Skip to main content

The barriers and facilitators influencing the sustainability of hospital-based interventions: a systematic review

Abstract

Background

Identifying factors that influence sustained implementation of hospital-based interventions is key to ensuring evidence-based best practice is maintained across the NHS. This study aimed to identify, appraise and synthesise the barriers and facilitators that influenced the delivery of sustained healthcare interventions in a hospital-based setting.

Methods

A systematic review reported in accordance with PRISMA. Eight electronic databases were reviewed in addition to a hand search of Implementation Science journal and reference lists of included articles. Two reviewers were used to screen potential abstracts and full text papers against a selection criteria. Study quality was also independently assessed by two reviewers. Barriers and facilitators were extracted and mapped to a consolidated sustainability framework.

Results

Our searching identified 154,757 records. We screened 14,626 abstracts and retrieved 431 full text papers, of which 32 studies met the selection criteria. The majority of studies employed a qualitative design (23/32) and were conducted in the UK (8/32) and the USA (8/32). Interventions or programmes were all multicomponent, with the majority aimed at improving the quality of patient care and/ or safety (22/32). Sustainability was inconsistently reported across 30 studies. Barriers and facilitators were reported in all studies. The key facilitators included a clear accountability of roles and responsibilities (23/32); ensuring the availability of strong leadership and champions advocating the use of the intervention (22/32), and provision of adequate support available at an organisational level (21/32). The most frequently reported barrier to sustainability was inadequate staff resourcing (15/32). Our review also identified the importance of inwards spread and development of the initiative over time, as well as the unpredictability of sustainability and the need for multifaceted approaches.

Conclusions

This review has important implications for practice and research as it increases understanding of the factors that faciliate and hinder intervention sustainability. It also highlights the need for more consistent and complete reporting of sustainability to ensure that lessons learned can be of direct benefit to future implementation of interventions.

Trial registration

The review is registered on PROSPERO (CRD42017081992).

Peer Review reports

Background

Hospitals are challenging and complex environments that have been the focus for a series of implementation projects in recent years [1]. However, even when successfully implemented, interventions frequently stop being delivered after the initial funding has ceased [2]. Despite calls in the literature for guidance on sustaining interventions [3] such research remains sporadic [4]. This lack of guidance means that the NHS may make significant investment in evidence based interventions only to find that their delivery drifts and/or ceases over time to the detriment of patients. Sustaining effective interventions in practice is essential to improve health outcomes, reduce research waste, and build practitioners’ confidence in the value of adopting new interventions. However, methodological issues including a lack of agreed terminology and access to long-term data continue to hamper research in this field [5]. A universal definition of sustainablity is still lacking. Different studies have described it as maintenance, continued use, institutionalised, routine use, durability and achieving stability [4, 6, 7]. In this review, we are guided by the recent work of Moore and colleagues (2017) [8] which defines five key constructs to help define sustainability (as discussed later in the paper). At a rudimentary level, we define sustainability as being the enduring implementation of an intervention after its initial roll-out in practice.

Understanding factors that lead to sustained implementation in hospital settings is therefore of considerable research and practice benefit. Structured approaches using theories, models and frameworks to identify factors that influence implementation outcomes can provide an understanding of why implementation can succeed or fail [9]. Multiple systematic reviews have been conducted to identify such influencers [1, 10, 11]. Geerligs et al. [1], for example, included 43 papers investigating staff experience of implementation of patient-focused interventions in hospitals. They extracted barriers and facilitators and organised them into 12 categories making three key and dynamically interacting domains for implementation: the system, staff, and intervention. However, less attention has been given to promoting intervention sustainability after initial roll-out in practice, and most studies have focused on community and public health settings rather than hospitals [12]. Agreed sustainability research priorities include testing frameworks for their empirical utility, and understanding the relationship between sustainability and context [5]; as with the process of implementation, the inherently dynamic nature of sustainability [13] makes this work important but methodologically challenging.

Collectively, previous studies have identified the need to explore the application of sustainability frameworks, and address the gap in knowledge relating to intervention sustainability in hospitals [12]. Sustainability frameworks are structures that seek to define factors that influence implementation outcomes. They are useful in providing a theoretical underpinning to sustaining interventions such that success or failure of an intervention can be explained and better strategies for future studies can be adopted. Although theoretical frameworks have been used to understand some aspects of implementation, there has been less attention given to issues of intervention sustainability [13, 14].

In this paper, we present our findings from a systematic review of empirical studies, where theoretical frameworks were used to address sustainability of hospital-based interventions.

Methods

Study design

We conducted a systematic review using well established Cochrane methodology [15] to identify the barriers and facilitators that influence the delivery of sustained healthcare interventions in a hospital-based setting. This review followed the decisions and procedures that were prespecified in advance, and published in detail in our study protocol [16, 17]. Data was reported using the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) statement [18] (see Additional file 15) and the protocol developed using the PRISMA protocol checklist (PRISMA-P) [19]. The review is registered on PROSPERO (CRD42017081992).

Information sources and search strategy

We employed a four-step approach to the development of the search strategies including the identification of search strategies from previous reviews of sustainability [3, 4, 6, 7, 20,21,22,23]; team consensus on which terms to use as part of the search strategy; identification of relevant search strategies published in high quality peer-reviewed systematic reviews; combining of key terms and different MEdical Subject Headings (MESH) and piloting and refining the search using MEDLINE (Ovid) database before adapting the search strategy for use in other databases. Further details are reported in Cowie et al. (2018) [17].

We combined a series of free-text terms and MEdical Subject Headings (MESH) for: (a) framework (eg, frameworks, theories, models), (b) sustainability (eg, durability, long-term implementation) and (c) hospital (eg, ward, patient). Boolean operators and wild-cards were used to account for plurals and variations in spelling. The search strategy was peer-reviewed by an academic librarian in accordance with PRESS guidelines [24]. The search string used for MEDLINE (Ovid) is shown in Additional file 1.

Electronic searches

Eight electronic databases were systematically searched from January 2008 to December 2017: MEDLINE (Ovid), AMED (Ovid), CINAHL (EBSCO), Embase (Ovid) and Cochrane Library (e.g. CENTRAL, CDSR, DARE, HTA). We applied a date restriction in line with the development of Medical Research Council’s (MRC) revised complex intervention framework published in 2008 [25]. This framework provides a comprehensive structure for the development and testing of any complex interventions, and it is likely that the most relevant studies to our review would have been conducted following the framework’s development. It is also likely that interventions developed using the framework are theoretically sound and clearly defined thus allowing us to better understand and extrapolate how the frameworks are used in practice.

Other searches

We did not conduct any supplementary searches of grey literature due to resource and time constraints. However, we hand searched Implementation Science as we noted in our preliminary scoping work that a number of relevant papers had been published in this journal. Reference lists of all included articles were also searched.

Eligibility criteria

Our predefined selection criteria are summarised in Additional file 2. We included peer-reviewed empirical studies published in English which reported using some form of theoretical framework to address the sustainability of hospital-based interventions. We defined a hospital-based intervention as any intervention that is delivered within a hospital environment, is aimed at improving patient care, and that directly involves care delivery to patients or staff, but not including ambulatory care, virtual or lab-based interventions. Non-research study designs (e.g. unstructured reviews or overviews, theoretical papers, commentaries or opinion papers, protocol, case study, editorial, audit, letter) were excluded.

In the case of studies performed across multiple settings, studies were excluded where results pertaining to the hospital setting were not clearly identifiable. In addition, if the service provided was regarded as an out-patient clinic, then the study was also excluded. Studies that did not discuss a specific intervention or programme (i.e. solely reported programmes at a general systems level) or only discussed sustainability (enduring use of an intervention after initial roll-out) prospectively (i.e. an empirical study had not been carried out) were excluded. Similarly, studies were excluded where sustainability was not a specific concern of the study (i.e. it was concerned only with adoption and initial implementation of the intervention / programme) or where no reference was made to theories, frameworks or models related to sustainability .

Selection of studies

Study records were imported from the different databases into an Endnote file. Records that were published before 2008 were removed, and remaining records were de-deduplicated using a method recommended by Bramer et al. (2016) [26]. One reviewer screened all titles (PC) removing any clearly irrelevant papers. Two pairs of reviewers then independently screened any potential abstracts (JC, PC, AN, EDD). The abstracts were independently ranked as relevant, irrelevant or unsure. Studies ranked as irrelevant by both reviewers were excluded. We obtained the full papers for the remaining studies; two reviewers (JC, PC, AN, EDD) then independently assessed these against the selection criteria (Additional file 2). Disagreements were resolved initially through discussion, followed by a third independent reviewer as required. All of the review authors are highly experienced systematic reviewers.

Data extraction

We used a standardised pre-piloted form based on the TIDieR reporting guidelines which were selected as they allowed us to profile the intervention (and those delivering the intervention) in significant detail using the following headings: why, what, how, where, when and how much, tailoring, modifications and fidelity [27]. We also extracted details about the study population, participant demographics, study design and methods used; study setting and other relevant contextual information; intervention / programme aims, theoretical frameworks (including justification for the use of the framework), and details of the intervention / programme, and comparison conditions.

Data was also extracted for any evidence of sustained change (e.g. length of time that the intervention was delivered, any associations reported by the authors about intervention and sustained effectiveness), which outcomes were measured and a brief summary of key findings.

Data identified as a barrier or facilitator to the sustainability of hospital-based interventions was extracted (author, year, country, direct quotes, page numbers) verbatim and coded by one reviewer (EDD or AN), and independently checked by a second review author (PC, JC). Any ambiguity identified was resolved through discussion with other members of the review team. We define a facilitator as any factor that contributes to the sustainability of an intervention beyond the implementation period. We define a barrier as any factor that obstructs the sustained delivery of an intervention. These definitions are in line with those proposed by Bach-Mortensen et al. (2018) [28].

