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The information system stress, informatics competence and well-being of newly graduated and experienced nurses: a cross-sectional study
BMC Health Services Research volume 21, Article number: 1096 (2021)
The use of information systems takes up a significant amount of nurses’ daily working time. Increased use of the systems requires nurses to have adequate competence in nursing informatics and is known to be a potential source of stress. However, little is known about the role of nursing informatics competence and stress related to information systems (SRIS) in the well-being of nurses. Moreover, the potential impact of nurses’ career stage on this matter is unknown. This study examined whether SRIS and nursing informatics competence are associated with stress and psychological distress in newly graduated nurses (NGNs) and experienced nurses.
A cross-sectional study was conducted in Finland between October and December 2018. The participants were NGNs (n = 712) with less than two years of work experience and experienced nurses (n = 1226) with more than two years of work experience. The associations of nursing informatics and SRIS with nurses’ stress and psychological distress were analyzed with linear regression analysis. Analyses were conducted separately for NGNs and experienced nurses. Models were adjusted for age, gender, and work environment.
SRIS was associated with stress / psychological distress for both NGNs (β = 0.26 p < 0.001 / β = 0.22 p < 0.001) and experienced nurses (β = 0.21 p < 0.001/ β = 0.12 p < 0.001). Higher nursing informatics competence was associated with lower stress (β = 0.20 p < 0.001) and psychological distress (β = 0.16 p < 0.001) in NGNs, but not among experienced nurses.
SRIS appears to be an equal source of stress and distress for nurses who are starting their careers and for more experienced nurses, who are also likely to be more experienced users of information systems. However, informatics competence played a more important role among NGNs and a lack of adequate competence seems to add to the strain that is already known to be high in the early stages of a career. It would be important for educational institutions to invest in nursing informatics so that new nurses entering the workforce have sufficient skills to work in increasingly digital health care.
In recent years, the use of information technology has become an integral part of health care. Nurses, among other health care professionals, are required to adopt digital services and information systems as part of patient care [1, 2]. Information systems are expected to provide benefits from both economic and quality-of-care perspectives  but may also have unfavorable consequences for the end-users, such as increased stress and strain from learning and adapting information systems to the workflow [4,5,6,7].
Stress is considered to be a response to a stressful situation, and general measurement of stress symptoms has been widely used to measure well-being at work . Well-being is also often viewed through psychological distress, which refers to a state of emotional suffering associated with demands and stressors that a person finds difficult to deal with in daily life (General Health Questionnaire, GHO, being one of the most widely used and established measurements) [9, 10]. Stress related to information systems (SRIS) refers to the stress caused by poorly functioning or constantly changing information systems . Nurses’ SRIS has so far been little studied  compared with, for example, physicians’. Among physicians, SRIS has steadily increased in recent years , and using information systems with multiple functions has been associated with stress, especially if the work involves high time pressure [13,14,15]. Similarly, with nurses, information systems, such as demanding and detailed documentation in health records, have been found to take more time out of daily work than before [16, 17] and to be a considerable source of stress . Studies have shown that nurses are burdened by the constant need to redefine their nursing expertise to provide care in digital environments . Furthermore, the poor usability of the information systems has been associated with stress  and cognitive strain among nurses [20, 21].
Particularly the first years of professional nursing practice are known to be stressful with a lot of learning and adaptation [22, 23]. Therefore, the use of information systems may be particularly stressful for newly graduated nurses (NGNs). Challenges – such as managing heavy workloads, meeting working life expectations [24,25,26], and gaps in competence [25, 27, 28] – are found to be the main sources of stress for NGNs [22, 29]. In contrast, a higher level of task mastery has been shown to predict lower levels of stress .
