Nurse Motivation, Engagement and Well-Being before an Electronic Medical Record System Implementation: A Mixed Methods Study.
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SUBMITTER: Jedwab RM
PROVIDER: S-EPMC7967448 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:IntroductionElectronic medical record (EMR) systems are used worldwide as repositories for patients' clinical information, providing clinical decision support and increasing visibility of and access to clinical information. While EMR systems facilitate improved healthcare delivery, emerging reports suggest potential detrimental effects on clinician well-being. EMR system implementation influences on nurses' work motivation, engagement, satisfaction and well-being (including burnout) are not well understood, nor have they been examined in relation to contextual factors and mechanisms of action. This paper presents a realist review protocol to examine causal explanations to address the question: How, why and under what circumstances does the implementation of a new hospital EMR system or similar technology impact nurses' work motivation, engagement, satisfaction or well-being?Methods and analysisThe five-step method for realist review will be used to identify causal relationships, how the relationships work, for whom and under what circumstances: (1) defining the review scope; (2) developing initial program theories; (3) searching the evidence; (4) selecting and appraising the evidence; (5) extracting and synthesising the data. Initial program theories were developed using scoping review findings and qualitative data collected from nurses pre-EMR and post-EMR. Five databases will be systematically searched from 1 January 2000 to 31 October 2021 (APA PsycInfo, CINAHL, Embase, IEEE Xplore and MEDLINE Complete), and forward and backward citation searching, grey literature searching and literature recommended by the research team. Search results will be screened by two research team members. Data extracted will assist in refining program theories to develop a conceptual model that synthesises how work motivation, engagement, satisfaction and well-being may influence, or be influenced by, an EMR implementation.Ethics and disseminationThe larger project has previously obtained low-risk ethics approval. The review will be published in a peer-reviewed journal and reported as per RAMESES guidelines.Prospero registration numberCRD42020131875.
| S-EPMC8499349 | biostudies-literature
Project description:ObjectiveAlthough nurses comprise the largest group of health professionals and electronic health record (EHR) user base, it is unclear how EHR use has affected nurse well-being. This systematic review assesses the multivariable (ie, organizational, nurse, and health information technology [IT]) factors associated with EHR-related nurse well-being and identifies potential improvements recommended by frontline nurses.Materials and methodsWe searched MEDLINE, Embase, CINAHL, PsycINFO, ProQuest, and Web of Science for literature reporting on EHR use, nurses, and well-being. A quality appraisal was conducted using a previously developed tool.ResultsOf 4583 articles, 12 met inclusion criteria. Two-thirds of the studies were deemed to have a moderate or low risk of bias. Overall, the studies primarily focused on nurse- and IT-level factors, with 1 study examining organizational characteristics. That study found worse nurse well-being was associated with EHRs compared with paper charts. Studies on nurse-level factors suggest that personal digital literacy is one modifiable factor to improving well-being. Additionally, EHRs with integrated displays were associated with improved well-being. Recommendations for improving EHRs suggested IT-, organization-, and policy-level solutions to address the complex nature of EHR-related nurse well-being.ConclusionsThe overarching finding from this synthesis reveals a critical need for multifaceted interventions that better organize, manage, and display information for clinicians to facilitate decision making. Our study also suggests that nurses have valuable insight into ways to reduce EHR-related burden. Future research is needed to test multicomponent interventions that address these complex factors and use participatory approaches to engage nurses in intervention development.
| S-EPMC8200260 | biostudies-literature
Project description:ObjectivesPain may decrease well-being in older adults by limiting social and leisure activities. However, some activities can exacerbate pain. We hypothesized that autonomously motivated goal engagement could ameliorate negative effects of pain on goal engagement and amplify positive effects of goal engagement on eudemonic well-being (EWB).MethodsMidlife and older women (N = 200) were oversampled for chronic pain. Daily diaries (n = 10,697) including goal lists and ratings, pain, and EWB were completed for 7 days every 3 months for 2 years.ResultsPain was not a correlate of goal engagement. More engagement was associated with higher EWB when motivation was autonomous. However, more goal engagement correlated with lower EWB the next day and, when not autonomously motivated, higher pain.DiscussionGoal engagement can benefit people with or without physical pain, but the motivation behind goal engagement is equally if not more important. Goals motivated by autonomous sources increase EWB and may protect against maladaptive patterns of activity associated with pain.
