Skip to main content

Healthcare professional and manager perceptions on drivers, benefits, and challenges of telemedicine: results from a cross-sectional survey in the Italian NHS

Abstract

Background

The Covid-19 pandemic provided new challenges and opportunities for patients and healthcare providers while accelerating the trend of digital healthcare transformation. This study explores the perspectives of healthcare professionals and managers on (i) drivers to the implementation of telemedicine services and (ii) perceived benefits and challenges related to the use of telemedicine across the Italian National Health Service.

Methods

An online cross-sectional survey was distributed to professionals working within 308 healthcare organisations in different Italian regions. Quantitative and qualitative data were collected through a self-administered questionnaire (June-September 2021). Responses were analysed using summary statistics and thematic analysis.

Results

Key factors driving the adoption of telemedicine have been grouped into (i) organisational drivers (reduce the virus spread-80%; enhance care quality and efficiency-61%), (ii) technological drivers (ease of use-82%; efficacy and reliability-64%; compliance with data governance regulations-64%) and (iii) regulatory drivers (regulations’ semplification-84%). Nearly all respondents perceive telemedicine as useful in improving patient care (96%). The main benefits reported by respondents are shorter waiting lists, reduced Emergency Department attendance, decreased patient and clinician travel, and more frequent patient-doctor interactions. However, only 7% of respondents believe that telemedicine services are more effective than traditional care and 66% of the healthcare professionals believe that telemedicine can’t completely substitute in-person visits due to challenges with physical examination and patient-doctor relationships. Other reported challenges include poor quality and interoperability of telemedicine platforms and scarce integration of telemedicine with traditional care services. Moreover, healthcare professionals believe that some groups of patients experience difficulties in accessing and using the technologies due to socio-cultural factors, technological and linguistic challenges and the absence of caregivers.

Conclusions

Respondents believe that telemedicine can be useful to complement and augment traditional care. However, many challenges still need to be overcome to fully consider telemedicine a standard of care. Strategies that could help address these challenges include additional regulations on data governance and reimbursements, evidence-based guidelines for the use of telemedicine, greater integration of tools and processes, patient-centred training for clinicians, patient-facing material to assist patients in navigating virtual sessions, different language options, and greater involvement of caregivers in the care process.

Peer Review reports

Introduction

The coronavirus disease 2019 (Covid-19) dramatically changed the ways of seeking and supplying medical care. During the pandemic, healthcare systems and individual healthcare providers implemented a variety of public health approaches to face the emergencies related to the spread of the Covid-19 virus, such as evidence-based contextual policies, intrahospital management strategies, community healthcare facilities, non-pharmaceutical interventions, improved surveillance, workplace prevention strategies, mental health interventions, and communication plans [1]. Among those strategies, the use of telemedicine tools rapidly increased across healthcare systems worldwide to respond to a combination of social distancing measures and the inability of primary and secondary care centres to receive non-Covid-19 patients [2,3,4,5].

The National Academy of Medicine defines telemedicine as “The use of electronic information and communications technologies to provide and support health care when distance separates the participants” [6], while the World Health Organization (WHO) has adopted a broader definition of telemedicine as “The delivery of health care services, where distance is a critical factor, by all health care professionals using information and communication technologies for the exchange of valid information for diagnosis, treatment and prevention of disease and injuries, research and evaluation, and for the continuing education of health care providers, all in the interests of advancing the health of individuals and their communities” [7, 8].

Telemedicine is particularly useful in circumstances where provider-patient interactions are not needed to occur in person, such as routine medical check-ups and mental health consultations [9, 10]. Reported benefits of telemedicine include increased access to care, shorter wait times, improved clinical results, high patient and clinician satisfaction and overall cost savings [11,12,13,14]. While, before the pandemic, telemedicine was primarily used to bring access to healthcare in remote areas with limited access to health services [9], the rapid implementation of telemedicine during the Covid-19 outbreak has been crucial to uphold the delivery of healthcare at a time when social distancing measures have been at the heart of fighting the contagion. In this context, telemedicine services allowed to free up space and capacity in acute hospitals and reduce the risk of infection transmission while ensuring continuity of care also for non-Covid19 patients [4, 15,16,17,18].

But the Covid-19 pandemic has resulted in the adoption of digital health technologies and changes to the way services are delivered at an incredible pace [5, 19,20,21,22]. While this is undoubtedly a great achievement demonstrating the capacity of healthcare systems to adapt quickly and to effectively transform the way they organise and deliver services when necessary, it is essential that this progress is maintained with sufficient resources in terms of finances, infrastructure and the workforce [2, 23,24,25,26,27].

When changes happen so rapidly and under exceptional circumstances, it is important to take a step back and question possible risks and downsides as well as the long-term impact and sustainability of these changes.

Challenges related to the implementation and use of telemedicine have been previously described by literature. They include greater medicolegal exposure, decreased continuity of care, reduced ability to perform physical examinations, workflow issues, clinician burnout, productivity and administrative burdens, and diminished personal connection with patients [26, 28,29,30,31,32,33,34,35]. A systematic review conducted by Scott Kruse et al. [36] identify several barriers associated with telemedicine implementation, including organisational (e.g. cost, reimbursement, legal liabilities), patient (e.g. age, education level, digital literacy) and staff, and programme barriers (e.g. complexity of technology for staff, resistance to change, licensing issues). A commonly reported barrier for patients is the inequality in access to telemedicine. For instance, older individuals are often less tech-savvy and comfortable with technologies, which may result in their inability to engage with telemedicine [37]. Low-income communities also demonstrate a lower uptake of telemedicine associated with lower educational levels and cultural or political factors [38]. As a result, on an international scale, lower- and middle-income countries, as well as certain higher-income countries, experience a digital divide, which refers to the gap between those who have access to technology, digital literacy and more specifically digital health literacy, and those who do not [28, 29, 39,40,41,42,43,44].

The challenges mentioned above are seen in all countries that use and aim to implement telemedicine [45] and are at risk of being amplified or simply overlooked in the case of a rapid implementation accompanied by profound changes in the regulatory, social, economic, and technological landscape [46].

During the pandemic, national bodies, healthcare providers, single healthcare professionals, and technology providers have undertaken many actions to respond innovatively and rapidly to continue providing services to patients using telemedicine. Some of these decisions might have been taken relatively short-term, and we don’t know how long they will be in place. For example, some technology providers provided free services during the pandemic, and healthcare providers may have understandably bypassed or accelerated staff training and change management support [47]. At the same time, national bodies significantly increased funding for telemedicine projects, accelerated procurement processes, and relaxed rules around information governance [47]. The Covid-19 pandemic has changed, in some cases temporarily, many countries’ regulations concerning telemedicine use [48]. A global increase in all forms of telemedicine for a wide range of speciality areas has been recorded, aided by quick governmental responses such as relaxation of compliance regulations [49] and, in some cases, the introduction of telemedicine legislation, such as South Korea, which has temporarily permitted its use [50]. Reimbursement was also made available where it was not the case before in certain countries [49, 51]. The United Kingdom embraced telemedicine at an unprecedented scale and has deployed a new digital-first approach to manage the streaming of care to the appropriate services, facilitated by relaxed General Data Protection Regulations (GDPR) [52]. Amid the pandemic (December 2020) the different Italian regional governments all agreed to define specific legal arrangements to integrate telemedicine into the national healthcare system, signing the document “National guidelines for the provision of telemedicine services”, which was licenced by the Ministry of Health [53]. Since then, the Italian regions have reacted in various ways and with different timescales.

These changes in the regulatory landscape have been accompanied by technological advancements, a greater offer of telemedicine solutions and a profound shift in people’s attitudes towards online interactions [54]. As a result, many activities that were previously conducted face-to-face are now conducted remotely, and people’s skills and confidence in using remote communication tools are significantly improved [55].

More research is required now to understand implementation drivers and challenges to the use of telemedicine following the dramatic changes at different system levels driven by the Covid-19 crisis [15].

As the use of telemedicine has increased exponentially since the Covid-19 pandemic onset, clinicians have had to quickly adapt to new ways of working [56, 57]. This involved learning new workflows and using new technologies to provide a substantial amount of virtual care. Sustaining and spreading the progress made during the pandemic will require a thorough examination of telemedicine’s impact in terms of systems and processes, clinical practice, quality of care, experiences of patients and staff, efficiency, and finances.

While we go back to a ‘new’ normal or the possible future waves, we must find ways to consolidate learning. More work is now required to learn from the experience and ensure that progress made during the pandemic will be effectively implemented, sustained, and spread in the future.

A large body of literature, including empirical studies, systematic reviews, and opinion pieces, describing benefits, challenges and success factors related to the use of telemedicine during the pandemic, has been increasingly produced [15]. However, knowledge about front-line staff perceptions is still limited [34, 58].

Rapid telemedicine adoption during the pandemic has raised many challenges for healthcare providers. Therefore, capturing the clinician’s perspective is critical to improving patient and clinician telemedicine experience and ensuring effective and sustainable implementation of these services [59].

Healthcare professional perceptions have been analysed in surveys [60,61,62] or other qualitative studies [58, 63,64,65]. Although these studies provide valuable insights into clinician perspectives on the use of telemedicine, they are limited to a single speciality [60, 61] and/ or local setting [62,63,64,65]. Furthermore, these studies mainly assess perceptions of benefits and challenges related to the use of telemedicine. Implementation drivers are less researched and primarily focus on factors related to the micro-system (e.g. team, patient-provider relationship, technological issues) and less on broader implantation drivers, such as organisational and regulatory aspects.

Perspectives of managers working with different roles within healthcare provider organisations could be useful to explore those factors. To our knowledge, no study has assessed the perspectives of healthcare professionals and managers covering a broad range of telemedicine services over different medical specialities at a national level. As telemedicine is likely to become an integral component of patient care even beyond the pandemic, it is crucial to understand clinician and manager perspectives about factors hindering and facilitating its implementation as well as its impact on patient experience, workflows, and the wider organisation [63].

This study aims to explore the perspectives of healthcare professionals and managers on: (i) drivers to the implementation of telemedicine services and (ii) perceived benefits and challenges related to the use of telemedicine across the Italian National Health Service (NHS).

The findings from this study will provide useful insights for healthcare providers and policymakers to improve telemedicine implementation across a wide range of medical specialities. This will allow embedding the positive work done during the pandemic while identifying and addressing the underlying challenges that health systems, organisations and individuals faced and are likely to face regarding telemedicine in the future.

Methods

A cross-sectional survey was conducted in collaboration with the Italian Association of Management Engineers in Healthcare (IN.GE.SAN.) [66].

The study was designed following the approaches proposed by Forza [67] and Karlsson [68].