Data coding

Theories, models and frameworks

The terms theory, model and framework are used widely and often interchangeably. We therefore took a pragmatic decision to refer to ‘frameworks’, but used the taxonomy of theories, models and frameworks developed by Nilsen 2015 [29] to help define what theory/model/framework was employed. In addition, we drew on the typology described by Bradbury-Jones et al. 2014 [30] to assess the level of visibility of the framework used. This allowed us to better understand the role and level of influence of frameworks in trying to sustain interventions. The typology proposed by Bradbury-Jones et al. (2014) [30] defines a range of theoretical visibility which can be applied to studies to asses the level of theory evident in qualitative research. Use of theory can be defined across 5 categories ranging from highly visible and used throughout to an apparent absence of theory. The typology is defined further in Table 1.

Table 1 Table of included studies

Sustainability

A universal definition of sustainability, despite best efforts, is still lacking [8, 63, 64]. To standardise our reporting of sustained studies, the review was guided by Moore’s work (2017) [8] which created a five-construct definition of sustainability from over 200 studies. This posits that sustainability is achieved:

  1. 1.

    after a defined period of time,

  2. 2.

    when the intervention of interest continues to be delivered and / or

  3. 3.

    the intended individual behavioural change is maintained, and

  4. 4.

    both (2) and (3) may evolve or adapt

  5. 5.

    while continuing to produce beneficial outcomes.

Two reviewers (ED, EAD) mapped each included study against each construct to indicate how comprehensively sustainability was reported.

Barriers and facilitators

A single, comprehensive tool for identifying the barriers and facilitators for sustained interventions is currently lacking. However, a number of frameworks already exist which focus on or allude to sustainability [1, 12, 65, 66]. In our protocol, we had originally planned to identify barriers and facilitators in each paper then code them to all of these frameworks for comparison. However, in this paper we present findings from the data coded to the Consolidated Framework for Sustainability Constructs in Healthcare [12] as it was judged by all of the reviewers to provide the most relevant and useful insight into sustainability in hospital settings. A methodological paper comparing the advantages and disadvantages of these frameworks using these core data will be published elsewhere.

We planned to take both deductive and inductive thematic approaches to identifying barriers and facilitators. The deductive approach used a predefined list of 40 constructs from the Consolidated Framework for Sustainability Constructs in Healthcare [12], for which Lennox et al. [12] provided helpful descriptions, definitions and examples in an additional file (see Fig. 1).

Fig. 1
figure 1

Consolidated framework for sustainability constructs in healthcare

Data were initially extracted and categorised as either a barrier, facilitator or (rarely) neutral. Each was then coded according to the predefined constructs [12]. A second reviewer (JC, PC) cross-checked the data and coding. Barriers or facilitators that we could not categorise or find a best fit for using the predefined constructs were coded as ‘other’. An inductive approach was used to compare these additional data to develop additional constructs or principles important for sustainability in a hospital setting.

Methodological quality assessment of included studies

Study quality was assessed independently by two reviewers, using tools appropriate to the design of the study (i.e.) the Critical Appraisal Skills Programme [67] for qualitative studies, Mixed Methods Appraisal Tool [68] for mixed method and quantitative studies, and Standards for Quality Improving Reporting Excellence [69] for quality improvement studies. All studies, regardless of methodological quality, that met the selection criteria were included in the data synthesis.

Data synthesis

Descriptive data (i.e., year, country, professional groups involved, hospital setting and other contextual factors, theoretical frameworks, and sustainability factors) were tabulated within evidence tables. We did not plan to conduct a meta-analysis as we had anticipated that it would not be possible to pool data due to the heterogeneity between studies and outcomes. Key findings were instead brought together within a narrative synthesis.

Evidence relating to barriers and facilitators to sustainability of hospital-based interventions were brought together using a narrative synthesis supported by tables and figures organised around the six themes reported in Lennox et al. (2018) Consolidated Framework for Sustainability Constructs in Healthcare [12]. This included: (1) Initiative design and delivery (see Fig. 5, Additional file 9); (2) Negotiating initiative processes (see Fig. 6, Additional file 10); (3) The people involved (see Fig. 7, Additional file 11); (4) Resources (see Fig. 8, Additional file 12); (5) The organisational setting (Fig. 9, Additional file 13) and (6) External environment (see Fig. 10, Additional file 14).

Results

Study selection and characteristics

Our search identified 154,757 records. Figure 2 shows the flow of literature throughout the study. We screened 14,626 abstracts, retrieved 431 full text papers, of which 32 studies met the selection criteria [31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62]. The key characteristics of the included studies are summarised in Table 1.

Fig. 2
figure 2

Flowchart of records identified for relevant studies for inclusion in the review

Most of the studies were conducted in the UK (n = 8/32) [35, 36, 38, 44, 46, 49, 57, 58] or in the USA (n = 8/32) [34, 37, 43, 53, 54, 60,61,62]. Other studies were conducted in Canada (n = 6/32) [39,40,41, 45, 51, 59], Netherlands (n = 1/32) [31], Norway (n = 1/32) [48], South Africa (n = 2/32) [32, 33], and Sweden (n = 6/32) [42, 47, 50, 52, 55, 56] (Table 1).

The majority of included studies (23/32) employed a qualitative design [31, 32, 35, 36, 38,39,40,41,42, 44,45,46,47,48,49, 51, 53,54,55,56,57, 59, 60]. Seven studies employed a mixed methods design [33, 34, 43, 50, 52, 58, 61] and two studies used quality improvement methods [37, 62]. A variety of methods were used including semi-structured interviews, focus groups, observation, and surveys. Methods are detailed in Additional file 3.

Fifteen studies examined sustainability by drawing on established implementation frameworks including the Normalisation Process Theory (NPT) [36, 38, 44, 55, 56]; Consolidated Framework for Implementation Research (CFIR) [31, 46, 53, 60]; Promoting Action on Research Implementation in Health Services (PARiHS) framework [47, 50]; Reach, Effectiveness, Aim, Implementation and Maintainence (RE-AIM) framework [34]; Knowledge-to-Action Framework [61]; Greenhalgh et al’s 2005 Model of Diffusion of Health Service Innovations [58] and Quality Enhancement Research Initiative (QUERI) [45].

Seven studies drew on frameworks associated with improvement science including Stages of change [32, 33]; Model for Improvement [37, 62]; General systems engineering model [43]; Evidence in the Learning Organisation model [48] and LEAN continuous improvement principles [52].

The remaining ten studies examined sustainability either by employing a specific framework or developing one through the research approach including Gruen’s Sustainability Model [39]; Buchanan et al’s process of sustainability in context [49]; Conceptual framework for the sustainability of healthcare innovations [40, 41]; Supporting the Uptake of Nursing Guidelines (grounded theory) [51]; Realistic evaluation (context-mechanism-outcome configurations) [35, 42] and Bespoke frameworks with inductive analysis [54, 57, 59].

Three authors combined the primary framework with additional frameworks to achieve their intended aim [45, 48, 49].

Participant characteristics

Studies were conducted in a variety of hospital settings, some more generic than others. They included: acute care (n = 3/32) [44, 46, 51]; surgical care (n = 4/32) [31, 45, 48, 50]; emergency departments (n = 4/32) [34, 42, 52, 59]; inpatient units (n = 4/32) (e.g. Cystic Fibrosis [61], mental health rehabilitation [35], paediatric units [37, 62]); hospitals (e.g. general hospital wards) (n = 4/32) [38, 39, 47, 58] and across a combination of hospital settings (n = 13/32) [32, 33, 36, 40, 41, 43, 49, 53,54,55,56,57, 60] (Additional Table 4).

The majority of studies (27/32) involved a combination of participants from frontline and higher organisational levels (unit, ward, department) [31, 33, 35,36,37,38,39,40,41,42,43,44,45,46, 48, 49, 52,53,54,55,56,57,58,59,60,61,62]. The remaining five studies were aimed at individual healthcare professionals or key stakeholders [32, 34, 47, 50, 51] (Table 1).

Study quality assessment

Qualitative studies

Quality appraisal judgements for qualitative studies (n = 23/32) [31, 32, 35, 36, 38,39,40,41,42, 44,45,46,47,48,49, 51, 53,54,55,56,57, 59, 60] are presented in Additional file 5. All of the qualitative studies clearly reported 9/10 CASP criteria [31, 32, 35, 36, 38,39,40,41,42, 44,45,46,47,48,49, 51, 53,54,55,56,57, 59, 60]. However a consistent exception was the underreporting of the relationship between researcher and participants in 13/23 qualitative studies [31, 35, 36, 38, 40, 41, 48, 51, 53,54,55, 57, 59].

Mixed-methods studies

Four of the studies [34, 43, 50, 58] that employed a mixed-method design were judged to have clearly reported across all of the criteria outlined in the MMAT tool [68]. In the remaining three studies [33, 52, 61], most of the criteria were clearly reported, however two studies did not discuss the potential for researchers influence on the qualitative data [33, 52] and potential recruitment bias was identified in one study [33]. Insufficient details were also reported in these three studies on some criterion which meant that we were unable to make a judgement about whether the qualitative data analysis was relevant in Bergh (2014) [33]; or whether the response rate in Mazzacato et al. (2012) [52] was acceptable; or whether the groups were comparable in Stacey et al. (2015) [61]. Detailed quality assessments for studies employing a mixed method or quantitative design (n = 7/32) [33, 34, 43, 50, 52, 58, 61] using the MMAT tool [68] are shown in Additional file 6.

Quality improvement studies

All of the 18 items from the SQUIRE statement [69] were reported in the quality improvement studies [37, 62] (Additional file 7); however the funding statement in White et al. (2011) [62] was not specifically reported. Quality assessment for studies using a quality improvement method (n = 2/32) [37, 62] using SQUIRE [69] are presented in Additional file 7.