| S-EPMC8893138 | biostudies-literature
Project description:BackgroundHealthcare literature suggests that leadership behavior has a profound impact on nurse work-related well-being. Yet, more research is needed to better conceptualize, measure, and analyse the concepts of leadership and well-being, and to understand the psychological mechanisms underlying this association. Combining Self-Determination and Job Demands-Resources theory, this study aims to investigate the association between engaging leadership and burnout and work engagement among nurses by focusing on two explanatory mechanisms: perceived job characteristics (job demands and resources) and intrinsic motivation.MethodsA cross-sectional survey of 1117 direct care nurses (response rate = 25%) from 13 general acute care hospitals in Belgium. Validated instruments were used to measure nurses' perceptions of engaging leadership, burnout, work engagement, intrinsic motivation and job demands and job resources. Structural equation modeling was performed to test the hypothesised model which assumed a serial mediation of job characteristics and intrinsic motivation in the relationship of engaging leadership with nurse work-related well-being.ResultsConfirmatory factor analysis indicated a good fit of the measurement model. The findings offer support for the hypothesized model, indicating that engaging leadership is linked to enhanced well-being, as reflected in increased work engagement, and reduced burnout. The results further showed that this association is mediated by nurses' perceptions of job resources and intrinsic motivation. Notably, while job demands mediated the relationship between EL and nurses' well-being, the relationship became unsignificant when including intrinsic motivation as second mediator.ConclusionsEngaging leaders foster a favourable work environment for nursing staff which is not only beneficial for their work motivation but also for their work-related well-being. Engaging leadership and job resources are modifiable aspects of healthcare organisations. Interventions aimed at developing engaging leadership behaviours among nursing leaders and building job resources will help healthcare organisations to create favourable working conditions for their nurses.Trial registrationThe study described herein is funded under the European Union's Horizon 2020 Research and Innovation programme from 2020 to 2023 (Grant Agreement 848031). The protocol of Magnet4Europe is registered in the ISRCTN registry (ISRCTN10196901).
| S-EPMC10788988 | biostudies-literature
Project description:BackgroundHigh expectations have been set for the implementations of health information systems (HIS) in health care. However, nurses have been dissatisfied after implementations of HIS. In particular, poorly functioning electronic health records (EHRs) have been found to induce stress and cognitive workload. Moreover, the need to learn new systems may require considerable effort from nurses. Thus, EHR implementations may have an effect on the well-being of nurses.ObjectiveThis study aimed to examine the associations of EHR-to-EHR implementations and the sufficiency of related training with perceived stress related to information systems (SRIS), time pressure, and cognitive failures among registered nurses. Moreover, we examined the moderating effect of the employment sector (hospital, primary care, social services, and others) on these associations.MethodsThis study was a cross-sectional survey study of 3610 registered Finnish nurses in 2020. EHR implementation was measured by assessing whether the work unit of each respondent had implemented or will implement a new EHR (1) within the last 6 months, (2) within the last 12 months, (3) in the next 12 months, and (4) at no point within the last 12 months or in the forthcoming 12 months. The associations were examined using analyses of covariance adjusted for age, gender, and employment sector.ResultsThe highest levels of SRIS (adjusted mean 4.07, SE 0.05) and time pressure (adjusted mean 4.55, SE 0.06) were observed among those who had experienced an EHR implementation within the last 6 months. The lowest levels of SRIS (adjusted mean 3.26, SE 0.04), time pressure (adjusted mean 4.41, SE 0.05), and cognitive failures (adjusted mean 1.84, SE 0.02) were observed among those who did not experience any completed or forthcoming implementations within 12 months. Nurses who perceived that they had received sufficient implementation-related training experienced less SRIS (F1=153.40, P<.001), time pressure (F1=80.95, P<.001), and cognitive failures (F1=34.96, P<.001) than those who had received insufficient training. Recent implementations and insufficient training were especially strongly associated with high levels of SRIS in hospitals.ConclusionsEHR implementations and insufficient training related to these implementations may endanger the well-being of nurses and even lead to errors. Thus, it is extremely important for organizations to offer comprehensive training before, during, and after implementations. Moreover, easy-to-use systems that allow transition periods, a re-engineering approach, and user involvement may be beneficial to nurses in the implementation process. Training and other improvements would be especially important in hospitals.