Study setting

The study was conducted in the Italian NHS. In Italy, the 20 regional governments (19 Regions and 2 Autonomous Provinces) are responsible for planning and overseeing the management of healthcare services based on population needs. Regional governments designate local healthcare organisations’ boards and executive management, coordinate their action, supervise the achievement of results, and intervene in malpractice cases. At the local level, the NHS consists of Local Health Authorities, Hospital Enterprises (i.e., major hospitals with financial and technical autonomy [69]), National Institutes for Scientific Research (IRCCS), nursing homes and other public and private providers (e.g. laboratories).

The inclusion criteria of the study population were:

  • Organization type: Local Health Authorities, public Hospital Enterprises, IRCCS, nursing homes, and other public and private healthcare providers.

  • Country: Italy.

  • Participant role: Healthcare professionals and administrative staff.

Purposive sampling was used to maximise the national territory’s coverage by reflecting the population distribution across the different Italian Regions. For pragmatic reasons, we utilised the IN.GE.SAN. contact database. To achieve the desired distribution of the sample across the various Italian Regions, we supplemented email addresses from the IN.GE.SAN. contact list with those obtained from the websites of healthcare organisations. This resulted in a total sample of 615 healthcare professionals and managers (Table 1).

The survey instrument

The survey was designed through an iterative process. A comprehensive search of the literature was conducted to identify the main benefits, challenges, and implementation drivers of telemedicine [70,71,72,73] as well as innovation adoption and implementation frameworks [2, 3, 5, 74]. Empirical studies, opinion pieces, and evidence synthesis were included in the analysis, with a particular focus on studies describing the use of telemedicine during the Covid-19 pandemic. Literature findings and available telemedicine surveys (e.g., [54], [61]) were exploited for progressively devising the questionnaire. The questions were designed to obtain two complementary perspectives on the use of telemedicine: drivers and benefits/challenges. The final version of the survey includes nine items and is divided into two sections. Section 1 asked respondents to provide general information on their organisation, key characteristics of the implemented telemedicine services, and the drivers that have guided telemedicine implementation. Section 2 assessed healthcare professionals’ and managers’ perceptions of the benefits and challenges of telemedicine use. Furthermore, healthcare professionals were asked to express their opinion on the usefulness and ease of use of telemedicine from the patient’s point of view. The survey includes closed-ended questions where respondents need to indicate their level of agreement on a 5- point Likert scale (e.g., strongly agree, agree, neither agree nor disagree, disagree, strongly disagree) as well as multiple-choice and open-ended questions. The questionnaire is included in the Supplementary Materials 1 reporting for each item the related references (when appropriate).

To validate the questionnaire, the research team involved a group of health managers and health professionals, with experience in telemedicine service implementation, to assess the content validity of the entire questionnaire [75,76,77]. The items that did not achieve an adequate level of content validity were adjusted until they were deemed satisfactory or were removed. Then a pilot testing of the questionnaire was conducted. The survey was administered to five healthcare professionals and managers to examine the clarity of the questions, to evaluate the measurement validity, and to check the administration procedures [68]. This pre-test was carried out before the survey was frozen and distributed to the study population.

The final version of the questionnaire was implemented through an online questionnaire platform (Google Forms) thus allowing the remote completion of the questionnaire and the automatic collection of answers. To be noted that Google Forms also permitted each user to fill in the questionnaire once since it checks the email account before the start of the questionnaire.

Data collection

Data were collected for 4 months between June and September 2021. An email with a description of the project’s scope and a link to the questionnaire was sent out by the research team to 615 healthcare professionals and managers on 8th June 2021. Contact details of the research team were provided in case the respondents had any questions. The survey was estimated to take approximately 15 min to complete. To increase the response rate, respondents were followed up twice (on 25th June 2021 and on 2nd September 2021) via a reminder email inviting them to visit the survey homepage and complete the survey. Data were extracted on 27th September 2021. For all participants, the survey included mandatory and not mandatory fields. In addition, the manager perspective was required to complement the healthcare professional perspective only for relevant sections.

Data analysis

Data were cleaned before starting the analysis, which was conducted using Microsoft Excel 2019. Descriptive statistical analysis and different forms of representation have been used according to the typology of questions.

Concerning the Sect. 1, the descriptive statistical analysis gives information on the interviewed sample and the organisations where they work.

Concerning the Sect. 2, the questions may be open-ended or closed questions. The analysis of the open-ended questions has required a thematic analysis of the answers to group them in clusters. Then, a descriptive statistical analysis has been performed on the emerged clusters.

The closed questions concern two typologies: five points Likert scale and preference order.

The analysis has been performed coherently with other empirical analysis using the same typologies of closed questions [78,79,80,81]. The analysis of closed items related to Likert scale included a first step of calculation of the per cent distribution for each point of the scale. This per cent distribution was presented in three categories: (i) 4 + 5 - strongly agree and agree, (ii) 3 - neither agree nor disagree and (iii) 1 + 2 - disagree and strongly disagree [81]. In this way, it is possible to immediately catch a positive, negative, or neutral inclination related to a specific item. Instead, the analysis of closed items related to a preference order involves the count of the preferences given for a specific item and the calculation of the relative percentage.

Perspectives of healthcare professionals and managers were first analysed separately also according to the typology of organization where they work. The difference in views and organizations was then assessed and only reported when there was a significant mismatch.

Ethics and consent

According to Italian legislation, this project did not require formal ethical approval because it collected general opinions that do not include clinical data and neither personal data. Ethics approvals in Italy are regulated by the Regulation of the Ethics Committee of the Higher Institute of Health (Istituto Superiore di Sanità, Rome 12th May 2015). This Regulation stipulates that projects with epidemiological, medico-social, and evaluative contents need evaluation, approval and monitoring of trial protocols only if they contain personal data according to the Italian legislative decrees on clinical trials and function of the ethics committees (decreto legislativo 24 giugno 2003, n.211, “attuazione della Direttiva 2001/20/CE”; decreto ministeriale 8 febbraio 2013). The official definition of “personal data” is specified by the National Data Protection Authority (Garante per la Protezione dei Dati Personali, https://www.garanteprivacy.it/home/diritti/cosa-intendiamo-per-dati-personali– Regolamento (UE) 2016/679 art.9). According to this Regulation, the term “personal data” applies to data containing information about first and last name, images, tax code, IP address and license plate number. None of this information was collected in this study. The platform on which the anonymous questionnaire was completed does not allow us to trace the IP address of the person who connected to the survey. The data collected were absolutely anonymous, and tracing the identity of the survey participants was not possible. Moreover, this study did not involve patients and clinical data. Informed consent was obtained from all subjects and/or their legal guardian(s). Consent information was included in the invitation and reminder emails. Participation was entirely voluntary, and consent was implied by responding to the survey. Data were anonymised and treated with the utmost confidentiality in accordance with applicable Italian data protection laws.

Results

A total of 124 participants completed the survey, resulting in about 20% (124/615) response rate (Table 1). Two-thirds of the respondents were healthcare professionals (86/124), while one-third were managers (38/124). This reflects the distribution of these two groups within healthcare providers in Italy. The respondents were balanced in terms of sex (46% women and 54% men), age distribution (average 48 years), and years of service (average 21 years of service). Most respondents belong to public health organisations (90%), as the health service is primarily public in Italy. The health organisations of the respondents were located throughout the entire country, with 14/20 Regions involved, covering more than 90% of the Italian population (Table 1). The regional distribution of respondents is consistent with existing literature, reports, and recent data from the Italian Ministry of Health, highlighting disparities in the adoption of telemedicine services across Italy [82,83,84,85]. Notably, there has been a significantly higher uptake in Northern Italy compared to Southern Italy.

Table 1 Distribution of the number of surveys sent, number of respondents and response rate by Region (three respondents didn’t specify the Region)

Drivers to the implementation of telemedicine services

The main factors driving the adoption of telemedicine services during the Covid-19 pandemic have been grouped into three macro-areas: (i) organisational, (ii) technological, and (iii) regulatory (Fig. 1). The answers are aligned among clinicians and managers.

Fig. 1
figure 1

Drivers related to the adoption of telemedicine service during the Covid-19 period

(i) Organisational drivers.

The most cited driver to the implementation of telemedicine is the attempt to contain the spread of the Covid-19 virus by reducing face-to-face contacts (80%, 99/124). This is followed by opportunities to enhance the quality and efficiency of care (61%, 76/124). Previous experience with telemedicine (19%, 24/124) and the availability of technological infrastructure (31%, 39/124) and financial resources (30%, 37/124) are instead perceived by fewer respondents as relevant drivers to telemedicine adoption during the pandemic crisis.

(ii) Technological drivers.

The most commonly cited driver related to the technology is relative to its “ease of use” for healthcare professionals, patients, and caregivers (82%, 102/124). This is followed by the efficacy and reliability of the technology (64%, 80/124) and compliance with current data security and privacy regulations (64%, 80/124). The possibility to safely share information between healthcare providers and patients, as well as across different organisations, was also perceived as a key driver to the adoption of telemedicine by more than half of respondents (53%, 66/124). Drivers that respondents have less cited include a strong relationship with the technology supplier (12%, 15/124), the cost of the technology (15%, 19/124), and the activation of training courses (28%, 35/124).

(iii) Regulatory drivers.

The simplification of regulations due to the Covid-19 outbreak – in terms of financial accounting, privacy rules, technological purchasing, and governance – was the most cited driver of the adoption of telemedicine services (84%, 104/124). Moreover, similarly to what emerged in the organisational drivers, the availability of external funds (e.g., national funds) for acquiring the technology is not perceived as a key driver to the activation of telemedicine services (28%, 35/124).

Perceived benefits and challenges related to the use of telemedicine

Both healthcare professionals and managers perceive telemedicine as a valuable service to improve patient care and believe that the telemedicine solutions introduced during the pandemic can continue to be used beyond the Covid-19 emergency (96%, 119/124). However, 66% (57/86) of healthcare professionals believe that telemedicine can’t completely substitute face-to-face care due to challenges related to the patient-doctor relationship, the need for a physical examination to diagnose and treat some health conditions and the day-to-day organisation of clinical work.

89% (110/124) of respondents shared their perspectives on the expected benefits of telemedicine through an open-ended question. These are mainly related to the positive impact on healthcare provider operations, patient travel, and direct patient care. The reduction of the waiting list for inpatient and outpatient appointments was indicated by respondents as the main benefit of telemedicine, followed by the decrease in Emergency Department (ED) attendance and the reduction of time and cost for patient and clinician travel. Other benefits perceived as relevant by respondents include the possibility for patients to be continuously and timely monitored by healthcare professionals and to get in touch with them more often, increasing the efficiency of follow-ups. Another benefit perceived as important by respondents is the possibility of ensuring a better outreach service, as telemedicine allows greater coverage of health services in areas that are generally difficult to reach (e.g., mountainous areas). Three healthcare professionals also highlighted how telemedicine could facilitate secondary care integration with other care settings.