Interventions

Intervention components, delivery regime and key findings from each of the included studies are shown in Additional file 4. The aims of the interventions broadly fell into one of three categories: (1) to enhance the quality of patient care and/ or safety (n = 22/32 studies) [31,32,33, 35,36,37,38,39,40,41, 45,46,47, 49,50,51, 55, 57, 58, 60,61,62] (2) to improve flow of patients through the hospital by reducing waiting times, shortening the length of stay or improving discharge planning (n = 7 studies) [42, 43, 48, 52, 54, 56, 59] or (3) improving hospital processes (e.g. screening and referrals or reducing healthcare infections and improving infection control (n = 3 studies) [34, 44, 53].

All of the interventions / or programmes delivered were multicomponent, and used several different modes of delivery. A diverse range of stakeholders were frequently involved in the development and delivery of the intervention alongside a variety of frontline health care professional groups (Additional file 4). Interventions were reported as tailored to patient needs and/or local factors in 25/32 studies [31, 33, 34, 37,38,39,40,41,42, 45,46,47,48,49,50,51, 54,55,56,57,58,59,60,61,62]. Fourteen studies reported that interventions were modified, however specific details about the changes to the intervention, and when this took place, were often limited [31, 33, 34, 37, 42, 45, 48, 49, 52,53,54,55,56, 59].

Interventions that aimed to to enhance the quality of patient care and/ or safety

The majority of sustained interventions sought to improve patient care and /or safety using a variety of interventions (n = 22/32 studies) [31,32,33, 35,36,37,38,39,40,41, 45,46,47, 49,50,51, 55, 57, 58, 60,61,62].

Belizan et al. (2011) [32] introduced Health Care Professionals (HCPs) to an audit tool with a feedback system identifying where deaths had occurred to help improve perinatal care. Best practice guidelines and policies were the basis of the intervention delivered in Matthew-Maich et al. (2013) [51] to improve breastfeeding. Bergh et al. (2014) also delivered a context-appropriate, outreach Kangaroo-care intervention using training and education to improve breastfeeding and mother-infant care outcomes.

Implementation of nursing best practice guidelines for falls prevention, pressure ulcer prevention, and pain management were the basis of the intervention described in Fleiszer (2015, 2016) [40, 41]. The intervention described in Hommel et al. (2017) involved nurse coaches implementing multicomponent interventions also aimed at improving pressure ulcers in hospitals based on clinical guidelines [47]. Green et al. (2017) also sought to improve patient care and described two initiatives: a) COPD care bundle and b) diabetic foot care bundle. Parand et al. (2012) described a collaborative methdology to implement a large scale complex intervention aimed at improving patient safety by standardising care and reducing variation in practice. They used collaborative learning, improved data sharing mechanisms, and employed a “buddy” system. Campbell et al. (2011) [39] delivered a hospital based smoking cessation program which involved identifying smokers on admission, documenting smoking status, offering support to quit and following up at discharge. This was a national initiative led locally by a dedicated smoking cessation co-ordinator.

Two other studies reported interventions based on an evidence based guideline program called the Enhanced Recovery after Surgery (ERAS) care system for colonic surgery [31, 45]. These guidelines are a bundle of 22 interventions that are delivered variously before, during and after surgery. Ament (2017) [31] also reported another program called the short-stay program for breast cancer surgery, which sought to increase efficiency of breast cancer surgery care by renewing the patient information strategy, standardising the care processes, while maintaining the perceived quality of care by patients.

The intervention decribed in Naldermirci (2017) [55] focused on developing a person-centred care plan with patient and carers within 12–24 h after admission or at the first outpatient attendance. Jangland Gunningberg (2017) [50] also reported the use of a person-centred care plan to improve patient-healthcare professional communication in surgical care units. Patients were encouraged to use “tell-us” cards as a tool for documenting their concerns and listing their daily goals. The intervention described in Stacey et al. (2015) [61] involved the use of a patient decision aid to help adults living with cystic fibrosis make decisions about lung transplantation.

Robert (2011) [58] described a national quality improvement study aimed at improving nurse-patient contact time drawing on LEAN principles to reduce activities that don’t add value or making changes to the ward space. Bhanbhro et al. (2016) [35] reported an intervention called “GetREAL” which aimed to increase the confidence and skills of staff working in inpatient mental health rehabilitation units in engaging service users in activities. The intervention was supported by the use of an intervention manual, a fidelity checklist, an induction programme and training materials.

Bridges et al. (2017) [38] used a workplace educational intervention, focused on developing sustainable leadership and work-team practices (dialogue, reflective learning, mutual support, role modelling), designed to support team relational capacity and compassionate care delivery. This multicomponent intervention used regular meetings, action plans, climate analysis and values clarification; peer observations of practice; team study days; mid-shift 5 min cluster discussions; and twice weekly reflective discussions.

Ilott et al. (2016) [49] aimed to raise awareness of dysphagia as a safety issue ensuring that any staff member working with dysphagic patients has the knowledge and skills needed to support safe swallowing.. A “train-the-trainer” intervention was delivered on the ward based on input from speech and language therapists who provided 3 h training alongside teaching resources, online learning modules and a toolkit.

In White et al. (2011) an improvement team plus a quality improvement consultant and data analyst worked with ward-based nurses and doctors to improve medication reconciliation at admission for inpatient services. They described implementing a multi-component tool using electronic medication reconciliation tool, improved electronic communication processes, reminders and education tools. Medical reconciliation aimed at reducing prescribing errors was also a key part of the intervention in Sanchez (2014) [60] and involved three steps: verification, clarification and documenting any changes. Brady (2014) [37] also describe a bundle of seven interventions including timely patient identification and staff education, which aimed at increasing the number of children with osteomyelitis leaving the hospital on oral antibiotics as opposed to antibiotics given intravenously.

Boumrane and Mair (2014) implemented an electronic preoperative integrated care pathway (eForm) allowing all hospitals to access a comprehensive patient medical history via a clinical portal on the health-board intranet. This electronic pathway resulted in a streamlined, standardised and integrated preoperative assessment process [36].

Interventions aimed at improving the flow of patients through the hospital

Seven studies sought to reduce waiting times, length of stay or improving discharge planning [42, 43, 48, 52, 54, 56, 59]. Hovlid (2012) [48] asked 40 healthcare professionals to redesign the elective surgery pathway in order to reduce the number of cancellations. Changes implemented included refining referral entry points, earlier clinical assessments, improvements in communication and information flow and agreement with patients about selection of their date for their surgery. Mazzocato reported a similar approach to staff-wide involvement in improving patient flow in the paediatric emergency department. The LEAN inspired intervention included changes in work schedules, new roles and job descriptions, team problem solving alongside regular monthly meetings with management groups [52]. Rotteau et al. (2015) [59] also aimed to improve the flow of patients in the emergency department using LEAN based quality improvements and a dedicated hospital improvement team. The interventions included system wide pay-for performance incentives, monthly reports of common data sets and setting targets for length of stay. External LEAN coaches were appointed to train and mentor improvement teams. Glasgow (2013) [43] also reported the use of improvement coaches to work with quality improvement teams to help improve in-patient hospital flow. This was a national programme involving 26 hospitals who were tasked with identifying a solution to each hospital's flow concerns guided by the VA–TAMMCS improvement framework (i.e. vision analysis, identifying a team, developing clear aims, flow mapping, and running plan, do, study, act change cycles followed by working to sustain and spread improvements).

A multicomponent intervention aimed at improved discharged planning to reduce the need for readmission was described in Mitchell (2017) [54]. They used a combination of patient education, identifying patient language needs, and planning for follow-up appointments including follow-up telephone calls to “reinforce” the discharge plan.

Nordmark [56] used technology solutions (e.g. shared calendars, video-conferencing, electronic information systems) to improve the discharge planning process. This was implemented by the registered nurse at the hospital who provided continuity of care by performing the discharge plan from admission to discharge.

The implementation of multi-professional team work, a behaviour-change intervention reported in Frykman (2013) which sought to reduce waiting times. The intervention involved room allocation, meetings at the start and end of each shift with reflection and feedback. External performance consultants assisted the dedicated change facilitator.

Interventions aimed at improving hospital processes

Three studies sought to improve hospital processes and infection control [34, 44, 53]. In Bernstein et al. (2009), local champions across seven sites used a brief intervention technique (based on motivational interviewing) to develop action plans and referrals for patients with substance abuse treatment that were identified in the emergency department [34]. Champion groups were also used in Gould (2016) to improve infection control and promote improved hand hygiene behaviours through a targeted multicomponent action plan with clear targets for reducing infection (e.g. deep cleaning, hand hygiene campaign, monthly metrics) [44]. A similar approach was reported in McClung (2017) [53] who used healthcare bundles to improve adherence to evidence based practices aimed at reducing healthcare associated infections.

Theoretical frameworks

The majority of studies (24/32) were judged to have consistently applied and articulated the chosen framework (Fig. 3a) (Table 1). However, because the use of different terminology to describe theoretical approaches is often confusing, we mapped the identified frameworks from each of the included studies against Nilsen’s taxonomy of theories, models and frameworks [29] to bring some clarity about the different types of frameworks that have been described in the included studies. The definitions for each of the five categories are summarised in Table 1. Two independent reviewers judged 14/32 studies as using a determinant framework [31, 32, 39,40,41,42, 46,47,48, 50, 53, 54, 58, 60] (Fig. 3b). The remaining studies were judged as implementation theory (n = 8/32) [36, 38, 42, 44, 51, 53, 55, 56]; process model (n = 5/32, 48, 54, 55, 58, 65]; evaluation framework (n = 3/32) [33,34,35] and classic theory (n = 2/32) [32, 58].