Competence in nursing informatics, which refers to the processing of information and integrating information and communication technologies to promote the health of patients or clients [31, 32], has become a prerequisite for nurses’ performance in digitalizing health care [33,34,35]. NGNs entering working life are expected to be sufficiently competent in informatics and ready to use the information systems effectively . However, it has been questioned how well current nursing curricula meet this competence need [37, 38]. Deficiencies have repeatedly been reported in students’ theoretical studies and in opportunities to practice using the systems and nursing informatics before starting working life [36, 39,40,41]. Best practices for teaching and ensuring sufficient informatics competence for nurses are also not clearly identified . Moreover, nurses in different stages of their careers have expressed concerns about the lack of formal training and unrealistic competence expectations regarding information technology [1, 18].
Although the stress of NGNs, and nurses in general, is a widely studied topic [25, 42, 43], little is known about the potential impact of SRIS or nursing informatics competence on nurses’ overall well-being. Moreover, the potential impact of a nurse’s career stage on this matter is unknown. This study examined whether SRIS and nursing informatics competence are associated with stress and psychological distress in NGNs and experienced nurses.
A cross-sectional survey study was conducted in Finland between November and December 2018.
Participants and data collection
The study included two groups of participants. The first group consisted of NGNs (n = 6979) who had up to two years of work experience at the time of the data collection. This group included all nurses who graduated in Finland between 2016 and 2018. The second group consisted of registered nurses with more than two years of work experience (n = 10,000). These nurses were randomly picked from the Finnish Central Register of Valvira (the National Supervisory Authority for Welfare and Health). To obtain approximately equal numbers of respondents for both groups, the sample size of experienced nurses was defined to correspond to the number NGNs (taking into account possible non-response). Of these two groups, we were able to obtain email addresses for 3942 NGNs and 7000 experienced nurses from the register of the Finnish Association of Health and Social Care Professionals. Those whose email address was not obtained were excluded from the study (3037 NGNs and 3000 experienced nurses).
Nurses were invited to participate in the study and were sent a link to the electronic questionnaire via email. The invitation letter contained information on the purpose of the study, the voluntary nature of completing/sending the questionnaire, and the fact that the information will be processed both without identification of the participant and only by the members of the research team. A total of 712 NGNs (response rate: 18 %) and 1226 experienced nurses (response rate: 15 %) responded to the survey after three email reminders were sent.
Stress was measured with a validated single-item measure of stress symptoms : ‘Stress means feeling tense, restless, nervous or anxious or being unable to sleep at night because one’s mind is troubled all the time. Do you feel stressed these days?’ The item was answered on a five-point scale (ranging from 1 = ‘not at all’ to 5 = ‘very much’).
Psychological distress was measured using four items (Cronbach’s alpha: α = 0.86) from the General Health Questionnaire (GHQ) [9, 44] that represent the anxiety/depression factor and is suggested to be the most preferable factor model for GHQ-12 . Previously this measure has been associated with, for example, team climate and patient-related stress [45, 46]. Items, such as ‘have you recently felt constantly under strain?’ were assessed on a four-point scale (ranging from 1 = ‘not at all’ to 4 = ‘a lot more than usually’).
SRIS was measured by two items (α = 0.62) that assessed how often a person has been distracted, worried, or stressed during the last six months about (1) constantly changing information systems and (2) difficult, poorly functioning IT equipment/software  on a five-point scale (ranging from 1 = ‘very rarely or never’ to 5 = ‘very often or constantly’). The measure has been used in studies that have included physicians and has been associated with, for example, psychological distress (Heponiemi et al., 2018; Heponiemi et al., 2019).
Nursing informatics competence
Nursing informatics competence included four competence areas: (1) terminology-based documentation, (2) patient-related digital work, (3) general IT competency, and (4) electronic documentation according to structured national headings (Kinnunen et al., 2019). The participants were asked to evaluate how well they have mastered the following competencies on a five-point scale (ranging from 1 = ‘very poorly’ to 5 = ‘very well’): documentation by using structured national headings (competency 1); supporting the patient to use electronic services (competency 2); basic IT skills (e.g. data security information retrieval, word processing) (competency 3); and electronic documentation of the patient care according to the nursing process (competency 4) (α = 0.73).