| S-EPMC8738988 | biostudies-literature
Project description:BackgroundIntensive care unit (ICU) nurses experience high levels of burnout related to the high-stress environment. Management of electronic health records (EHR) is a contributing factor to physician burnout. However, limited research has established the relationship between the nurse's well-being and EHR use.ObjectiveThe objective of this study was to examine the association between EHR use and the well-being of nurses.MethodsWe surveyed registered nurses employed at a major Southeastern medical center in the United States about their demographics, experience with EHRs, satisfaction with EHRs, and elements of well-being. The correlation between subgroup demographics and survey questions was examined using Kendall and Fisher tests.ResultsA total of 113 ICU registered nurses responded to the survey, of which 93 (82.3%) were females. The population had a mean age of 35.18 years (SD 10.65). A significant association was found between satisfaction and well-being scores, where higher EHR satisfaction was associated with higher self-reported well-being (correlation 0.35, P<.001). Nurses who were unhappy with the time spent in EHR use compared with direct patient care reported higher levels of stress (P<.001) and isolation (P=.009). Older nurses reported higher dissatisfaction with the amount of time spent on EHR tasks related to direct patient care compared to younger nurses (P<.001).ConclusionsAlthough nurses reported acceptable satisfaction scores with EHR use, deeper analysis suggests that EHR indirectly affects the well-being of nurses. These findings strongly indicate that lower EHR satisfaction can impact the well-being of nurses. More research is needed to optimize the nurse-EHR experience through more user-centered design approaches.
| S-EPMC8279435 | biostudies-literature
Project description:BackgroundUnderstanding association between factors related to clinical work environment and well-being can inform strategies to improve physicians' work experience.ObjectiveTo model and quantify what drivers of work composition, team structure, and dynamics are associated with well-being.DesignUtilizing social network modeling, this cohort study of physicians in an academic health center examined inbasket messaging data from 2018 to 2019 to identify work composition, team structure, and dynamics features. Indicators from a survey in 2019 were used as dependent variables to identify factors predictive of well-being.ParticipantsEHR data available for 188 physicians and their care teams from 18 primary care practices; survey data available for 163/188 physicians.Main measuresArea under the receiver operating characteristic curve (AUC) of logistic regression models to predict well-being dependent variables was assessed out-of-sample.Key resultsThe mean AUC of the model for the dependent variables of emotional exhaustion, vigor, and professional fulfillment was, respectively, 0.665 (SD 0.085), 0.700 (SD 0.082), and 0.669 (SD 0.082). Predictors associated with decreased well-being included physician centrality within support team (OR 3.90, 95% CI 1.28-11.97, P=0.01) and share of messages related to scheduling (OR 1.10, 95% CI 1.03-1.17, P=0.003). Predictors associated with increased well-being included higher number of medical assistants within close support team (OR 0.91, 95% CI 0.83-0.99, P=0.05), nurse-centered message writing practices (OR 0.89, 95% CI 0.83-0.95, P=0.001), and share of messages related to ambiguous diagnosis (OR 0.92, 95% CI 0.87-0.98, P=0.01).ConclusionsThrough integration of EHR data with social network modeling, the analysis highlights new characteristics of care team structure and dynamics that are associated with physician well-being. This quantitative methodology can be utilized to assess in a refined data-driven way the impact of organizational changes to improve well-being through optimizing team dynamics and work composition.
| S-EPMC9640486 | biostudies-literature
Project description:ObjectiveThe study sought to synthesize published literature on direct care nurses' use of workarounds related to the electronic health record.Materials and methodsWe conducted an integrative review of qualitative and quantitative peer-reviewed research through a structured search of Academic Search Complete, EBSCO Cumulative Index of Nursing and Allied Health Literature (CINAHL), Embase, Engineering Village, Ovid Medline, Scopus, and Web of Science. We systematically applied exclusion rules at the title, abstract, and full article stages and extracted and synthesized their research methods, workaround classifications, and probable causes from articles meeting inclusion criteria.ResultsOur search yielded 5221 results. After removing duplicates and applying rules, 33 results met inclusion criteria. A total of 22 articles used qualitative approaches, 10 used mixed methods, and 1 used quantitative methods. While researchers may classify workarounds differently, they generally fit 1 of 3 broad categories: omission of process steps, steps performed out of sequence, and unauthorized process steps. Each study identified probable causes, which included technology, task, organizational, patient, environmental, and usability factors.ConclusionsExtensive study of nurse workarounds in acute settings highlights the gap in ambulatory care research. Despite decades of electronic health record development, poor usability remains a key concern for nurses and other members of care team. The widespread use of workarounds by the largest group of healthcare providers subverts quality health care at every level of the healthcare system. Research is needed to explore the gaps in our understanding of and identify strategies to reduce workaround behaviors.
