SynthesisJournal of the American Medical Informatics Association : JAMIA2021
Factors associated with nurse well-being in relation to electronic health record use: A systematic review.
Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 40 citations in OpenAlex.
- Utilisation of electronic health record systems in clinical nursing practice in Ghana: predictors, benefits, and challenges.BMC nursing · 2026Article
- The impact of inpatient medication administration technologies on nursing autonomy and practice: a meta-ethnographic synthesis of the qualitative literature.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Improving Nurse Documentation Time via an Electronic Health Record Documentation Efficiency Tool.Applied clinical informatics · 2025Article
- Evolution of Critical Care Cardiology: An Update on Structure, Care Delivery, Training, and Research Paradigms: A Scientific Statement From the American Heart Association.Journal of the American College of Cardiology · 2025Article
- Review
- Mobile apps, AI, and teletherapy: a comprehensive review of digital mental health tools for nurses.Frontiers in public health · 2025Review
- Implementation and delivery of electronic health records training programs for nurses working in inpatient settings: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- The effectiveness of digital solutions in improving nurses' and healthcare professionals' mental well-being: a systematic review and meta-analysis.Journal of research in nursing : JRN · 2024Article
- Creating work-life balance among physicians in the age of digitalization: the role of self-consciousness and communication - a qualitative study.BMC health services research · 2023Article
- Nurses' Attitudes and Factors Affecting Use of Electronic Health Record in Saudi Arabia.Healthcare (Basel, Switzerland) · 2023Article
- A Novel Use of Bar Code Medication Administration Data to Assess Nurse Staffing and Workload.Applied clinical informatics · 2023Article
- Information and Data Visualization Needs among Direct Care Nurses in the Intensive Care Unit.Applied clinical informatics · 2022Article
- Article
- Nurses' Experiences After Implementation of an Organization-Wide Electronic Medical Record: Qualitative Descriptive Study.JMIR nursing · 2022Article
- Change in nurses' psychosocial characteristics pre- and post-electronic medical record system implementation coinciding with the SARS-CoV-2 pandemic: pre- and post-cross-sectional surveys.International journal of medical informatics · 2022Article
- Article
- The association between perceived electronic health record usability and professional burnout among US nurses.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Review
- Electronic Health Record Stress and Burnout Among Clinicians in Hospital Settings: A Systematic Review.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.