By looking more closely at the perceptions about the impact of telemedicine on operational and organisational aspects, data reveal that both healthcare professionals and managers believe telemedicine can positively impact these areas (Fig. 2).

Fig. 2
figure 2

Impact of telemedicine on operational and organizational aspects

Perceptions of telemedicine’s impact on operational aspects were further explored through an optional question asking healthcare professionals whether the adoption of telemedicine impacted their day-to-day work activities. 77% (66/86) of the healthcare professionals answered this question, and 38% (25/86) of them filled in an open-ended question asking to explain why. 48% (32/66) of respondents perceive that the work routine improved, and 40% (26/66) believe it didn’t change. Only 12% (8/66) of respondents believe that the work routine worsened as a result of the introduction of telemedicine, specifying that it was mainly due to the lack of IT platforms specific for telemedicine services and to the poor integration between telemedicine and traditional care processes leading to duplication of activities and staff burden.

Healthcare professionals were also asked through an optional question if they believe that telemedicine services are more effective than traditional care in delivering better patient outcomes. Data reveal that despite clinicians acknowledging the beneficial role of telemedicine in enhancing the frequency of doctor-patient interactions, only 7% (5/67) of respondents believe that telemedicine services are more effective than traditional care. In comparison, 48% (32/67) think that telemedicine is less effective, and the remaining 40% (30/67) believe that they are equally effective.

Moreover, healthcare professionals’ barriers to the use of telemedicine were investigated through closed-ended questions revealing that common challenges are related to the low quality of internet connection and other technologies, the lack of trust in the technology used, and the difficulty in using the technology (Fig. 3).

Fig. 3
figure 3

Challenges with the use of telemedicine for healthcare professionals

Looking at the patient side, healthcare professionals believe that patients have a positive attitude toward telemedicine, both in terms of acceptability and user experience (Fig. 4).

Fig. 4
figure 4

Patient acceptability and satisfaction

However, some challenges are still related to the equity of access and technology usage. Healthcare professional concerns are associated with the poor offer of these services in some territories and specific barriers some patient groups face (Fig. 5).

Fig. 5
figure 5

Barriers to the use of telemedicine for specific groups of patients

Healthcare professionals (64%, 43/67) perceive that the most relevant barriers to the use of telemedicine for patients are related to socio-cultural factors, followed by technological and linguistic challenges and the absence of caregivers. 75% (50/67) of respondents believe that the presence of a caregiver is essential for the use of telemedicine services to assist elderly patients and people with disabilities.

Discussions

The Covid-19 pandemic presented new challenges and opportunities for patients, their families, and healthcare professionals while also speeding up the current process of digital transformation in healthcare [86]. As telemedicine will increasingly become an integral component of healthcare services provision, it’s important to understand front-line staff perception and experience with its use. In this paper, the perceptions of healthcare professionals and managers on benefits, challenges, and drivers to the implementation of telemedicine services have been explored across the Italian NHS during the pandemic period.

We found that both healthcare professionals and managers believe that using telemedicine services can positively impact patient care and operational and organisational aspects. This is in line with other studies exploring clinician perspectives on telemedicine during the Covid-19 crisis [34, 58,59,60,61].

Drivers to the implementation of telemedicine services

As expected, study participants agreed that the rapid adoption of telemedicine services throughout the Covid-19 pandemic was mainly due to the need to respond to the emergency by reducing face-to-face contact [4, 64, 65, 87]. Italy was one of the first European countries to be severely impacted by COVID-19, with its healthcare system overwhelmed by the influx of patients [88]. In this context, telemedicine was critical in reducing face-to-face contact and limiting virus propagation while reducing the burden on hospitals and ensuring continuity of care [89,90,91].

Findings also confirm previous studies showing how regulatory aspects are a barrier to the adoption of telemedicine and how easing these barriers can facilitate the implementation of these services [92,93,94,95,96,97,98,99]. In Italy, like in other countries, the use of telemedicine has remained relatively limited in recent years due to several regulatory obstacles, such as poor reimbursement regulations, complex technology purchasing processes, and a lack of data governance and privacy guidelines [61, 100]. Italy features a decentralised healthcare system in which regions manage their own healthcare services. As a result, legislation has become fragmented, with different regions implementing telemedicine regulations and reimbursement schemes to varying degrees [101]. The lack of a unified regulatory framework presents difficulties for healthcare providers and businesses seeking to operate on a national scale. Because telemedicine involves the transmission of sensitive patient data, data security and privacy are critical concerns. Telemedicine services in Italy, like those in other European nations, must comply with the European Union’s General Data Privacy Regulation (GDPR) and national data privacy legislation. Compliance with these standards can be difficult to achieve, especially for smaller healthcare providers and startups with limited resources [102]. Remote contact-specific data privacy regulations were absent in many countries, including Italy, before the epidemic and then implemented [61, 103]. Similar to this, particular data protection regulations for telemedicine that were not previously available in most situations became available during the pandemic [61, 94,95,96,97,98, 104,105,106,107]. Moreover, before Covid-19, most regional healthcare systems and insurance providers didn’t pay for telemedicine consultations [61]. Telemedicine reimbursement schemes in Italy vary across regions, with certain regions covering specific telemedicine services while others do not. The inconsistency of reimbursement can be a hurdle for healthcare providers looking to implement telemedicine services [108]. To encourage the use of telemedicine during the pandemic, some regions in Italy expanded their reimbursement policies to cover telemedicine services [108]. This enabled healthcare providers to be compensated for remote consultations, making telemedicine more appealing to both providers and patients. The Italian government also implemented temporary adjustments to existing regulations to promote telemedicine during the COVID-19 pandemic. For example, the Ministry of Health established guidelines on the use of telemedicine during the crisis, offering a clearer structure for healthcare practitioners and organisations to follow [53, 109]. However, although in many countries changes in national and local regulations and guidelines during and beyond Covid-19 have introduced specific reimbursements for telemedicine services and improved data protection and privacy for telemedicine, concerns about these issues have been still reported in recent studies by physicians in Italy and in other countries as a major challenge to the adoption of telemedicine [59,60,61, 103]. During the pandemic, local, national, and international governments around the world also used financial incentives to encourage healthcare providers to adopt telemedicine services, such as grants for technology acquisition and implementation. The Italian government allocated funds to support the expansion of telemedicine services during the pandemic, by enabling healthcare organisations to invest in the infrastructure and equipment required to deliver remote consultations and monitor patients at home [110]. Several Italian regions have allocated funds to support the development and deployment of telemedicine solutions. For example, the Lombardy area, which was particularly heavily struck by the epidemic, allocated significant funds to develop telemedicine services and assist remote patient monitoring [111]. Italy also benefited from European Union (EU) financing to boost the digitalization of healthcare services, particularly telemedicine. The EU’s “Next Generation EU” recovery fund, established in response to the COVID-19 crisis, provided billions of euros to member states, including Italy, to assist digital transformation projects [112]. This is reflected in our findings revealing that, differently from previous literature [113], the availability of financial resources to acquire or implement telemedicine services was not regarded as a key driver of adoption during the pandemic.

Perceived benefits related to the use of telemedicine

According to previous literature, respondents perceive telemedicine as useful in improving patient care even beyond the pandemic crisis [63, 114,115,116]. The possibility to enhance patient care, improve operational aspects and reduce travel for patients and healthcare professionals were perceived as key benefits of the use of telemedicine both during and beyond the pandemic period. Our findings corroborate those of other studies that found telemedicine to have positive effects on follow-up care efficiency, the ability to see patients more frequently when necessary, improved rapidity of care delivery (shorter wait times for appointments, shorter consultation times), and a reduction in missed appointments [15, 55, 58, 92, 105, 107, 117,118,119]. Through telemedicine, patients can avoid travelling to and from appointments, taking less time off work, or waiting in waiting rooms. Avoiding travel saves time and money on parking, transportation, childcare, or other carer costs. Patients who face physical or financial obstacles to access, such as the elderly, those with mobility issues, people who live in remote locations, and people with low incomes, stand to benefit especially from this [58, 92,93,94,95, 106, 107, 117,118,119,120,121,122,123].

Our findings also corroborate previous research describing how telemedicine can improve the quality of work of healthcare professionals as telemedicine gives doctors more flexibility with their schedules and patient availability [58]. Moreover, remote working allowed those who were more at risk of contracting the virus during the pandemic period to continue working (such as senior physicians).

In terms of healthcare infrastructure and resources, Italy has considerable regional disparities, with some rural and remote areas having limited access to healthcare facilities [124]. In line with previous literature, participants concurred that telemedicine could improve patient access to care, particularly for individuals who reside in rural, underdeveloped, or resource-constrained locations [55, 60, 92, 93, 104, 105, 107, 120, 123, 125].

Regarding improving operational and organisational aspects, findings confirm previous literature demonstrating telemedicine’s positive impact in reducing patient waiting lists and ED attendance [126,127,128,129]. Participants also believe that adopting telemedicine services could potentially lead to an overall improvement in administrative and care processes.

Perceived challenges related to the use of telemedicine

Some participants expressed concerns about poor coordination of workflows leading to duplication of tasks and additional burdens for clinicians. According to earlier research, the burden of telemedicine in Italy like in other countries can be related to the challenges of integrating telemedicine into routine clinical practice, the complexity and lack of interoperability of platforms, poor data integration among devices, and the requirement for additional time for virtual consultations [15, 61, 92, 98, 99, 119, 123, 130,131,132]. Other studies described how telemedicine services led to the duplication of visits when the virtual assessment was insufficient [58], or to an increased workload for clinic administrative personnel to coordinate access to virtual treatment (including assisting patients and caregivers in choosing between phone and video conferences and facilitating technology troubleshooting) [64].

Moreover, most respondents agree that telemedicine services can’t completely substitute patient-clinician and clinician-clinician face-to-face interactions throughout the care process. Only a few respondents (7%) perceive telemedicine services as more effective in delivering better patient outcomes than traditional (face-to-face) care. Our findings corroborate previous literature reporting that this is mainly due to challenges with the patient-doctor relationship, cases in which physical examination is needed or recommended, and the organisation of clinical work [28, 29, 34, 41, 63, 132,133,134,135].

Difficulties related to the decreased ability to perform physical examinations have been widely reported in other studies exploring the healthcare professionals’ perspective on the use of.