| S-EPMC7647365 | biostudies-literature
Project description:BackgroundThere is growing evidence suggesting that the emotional well-being of the public has been negatively affected in the past year. Consequently, demand for well-being support has increased. Although there is substantial empirical support for mental health apps that target diagnosed conditions, there is less research on emotional well-being apps. Among existing well-being apps, few studies have been conducted on apps that are based on lived experience and those that seek to enhance users' understanding of their emotional patterns. Thus, the acceptability of these novel apps requires further evaluation before upscaling.ObjectiveThis evaluation aims to describe the acceptability, engagement, and preliminary outcomes of using an app (Paradym) designed to promote emotional well-being and positive mental health.MethodsThis is a pre-post, mixed-methods, single-arm evaluation that is aggregated with digital analytics data. We anonymously collected real-world data on the demographics and well-being of the participants as well as the usability and acceptance of the app using validated questionnaires and open-ended questions. Participants tested the app for a minimum of 2 weeks before completing the follow-up measures. Google Analytics was used to record the level of app engagement. Chi-square and 2-tailed t tests were conducted to analyze quantitative data, and a thematic analysis approach was adopted for qualitative data.ResultsA total of 115 participants completed baseline questionnaires, of which 79.1% (91/115) users downloaded the app. The sample was diverse in terms of ethnicity, including 43.4% (50/115) people who self-identified as belonging to minority ethnic groups. Most of the participants were female (78/115, 67.8%) and between the ages of 18 and 25 years (39/115, 33.9%). A total of 34 app users who completed questionnaires at baseline and follow-up provided valuable feedback to inform the future directions of Paradym. Favorable themes emerged describing the app's content, functionality, and underlying principles. Although usability feedback varied across items, a considerable number of participants (22/34, 64%) found that the app was easy to use. Google Analytics revealed that at least 79% (27/34) of people used the app daily. On the basis of preliminary observations, app users experience increased mental well-being. Post hoc analyses indicated that the reduction in depression scores (t33=-2.16) and the increase in the well-being measures (t33=2.87) were statistically significant. No adverse events were reported during the follow-up period.ConclusionsThe findings of this evaluation are encouraging and document positive preliminary evidence for the Paradym app.
| S-EPMC8593799 | biostudies-literature
Project description:BackgroundRates of clinically elevated depressive symptoms among ambulatory oncology patients are higher than in the general population and are associated with poorer health-related quality of life. Furthermore, a reduction in depressive symptoms may be associated with improved cancer survival. Several interventions have demonstrated efficacy in reducing oncologic depressive symptoms, including cognitive-behavioral stress management (CBSM). However, more work is needed to understand how to best implement CBSM into practice, such as through stepped-care approaches and digital health interventions linked to electronic health records (EHR). This manuscript presents the protocol of the My Well-Being Guide study, a pragmatic type 1 effectiveness-implementation hybrid study. This trial will test the effectiveness of My Well-Being Guide, a seven-week structured, CBSM-based digital health intervention designed to reduce depressive symptoms. This trial will also evaluate My Well-Being Guide's implementation across two health systems.MethodsThe final sample (N = 4561) will be oncology patients at Northwestern Medicine or University of Miami Health System who are ≥18 years of age; have a cancer diagnosis; elevated depressive symptoms on the Patient-Reported Outcomes Measurement Information System Depression; and primary language is English or Spanish. Data collection will occur at baseline, and 2-, 6-, and 12-months post baseline. Outcome domains include depressive symptoms and implementation evaluation.DiscussionThis study may provide valuable data on the effectiveness of our depressive symptom management digital health intervention linked to the EHR and the scalability of digital health interventions in general.
| S-EPMC10846504 | biostudies-literature