Fig. 3
figure 3

a Level of theoretical visibility; b Framework categorisation

Sustainability

Two studies [36, 40] reported sustainability across all five key constructs identified by Moore’s (2017, 8] definition of sustainability. Figure 4 shows a graph of the studies mapped to the five constructs of sustainability. The length of time interventions were sustained was clearly documented in 28/32 studies, and ranged from 6 months [46, 51, 59] – 8 years [40, 41] (Additional file 8).

Fig. 4
figure 4

Bar chart showing the included studies mapped to the five constructs of sustainability

Interventions, programs and/or implementation strategies continued to be delivered in 18/32 studies and individual behaviour was reported as maintained in 9/32 studies (Additional file 8). Interventions were also reported to continue producing longer term benefits for individuals and / or systems in 9/32 studies and were reported to have evolved or adapted in 10/32 studies (Additional file 8).

Barriers and facilitators

Barriers and facilitators that influenced the delivery of sustained healthcare interventions in hospital-based settings were reported across all included studies [31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62]. Multiple barriers and facilitators were identified within each study, and were extracted and mapped to the 40 sustainability constructs across the six themes from the Lennox (2018) Consolidated Framework for Sustainability Constructs in Healthcare (Fig. 1) [12].

In the following subsections, we consider the volume of evidence reported by the included studies using a series of graphs (see Figs. 5, 6, 7, 8, 9 and 10) and key examples that were identified for each of the themes (see Additional files 9, 10, 11, 12, 13 and 14). Data categorised as ‘neutral’ was reported across 11 studies [31, 35, 39, 41, 43,44,45, 48, 49, 53, 59], represented less than 2% of all of the extracted data, and is summarised in Figs. 5, 6, 7, 8, 9 and 10. The main barriers and facilitators within each theme are summarised in Fig. 11 and Fig. 12 respectively.

Fig. 5
figure 5

Bar chart showing the volume of evidence for barriers and facilitators reported within the initiative design and delivery theme

Fig. 6
figure 6

Bar chart showing the volume of evidence for barriers and facilitators reported within the negotiating initiative processes theme

Fig. 7
figure 7

Bar chart showing the volume of evidence for barriers and facilitators reported within the people involved theme

Fig. 8
figure 8

Bar chart showing the volume of evidence for barriers and facilitators reported within the resources theme

Fig. 9
figure 9

Bar chart showing the volume of evidence for barriers and facilitators reported within the organisational setting theme

Fig. 10
figure 10

Bar chart showing the volume of evidence for barriers and facilitators reported within the external environment theme

Fig. 11
figure 11

Key barriers reported within each of the themes from the Lennox (2018) Consolidated Framework for Sustainability Constructs in Healthcare [12]

Fig. 12
figure 12

Key facilitators reported within each of the themes from the Lennox (2018) Consolidated Framework for Sustainability Constructs in Healthcare [12]

Initiative design and delivery

Barriers

Fifteen studies reported barriers within this theme [31, 33, 34, 37, 39, 41, 42, 45, 49, 51, 54,55,56, 58, 61] (Fig. 5). The most commonly reported barrier was training on the intervention and capacity building [31, 33, 35, 37,38,39, 44, 45, 53, 56, 60]. Ament 2017 [31] emphasised the recurring nature of this barrier given that “knowledge of and experience with the program is lost in the institution, as new doctors enter training every year” (p1139, [31]).

Other studies described no formal training, or confusion surrounding training processes and expectations. Seven studies highlighted the lack of longitudinal monitoring to measure progress over time [35, 38, 42, 45, 56, 58, 60]. Challenges sustaining the intervention were also observed in six studies when staff were unaware of the impact of the intervention or the effectiveness of the intervention was not clearly demonstrated [31, 33, 41, 42, 54, 58].

Individual staff barriers including limited experience of delivering interventions, having a poor knowledge-base, and/or a lack of confidence were described in six studies [34, 42, 45, 49, 56, 61]. Other barriers included a lack of awareness of the problem [37, 39, 49, 51, 55]; the poor evidence-base underpinning the intervention [44] or projects viewed as time-limited, and linked to grant funding [33, 54]. Two studies reported that the lack of improvement methods, such as poor quality record keeping, were obstacles to sustained success of the intervention [33, 42].

Facilitators

Initiative design and delivery was identified as a facilitator for sustainability in all of the included studies (n = 32) (Table 1) (Fig. 5). The ability to monitor the sustained progress of the intervention [31, 32, 34, 37, 39, 40, 43,44,45,46,47,48, 51,52,53,54, 57, 60, 62], and ensuring adequate training and building capacity (e.g. in-service training, champions, mentoring and supervision) [33, 34, 36,37,38,39, 41, 43, 45,46,47,48,49, 51, 55, 60, 61] to deliver the intervention were the most frequently reported factors.

Fourteen studies stressed the value of having appropriate expertise and knowledge in order to deliver the intervention [31, 33, 34, 36, 44, 45, 47,48,49,50, 55,56,57, 60]. Eleven studies noted the importance of establishing the credibility of the intervention, ensuring a strong evidence base and being able to demonstrate evidence of effectiveness and benefit to patients and staff [31, 32, 34, 41, 44, 45, 51, 57, 59, 60, 62]. The severity and relevance of the problem that the intervention was targeting was also identified as a key facilitator in 9/32 studies [36, 38,39,40, 44, 48,49,50, 56]. The type of project [36, 46] and project duration [40, 42] were less frequently cited.

Negotiating initiative processes

Barriers

Failure to negotiate initiative processes was identified as a key barrier in 24/32 studies [31,32,33,34,35,36,37,38,39, 41, 42, 44,45,46, 49,50,51,52, 54,55,56, 59,60,61]. Two main barriers were identified within this theme: workload pressures (n = 14/32) [31,32,33,34, 37,38,39, 44, 49, 50, 54,55,56, 59] and complexity of the problem being addressed (n = 14) [34, 36,37,38,39, 42, 44, 45, 49, 50, 54, 55, 60, 61]. Studies reported concerns that the interventions would increase the burden on staff already stretched by their current, often heavy, workload, with the intervention viewed as an additional task with little added benefit. The complexity of understanding, implementing and sustaining the intervention was also frequently reported. Role ambiguity and a lack of clarity around responsibilities involved in the intervention was also described as hindering sustainability in 13/32 studies [32, 36, 38, 41, 42, 45, 46, 50,51,52, 56, 59, 60]. The lack of staff confidence or belief in the intervention and whether it would improve current practice or patient outcomes was reported as a barrier in 9/32 studies [34, 37, 45, 49, 51, 54, 55, 59, 61]. Other challenges identified within this theme included confusion about how the intervention would work or be implemented (i.e. a lack of mutual shared vision) (n = 6/32 studies) [35, 42, 49, 54, 56, 59]. Other studies reported that specific job requirements were not clear and had not been agreed with staff or incorporated into their role [33, 45, 46, 52]. Studies also described no formal recognition or involvement as a disincentive [42, 46, 60].

Facilitators

Thirty studies reported that successfully negotiating initiative processes was a key facilitator [31,32,33,34,35,36,37,38,39,40,41,42, 44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60, 62]. Accountability of roles and responsibilities was the most frequently reported facilitator (n = 23/32) [31,32,33,34, 37, 38, 40, 41, 44,45,46,47,48,49,50, 52,53,54,55,56, 59, 60, 62].

Mazzacato 2012 [52], for example, stated that “Before the hospital-initiated improvement efforts, different actors assumed their roles and responsibilities based on spheres of expertise … The lean intervention brought new roles and responsibilities (flow managers, team nurse and nurse’s aide, and team physician) which were further formalized in job descriptions. This contributed to reduce ambiguity and variation in how individuals carried out their work.” [52] (p8–9).

Fifteen studies highlighted the importance of engagement with stakeholders and frontline staff, and including their perspectives to help define the objectives and shared vision of the intervention [32, 35,36,37,38, 45, 46, 52, 54,55,56,57,58,59,60]. Incentives including positive feedback, meeting targets for high quality care and certification were described as facilitative in 11/32 studies [31, 34,35,36, 38,39,40,41,42, 44, 46, 51, 53, 55, 58]. An equal number of studies also pointed out the importance of staff belief in the intervention as a positive contributor to sustainability [32, 34, 37,38,39, 48, 49, 51, 58,59,60]. Study authors reported that interventions were more sustainable when they reduced the complexity of an existing task by simplifying and streamlining processes [34, 36, 38, 41, 49, 54, 62]. As a result of the co-ordinated strategies, studies reported an improvement in job requirements [31, 32, 34, 44, 45, 57, 58] which enhanced team working or a reduced workload [34, 36, 52, 55].

The people involved

Barriers

Sixteen studies identified the people involved as barriers to sustainability of the intervention [31, 33,34,35, 39,40,41, 45, 46, 49,50,51,52, 54, 55, 59]. A lack of strong leadership or support by change agents/champions was mentioned in 8/32 studies [31, 35, 41, 46, 49, 51, 54, 59]. The power distribution in relationships between professionals (inter-and -intra professional hierarchies) and power dynamics between professionals and patients were identified as a major barrier in 5/32 studies [34, 39, 45, 50, 55].

Failure to involve patients or consider their views and perspectives also negatively impacted on sustainability of the intervention [33, 45, 50, 52, 55]. Four studies pointed to the breakdown in relationships, collaborations and networks [39,40,41, 52] as a threat. Satisfaction [35, 52], community participation [33] and staff involvement [54] were least frequently cited as barriers across the studies. Stakeholder participation and ownership were not identified as barriers within this theme.