Telemedicine [58, 60]. Clinicians believe that while there are some situations in which face-to-face consultations can be avoided, such as those in which a diagnosis can be made based mainly on the patient’s medical history (i.e., no physical examination is required), there are other circumstances in which a physical examination is necessary or advised [60, 136]. Recent papers describe the attempt to solve this issue by releasing instructions for efficient virtual examinations [137, 138]. However, in Italy, specific instructions to guide the use of telemedicine to diagnose and treat patients with specific medical conditions were not present at the time the survey was conducted. Physical examination is essential not only for efficient clinical practice - it is also an integral component of the doctor-patient therapeutic connection [58, 139]. Studies have also drawn attention to the possibility that telemedicine technologies could jeopardise the continuity of treatment and the therapeutic relationship, two features of care delivery crucial to clinical practice that have significant implications for patients and doctors [28,29,30, 58]. Effective treatment of mental, emotional, and behavioural health issues depends on the relationship between the patient and the clinician [30]. The Covid-19 pandemic has highlighted the importance of establishing social connections remotely for therapeutic human relationships in addition to assuring the safety and effectiveness of care delivery [29, 30]. In a virtual care context, maintaining continuity of care and establishing therapeutic relationships with patients necessitates learning new techniques for establishing deep connections through everyday interactions [30].

Our findings also show how these concerns and obstacles associated with technology-mediated communication between patient and doctor, as well as issues concerning poor quality and difficulty with technology use, can have a detrimental impact on clinician trust in telemedicine and its widespread adoption [63].

Moreover, according to earlier studies, a major obstacle to the adoption of telemedicine is related to technological limitations faced by both patients and healthcare professionals [58, 61, 92, 96, 99, 100, 107, 118, 131, 140]. This is especially true when using virtual tools to make diagnoses and the difficulty of learning new software while under time constraints at the beginning of the pandemic [58]. The impact of technological obstacles on both patients’ access to care and doctors’ ability to deliver high-quality care should not be underestimated. This is consistent with research findings showing that some patients and providers face technological literacy and logistical challenges when participating in telehealth visits, particularly given the variety of technologies available and/or the ways in which some medical practices have shifted technologies [28, 41, 135]. Previous studies show how patients’ concerns with telemedicine are related to a lack of knowledge and skills to use these technologies effectively, restricted access to the necessary equipment (e.g. cameras, email, smartphone), difficulties with installing applications and limited access to the internet [58, 60, 63]. In some parts of Italy, particularly in rural areas, limited internet access or low bandwidth can hamper the effective implementation of telemedicine services. A commonly reported remedy when a patient is unable to connect for a video appointment is switching to a phone conversation, as this was the most straightforward option for both doctors and patients [58, 64]. However, this is not a desirable option as, according to research, the lack of visual information limits clinicians’ capacity to evaluate the patient’s condition (literacy, language barrier, difficulty asking/responding to inquiries, etc.) and the patients’ “homes” actual surroundings, causing diagnostic difficulties [58, 63, 64].

Finally, our findings show that although healthcare professionals perceive a positive attitude of patients toward telemedicine, they believe several barriers need to be overcome to improve equity of access and use. In Italy, there is a considerable digital divide, with older people and people from low-income families frequently lacking access to digital devices and the essential digital literacy skills to fully benefit from telemedicine services [141,142,143]. Our results corroborate a large body of literature showing that problems with access and use of the technologies are exacerbated for specific groups of people, such as older adults, people with hearing impairment, disabilities, or other vulnerabilities (e.g., low-income) as well as for people not speaking the local language [92, 120, 122]. In line with our findings, these studies emphasise the critical role of caregivers in assisting patients with technological challenges, the description of the medical history and the development of a treatment plan, which is especially necessary when seeking virtual care [64].

Implications

With this study, we contribute to a growing body of literature exploring the use of telemedicine from the front-line staff perspective during the Covid-19 pandemic. Because the increasing use of telemedicine during the pandemic drastically impacted how care services were provided, this study allowed us to gather staff perspectives in a different situation compared to earlier studies. We believe that our findings are generalisable since our survey included individuals from various Italian areas and application contexts in terms of medical specialisations and technologies.

The Covid-19 pandemic has significantly accelerated the adoption of telemedicine services in Italy [101]. Healthcare professional and manager perceptions investigated in this study suggest that, while telemedicine cannot completely replace face-to-face care, it can improve patient care, patient experience, and operational and organisational performance if used in conjunction with traditional care practices. As the use of telemedicine in Italy and worldwide grows in parallel with the continued use of face-to-face visits, it is critical to develop strategies to ensure that this mode of care delivery is, secure, and equitable in both routine and emergency scenarios.

This study reveals that regulatory changes occurring in Italy amid the Covid-19 pandemic were perceived as key drivers to the adoption of telemedicine services. Study participants pointed out how compliance with data governance and regulations is a critical factor for the adoption of telemedicine services and how the simplification of regulations (e.g. regarding financial accounting, privacy issues, technological purchasing) was a key driver to the adoption of telemedicine during the pandemic. Several regulations and guidelines have been implemented by central and local governments in Italy since the start of the pandemic [53, 109, 110]. However, numerous regulatory problems have been encountered in the attempt to regulate telemedicine, as have numerous efforts by governmental administrations to develop a robust and cohesive legal framework. The highly rapid progress of technology, as well as the ongoing evolution of European cybersecurity rules, make defining a suitably complete regulatory scenario difficult [144]. The applicable legal regulations for telemedicine are still insufficient, and the current ones are unclear; there are no consistent regulations at the European level for healthcare and the practise of medicine [145]. As a result, the use of this instrument in public services remains a challenge. Additional standards and regulations are required as the industry evolves, as some of those in place were only temporary during the Covid-19 outbreak [3]. A greater effort should be made by governments and regulatory bodies to enhance data protection and privacy and provide clearer rules and guidance on the reimbursement of telemedicine services. Moreover, technology access could be improved by retaining and upgrading measures established during the pandemic to ease purchase processes and by keeping supporting technology acquisition and implementation financially.

Findings from this study also highlight that attention should be paid to fully integrating telemedicine services into current care processes and systems. The availability of evidence-informed guidance would facilitate this integration by improving clinician trust in the use of the technology and would eventually lead to increased efficacy and efficiency of care by avoiding the repetition of visits for cases where virtual care was not the preferable care modality [34, 64, 146, 147]. So far little guidance is available in Italy to help clinicians, patients, and caregivers understand how to integrate virtual care safely and effectively into clinical practice. Further guidelines should be developed by national and international medical associations and scientific communities to indicate evidence-based practices for the use of telemedicine in different medical specialities. These guidelines should outline criteria to suggest cases where telemedicine is more appropriate and where instead, a physical examination is needed or recommended [128, 148]. Moreover, as the stress placed on healthcare systems by the emergency crisis relaxes, the development and implementation of operational guidelines within and across health and care organizations would also help to redesign and standardise workflows, as well as redefine roles to optimise the use of virtual care alongside traditional care services [34, 61, 65, 149,150,151,152]. Findings from this study also highlight how care and administrative process efficiency could be further improved by reducing the heterogeneity of the digital platforms and by making sure that tools used within each remote care process are interoperable. The problem of the heterogeneity of information systems and data integration in Italy is further compounded by the fragmentation of regional health systems. In 2022 an initiative has been launched by the central government to build a National Platform for Telemedicine, which should potentially guarantee the interoperability and integration across the different digital ecosystems [153]. Guidelines aimed at providing a single strategic direction at national level to improve data sharing and interoperability are also available, however their implementation across the national territory is still a significative challenge [154].

Inequalities in access to care and technology usage were also mentioned as a key concern to study participants’ use of telemedicine, as related to disparities in service offered across national territories, the presence of technological infrastructure, as well as economic, socio-cultural, technological, and linguistic challenges, and the absence of a caregiver. Guidance and regulations aimed at increasing the equity of access to care for specific groups of patients who might have considerable issues accessing and using telemedicine services could help to reduce these inequalities. National guidelines on this are relatively new in Italy, and they did not exist at the time the survey for this study was administered. In November 2022 the Italian Government published the “National guidelines for telemedicine services – functional requirements and service levels” aimed at improving equity of access and efficiency of telemedicine by outlining patient eligibility criteria for virtual care based on individual patient characteristics, such as clinical aspects, availability of the required technology, digital literacy, patient autonomy, or presence of a caregiver [155]. Although this represents a significant step forward, many challenges still need to be faced with implementing these guidelines in practice. Other approaches that could be implemented to reduce the potential disparities in care access as emerging from this study include: increasing investments to enhance the technological infrastructure and connectivity, expanding the availability of telemedicine services to enable access and increase patient choice in underserved areas, providing technologies at reasonable prices for people in need, offering different language options and involving caregivers as much as possible in the care process.

Poor digital literacy, poor training, and difficulty in using telemedicine technologies have also been reported by the study participants as key barriers to the effective use of telemedicine. More assistance to facilitate video visits for patients and professionals could help to overcome these barriers. In Italy digital health skills are still not fully embedded into clinicians’ academic training [156]. Clinical educators should focus on integrating new telemedicine competencies into learner curricula and practice. Telemedicine education for healthcare professionals should emphasise integrating learners into workflows and assisting patients in navigating virtual visits by incorporating patient-centred care principles [63]. This training should encompass the social and emotional components of care delivery to provide clinicians with guidance and skills for remotely nurturing and developing the patient-physician relationship, especially with new patients [58], as this has been reported by the study participants as a critical concern related to the use of telemedicine services. On the patient side, creating patient-facing materials to assist patients in preparing for and navigating virtual sessions (e.g. pre-visit information on camera/body placement, clothes, and setting) has also been suggested as an effective approach to improve the efficiency and quality of telemedicine visits [157, 158] and overcome some technical challenges emerging from this study. To close the digital divide, organisations must look deeper into their patients’ telehealth experiences and engage them in identifying the constraints that impede their capacity to participate in video sessions [64, 159]. In this study, we did not directly survey patients, and all identified benefits and challenges, as well as perceptions, are based solely on clinician experience. Future research could elicit these perceptions directly from patients to better understand their challenges and perceived benefits of telemedicine. A qualitative study could be conducted to explore patient telemedicine experiences and develop patient resources and interventions to improve access to technology and better screen for and encourage patient eHealth literacy [160].

Healthcare professional perspective could also be further explored in future studies. Previous research shows that clinical experience and burnout are improved by training and a high technical knowledge and experience level [63]. As clinicians get more comfortable with virtual visits and new clinical support is added, provider experiences with telemedicine should be reassessed.

Lastly, more research could be conducted to understand the economic implications of healthcare provider reimbursement for virtual care and technology and operational aspects related to widespread virtual care deployment in clinical practice.

Limitations

A key limitation of this survey was the low response rate (20%). As reported in similar studies, experiencing this can be attributable to the burden that healthcare providers faced during the pandemic [60]. The low response rate might have resulted in selection bias of study participants, leading to an overestimation of positive attitudes toward telemedicine, as healthcare professionals and managers with little interest in telemedicine might have been less likely to respond [80]. However, we compared answers from the two waves of respondents, and there was no significant difference.