Demographic information included age, gender, and the work environment (emergency care, psychiatric and substance abuse services, specialized health care, elderly care, an outpatients department, or some other environment).
The measures used in the study are presented in full in the supplementary material (Supplement 1).
Multiple linear regression was used to examine the associations of SRIS and nursing informatics competence with stress and psychological distress. Analyses were conducted separately for both dependent variables (stress and psychological distress). First, as a preliminary analysis, we tested whether the possible associations of SRIS and informatics competence with stress and distress are different between NGNs and experienced nurses. This was done by combining the data from both nurse groups and included the interaction terms ‘SRIS*nurse group’ and ‘informatics competence*nurse group’ in the models predicting stress and distress. There was a significant interaction effect between nursing informatics competence and the nurse group for stress (p = 0.04) and psychological distress (p = 0.04). Therefore, the analyses were conducted separately for NGNs and experienced nurses. All models were adjusted for age, gender, and work environment. The analyses were conducted using R, version 1.2.1335.
The majority of the nurses were female. NGNs were on average 31 years old and experienced nurses 45 years old. In both groups, specialized health care and elderly care were the most common work environments. Nursing informatics competence was higher (p < 0.001) and SRIS was lower (p < 0.001) among NGNs compared with experienced nurses. The groups did not vary in the level of stress or psychological distress (see Table 1)
The association of SRIS with stress and distress
SRIS was significantly associated with stress and distress in both NGNs and experienced nurses (see Table 2). The higher the nurses’ SRIS, the higher their stress and distress (see Fig. 1).
The association of nursing informatics competence with stress and psychological distress
Nursing informatics competence was associated with stress and distress in NGNs but not in experienced nurses (see Table 2). Lower levels of competence were associated with high levels of stress and distress in NGNs, while in experienced nurses, competence was not associated with stress or distress (see Fig. 2.).
This study examined whether SRIS and nursing informatics competence are associated with stress and psychological distress in NGNs and experienced nurses. Our results showed that high SRIS was associated with high stress and distress in both groups. High nursing informatics competence, in turn, was associated with low levels of stress and distress in NGNs, but not among experienced nurses.
According to our results, SRIS appears to be a source of stress and psychological distress for nurses, regardless of the stage of their career. A previous study by Harris et al. (2018) has similarly found that stress due to electronic health record use may be associated with nurses’ burnout symptoms. Nurses are known to experience stress, especially in the implementation phase of new information systems , and this most likely occurs due to the high workload and lack of time that are typical barriers to the adoption and acceptance of the systems . In our study, the SRIS levels were significantly higher for experienced nurses than for NGNs, but were still at a moderate level in both groups compared with, for example, the SRIS levels for Finnish physicians [14, 15]. Moreover, long experience with the use of information systems has been associated with lower SRIS levels in physicians, not the other way around . The difference in nurses’ SRIS values can be partly explained by the fact that a significant proportion of NGNs represent a generation that is familiar with using a wide range of technologies, both in their studies and in their leisure time . On the other hand, the widespread use of technology (e.g. in social interaction and knowledge sharing) does not directly indicate the ability to use these skills in academic or professional activities exists . Nevertheless, NGNs attitudes and perceived self-efficacy in information and communication technology, and their understanding of its benefits appear to be higher than that of nurses with more experience and age [50, 51]. This may to some extent protect NGNs from SRIS in the workplace, but our results suggest that SRIS still affects their well-being.
Based on the results, a lack of sufficient nursing informatics competence may increase NGNs’ perceived stress and distress. NGNs evaluated themselves to be more competent in nursing informatics than experienced nurses, which is consistent with previous knowledge , although having more experience in the use of health information systems has previously been associated with higher informatics competence among nurses .