Facilitators

Thirty studies described the people involved as key to the success of the intervention [31,32,33,34,35,36,37,38,39,40,41,42, 44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60, 62]. Supportive leadership, including strong champions advocating the use of the intervention, was the most frequently reported facilitator in this category (n = 22/32) [32, 35, 36, 38,39,40,41, 44,45,46,47, 50,51,52,53,54,55, 57,58,59,60, 62]. This often included identifying “agents of change” (i.e.) staff who were committed to the intervention and who would take “ownership” [32, 44, 62] of the programme or intervention, helping embed the intervention into daily routine practice.

The distribution of “power” and the importance of engaging “all expertise in the team (the patient included)” [55] (p4) was also viewed as major factor underpinning sustainability in 15/32 studies [32, 33, 38, 39, 44,45,46, 48, 49, 51, 55, 58,59,60, 62]. Eleven studies [35,36,37, 39, 41, 45, 48, 51, 57, 59, 60] pointed to staff involvement from the inception of the intervention as key “to ensure acceptance and ownership of change in practice” (p11) [35].

Consideration of patient needs and satisfaction [31, 33,34,35, 45,46,47,48,49, 54, 55, 59] was reported as important, particularly when patients gave positive feedback on the intervention. Eleven studies also highlighted the importance of relationships, collaborations, partnerships and networks and their positive impact on sustainability [32, 34, 35, 38, 41, 45, 47, 49, 51, 56, 58].

Resources

Barriers

Twenty two studies described resources as an obstacle to the sustainability of hospital-based interventions [31, 33,34,35, 37,38,39,40,41,42,43,44, 46, 49, 50, 52,53,54,55,56, 60, 61] (Fig. 8). Staff shortages, and /or a high turnover of staff were reported as the main barriers in 15/32 studies [31, 35, 37,38,39, 41,42,43,44, 46, 49, 50, 53, 55, 60]. For example, “the turnover of newly graduated nurses as one barrier to success in the implementation project and sustainability of the new ‘routine’” [50](p272).

Other barriers included a lack of time, with staff being too busy or struggling to find time to implement the intervention in 8/32 studies [31, 35, 38, 39, 49, 53, 55, 61]. Seven studies pointed to poor infrastructure as negatively impacting on ability to sustain the intervention [33, 39, 44, 46, 52, 53, 56]. Other studies described delivery of the intervention (or components) as threatened, or abandoned altogether, if general resource issues were unavailable [35, 38, 39, 49, 54, 60]. Four studies described the challenge of securing long-term funding in the absence of any dedicated finance [33, 34, 39, 40].

Facilitators

Twenty three studies identified resources as an important facilitator [31,32,33,34,35,36,37,38,39, 45,46,47, 49, 50, 52,53,54,55,56,57,58, 61, 62]. Having the appropriate infrastructure in place to support the change, for example, a suitable work space or access to ‘good’ IT systems and software for documenting patient care, was the most frequently reported facilitator (17/32 studies [32,33,34,35,36,37, 46, 47, 49, 50, 52, 54, 56,57,58, 61, 62]). Other facilitators considered essential included appropriate staffing levels [31, 32, 37, 38, 46, 49, 55, 57, 58], and dedicated, protected time (staff or volunteer) [31, 32, 39, 46, 47, 49, 52, 62]. Adequate funding [34, 39, 45, 57, 58] and the availability of general resources [38, 46, 53] were critical, with one study arguing that “national resourcing and regional support have undoubtedly boosted the rapid and widespread adoption and implementation of the programme” [58] (p1205).

The organisational setting

Barriers

Twenty four papers reported barriers in the organisational setting [31,32,33,34,35, 38,39,40,41,42,43, 45, 46, 48,49,50,51, 53,54,55,56, 58,59,60] (Fig. 9). Nine studies described the lack of support available as a major barrier [35, 38, 41, 42, 45, 46, 49, 51, 56]. Lack of organisational readiness and limited capacity to deliver the intervention was an obstacle to successful sustainability in 7/32 studies [42, 43, 45, 49, 54, 58, 59]. Failure to integrate the intervention within existing programmes and policies impeded sustainability in 7/32 studies [31, 33, 34, 42, 45, 53, 59]. Six studies reported barriers related to hospital culture and values [31, 38, 40, 45, 50, 54] including “changing long-held practices” [45] (p7). Conflicting objectives, competing priorities, or fatigue from previous implementation projects resulted in organisation opposition in six studies [39, 42, 45, 48, 55, 60]. Intervention adaptation and receptivity was the least frequently reported barrier [32].

Facilitators

Facilitators in the organisational setting were identified in 31/32 studies [31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49, 51,52,53,54,55,56,57,58,59,60,61,62]. The importance of a supportive organisation and having the management team “on board” was most frequently reported (n = 21/32) [32,33,34,35, 38, 40, 41, 44,45,46,47,48,49, 51, 52, 55, 57,58,59, 61, 62]. The ability and ease of the intervention to be embedded and integrated within existing services and policies was reported as a facilitator in sixteen studies [32, 33, 35, 36, 38,39,40, 45,46,47,48,49, 51, 52, 54, 57].

The capacity and organisational readiness to deliver the intervention was also highlighted as an important facilitator in 15/32 studies [32, 33, 35, 37, 41,42,43,44,45, 47, 48, 56,57,58, 62]. Glasgow 2013 stressed the importance of strengthening organisational strategies, in order to build a stronger ‘system’, and not solely rely on the number of staff available to deliver an intervention [43]. The ability of an intervention to be flexible or adjusted depending on local factors or contexts was key to sustainability in 13/32 studies [31, 32, 34, 38, 39, 41, 45,46,47,48, 54, 57, 60]. These studies also highlighted the longer-term value of being able to monitor and modify the intervention over time as local requirements changed. Twelve studies linked the sustained success of an intervention with the compatibility of the organisation’s beliefs, values and culture [31, 32, 34, 35, 37, 38, 41, 43, 51, 53, 54, 58].

External environment

Barriers

The external environment was identified as a barrier in 4/32 studies [31, 32, 54, 56]. Three studies identified issues related to socioeconomic and political considerations [32, 54, 56]. For example, one reported that society had not kept pace with healthcare demands and highlighted multiple challenges (e.g. lack of sheltered homes, increasing ageing demographics) which impeded the sustainability of a discharge planning intervention [56]. A decreased awareness and a lowered profile, as a result of less intensive communications between hospitals in the post-implementation phase, was identified as a barrier to sustainability in one study [31] (Fig. 9, Additional file 13).

Facilitators

Seventeen studies described the external environment as a facilitator of sustainability [31,32,33,34,35,36,37,38, 40, 44, 45, 48, 53, 54, 57, 58, 60] (Fig. 10). Socioeconomic and political considerations were most frequently reported (n = 9/32) [31,32,33, 36, 40, 44, 53, 54, 57]. National registration, audit programmes, national policies and guidelines which encouraged greater transparency and improved performance were identified as factors positively impacting on sustainability.

The ability of an effective intervention to spread to other sites – within and across organisations - was also considered important in 8/32 studies [31, 35,36,37,38, 48, 54, 58]. Five studies highlighted the value of media reports, publicity campaigns and marketing to raise the profile and improve public awareness [31, 34, 44, 45, 60]. Motivation (or urgency) to sustain an intervention was reported as a facilitator in one study [54] (Fig. 10, Additional file 14).

Other factors

Our review identified other barriers and facilitators reported in 14/32 studies [31, 33, 35, 39, 41,42,43, 45,46,47,48,49, 54, 55] that we could not map to the predefined constructs [12]. We organised the data that we could not map into two new constructs to refine the Lennox framework for hospital settings and two linked principles about sustainability in hospitals that complement it.

The first new construct is the spread from other sources including other parts of an organisation [33, 42] (External environment theme) is a key influence for sustainability. This could include educational influences, for example from invited speakers (e.g. 44) or a site visit to observe practice (53). While Lennox (2018) include a construct of Spread to other organisations, as observed by Frykman et al. (2017) “High interdependencies with organizational processes outside of the ED / the ED was part of a complex system in which ED work processes and ED staff changes at the hospital level affected the conditions for teamwork at the ED” (p73) [42].

The second proposed new construct is initiative development, to acknowledge explicitly that sustainability may require adding to or developing the intervention (37, 57). The data pointed to the need to accurately capture the adaptations that occurred to the intervention over time in order to fully understand sustainability [31]. Adaptation of the organisational context is catered for within the Lennox (2018) framework (Intervention adaptation and receptivity), however, it does not specifically cover adding to the initiative over time, for example “Some respondents also felt that program champions were necessary to …be able to add to the program” [39].

The first principle to complement the Consolidated Framework is the extent to which sustainability is unpredictable in hospital settings (refs [32, 41, 46, 47, 62]). One study reported that “Across sites, there was no discernible pattern in the proportion of barriers and enablers identified or the nature of barriers and enablers related to sustainability considerations, such as culture, capacity, supportive environment, or clinical features” (p.10) (ref [32]), while another found that “knowing performance and organizational details for one hospital would not aid in predicting performance at another hospital” (p199, [43]).

A linked principle to accompany the Consolidated Framework is that approaches to sustainability need to be multifaceted (refs [47, 50, 54, 64]). Studies described the importance of the combination and interaction of measures to sustain long-term change [41]. For example, Bhanbhro et al. (2016) commented that “there was no single measure that sustains long-term change in practice for NHS rehabilitation units. Rather, that several interconnected measures need to be considered prior, during and after a new programme is introduced.” (p12) [35].

Discussion

Summary of the main results

Our systematic review identified 32 empirical studies where theoretical frameworks were explicitly used to address sustainability of hospital-based interventions. Of these, 72% of studies employed a qualitative design, and 50% were conducted in the UK or USA. Most of the studies (84%) involved a combination of participants from frontline and higher organisational levels (unit, ward, department).