Another limitation is related to the fact that the questionnaire used mainly closed-ended questions as these are perceived as easier to complete and help to optimise completion rates [161]. This could have led to the omission of some factors due to the limited options available to respondents. However, we believe this is unlikely as the survey design was driven by an extensive literature review and discussed with the study team, which includes healthcare staff and academics with health service delivery and telemedicine expertise. Closed-ended questions may restrict the respondents to the choices provided. Still, we do not believe this is the case because we added several open-ended questions allowing participants to expand on their responses and greater freedom of expression [162].

Other limitation concerns the characteristics of the sample. Although the questionnaire was sent to different typologies of healthcare organisations, the 90% of the respondents belong to public health organisations. Moreover, the majority of respondents are from organizations located in Northern Italy, reflecting the uneven distribution of telemedicine services across the national territory [82]. Therefore, the results are not generalizable to the whole Italian health context. Also, the lack of comparison among different countries makes the findings of interest only to Italian healthcare management and policymakers.

The period in which the survey has been performed may also have caused biases. The strong conditioning in ensuring the social distance due to Covid may have emphasised positive perceptions towards telemedicine. A new survey in the current period could make the findings more robust. Finally, drivers, benefits, and challenges have been analysed only from the provider’s perspective, as patients were not included in the survey.

Conclusions

In this study, we explore manager and healthcare professional perceptions on drivers, benefits, and challenges related to the use of telemedicine through a cross-sectional survey conducted in the Italian NHS during the Covid-19 pandemic. To our knowledge, this is the first study exploring healthcare professional and manager perspectives on the use of telemedicine at the national level over a range of different technologies and medical specialities.

Since the start of the Covid-19 pandemic, telemedicine is becoming an integral part of care delivery worldwide. It is vital to continue and improve telemedicine as a tool to supplement and augment in-person treatment and to ensure that both clinician and patient experiences are efficient, positive, and patient-centred. Several difficulties must yet be overcome before telemedicine may be considered a standard of care. To be successful, these initiatives necessitate guidelines and training, as well as careful consideration of technological hurdles and human interaction requirements.

Data Availability

The questionnaire and the datasets used and analysed during the current study are available from the corresponding author upon reasonable request.

Abbreviations

Covid-19:

Coronavirus disease 2019

ED:

Emergency Department

GDPR:

General Data Protection Regulations

IN.GE.SAN.:

Italian Association of Management Engineers in Healthcare

IRCCS:

National Institutes for Scientific Research

NHS:

National Health Service

References

  1. Cascini F, Hoxhaj I, Zaçe D, Ferranti M, Di Pietro ML, Boccia S, et al. How health systems approached respiratory viral pandemics over time: a systematic review. BMJ Glob Health. 2020;5:e003677.

    PubMed  PubMed Central  Google Scholar 

  2. Ohannessian R, Duong TA, Odone A. Global telemedicine implementation and integration within health systems to fight the COVID-19 pandemic: a call to action. JMIR Public Health Surveill. 2020;6:e18810.

    PubMed  PubMed Central  Google Scholar 

  3. Keesara S, Jonas A, Schulman K. Covid-19 and health care’s digital revolution. N Engl J Med. 2020;382:e82.

    CAS  PubMed  Google Scholar 

  4. Smith AC, Thomas E, Snoswell CL, Haydon H, Mehrotra A, Clemensen J, et al. Telehealth for global emergencies: implications for coronavirus disease 2019 (COVID-19). J Telemed Telecare. 2020;26:309–13.

    PubMed  Google Scholar 

  5. Gilbert AW, Billany JCT, Adam R, Martin L, Tobin R, Bagdai S, et al. Rapid implementation of virtual clinics due to COVID-19: report and early evaluation of a quality improvement initiative. BMJ Open Qual. 2020;9:e000985.

    PubMed  PubMed Central  Google Scholar 

  6. Field MJ, Telemedicine. A guide to assessing telecommunications in healthcare. J Digit Imaging. 1997;10:28.

    CAS  PubMed  PubMed Central  Google Scholar 

  7. WHO. Telemedicine: opportunities and developments in Member States: report on the second global survey on eHealth. 2010.

  8. WHO. Implementing telemedicine services during COVID-19: guiding principles and considerations for a stepwise approach. 2020;:1–18.

  9. Bashshur RL, Reardon TG, Shannon GW. Telemedicine: a new health care delivery system. Annu Rev Public Health. 2000;21:613.

    CAS  PubMed  Google Scholar 

  10. Fortney JC, Pyne JM, Edlund MJ, Williams DK, Robinson DE, Mittal D, et al. A randomized trial of telemedicine-based collaborative care for depression. J Gen Intern Med. 2007;22:1086–93.

    PubMed  PubMed Central  Google Scholar 

  11. Kruse CS, Krowski N, Rodriguez B, Tran L, Vela J, Brooks M. Telehealth and patient satisfaction: a systematic review and narrative analysis. BMJ Open. 2017;7:e016242.

    PubMed  PubMed Central  Google Scholar 

  12. Nguyen M, Waller M, Pandya A, Portnoy J. A review of patient and provider satisfaction with telemedicine. Curr Allergy Asthma Rep. 2020;20:1–7.

    Google Scholar 

  13. Granja C, Janssen W, Johansen MA. Factors determining the success and failure of eHealth interventions: systematic review of the literature. J Med Internet Res. 2018;20:e10235.

    PubMed  PubMed Central  Google Scholar 

  14. Gentili A, Failla G, Melnyk A, Puleo V, Di Tanna GL, Ricciardi W, et al. The cost-effectiveness of digital health interventions: a systematic review of the literature. Front Public Health. 2022. 10.

  15. Monaghesh E, Hajizadeh A. The role of telehealth during COVID-19 outbreak: a systematic review based on current evidence. BMC Public Health. 2020;20:1–9.

    Google Scholar 

  16. Simcock R, Thomas TV, Estes C, Filippi AR, Katz MS, Pereira IJ, et al. COVID-19: global radiation oncology’s targeted response for pandemic preparedness. Clin Transl Radiat Oncol. 2020;22:55–68.

    PubMed  Google Scholar 

  17. Shaker MS, Oppenheimer J, Grayson M, Stukus D, Hartog N, Hsieh EWY, et al. COVID-19: pandemic contingency planning for the allergy and immunology clinic. J Allergy Clin Immunol Pract. 2020;8:1477–88.

    PubMed  PubMed Central  Google Scholar 

  18. Yang Y, Zhou Y, Liu X, Tan J. Health services provision of 48 public tertiary dental hospitals during the COVID-19 epidemic in China. Clin Oral Investig. 2020;24:1861–4.

    PubMed  PubMed Central  Google Scholar 

  19. England NHS. Millions of patients benefiting from remote consultations as family doctors respond to COVID-19. News. 2020;1:19–21.

    Google Scholar 

  20. Rapson J. Covid sparks boom in digital hospital outpatient appointments. Health Serv J. 2020;11.

  21. Thornton J. The virtual wards supporting patients with covid-19 in the community. BMJ: Br Med J (Online). 2020;369.

  22. Carding N. Demand for NHS tech services rockets amid covid-19 crisis [Internet]. Health Service Journal. https://www.hsj.co.uk/technology-and-innovation/demand-for-nhs-tech-services-rockets-amid-covid-19-crisis/7027275.article.

  23. Hollander JE, Carr BG. Virtually perfect? Telemedicine for COVID-19. N Engl J Med. 2020;382:1679–81.

    CAS  PubMed  Google Scholar 

  24. Greenhalgh T, Wherton J, Shaw S, Morrison C. Video consultations for covid-19. BMJ. 2020;368.

  25. Fagherazzi G, Goetzinger C, Rashid MA, Aguayo GA, Huiart L. Digital health strategies to fight COVID-19 worldwide: challenges, recommendations, and a call for papers. J Med Internet Res. 2020;22:e19284.

    PubMed  PubMed Central  Google Scholar 

  26. Jiménez-Rodríguez D, Santillán García A, Montoro Robles J, Rodríguez Salvador MdelM, Muñoz Ronda FJ, Arrogante O. Increase in video consultations during the COVID-19 pandemic: healthcare professionals’ perceptions about their implementation and adequate management. Int J Environ Res Public Health. 2020;17:5112.

    PubMed  PubMed Central  Google Scholar 

  27. Smith WR, Atala AJ, Terlecki RP, Kelly EE, Matthews CA. Implementation guide for rapid integration of an outpatient telemedicine program during the COVID-19 pandemic. J Am Coll Surg. 2020;231:216–22.

    PubMed  PubMed Central  Google Scholar 

  28. Srinivasan M, Asch S, Vilendrer S, Thomas SC, Bajra R, Barman L, et al. Qualitative assessment of rapid system transformation to primary care video visits at an academic medical center. Ann Intern Med. 2020;173:527–35.

    PubMed  Google Scholar 

  29. Shankar M, Fischer M, Brown-Johnson CG, Safaeinili N, Haverfield MC, Shaw JG et al. Humanism in telemedicine: connecting through virtual visits during the COVID-19 pandemic. 2020.

  30. Bergman D, Bethell C, Gombojav N, Hassink S, Stange KC. Physical distancing with social connectedness. The Annals of Family Medicine. 2020;18:272–7.

    PubMed  Google Scholar 

  31. Wachter R, Goldsmith J. To combat physician burnout and improve care, fix the electronic health record. Harv Bus Rev. 2018.

  32. Newbould J, Abel G, Ball S, Corbett J, Elliott M, Exley J et al. Evaluation of telephone first approach to demand management in English general practice: observational study. BMJ. 2017;358.

  33. Salisbury C, Murphy M, Duncan P. The impact of digital-first consultations on workload in general practice: modeling study. J Med Internet Res. 2020;22:e18203.

    PubMed  PubMed Central  Google Scholar 

  34. Gomez T, Anaya YB, Shih KJ, Tarn DM. A qualitative study of primary care physicians’ experiences with telemedicine during COVID-19. J Am Board Family Med. 2021;34 Supplement:61–70.

    Google Scholar 

  35. Zhang H, Cha EE, Lynch K, Cahlon O, Gomez DR, Shaverdian N, et al. Radiation oncologist perceptions of telemedicine from consultation to treatment planning: a mixed-methods study. Int J Radiation Oncology* Biology* Phys. 2020;108:421–9.

    Google Scholar 

  36. Scott Kruse C, Karem P, Shifflett K, Vegi L, Ravi K, Brooks M. Evaluating barriers to adopting telemedicine worldwide: a systematic review. J Telemed Telecare. 2018;24:4–12.

    PubMed  Google Scholar 

  37. Samuels-Kalow M, Jaffe T, Zachrison K. Digital disparities: designing telemedicine systems with a health equity aim. Emerg Med J. 2021;38:474–6.

    PubMed  Google Scholar 

  38. Cantor JH, McBain RK, Pera MF, Bravata DM, Whaley CM. Who is (and is not) receiving telemedicine care during the COVID-19 pandemic. Am J Prev Med. 2021;61:434–8.