Integrating nursing informatics into nursing education has been a mission in many countries, but global and national differences in the use of technologies have made it difficult to determine best teaching practices and ensure the coherence of curricula . This study confirms the need to invest in adequate informatics education as good competence may alleviate the stress and distress in the first years of a nurse’s work. Even though the level of informatics competence was not similarly associated with stress or distress among more experienced nurses, the provision of on-the-job training about informatics would also be extremely important. Previous studies have stated the need to develop, for example, nurses’ competence in using online services in patient care, supporting patients in utilizing these services [1, 53], structured documentation, and basic IT skills . It is worth investing in the development of these competencies as there is repeated evidence of a link between the training received and nurses’ informatics competence [33, 55]. Moreover, the importance of nursing informatics for ensuring the quality of health care is well recognized internationally [56, 57].
So far, research knowledge on the stress caused by poorly functioning and constantly changing information systems is scarce among nurses, making it difficult to compare its potential effects on different health and social care settings and professionals at different career stages or to make international comparisons. As the use of various information systems is likely to increase globally in the future, further research is needed in this regard.
Certain limitations need to be considered when interpreting the results of this study. It should be taken into account that the study used the self-assessment of nursing informatics competencies and not, for example, objective tests that could have shown a different result for the nurses’ competence, and thus could have influenced the results. In addition, SRIS was measured with only two items with a Cronbach’s alpha value that was somewhat low, although still at an acceptable level . The cross-sectional design must also be taken into account as it does not allow establishing a causal association of nursing informatics or SRIS with stress and distress. Although the analyses of the study controlled the age, gender, and work environment of the participants, we are also aware that there are potential confounding factors that may have influenced the associations. Finally, response rates in this study also remained relatively low, which may reduce the generalisability of results. Regarding the response rate, it is not possible to know the number of those who did not receive the email invitation, for example, due to an expired email account or spam filtering, which quite often happens with these email invitations. In addition to non-response, the exclusion of potential participants due to the lack of email addresses increases the possibility of selection bias.
According to this study, poorly functioning, constantly changing information systems can be a substantial source of stress and psychological distress for NGNs as well as more experienced nurses. It is the responsibility of system vendors to further develop information systems to better support the work of healthcare professionals and not to increase their workload and strain. Our findings also suggest that good nursing informatics competence may be especially important for nurses who are starting their career in terms of preventing early career stress and distress, although adequate nursing informatics competence is known to be of the utmost importance and a prerequisite for performing work at any stage in a nurse’s career. It would be very important to take into account the stressors of nurses and invest in their well-being as this might mitigate nurses’ profession changes in a situation where there is already a global shortage of nurses. The tasks in nursing that require information management skills will increase in the future, thus, providing adequate and appropriate support and training in the use of information systems would be very important in both educational institutions and health care organizations.
Availability of data and materials
The datasets used and analysed during the current study are available from the corresponding author on reasonable request.
Newly graduated nurse
Stress related to information systems
Öberg U, Orre CJ, Isaksson U, Schimmer R, Larsson H, Hörnsten Å. Swedish primary healthcare nurses’ perceptions of using digital eH ealth services in support of patient self-management. Scand J Caring Sci 2018;32(2):961–970.
Rouleau G, Gagnon M, Côté J, Payne-Gagnon J, Hudson E, Dubois C. Impact of information and communication technologies on nursing care: results of an overview of systematic reviews. Journal of medical Internet research 2017;19(4):e122.
Buntin MB, Burke MF, Hoaglin MC, Blumenthal D. The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Aff 2011;30(3):464–471.
Bristol AA, Nibbelink CW, Gephart SM, Carrington JM. Nurses’ use of positive deviance when encountering electronic health records-related unintended consequences. Nurs Adm Q 2018;42(1):E1-E11.
Gephart S, Carrington JM, Finley B. A systematic review of nurses’ experiences with unintended consequences when using the electronic health record. Nurs Adm Q 2015;39(4):345–356.
Fleming NS, Culler SD, McCorkle R, Becker ER, Ballard DJ. The financial and nonfinancial costs of implementing electronic health records in primary care practices. Health Aff 2011;30(3):481–489.