All of the hospital-based interventions were multicomponent and delivered in diverse healthcare settings, with most of them aimed at improving patient care and/or safety. Interventions were frequently reported as tailored (25/32) and/or modified (14/32) but details about how and when they were changed were poorly described. Only two studies (6%) reported all sustainability constructs as defined by Moore (2017) [8]. The most frequently reported sustainability contruct (88%) was the length of time interventions were sustained which ranged widely across studies, from 6 months – 8 years.

Our review documented a variety of theories, frameworks and models, with almost half of the studies (15/32) examining sustainability by drawing on established implementation frameworks (e.g. NPT [36, 38, 44, 55, 56], CFIR [31, 46, 53, 60]). Further coding of frameworks reported in the included studies using Nilsen’s taxonomy of theories, models and frameworks [29] showed that 13/32 studies had used a determinant framework to provide better understanding and explanation of how and why sustainability succeeds or fails. Determinant frameworks have been argued to provide a generic structure to the implementation process, but have also received criticism as their stucture lacks sufficient detail to translate into meaningful guidance that can be tailored to the specifics of individual ward contexts [29]. In addition, determinant frameworks do not address the dynamic process elements of sustainability, but rather frame implementation as a one-off event [29]. The Consolidated Framework for Sustainability Constructs in Healthcare is a determinant framework; although in looking for best fit with existing constructs we found it to be comprehensive, this may explain why the data we could not code to it all refers to sustainability as a dynamic process.

Barriers and facilitators were reported in all studies. However, we were surprised to identify twice as many facilitators reported in the literature compared with barriers. When mapped to the Consolidated Framework for Sustainability Constructs in Healthcare, three constructs were reported as key influencers in sustaining change in practice in hospital settings: clear accountability of roles and responsibilities while negotiating initiative ​processes (72%); ensuring the availability of strong leadership and champions advocating the use of the intervention (69%), and provision of adequate support available at an organisational level (66%). The high prevalence of these three facilitating factors across all studies provides a helpful indication of aspects that should be addressed to help support sustaining an intervention over time. This combination of ward level champions who have clear responsibilities for facilitating ongoing implementation along with strong support provided at an organisational level is regarded as hugely impactful in achieving sustained intervention use.

The most frequently reported barrier to sustainability in almost half of the included studies was inadequate staff resourcing (15/32 studies, 49%) usually as a result of staff shortages, and /or a high turnover of staff. This finding reflects those of implementation studies where issues around staff resourcing also feature strongly as a barrier. It is important that capacity in terms of ‘how much’ a ward can do is addressed to ensure that staff are given the time and space to engage with interventions. If staffing levels are low and/or in constant fluctuation it is clear why sustaining an intervention cannot be given the time required. Organisations need to ensure appropriate investment in infrastructure to ensure staff can have sufficient time in their role to engage with improvement work, not just at point of delivery but on a daily basis, such that interventions become embedded in practice. The fact that the most frequently reported barrier was only discussed in less than half of the studies reveals a large variability in what can potentially impact on sustainability. This finding reiterates the importance of addressing context and recognising factors specific to a given organisation/setting that could potentially impact on sustained intervention use.

Parallel to our review of sustainability in hospitals, Penno et al. (2019) [70] have made a welcome contribution to this emerging field by conducting a systematic review and theory analysis to understand sustainability specifically in acute settings. Like us, they selected Moore et al’s [8] definition of sustainability and chose to draw on Lennox et al’s [12] consolidated framework, suggesting that these may become index papers in the field. Penno et al. (2019) [70] compared eight frameworks designed specifically to support sustainability of evidence based practices in healthcare settings; interestingly only three of these featured in the 32 papers in our sample, which likely reflects our more inclusive approach towards authors’ choice of frameworks. Different methods and interpretation of the Lennox constructs limit the extent to which our findings can be directly compared. Penno et al’s review reinforces our finding of the centrality of strong leadership to sustainability, and the need to regard it as a process. It did not identify our key combination of facilitators or proposed new constructs, which again may be a consequence of differences in inclusion criteria.

The review of implementation in hospitals by Geerligs et al. is also an opportunity to add to previous findings that sustainability is a distinct phase [1]. Geerligs et al. identified key interacting domains of the system, staff and intervention. Although again not directly comparable due to different methods, the three most frequent facilitators for sustainability across papers included in our review were accountability of roles and responsibilities, strong leadership and champions advocating the use of the intervention, and adequate organisational support. Roles has synergy with Geerligs et al’s staff domain, which focuses on staff beliefs, engagement and skills. Organisational support aligns with their system domain, which highlights the importance of understanding the organisational context. Our third most prevalent facilitator – leadership – suggests that this may assume more importance for the sustainability phase than the intervention itself.

Our work builds on the comprehensive framework published by Lennox and colleagues [12], by identifying two new constructs and two new linked principles applicable to hospital settings. These were the spread from other sources initiative development; the (un) predictability of sustainability; and that sustainability plans need to be multifaceted. We see these emergent constructs and principles as also augmenting the work of Chambers et al. (2013, [13]) because they provide tangible elements that enable use of a theoretical framework as a practical tool. This has potential for supporting staff to ensure interventions are used and sustained in the work place.

In common with the Geerlig’s et al. review of implementation in hospitals [1], and Penno et al’s [70] review of sustainability frameworks for acute settings, we have demonstrated that any attempt to support sustainability must work with its dynamic nature. We would advocate for continued research exploring the dynamic nature of sustained implementation, trying to better understand this evolutionary process and the role of frameworks in identify fluctuating factors that influence sustained success and ways in which they can dynamically be addressed. In addition, both our reporting of barriers and facilitators and our emergent constructs and principles highlight that influencers on sustainability need to be considered in a reciprocal manner. In other words, the interplay between factors and the compensatory manner in which a facilitator of sustainability can outweigh a potential barrier to sustainability needs to be addressed. For example, a lack of adequate resourcing may not impact on sustainability if there is sufficient presence of facilitating factors on the ward (e.g. an enthusiastic, motivated workforce). It is important therefore to review both potential barrier and facilitator factors as a whole, assessing each factor’s level of influence and relative influence on the likelihood of an intervention being sustained.

Our findings also highlight the need for ongoing assessment of the readiness of a ward in terms of its ability to support sustained intervention use. The importance of planning and contingency planning cannot be overstated in ensuring that an intervention is being delivered in the least hostile environment possible. This is an aspect that should be addressed pre-intervention but also continuously over time [13]. Implementation and sustainability are dynamic processes, not one-off occurrences, and need to be recognised as such through the provision of continuous resources and processes to support them.

Strengths and limitations

This systematic review was performed with a high level of rigour as outlined in our protocol paper [17]. We sought studies where the authors had an empirical interest in sustainability of interventions in a hospital setting, which they structured explicitly through use of a framework. Apart from this commonality, the 32 included studies were heterogeneous in every respect. For example, sustainability was examined through an implementation science lens, an improvement science lens, and a sustainability lens. We integrated them through extracting reported barriers and facilitators to sustainability and mapping these to an existing consolidated framework. While this risks a charge of comparing apples with pears, hospital staff face multiple competing demands for sustainability, which is reflected in the included papers and our methods.

It is possible despite our best efforts that we may not have identified all of the relevant literature. In part, this may be due to the breadth of the original research question, and magnitude of the literature returned from our systematic searching. Furthermore the literature in this area is dogged by inconsistent definitions (e.g sustainability) and/or little or no methodological detail regarding frameworks reported within abstracts to warrant inclusion in the final studies reviewed.

We only included studies published in English and studies included were limited to peer-reviewed literature only. Consequently there is likely to be a large body of unpublished literature or publications in other languages relating to sustainability, and it is possible that other facilitators and barriers would have been identified if such literature had been included. In addition, the review was conducted in December 2017, so literature published after this date was not included. However, as the research included here is largely qualitative, any further research would be unlikely to alter the findings significantly [71, 72].

Both when reporting and exploring results relating to barriers and facilitators we have focused on data relating to the frequency of reporting across the included studies. This is a major limitation of our study, as it focuses solely on the number of reports. Frequency of reporting of a barrier or facilitator should not be interpreted as a measure of the size or extent of the problem relating to that influencer. Despite the limitations of our approach, it enabled a focus on barriers and facilitators which may be amongst the most frequent in clinical practice. The heterogeneity of study designs, and large proportion of studies with qualitative data only, mean that there are currently few alternatives to quantifying main issues in this field.

Despite acknowledged limitations, this review provides the first comprehensive overview to our knowledge of the evidence around how to support sustained use of interventions in hospital settings. It therefore has potential practical impact for both policy makers and the implementation research community.

Implications for practice

Three factors should be proritised when delivering any innnovation in a ward setting: ensuring there is stong senior organiational leadership to support the innovation; having ward level champions to promote the innovation; and having clear accountability of roles and responsibilities for delivery of the innovation. Many innovations require staff to do more, and even doing the same things differently can take more time. It is important to ensure that sufficient resource is continually available to support the delivery of the planned innovation if it is to be sustained over time. It is also important to consider the local context and, when introducing a new innovation, consider that what has worked well in one location may not automatically work as well in a different setting. Ward situations continually change, so it is important to routinely monitor the factors that support or inhibit innovation delivery.

It should be noted that despite these clear recommendations for practice, we recognise the majority of included studies were conducted in developed countries. Potentially this may limit the generalisability of our results to low and middle income countries where health systems can be very different from those in developed nations.

Implications for research

To achieve increased understanding of how to facilitate sustained use of interventions, it is important that studies reported in the literature adopt a more consistent and complete approach to reporting of sustainability and provide specifics of what happens to an intervention over time. Many studies are limited by the funding available, therefore, we would also argue that funding bodies need to support long-term evaluation work to allow the evidence base around sustainability to grow.