    PubMed  PubMed Central  Google Scholar 

  39. Van Dijk JAGM. Digital divide research, achievements and shortcomings. Poetics. 2006;34:221–35.

    Google Scholar 

  40. Ortega G, Rodriguez JA, Maurer LR, Witt EE, Perez N, Reich A, et al. Telemedicine, COVID-19, and disparities: policy implications. Health Policy Technol. 2020;9:368–71.

    PubMed  PubMed Central  Google Scholar 

  41. Wijesooriya NR, Mishra V, Brand PLP, Rubin BK. COVID-19 and telehealth, education, and research adaptations. Paediatr Respir Rev. 2020;35:38–42.

    PubMed  PubMed Central  Google Scholar 

  42. Nouri S, Khoong EC, Lyles CR, Karliner L. Addressing equity in telemedicine for chronic disease management during the Covid-19 pandemic. NEJM Catal Innov Care Deliv. 2020;1.

  43. Crawford A, Serhal E. Digital health equity and COVID-19: the innovation curve cannot reinforce the social gradient of health. J Med Internet Res. 2020;22:e19361.

    PubMed  PubMed Central  Google Scholar 

  44. Fujioka JK, Budhwani S, Thomas-Jacques T, De Vera K, Challa P, Fuller K, et al. Challenges and strategies for promoting health equity in virtual care: protocol for a scoping review of reviews. JMIR Res Protoc. 2020;9:e22847.

    PubMed  PubMed Central  Google Scholar 

  45. Hassan A, Mari Z, Gatto EM, Cardozo A, Youn J, Okubadejo N, et al. Global survey on telemedicine utilization for movement disorders during the COVID-19 pandemic. Mov Disord. 2020;35:1701–11.

    CAS  PubMed  PubMed Central  Google Scholar 

  46. He W, Zhang ZJ, Li W. Information technology solutions, challenges, and suggestions for tackling the COVID-19 pandemic. Int J Inf Manage. 2021;57:102287.

    PubMed  Google Scholar 

  47. Robbins J, Garman AN, Song PH, McAlearney AS. How high-performance work systems drive health care value: an examination of leading process improvement strategies. Qual Manage Healthc. 2012;21:188–202.

    Google Scholar 

  48. Ayouni I, Maatoug J, Dhouib W, Zammit N, Fredj S, Ben, Ghammam R, et al. Effective public health measures to mitigate the spread of COVID-19: a systematic review. BMC Public Health. 2021;21:1–14.

    Google Scholar 

  49. Mehrotra A, Bhatia RS, Snoswell CL. Paying for telemedicine after the pandemic. JAMA. 2021;325:431–2.

    PubMed  PubMed Central  Google Scholar 

  50. Jang S, Ko H, Chung Y, Woo C. Does openness enable or hinder innovation performance? The moderating effect of appropriability mechanisms. Technol Anal Strateg Manag. 2021;:1–14.

  51. Figueroa LM. Telehealth in Colombia, challenges associated with COVID-19. Biomédica. 2020;40:77–9.

    PubMed  PubMed Central  Google Scholar 

  52. Peek N, Sujan M, Scott P. Digital health and care in pandemic times: impact of COVID-19. BMJ Health Care Inform. 2020;27.

  53. Ministero della Salute. Indicazioni Nazionali per l’erogazione di prestazioni in telemedicina. http://www.statoregioni.it/media/3221/p-3-csr-rep-n-215-17dic2020.pdf. Accessed 20 Nov 2022.

  54. Nelson SE, Steuernagle J, Rotello L, Nyquist P, Suarez JI, Ziai W. COVID-19 and telehealth in the intensive care unit setting: a survey. BMC Health Serv Res. 2022;22:1–6.

    Google Scholar 

  55. Jnr BA. Use of telemedicine and virtual care for remote treatment in response to COVID-19 pandemic. J Med Syst. 2020;44:1–9.

    Google Scholar 

  56. Mann DM, Chen J, Chunara R, Testa PA, Nov O. COVID-19 transforms health care through telemedicine: evidence from the field. J Am Med Inform Assoc. 2020;27:1132–5.

    PubMed  PubMed Central  Google Scholar 

  57. Gilson SF, Umscheid CA, Laiteerapong N, Ossey G, Nunes KJ, Shah SD. Growth of ambulatory virtual visits and differential use by patient sociodemographics at one urban academic medical center during the COVID-19 pandemic: retrospective analysis. JMIR Med Inform. 2020;8:e24544.

    PubMed  PubMed Central  Google Scholar 

  58. Breton M, Sullivan EE, Deville-Stoetzel N, McKinstry D, DePuccio M, Sriharan A, et al. Telehealth challenges during COVID-19 as reported by primary healthcare physicians in Quebec and Massachusetts. BMC Fam Pract. 2021;22:1–13.

    Google Scholar 

  59. Lurie N, Carr BG. The role of telehealth in the medical response to disasters. JAMA Intern Med. 2018;178:745–6.

    PubMed  Google Scholar 

  60. Riew GJ, Lovecchio F, Samartzis D, Bernstein DN, Underwood EY, Louie PK, et al. Spine surgeon perceptions of the challenges and benefits of telemedicine: an international study. Eur Spine J. 2021;30:2124–32.

    PubMed  Google Scholar 

  61. Giani E, Dovc K, Dos Santos TJ, Chobot A, Braune K, Cardona-Hernandez R, et al. Telemedicine and COVID‐19 pandemic: the perfect storm to mark a change in diabetes care. Results from a world‐wide cross‐sectional web‐based survey. Pediatr Diabetes. 2021;22:1115–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  62. Wilhite JA, Altshuler L, Fisher H, Gillespie C, Hanley K, Goldberg E, et al. The telemedicine takeover: Lessons learned during an emerging pandemic. Telemedicine and e-Health. 2022;28:353–61.

    PubMed  Google Scholar 

  63. Alkureishi MA, Choo Z-Y, Lenti G, Castaneda J, Zhu M, Nunes K, et al. Clinician perspectives on telemedicine: observational cross-sectional study. JMIR Hum Factors. 2021;8:e29690.

    PubMed  PubMed Central  Google Scholar 

  64. Watt JA, Fahim C, Straus SE, Goodarzi Z. Barriers and facilitators to virtual care in a geriatric medicine clinic: a semi-structured interview study of patient, caregiver and healthcare provider perspectives. Age Ageing. 2022;51:afab218.

    PubMed  Google Scholar 

  65. Jung OS, Graetz I, Dorner SC, Hayden EM. Implementing a COVID-19 virtual Observation Unit in Emergency Medicine: Frontline Clinician and Staff Experiences. Med Care Res Rev. 2022;:10775587221108750.

  66. Associazione italiana Ingegeneri gestionali in sanita’. https://www.linkedin.com/company/associazione-italiana-ingegneri-gestionali-in-sanità-in-ge-san/mycompany/.

  67. Forza C. Survey research in operations management: a process-based perspective. Int J Oper Prod Manage. 2002.

  68. Karlsson C. Researching operations management. Researching operations management. Routledge; 2010. 20–55.

  69. Donatini A, Rico A, D’Ambrosio MG, Lo Scalzo A, Orzella L, Cicchetti A et al. Health care systems in transition: Italy. 2001.

  70. Ariens LFM, Schussler-Raymakers FML, Frima C, Flinterman A, Hamminga E, Arents BWM, et al. Barriers and facilitators to eHealth use in daily practice: perspectives of patients and professionals in dermatology. J Med Internet Res. 2017;19:e7512.

    Google Scholar 

  71. Jacob C, Sanchez-Vazquez A, Ivory C. Social, organizational, and technological factors impacting clinicians’ adoption of mobile health tools: systematic literature review. JMIR Mhealth Uhealth. 2020;8:e15935.

    PubMed  PubMed Central  Google Scholar 

  72. Holtz BE. Patients perceptions of telemedicine visits before and after the coronavirus disease 2019 pandemic. Telemedicine and e-Health. 2021;27:107–12.

    PubMed  Google Scholar 

  73. Driessen J, Castle NG, Handler SM. Perceived benefits, barriers, and drivers of telemedicine from the perspective of skilled nursing facility administrative staff stakeholders. J Appl Gerontol. 2018;37:110–20.

    PubMed  Google Scholar 

  74. Greenhalgh T, Wherton J, Papoutsi C, Lynch J, Court CA, Uk F, et al. Beyond adoption: a New Framework for Theorizing and evaluating nonadoption, abandonment, and Challenges to the Scale-Up, Spread, and sustainability of Health and Care Technologies corresponding author. J Med Internet Res. 2017;19:e367.

    PubMed  PubMed Central  Google Scholar 

  75. Taherdoost H. Validity and reliability of the research instrument; how to test the validation of a questionnaire/survey in a research. How to test the validation of a questionnaire/survey in a research (August 10, 2016). 2016.

  76. Hardesty DM, Bearden WO. The use of expert judges in scale development: implications for improving face validity of measures of unobservable constructs. J Bus Res. 2004;57:98–107.

    Google Scholar 

  77. Lawshe CH. A quantitative approach to content validity. Pers Psychol. 1975;28:563–75.

    Google Scholar 

  78. Slot-Heijs JJ, Collard DCM, Pettigrew S, Vinck J, Edell D, Barriguete A, et al. The training and support needs of 22 programme directors of community-based childhood obesity interventions based on the EPODE approach: an online survey across programmes in 18 countries. BMC Health Serv Res. 2020;20:1–8.

    Google Scholar 

  79. Ziehm J, Farin E, Schäfer J, Woitha K, Becker G, Köberich S. Palliative care for patients with heart failure: facilitators and barriers - a cross sectional survey of german health care professionals. BMC Health Serv Res. 2016;16:1–10.

    Google Scholar 

  80. Agboola SA, Coleman TJ, Leonardi-Bee JA, McEwen A, McNeill AD. Provision of relapse prevention interventions in UK NHS stop Smoking Services: a survey. BMC Health Serv Res. 2010;10:1–5.

    Google Scholar 

  81. To T, McLimont S, Wang C, Cicutto L. How much do health care providers value a community-based asthma care program?–a survey to collect their opinions on the utilities of and barriers to its uptake. BMC Health Serv Res. 2009;9:1–8.

    Google Scholar 

  82. Cannavacciuolo L, Capaldo G, Ponsiglione C. Digital innovation and organizational changes in the healthcare sector: multiple case studies of telemedicine project implementation. Technovation. 2023;120.

  83. Ministero della Salute. La mappatura nazionale. https://www.salute.gov.it/portale/ehealth/dettaglioContenutiEHealth.jsp?lingua=italiano&id=2515&area=eHealth&menu=telemedicina. Accessed 6 Sep 2023.

  84. Ministero della Salute. MAPPATURA DELLE ESPERIENZE DI TELEMEDICINA SUL TERRITORIO NELL’ANNO. 2018. Accessed 6 Sep 2023.