Menachemi N, Collum TH. Benefits and drawbacks of electronic health record systems. Risk management and healthcare policy 2011;4:47.
Elo A, Leppänen A, Jahkola A. Validity of a single-item measure of stress symptoms. Scand J Work Environ Health 2003:444–451.
Graetz B. Multidimensional properties of the General Health Questionnaire. Soc Psychiatry Psychiatr Epidemiol 1991;26(3):132–138.
Penninkilampi-Kerola V, Miettunen J, Ebeling H. A comparative assessment of the factor structures and psychometric properties of the GHQ-12 and the GHQ‐20 based on data from a Finnish population‐based sample. Scand J Psychol 2006;47(5):431–440.
Heponiemi T, Hyppönen H, Vehko T, Kujala S, Aalto A, Vänskä J, et al. Finnish physicians’ stress related to information systems keeps increasing: a longitudinal three-wave survey study. BMC medical informatics and decision making 2017;17(1):147.
Harris DA, Haskell J, Cooper E, Crouse N, Gardner R. Estimating the association between burnout and electronic health record-related stress among advanced practice registered nurses. Applied Nursing Research 2018;43:36–41.
Babbott S, Manwell LB, Brown R, Montague E, Williams E, Schwartz M, et al. Electronic medical records and physician stress in primary care: results from the MEMO Study. Journal of the American Medical Informatics Association 2014;21(e1):e100-e106.
Heponiemi T, Hyppönen H, Kujala S, Aalto A, Vehko T, Vänskä J, et al. Predictors of physicians’ stress related to information systems: a nine-year follow-up survey study. BMC health services research 2018;18(1):284.
Heponiemi T, Kujala S, Vainiomäki S, Vehko T, Lääveri T, Vänskä J, et al. Usability Factors Associated With Physicians’ Distress and Information System–Related Stress: Cross-Sectional Survey. JMIR medical informatics 2019;7(4):e13466.
Baumann LA, Baker J, Elshaug AG. The impact of electronic health record systems on clinical documentation times: A systematic review. Health Policy 2018;122(8):827–836.
Moore EC, Tolley CL, Bates DW, Slight SP. A systematic review of the impact of health information technology on nursesâ€™ time. Journal of the American Medical Informatics Association 2020;27(5):798–807.
Chi-Ping Chang, Ting-Ting Lee, Chia-Hui Liu, Mills ME. Nurses’ Experiences of an Initial and Reimplemented Electronic Health Record Use. CIN COMPUT INFORM NURS 2016;34(4):183–190.
Vehko T, Hyppönen H, Puttonen S, Kujala S, Ketola E, Tuukkanen J, et al. Experienced time pressure and stress: electronic health records usability and information technology competence play a role. BMC medical informatics and decision making 2019;19(1):160.
Colligan L, Potts HW, Finn CT, Sinkin RA. Cognitive workload changes for nurses transitioning from a legacy system with paper documentation to a commercial electronic health record. Int J Med Inf 2015;84(7):469–476.
Saitwal H, Feng X, Walji M, Patel V, Zhang J. Assessing performance of an Electronic Health Record (EHR) using Cognitive Task Analysis. International Journal of Medical Informatics 2010;79(7):501–506.
Halpin Y, Terry LM, Curzio J. A longitudinal, mixed methods investigation of newly qualified nurses’ workplace stressors and stress experiences during transition. J Adv Nurs 2017;73(11):2577–2586.
Walker A, Costa BM, Foster AM, de Bruin RL. Transition and integration experiences of Australian graduate nurses: A qualitative systematic review. Collegian 2017;24(5):505–512.
Labrague LJ, McEnroe-Pettite D, Leocadio MC. Transition experiences of newly graduated Filipino nurses in a resource‐scarce rural health care setting: A qualitative study. Nurs Forum 2019 Apr;54(2):298–306.