The scope of our review was limited to hospital in-patient settings. The narrow focus of the review allows for findings to be of practical benefit to this setting and ensure results are not too generalised as to be unbeneficial. Recommendations for future research include extending the scope to other areas, such as primary care, out-patient facilities and ambulatory care. It would be interesting to compare factors that impact on sustainability in such settings to identify if context plays a role in influencing the main facilitators and barriers to sustainability.

Factors which impact on implementation are not necessariliy the same factors that impact on sustainability. Similarly, it cannot be assumed that the factors influencing intervention sustainability remain constant. As highlighted in this review, sustainabilty is very much a process, and as such can be influenced by different contextual or mechanistic factors at different times. Frameworks to support sustainability must therefore support this changeable landscape, capturing the different patterns of sustainability in order to help support continued intervention use.

Conclusions

Our review provides a contemporary insight into the use of frameworks for sustaining interventions in hospitals. Key components for sustaining an intervention have been identified and inform what aspects any sustainability frameworks need to address if they are to have a positive impact on practice and patient care. In particular, we reflect on the dynamic nature of implementation, and promote the need for a framework to address implementation not as a one-off event, but a continuous, evolving process.

This review is a valuable addition to the evidence base around the use of frameworks to support sustainability. It has also highlighted the need for more consistent and complete reporting of sustainability if we are to learn best practice for implementation work going forward.

Availability of data and materials

All data analysed or produced as a result of this review are included in the main file and Additional files.

Abbreviations

CFIR:

Consolidated Framework for Implementation Research

MRC:

Medical Research Council

NPT:

Normalisation Process Theory

PARiHS:

Promoting Action on Research Implementation in Health Services

PRISMA:

Preferred Reporting Items for Systematic review and Meta-Analysis

PRISMA-P:

Preferred Reporting Items for Systematic review and Meta-Analysis Protocol

QUERI:

Quality Enhancement Research Initiative

RE-AIM:

Reach, Effectiveness, Adoption, Implementation, and Maintenance

TIDieR :

Template for Intervention Description and Replication

References

  1. Geerligs L, Rankin NM, Shepherd HL, Butow P. Hospital-based interventions: a systematic review of staff-reported barriers and facilitators to implementation processes. Implement Sci. 2018;13(1):36.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Savaya R, Elsworth G, Rogers P. Projected sustainability of innovative social programs. Eval Rev. 2009;33(2):189–205.

    Article  PubMed  Google Scholar 

  3. Chaudoir SR, Dugan AG, Barr CHI. Measuring factors affecting implementation of health innovations a systematic revew. Implement Sci. 2013;8:22.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Wiltsey Stirman S, Kimberly J, Cook N, Calloway A, Castro F, Charns M. The sustainability of new programs and innovations: a review of the empirical literature and recommendations for future research. Implement Sci. 2012;7:17.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Proctor E, Luke D, Calhoun A, McMillen C, Brownson R, McCrary S, et al. Sustainability of evidence-based healthcare: research agenda, methodological advances, and infrastructure support. Implement Sci. 2015;10:88.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Tricco AC, Ashoor HM, Cardoso R, MacDonald H, Cogo E, Kastner M, et al. Sustainability of knowledge translation interventions in healthcare decision-making: a scoping review. Implement Sci. 2016;11:55.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Gruen RL, Elliott JH, Nolan ML, Lawton PD, Parkhill A, McLaren CJ, et al. Sustainability science: an integrated approach for health-programme planning. Lancet. 2008;372(9649):1579–89.

    Article  PubMed  Google Scholar 

  8. Moore JE, Mascarenhas A, Bain J, Straus SE. Developing a comprehensive definition of sustainability. Implement Sci. 2017;12(1):110.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Proctor EK, Powell BJ, Baumann AA, Hamilton AM, Santens RL. Writing implementation research grant proposals: ten key ingredients. Implement Sci. 2012;7:96.

    Article  PubMed  PubMed Central  Google Scholar 

  10. May C, Sibley A, Hunt K. The nursing work of hospital-based clinical practice guideline implementation: an explanatory systematic review using normalisation process theory. Int J Nurs Stud. 2014;51(2):289–99.

    Article  PubMed  Google Scholar 

  11. Kirk MA, Kelley C, Yankey N, Birken SA, Abadie B, Damschroder L. A systematic review of the use of the consolidated framework for implementation research. Implement Sci. 2016;11:72.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Lennox L, Maher L, Reed J. Navigating the sustainability landscape: a systematic review of sustainability approaches in healthcare. Implement Sci. 2018;13(1):27.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Chambers DA, Glasgow RE, Stange KC. The dynamic sustainability framework: addressing the paradox of sustainment amid ongoing change. Implement Sci. 2013;8:117.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Haines A, Kuruvilla S, Borchert M. Bridging the implementation gap between knowledge and action for health. Bull World Health Organ. 2004;82(10):724–31 discussion 732.

    PubMed  PubMed Central  Google Scholar 

  15. Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al. Cochrane handbook for systematic reviews of interventions. Cochrane collaboration; 2019.

    Book  Google Scholar 

  16. Frameworks to maximise effective intervention sustainability on the ward: a systematic review [http://www.crd.york.ac.uk/PROSPERO/display_record.php? ID=CRD42017081992].

  17. Cowie J, Campbell P, Dimova E, Nicoll A, Duncan EAS. Improving the sustainability of hospital-based interventions: a study protocol for a systematic review. BMJ Open. 2018;8(9):e025069.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339:b2700.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Greenhalgh T, Robert G, Macfarlane F, Bate P, Kyriakidou O. Diffusion of innovations in service organizations: systematic review and recommendations. Milbank Q. 2004;82(4):581–629.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Schell SF, Luke DA, Schooley MW, Elliott MB, Herbers SH, Mueller NB, et al. Public health program capacity for sustainability: a new framework. Implement Sci. 2013;8(15):15.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Ament SM, de Groot JJ, Maessen JM, Dirksen CD, van der Weijden T, Kleijnen J. Sustainability of professionals’ adherence to clinical practice guidelines in medical care: a systematic review. BMJ Open. 2015;5(12):e008073.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Willis CD, Saul J, Bevan H, Scheirer MA, Best A, Greenhalgh T, et al. Sustaining organizational culture change in health systems. J Health Organ Manag. 2016;30(1):2–30.

    Article  PubMed  Google Scholar 

  24. McGowan J, Sampson M, Salzwedel DM, Cogo E, Foerster V, Lefebvre C. PRESS peer review of electronic search strategies: 2015 guideline statement. J Clin Epidemiol. 2016, 75:40–6.

  25. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Medical Research Council G: developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008;337:a1655.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Bramer WM, Giustini D, de Jonge GB, Holland L, Bekhuis T. De-duplication of database search results for systematic reviews in EndNote. J Med Libr Assoc. 2016;104(3):240–3.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ. 2014;348:g1687.

    Article  PubMed  Google Scholar 

  28. Bach-Mortensen AM, Lange BCL, Montgomery P. Barriers and facilitators to implementing evidence-based interventions among third sector organisations: a systematic review. Implement Sci. 2018;13(1):103.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Nilsen P. Making sense of implementation theories, models and frameworks. Implement Sci. 2015;10:53.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Bradbury-Jones C, Taylor J, Herber O. How theory is used and articulated in qualitative research: development of a new typology. Soc Sci Med. 2014;120:135–41.

    Article  PubMed  Google Scholar 

  31. Ament SMC, Gillissen F, Moser A, Maessen JMC, Dirksen CD, von Meyenfeldt MF, et al. Factors associated with sustainability of 2 quality improvement programs after achieving early implementation success. A qualitative case study. J Eval Clin Pract. 2017;23(6):1135–43.

    Article  PubMed  Google Scholar 

  32. Belizan M, Bergh AM, Cilliers C, Pattinson RC, Voce A, Synergy G. Stages of change: a qualitative study on the implementation of a perinatal audit programme in South Africa. BMC Health Serv Res. 2011;11:243.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Bergh AM, Kerber K, Abwao S, Johnson J, Aliganyira P, Davy K, et al. Implementing facility-based kangaroo mother care services: lessons from a multi-country study in Africa. BMC Health Serv Res. 2014;14:293.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Bernstein E, Topp D, Shaw E, Girard C, Pressman K, Woolcock E, et al. A preliminary report of knowledge translation: lessons from taking screening and brief intervention techniques from the research setting into regional systems of care. Acad Emerg Med. 2009;16(11):1225–33.

    Article  PubMed  Google Scholar 

  35. Bhanbhro S, Gee M, Cook S, Marston L, Lean M, Killaspy H. Recovery-based staff training intervention within mental health rehabilitation units: a two-stage analysis using realistic evaluation principles and framework approach. BMC Psychiatry. 2016;16:292.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Bouamrane MM, Mair FS. Implementation of an integrated preoperative care pathway and regional electronic clinical portal for preoperative assessment. BMC Med Inform Decis Mak. 2014;14:93.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Brady PW, Brinkman WB, Simmons JM, Yau C, White CM, Kirkendall ES, et al. Oral antibiotics at discharge for children with acute osteomyelitis: a rapid cycle improvement project. BMJ Qual Saf. 2014;23(6):499–507.

    Article  PubMed  Google Scholar 

  38. Bridges J, May C, Fuller A, Griffiths P, Wigley W, Gould L, et al. Optimising impact and sustainability: a qualitative process evaluation of a complex intervention targeted at compassionate care. BMJ Qual Saf. 2017;26(12):970–7.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Campbell S, Pieters K, Mullen KA, Reece R, Reid RD. Examining sustainability in a hospital setting: case of smoking cessation. Implement Sci. 2011;6:108.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Fleiszer AR, Semenic SE, Ritchie JA, Richer MC, Denis JL. An organizational perspective on the long-term sustainability of a nursing best practice guidelines program: a case study. BMC Health Serv Res. 2015;15:535.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Fleiszer AR, Semenic SE, Ritchie JA, Richer MC, Denis JL. A unit-level perspective on the long-term sustainability of a nursing best practice guidelines program: an embedded multiple case study. Int J Nurs Stud. 2016;53:204–18.