  85. ALTEMS. L’iniziativa degli Instant Report Covid-19 di ALTEMS. https://altems.unicatt.it/altems-covid-19. Accessed 6 Sep 2023.

  86. Danne T, Limbert C. COVID-19, type 1 diabetes, and technology: why paediatric patients are leading the way. Lancet Diabetes Endocrinol. 2020;8:465–7.

    CAS  PubMed Central  Google Scholar 

  87. McMahon M, Nadigel J, Thompson E, Glazier RH. Informing Canada’s health system response to COVID-19: priorities for health services and policy research. Healthc Policy. 2020;16:112.

    PubMed  PubMed Central  Google Scholar 

  88. Remuzzi A, Remuzzi G. COVID-19 and Italy: what next? The Lancet. 2020;395:1225–8.

    CAS  Google Scholar 

  89. Di Carlo F, Sociali A, Picutti E, Pettorruso M, Vellante F, Verrastro V et al. Telepsychiatry and other cutting-edge technologies in COVID‐19 pandemic: bridging the distance in mental health assistance. Int J Clin Pract. 2021;75.

  90. Scalvini S, Vitacca M, Paletta L, Giordano A, Balbi B. Telemedicine: a new frontier for effective healthcare services. Monaldi Arch Chest Dis. 2004;61.

  91. Perrone G, Zerbo S, Bilotta C, Malta G, Argo A. Telemedicine during Covid-19 pandemic: advantage or critical issue? Med Leg J. 2020;88:76–7.

    PubMed  Google Scholar 

  92. Almuslim H, AlDossary S. Models of incorporating telehealth into obstetric care during the COVID-19 pandemic, its benefits and barriers: a scoping review. Telemedicine and e-Health. 2022;28:24–38.

    PubMed  Google Scholar 

  93. Betancourt JA, Rosenberg MA, Zevallos A, Brown JR, Mileski M. In: Healthcare, editor. The impact of COVID-19 on telemedicine utilization across multiple service lines in the United States. MDPI; 2020. p. 380.

  94. Lieneck C, Garvey J, Collins C, Graham D, Loving C, Pearson R. In: Healthcare, editor. Rapid telehealth implementation during the COVID-19 global pandemic: a rapid review. MDPI; 2020. p. 517.

  95. Anthony Jnr B. Implications of telehealth and digital care solutions during COVID-19 pandemic: a qualitative literature review. Inf Health Soc Care. 2021;46:68–83.

    Google Scholar 

  96. de Oliveira Andrade A, Soares AB, de Andrade Palis A, Cabral AM, Barreto CGL, de Souza DB, et al. On the use of telemedicine in the context of COVID-19: legal aspects and a systematic review of technology. Res Biomedical Eng. 2022;38:209–27.

    Google Scholar 

  97. Jonnagaddala J, Godinho MA, Liaw S-T. From telehealth to virtual primary care in Australia? A rapid scoping review. Int J Med Inform. 2021;151:104470.

    PubMed  PubMed Central  Google Scholar 

  98. Lieneck C, Weaver E, Maryon T. Outpatient telehealth implementation in the United States during the COVID-19 global pandemic: a systematic review. Med (B Aires). 2021;57:462.

    Google Scholar 

  99. da Silva HEC, Santos GNM, Leite AF, Mesquita CRM, de Souza Figueiredo PT, Dos Reis PED, et al. The role of teledentistry in oral cancer patients during the COVID-19 pandemic: an integrative literature review. Support Care Cancer. 2021;29:7209–23.

    PubMed  PubMed Central  Google Scholar 

  100. Phillip M, Bergenstal RM, Close KL, Danne T, Garg SK, Heinemann L, et al. The digital/virtual diabetes clinic: the future is now—recommendations from an international panel on diabetes digital technologies introduction. Diabetes Technol Ther. 2021;23:146–54.

    PubMed  PubMed Central  Google Scholar 

  101. Giambelluca A. Telemedicine in Italy: an overview on laws and guidelines. TeleMedicine Int. 2023;1.

  102. Gajarawala SN, Pelkowski JN. Telehealth benefits and barriers. J Nurse Practitioners. 2021;17:218–21.

    Google Scholar 

  103. Tornese G, Schiaffini R, Mozzillo E, Franceschi R, Frongia AP, Scaramuzza A, et al. Telemedicine in the time of the COVID-19 pandemic: results from the first survey among italian pediatric diabetes centers. In: Healthcare. MDPI; 2021. p. 815.

  104. Alonso SG, Marques G, Barrachina I, Garcia-Zapirain B, Arambarri J, Salvador JC, et al. Telemedicine and e-Health research solutions in literature for combatting COVID-19: a systematic review. Health Technol (Berl). 2021;11:257–66.

    PubMed  Google Scholar 

  105. Collins L, Khasriya R, Malone-Lee J. An evidence-based perspective on lower urinary tract symptoms and telemedicine during the COVID-19 pandemic. Health Technol (Berl). 2021;11:1119–24.

    PubMed  Google Scholar 

  106. Malandraki GA, Arkenberg RH, Mitchell SS, Malandraki JB. Telehealth for dysphagia across the life span: using contemporary evidence and expertise to guide clinical practice during and after COVID-19. Am J Speech Lang Pathol. 2021;30:532–50.

    PubMed  PubMed Central  Google Scholar 

  107. Li H, Glecia A, Kent-Wilkinson A, Leidl D, Kleib M, Risling T. Transition of mental health service delivery to telepsychiatry in response to COVID-19: a literature review. Psychiatr Q. 2021;:1–17.

  108. De Rosis S, Barsanti S. Patient satisfaction, e-health and the evolution of the patient–general practitioner relationship: evidence from an italian survey. Health Policy (New York). 2016;120:1279–92.

    Google Scholar 

  109. Ministero della Salute. Indicazioni nazionali per l’erogazione di prestazioni e servizi di teleriabilitazione da parte delle professioni sanitarie. 2021.

  110. DECRETO-LEGGE 17 marzo. 2020, n. 18 Misure di potenziamento del Servizio sanitario nazionale e di sostegno economico per famiglie, lavoratori e imprese connesse all’emergenza epidemiologica da COVID-19. (20G00034) (GU Serie Generale n.70 del 17-03-2020).

  111. Borghi G, Luzzi L. Agenda Digitale. Telemedicina, attuare le norme nazionali sul territiorio: problemi ed esempi di cambiamento.

  112. European, Union. NextGenerationEU.

  113. Makhni MC, Riew GJ, Sumathipala MG. Telemedicine in orthopaedic surgery: challenges and opportunities. JBJS. 2020;102:1109–15.

    Google Scholar 

  114. Eichberg DG, Basil GW, Di L, Shah AH, Luther EM, Lu VM, et al. Telemedicine in neurosurgery: lessons learned from a systematic review of the literature for the COVID-19 era and beyond. Neurosurgery. 2021;88:E1–12.

    Google Scholar 

  115. Atanda A Jr, Pelton M, Fabricant PD, Tucker A, Shah SA, Slamon N. Telemedicine utilisation in a paediatric sports medicine practice: decreased cost and wait times with increased satisfaction. J ISAKOS. 2018;3:94–7.

    Google Scholar 

  116. Sinha N, Cornell M, Wheatley B, Munley N, Seeley M. Looking through a different lens: patient satisfaction with telemedicine in delivering pediatric fracture care. Volume 3. JAAOS Global Research & Reviews; 2019.

  117. Hincapié MA, Gallego JC, Gempeler A, Piñeros JA, Nasner D, Escobar MF. Implementation and usefulness of telemedicine during the COVID-19 pandemic: a scoping review. J Prim Care Community Health. 2020;11:2150132720980612.

    PubMed  PubMed Central  Google Scholar 

  118. Aashima NM, Sharma R. A review of patient satisfaction and experience with telemedicine: a virtual solution during and beyond COVID-19 pandemic. Telemedicine and e-Health. 2021;27:1325–31.

    Google Scholar 

  119. Ostrowska PM, Śliwiński M, Studnicki R, Hansdorfer-Korzon R. In: Healthcare, editor. Telerehabilitation of post-stroke patients as a therapeutic solution in the era of the covid-19 pandemic. MDPI; 2021. p. 654.

  120. Siegel A, Zuo Y, Moghaddamcharkari N, McIntyre RS, Rosenblat JD. Barriers, benefits and interventions for improving the delivery of telemental health services during the coronavirus disease 2019 pandemic: a systematic review. Curr Opin Psychiatry. 2021;34:434.

    PubMed  PubMed Central  Google Scholar 

  121. Silva AB, Sindico SRF, Carneiro AC, Henrique SM, Fernandes AG, Gomes JP, et al. COVID-19 remote consultation services and population in health inequity-concentrating territories: a scoping review. Telemedicine and e-Health. 2021;27:881–97.

    PubMed  PubMed Central  Google Scholar 

  122. Doraiswamy S, Jithesh A, Mamtani R, Abraham A, Cheema S. Telehealth use in geriatrics care during the COVID-19 pandemic—a scoping review and evidence synthesis. Int J Environ Res Public Health. 2021;18:1755.

    PubMed  PubMed Central  Google Scholar 

  123. Kantorová L, Kantor J, Hořejší B, Gilboa A, Svobodová Z, Lipský M, et al. Adaptation of music therapists’ practice to the outset of the COVID-19 pandemic—going virtual: a scoping review. Int J Environ Res Public Health. 2021;18:5138.

    PubMed  PubMed Central  Google Scholar 

  124. Boccia S, Ricciardi W, Ioannidis JPA. What other countries can learn from Italy during the COVID-19 pandemic. JAMA Intern Med. 2020;180:927–8.

    CAS  PubMed  Google Scholar 

  125. Combi C, Pozzani G, Pozzi G. Telemedicine for developing countries. Appl Clin Inform. 2016;7:1025–50.

    PubMed  PubMed Central  Google Scholar 

  126. Gregg A, Tutek J, Leatherwood MD, Crawford W, Friend R, Crowther M, et al. Systematic review of community paramedicine and EMS mobile integrated health care interventions in the United States. Popul Health Manag. 2019;22:213–22.

    PubMed  Google Scholar 

  127. Bains J, Greenwald PW, Mulcare MR, Leyden D, Kim J, Shemesh AJ, et al. Utilizing telemedicine in a novel approach to COVID-19 management and patient experience in the emergency department. Telemedicine and e-Health. 2021;27:254–60.

    PubMed  Google Scholar 

  128. Murphy RP, Dennehy KA, Costello MM, Murphy EP, Judge CS, O’Donnell MJ, et al. Virtual geriatric clinics and the COVID-19 catalyst: a rapid review. Age Ageing. 2020;49:907–14.