Labrague LJ, McEnroe-Petitte DM. Job stress in new nurses during the transition period: an integrative review. Int Nurs Rev 2018;65(4):491–504.
Tingleff EB, Rossen CB, Buus N, Poelvoorde TL. A qualitative metasynthesis of psychiatric nurses’ experiences of the transition from being student to being newly qualified. VARD I NORDEN 2016;30(1):45; 1–47; 1.
Kumaran S, Carney M. Role transition from student nurse to staff nurse: facilitating the transition period. Nurse Educ Pract 2014 Nov;14(6):605–611.
Zamanzadeh V, Jasemi M, Valizadeh L, Keogh B, Taleghanis F. Lack of Preparation: Iranian Nurses’ Experiences during Transition from College to Clinical Practice. J Prof Nurs 2015 Jul;31(4):365–373.
Watson R, Gardiner E, Hogston R, Gibson H, Stimpson A, Wrate R, et al. A longitudinal study of stress and psychological distress in nurses and nursing students. J Clin Nurs 2009;18(2):270–278.
Frögéli E, Rudman A, Gustavsson P. The relationship between task mastery, role clarity, social acceptance, and stress: An intensive longitudinal study with a sample of newly registered nurses. International Journal of Nursing Studies 2019;91:60–69.
Staggers N, Gassert CA, Curran C. A Delphi study to determine informatics competencies for nurses at four levels of practice. Nurs Res 2002;51(6):383–390.
Staggers N, Thompson CB. The evolution of definitions for nursing informatics: a critical analysis and revised definition. Journal of the American Medical Informatics Association 2002;9(3):255–261.
Kinnunen U, Heponiemi T, Rajalahti E, Ahonen O, Korhonen T, Hyppönen H. Factors Related to Health Informatics Competencies for Nurses—Results of a National Electronic Health Record Survey. CIN: Computers, Informatics, Nursing 2019;37(8):420–429.
Khezri H, Abdekhoda M. Assessing nurses’ informatics competency and identifying its related factors. Journal of Research in Nursing 2019;24(7):529–538.
T.I.G.E.R. Competencies for Every Practicing Nurse: Recommendations from the TIGER Collaborative. 2011;. Accessed 1.6., 2020.
Shin EH, Cummings E, Ford K. A qualitative study of new graduatesâ€™ readiness to use nursing informatics in acute care settings: clinical nurse educatorsâ€™ perspectives. Contemporary nurse 2018;54(1):64–76.
Teaching Nursing Informatics in Australia, Canada and Denmark. CSHI; 2015.
Foster M, Sethares K. Current strategies to implement informatics into the nursing curriculum: an integrative review. J Nurs Inform 2017;21(3).
Forman TM, Armor DA, Miller AS. A Review of Clinical Informatics Competencies in Nursing to Inform Best Practices in Education and Nurse Faculty Development. Nursing education perspectives 2020;41(1):E3-E7.
Miller L, Stimely M, Matheny P, Pope M, McAtee R, Miller K. Novice nurse preparedness to effectively use electronic health records in acute care settings: Critical informatics knowledge and skill gaps. Online Journal of Nursing Informatics (OJNI) 2014;18(2).
Nwosu JC, John HC, Izang AA, Akorede OJ. Assessment of Information and Communication Technology (ICT) Competence and Literacy Skills among Undergraduates as a Determinant Factor of Academic Achievement. Educational Research and Reviews 2018;13(15):582–589.
Olvera Alvarez HA, Provencio-Vasquez E, Slavich GM, Laurent JGC, Browning M, McKee-Lopez G, et al. Stress and Health in Nursing Students: The Nurse Engagement and Wellness Study. Nurs Res 2019 Nov;68(6):453–463.
Badu E, Oâ€™Brien AP, Mitchell R, Rubin M, James C, McNeil K, et al. Workplace stress and resilience in the Australian nursing workforce: A comprehensive integrative review. International Journal of Mental Health Nursing 2020;29(1):5–34.