    Article  PubMed  Google Scholar 

  42. Frykman M, von Thiele SU, Muntlin Athlin A, Hasson H, Mazzocato P. The work is never ending: uncovering teamwork sustainability using realistic evaluation. J Health Organ Manag. 2017;31(1):64–81.

    Article  PubMed  Google Scholar 

  43. Glasgow JM, Yano EM, Kaboli PJ. Impacts of organizational context on quality improvement. Am J Med Qual. 2013;28(3):196–205.

    Article  PubMed  Google Scholar 

  44. Gould DJ, Hale R, Waters E, Allen D. Promoting health workers’ ownership of infection prevention and control: using normalization process theory as an interpretive framework. J Hosp Infect. 2016;94(4):373–80.

    Article  CAS  PubMed  Google Scholar 

  45. Gramlich LM, Sheppard CE, Wasylak T, Gilmour LE, Ljungqvist O, Basualdo-Hammond C, et al. Implementation of enhanced recovery after surgery: a strategy to transform surgical care across a health system. Implement Sci. 2017;12(1):67.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Green SA, Bell D, Mays N. Identification of factors that support successful implementation of care bundles in the acute medical setting: a qualitative study. BMC Health Serv Res. 2017;17(1):120.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Hommel A, Gunningberg L, Idvall E, Baath C. Successful factors to prevent pressure ulcers - an interview study. J Clin Nurs. 2017;26(1–2):182–9.

    Article  PubMed  Google Scholar 

  48. Hovlid EB, Bukve O, Haug K, Aslaksen AB, von Plessen C. Sustainability of healthcare improvement: what can we learn from learning theory? BMC Health Serv Res. 2012;12:235.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Ilott I, Gerrish K, Eltringham SA, Taylor C, Pownall S. Exploring factors that influence the spread and sustainability of a dysphagia innovation: an instrumental case study. BMC Health Serv Res. 2016;16(1):406.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Jangland E, Gunningberg L. Improving patient participation in a challenging context: a 2-year evaluation study of an implementation project. J Nurs Manag. 2017;25(4):266–75.

    Article  PubMed  Google Scholar 

  51. Matthew-Maich N, Ploeg J, Dobbins M, Jack S. Supporting the uptake of nursing guidelines: what you really need to know to move nursing guidelines into practice. Worldviews Evid-Based Nurs. 2013;10(2):104–15.

    Article  PubMed  Google Scholar 

  52. Mazzocato PH, Holden RJ, Brommels M, Aronsson H, Bäckman U, Elg M, et al. How does lean work in emergency care? A case study of a lean-inspired intervention at the Astrid Lindgren Children’s hospital, Stockholm, Sweden. BMC Health Serv Res. 2012;12:28.

    Article  PubMed  PubMed Central  Google Scholar 

  53. McClung L. Health care worker perspectives of their motivation to reduce hospital-acquired infections. J Investig Med. 2017;65(4):824.

    Google Scholar 

  54. Mitchell SE, Weigel GM, Laurens V, Martin J, Jack BW. Implementation and adaptation of the re-engineered discharge (RED) in five California hospitals: a qualitative research study. BMC Health Serv Res. 2017;17(1):291.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Naldemirci O, Wolf A, Elam M, Lydahl D, Moore L, Britten N. Deliberate and emergent strategies for implementing person-centred care: a qualitative interview study with researchers, professionals and patients. BMC Health Serv Res. 2017;17(1):527.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Nordmark S, Zingmark K, Lindberg I. Process evaluation of discharge planning implementation in healthcare using normalization process theory. BMC Med Inform Decis Mak. 2016;16:48.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Parand A, Benn J, Burnett S, Pinto A, Vincent C. Strategies for sustaining a quality improvement collaborative and its patient safety gains. Int J Qual Health Care. 2012;24(4):380–90.

    Article  PubMed  Google Scholar 

  58. Robert G, Morrow E, Maben J, Griffiths P, Callard L. The adoption, local implementation and assimilation into routine nursing practice of a national quality improvement programme: the productive Ward in England. J Clin Nurs. 2011;20(7–8):1196–207.

    Article  PubMed  Google Scholar 

  59. Rotteau L, Webster F, Salkeld E, Hellings C, Guttmann A, Vermeulen MJ, et al. Ontario's emergency department process improvement program: the experience of implementation. Acad Emerg Med. 2015;22(6):720–9.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Sanchez SH, Sethi SS, Santos SL, Boockvar K. Implementing medication reconciliation from the planner's perspective: a qualitative study. BMC Health Serv Res. 2014;14:290.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Stacey D, Vandemheen KL, Hennessey R, Gooyers T, Gaudet E, Mallick R, et al. Implementation of a cystic fibrosis lung transplant referral patient decision aid in routine clinical practice: an observational study. Implement Sci. 2015;10(1):17.

    Article  PubMed  PubMed Central  Google Scholar 

  62. White CM, Schoettker PJ, Conway PH, Geiser M, Olivea J, Pruett R, et al. Utilising improvement science methods to optimise medication reconciliation. BMJ Qual Saf. 2011;20(4):372–80.

    Article  PubMed  Google Scholar 

  63. Shediac-Rizkallah MC, Bone LR. Planning for the sustainability of community-based health programs: conceptual frameworks and future directions for research, practice and policy. Health Educ Res. 1998;13(1):87–108.

    Article  CAS  PubMed  Google Scholar 

  64. Scheirer MA. Is sustainability possible? A review and commentary on empirical studies of program sustainability. Am J Eval. 2005;26(3):320–47.

    Article  Google Scholar 

  65. The Sure Collaboration. SURE guides for preparing and using evidence-based policy briefs: 5 identifying and addressing barriers to implementing policy options v2.1; 2011.

    Google Scholar 

  66. Lawton R, McEachan RR, Giles SJ, Sirriyeh R, Watt IS, Wright J. Development of an evidence-based framework of factors contributing to patient safety incidents in hospital settings: a systematic review. BMJ Qual Saf. 2012;21(5):369–80.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Critical Appraisal Skills Programme Checklists [https://casp-uk.net/#!casp-tools-checklists/c18f8].

  68. Pluye P, Gagnon MP, Griffiths F, Johnson-Lafleur J. A scoring system for appraising mixed methods research, and concomitantly appraising qualitative, quantitative and mixed methods primary studies in mixed studies reviews. Int J Nurs Stud. 2009;46(4):529–46.

    Article  PubMed  Google Scholar 

  69. Standards for QUality Improvment Reporting Excellence [http://www.squire-statement.org/].

  70. Nadalin Penno L, Davies B, Graham ID, Backman C, MacDonald I, Bain J, et al. Identifying relevant concepts and factors for the sustainability of evidence-based practices within acute care contexts: a systematic review and theory analysis of selected sustainability frameworks. Implement Sci. 2019;14(1):108.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Campbell R, Pound P, Morgan M, Daker-White G, Britten N, Pill R, et al. Evaluating meta-ethnography: systematic analysis and synthesis of qualitative research. Health Technol Assess. 2011;15(43):1–164.

    Article  CAS  PubMed  Google Scholar 

  72. Booth A. Searching for qualitative research for inclusion in systematic reviews: a structured methodological review. Syst Rev. 2016;5:74.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

University of Stirling for providing financial support for open access costs.

Funding

This review was funded by the Chief Scientist Office, grant number GCA/17/26.

JC, PC and EAD are employed by the Nursing, Midwifery and Allied Health Professions Research Unit, which is funded by the Chief Scientist Office in Scotland.

Author information

Authors and Affiliations

Authors

Contributions

JC: Conceptualisation, Funding acquisition, Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review and editing. AN: Data curation, Formal analysis, Investigation, Methodology, Writing – review and editing. EDD: data curation, formal analysis, investigation, methodology, Writing – review and editing. PC: Funding acquisition, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review and editing. EAD: Conceptualisation, Funding acquisition, Writing – review and editing. All authors provided critical revision of the paper. All authors have approved the final version of the paper.

Corresponding author

Correspondence to Julie Cowie.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

None to declare.

Additional information

Publisher’s Note

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

Supplementary information

Additional file 1.

Search string example.

Additional file 2.

Selection criteria.

Additional file 3.

Summary of methods used in the included studies.

Additional file 4.

Summary of the interventions or programmes delivered.

Additional file 5.

Methodological quality assessment for qualitative studies.

Additional file 6.

Methodological quality assessment for mixed method design studies.

Additional file 7.

Methodological quality assessment for quality improvement studies.

Additional file 8.

Table of included studies mapped to Moore (2017) definition of sustainability.

Additional file 9.

Key examples of barriers and facillitators within Initiative design and delivery.

Additional file 10.

Key examples of barriers and facilitators identified within the Negotiating initiative processes theme.

Additional file 11.

Key examples of barriers and facilitators identified within the people involved theme.

Additional file 12.

Key examples of barriers and facilitators identified within the Resources theme.

Additional file 13.

Key examples of barriers and facilitators identified within the organisational setting theme.

Additional file 14.

Key examples of barriers and facilitators identified within the external environment theme.

Additional file 15.

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

Cowie, J., Nicoll, A., Dimova, E.D. et al. The barriers and facilitators influencing the sustainability of hospital-based interventions: a systematic review. BMC Health Serv Res 20, 588 (2020). https://doi.org/10.1186/s12913-020-05434-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12913-020-05434-9

Keywords