    PubMed  Google Scholar 

  129. Catic AG, Mattison MLP, Bakaev I, Morgan M, Monti SM, Lipsitz L. ECHO-AGE: an innovative model of geriatric care for long-term care residents with dementia and behavioral issues. J Am Med Dir Assoc. 2014;15:938–42.

    PubMed  Google Scholar 

  130. Frielitz F-S, Dördelmann J, Lemke S, Lange K, Hiort O, Katalinic A, et al. Assessing the benefits and challenges of video consultations for the treatment of children with type 1 diabetes–A qualitative study among diabetes professionals. Exp Clin Endocrinol Diabetes. 2021;129:831–6.

    CAS  PubMed  Google Scholar 

  131. Shaw J, Brewer LC, Veinot T. Recommendations for health equity and virtual care arising from the COVID-19 pandemic: narrative review. JMIR Form Res. 2021;5:e23233.

    PubMed  PubMed Central  Google Scholar 

  132. Khoshrounejad F, Hamednia M, Mehrjerd A, Pichaghsaz S, Jamalirad H, Sargolzaei M et al. Telehealth-based services during the COVID-19 pandemic: a systematic review of features and challenges. Front Public Health. 2021;:977.

  133. Mair FS, May C, O’Donnell C, Finch T, Sullivan F, Murray E. Factors that promote or inhibit the implementation of e-health systems: an explanatory systematic review. Bull World Health Organ. 2012;90:357–64.

    PubMed  PubMed Central  Google Scholar 

  134. Spanò R, Massaro M, Iacuzzi S. Blockchain for value creation in the healthcare sector. Technovation. 2021; December:102440.

  135. Donnelly C, Ashcroft R, Bobbette N, Mills C, Mofina A, Tran T, et al. Interprofessional primary care during COVID-19: a survey of the provider perspective. BMC Fam Pract. 2021;22:1–12.

    Google Scholar 

  136. Lee JM, Carlson E, Albanese-O’Neill A, Demeterco-Berggren C, Corathers SD, Vendrame F, et al. Adoption of telemedicine for type 1 diabetes care during the COVID-19 pandemic. Diabetes Technol Ther. 2021;23:642–51.

    CAS  PubMed  PubMed Central  Google Scholar 

  137. Iyer S, Shafi K, Lovecchio F, Turner R, Albert TJ, Kim HJ, et al. The spine physical examination using telemedicine: strategies and best practices. Global Spine J. 2022;12:8–14.

    PubMed  Google Scholar 

  138. Satin AM, Lieberman IH. The virtual spine examination: telemedicine in the era of COVID-19 and beyond. Global Spine J. 2021;11:966–74.

    PubMed  Google Scholar 

  139. Scott SN, Fontana FY, Züger T, Laimer M, Stettler C. Use and perception of telemedicine in people with type 1 diabetes during the COVID-19 pandemic—results of a global survey. Endocrinol Diabetes Metab. 2021;4:e00180.

    CAS  PubMed  Google Scholar 

  140. Bitar H, Alismail S. The role of eHealth, telehealth, and telemedicine for chronic disease patients during COVID-19 pandemic: a rapid systematic review. Digit Health. 2021;7:20552076211009396.

    PubMed  PubMed Central  Google Scholar 

  141. Runfola M, Fantola G, Pintus S, Iafrancesco M, Moroni R. Telemedicine implementation on a bariatric outpatient clinic during COVID-19 pandemic in Italy: an unexpected hill-start. Obes Surg. 2020;30:5145–9.

    PubMed  PubMed Central  Google Scholar 

  142. Negrini S, Donzelli S, Negrini A, Negrini A, Romano M, Zaina F. Feasibility and acceptability of telemedicine to substitute outpatient rehabilitation services in the COVID-19 emergency in Italy: an observational everyday clinical-life study. Arch Phys Med Rehabil. 2020;101:2027–32.

    PubMed  PubMed Central  Google Scholar 

  143. Arighi A, Fumagalli GG, Carandini T, Pietroboni AM, De Riz MA, Galimberti D, et al. Facing the digital divide into a dementia clinic during COVID-19 pandemic: caregiver age matters. Neurol Sci. 2021;42:1247–51.

    PubMed  PubMed Central  Google Scholar 

  144. Ricci G, Caraffa AM, Gibelli F. In: Healthcare, editor. Telemedicine as a Strategic Tool to enhance the effectiveness of care processes: Technological and Regulatory Evolution over the past two decades. MDPI; 2023. p. 734.

  145. Zuccotti G, Calcaterra V, Foppiani A. Present and future of telemedicine for pediatric care: an italian regional experience. Ital J Pediatr. 2023;49:1–4.

    Google Scholar 

  146. Uscher-Pines L, Mehrotra A. Analysis of teladoc use seems to indicate expanded access to care for patients without prior connection to a provider. Health Aff. 2014;33:258–64.

    Google Scholar 

  147. Imlach F, McKinlay E, Middleton L, Kennedy J, Pledger M, Russell L, et al. Telehealth consultations in general practice during a pandemic lockdown: survey and interviews on patient experiences and preferences. BMC Fam Pract. 2020;21:1–14.

    Google Scholar 

  148. Watt JA, Lane NE, Veroniki AA, Vyas MV, Williams C, Ramkissoon N, et al. Diagnostic accuracy of virtual cognitive assessment and testing: systematic review and meta-analysis. J Am Geriatr Soc. 2021;69:1429–40.

    PubMed  Google Scholar 

  149. Edmondson AC, Bohmer RM, Pisano GP. Disrupted routines: Team learning and new technology implementation in hospitals. Adm Sci Q. 2001;46:685–716.

    Google Scholar 

  150. Gittell JH, Seidner R, Wimbush J. A relational model of how high-performance work systems work. Organ Sci. 2010;21:490–506.

    Google Scholar 

  151. Pine KH, Mazmanian M. Artful and contorted coordinating: the ramifications of imposing formal logics of task jurisdiction on situated practice. Acad Manag J. 2017;60:720–42.

    Google Scholar 

  152. Raj M, Wilk AS, Platt JE. Dynamics of physicians’ trust in fellow health care providers and the role of health information technology. Med Care Res Rev. 2021;78:338–49.

    PubMed  Google Scholar 

  153. Ministero della Salute. AGENAS. Avviso per la piattaforma nazionale di telemedicina.

  154. Digitale Aper. l’Italia. Fascicolo Sanitario Elettronico. Linee Guida, manuali, documenti tecnici.

  155. Gazzetta ufficiale serie generale. n.256 del 2 novembre 2022. Linee guida per i servizi di telemedicina– requisiti funzionali e livelli di servizio.

  156. Orsolini L, Bellagamba S, Marchetti V, Menculini G, Tempia Valenta S, Salvi V, et al. A preliminary italian cross-sectional study on the level of digital psychiatry training, knowledge, beliefs and experiences among medical students, psychiatry trainees and professionals. In: Healthcare. MDPI; 2022. p. 390.

  157. Tanaka MJ, Oh LS, Martin SD, Berkson EM. Telemedicine in the era of COVID-19: the virtual orthopaedic examination. J Bone Joint Surg Am. 2020.

  158. Eble SK, Hansen OB, Ellis SJ, Drakos MC. The virtual foot and ankle physical examination. Foot Ankle Int. 2020;41:1017–26.

    PubMed  Google Scholar 

  159. Lam K, Lu AD, Shi Y, Covinsky KE. Assessing telemedicine unreadiness among older adults in the United States during the COVID-19 pandemic. JAMA Intern Med. 2020;180:1389–91.

    CAS  PubMed  PubMed Central  Google Scholar 

  160. Shah SD, Alkureishi L, Lee WW. Low-tech but high-value: don’t stop reimbursing phone-only telehealth visits. Stat. 2021;:5–27.

  161. Griffith LE, Cook DJ, Guyatt GH, Charles CA. Comparison of open and closed questionnaire formats in obtaining demographic information from canadian general internists. J Clin Epidemiol. 1999;52:997–1005.

    CAS  PubMed  Google Scholar 

  162. Krosnick JA. Survey research. Annu Rev Psychol. 1999;50:537–67.

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to thank the Italian Association of Management Engineers in Healthcare (IN.GE.SAN.) for the support provided to this project.

Funding

This report is independent research supported by the National Institute for Health and Care Research Applied Research Collaboration Northwest London. The views expressed in this publication are those of the authors and not necessarily those of the National Institute for Health Research or the Department of Health and Social Care.

Author information

Authors and Affiliations

Authors

Contributions

GA conceived the study, wrote the first draft of the manuscript and coordinated the team. All authors (GA, EB, SB, LC, EF, GF, EG, CP, AS) jointly contributed to the study design and development of the questionnaire. EG, GF, and SB collected data. All authors contributed to the data analysis, conceptualization and interpretation of findings. All authors provided editorial and intellectual input, contributed to subsequent revisions and approved the final manuscript.

Corresponding author

Correspondence to Grazia Antonacci.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

According to Italian legislation, this project did not require formal ethical approval because it collected general opinions that do not include clinical data and neither personal data. Ethics approvals in Italy are regulated by the Regulation of the Ethics Committee of the Higher Institute of Health (Istituto Superiore di Sanità, Rome 12th May 2015). This Regulation stipulates that projects with epidemiological, medico-social and evaluative contents need evaluation, approval and monitoring of trial protocols only if they contain personal data according to the Italian legislative decrees on clinical trials and function of the ethics committees (decreto legislativo 24 giugno 2003, n.211, “attuazione della Direttiva 2001/20/CE”; decreto ministeriale 8 febbraio 2013). The official definition of “personal data” is specified by the National Data Protection Authority (Garante per la Protezione dei Dati Personali, https://www.garanteprivacy.it/home/diritti/cosa-intendiamo-per-dati-personali– Regolamento (UE) 2016/679 art.9). According to this Regulation, the term “personal data” applies to data containing information about first and last name, images, tax code, IP address and license plate number. None of this information was collected in this study. The platform on which the anonymous questionnaire was completed does not allow us to trace the IP address of the person who connected to the survey. The data collected were absolutely anonymous, and tracing the identity of the survey participants was not possible. Moreover, this study did not involve patients and clinical data. Informed consent was obtained from all subjects and/or their legal guardian(s). Consent information was included in the invitation and reminder emails. Participation was entirely voluntary, and consent was implied by responding to the survey. Data were anonymised and treated with the utmost confidentiality in accordance with applicable Italian data protection laws. All methods were carried out in accordance with relevant guidelines and regulations.

Consent for publication

Not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Antonacci, G., Benevento, E., Bonavitacola, S. et al. Healthcare professional and manager perceptions on drivers, benefits, and challenges of telemedicine: results from a cross-sectional survey in the Italian NHS. BMC Health Serv Res 23, 1115 (2023). https://doi.org/10.1186/s12913-023-10100-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12913-023-10100-x

Keywords