Goldberg DP, Gater R, Sartorius N, Ustun TB, Piccinelli M, Gureje O, et al. The validity of two versions of the GHQ in the WHO study of mental illness in general health care. Psychol Med 1997;27(1):191–197.
Aalto A, Heponiemi T, Josefsson K, Arffman M, Elovainio M. Social relationships in physicians’ work moderate relationship between workload and wellbeing—9-year follow-up study. Eur J Public Health 2018;28(5):798–804.
Heponiemi T, Aalto A, Puttonen S, Vänskä J, Elovainio M. Work-related stress, job resources, and well-being among psychiatrists and other medical specialists in Finland. Psychiatric services 2014;65(6):796–801.
Lee T. Nurses’ experiences using a nursing information system: early stage of technology implementation. CIN: Computers, Informatics, Nursing 2007;25(5):294–300.
McGinn CA, Grenier S, Duplantie J, Shaw N, Sicotte C, Mathieu L, et al. Comparison of user groups’ perspectives of barriers and facilitators to implementing electronic health records: a systematic review. BMC medicine 2011;9(1):46.
Montenery SM, Walker M, Sorensen E, Thompson R, Kirklin D, White R, et al. Millennial generation student nursesâ€™ perceptions of the impact of multiple technologies on learning. Nursing education perspectives 2013;34(6):405–409.
Chérrez-Ojeda I, Felix M, Mata VL, Vanegas E, Simancas-Racines D, Aguilar M, et al. Use and perceptions of information and communication technologies among Ecuadorian nurses: a cross-sectional study. The Open Nursing Journal 2020;14(1).
Warshawski S, Itzhaki M, Barnoy S. Nurse and Nurse Student Attitudes and Perceived Self-efficacy in Use of Information and Communication Technologies: Professional and Cultural Differences. CIN: Computers, Informatics, Nursing 2019;37(1):20–28.
De Gagne JC, Bisanar WA, Makowski JT, Neumann JL. Integrating informatics into the BSN curriculum: A review of the literature. Nurse Educ Today 2012;32(6):675–682.
Health Professionals’ Expanding eHealth Competences for Supporting Patients’ Self-Management. MIE; 2018.
Tolonen J, Värri A. Survey of health informatics education in Finland in 2017. Finnish Journal of eHealth and eWelfare 2017;9(2–3):217–231.
Chung SY, Staggers N. Measuring nursing informatics competencies of practicing nurses in Korea: nursing informatics competencies questionnaire. CIN: Computers, Informatics, Nursing 2014;32(12):596–605.
Lin H, Hsu M, Yang C. The influences of computer system success and informatics competencies on organizational impact in nursing environments. CIN: Computers, Informatics, Nursing 2014;32(2):90–99.
Darvish A, Bahramnezhad F, Keyhanian S, Navidhamidi M. The role of nursing informatics on promoting quality of health care and the need for appropriate education. Global journal of health science 2014;6(6):11.
Tavakol M, Dennick R. Making sense of Cronbach’s alpha. Int J Med Educ 2011 Jun 27;2:53–55.
ALL European Academies. The European Code of Conduct for Research Integrity. 2017; Available at: https://ec.europa.eu/research/participants/data/ref/h2020/other/hi/h2020-ethics_code-of-conduct_en.pdf. Accessed October, 2018.
This study was funded by the Strategic Research Council (SRC) of the Academy of Finland (project 327145).
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Ethical approval was provided by the ethics committee of the Finnish Institute for Health and Welfare (THL/253/6.02.01/2018). Informed consent to participate in the study was obtained from each participant. Good research practices based on the principles of research integrity were followed .
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Kaihlanen, AM., Gluschkoff, K., Laukka, E. et al. The information system stress, informatics competence and well-being of newly graduated and experienced nurses: a cross-sectional study. BMC Health Serv Res 21, 1096 (2021). https://doi.org/10.1186/s12913-021-07132-6
- Information systems
- nursing informatics
- newly graduated nurse