ArticleBMJ open2024
Prioritising nurses' and doctors' health at work: a scoping review of monitoring instruments.
Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Healthcare workers' sustainable employability in relation to quality of care: an umbrella review.BMJ open · 2025Pooled it
- A core outcome set for the wellbeing of healthcare professionals: an international Delphi consensus study.EClinicalMedicine · 2026Article
- Article
- Effectiveness of organization-directed interventions on healthcare professionals' well-being: a systematic review.EClinicalMedicine · 2025Article
- Article
- Effectiveness of the mood shifter ball intervention on stress and burnout among nurses.Journal of education and health promotion · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveNurses' and doctors' health at work is crucial for their overall performance and the quality of care they provide. The Jobs Demands Resources (JD-R) model offers a framework for health at work, encompassing 'job demands', 'job resources', 'personal resources', 'leadership', 'well-being' and 'outcomes'. While various instruments exist to measure health, an overview of instruments specifically designed for assessing nurses and doctors health is currently missing. This study provides a comprehensive overview of available health instruments specifically developed and validated for healthcare professionals in hospital care.
designScoping review. DATA SOURCES: MEDLINE, Embase and CINAHL. ELIGIBILITY CRITERIA: Studies assessing the health of nurses and/or doctors in hospitals using or evaluating instruments based on the JD-R model, published between January 2011 and January 2024, excluding student-exclusive samples. DATA EXTRACTION AND SYNTHESIS: We extracted data on study and sample characteristics, as well as details of the measurement instruments, including main and subconstructs. Instruments were categorised based on the JD-R model domains. Descriptive analysis and data visualisation were performed using Excel and Python.
resultsWe included 1204 studies, reporting 986 unique instruments. We identified 32 comprehensive instruments suitable for broad health screening, measuring four or more of the JD-R model domains. Additionally, we identified instruments focusing on specific domains for targeted screening needs. Furthermore, we present frequently reported instruments assumed to be extensively evaluated, user-friendly, accessible and available in multiple languages.
conclusionsHealth at work cannot be determined by a single instrument alone, underscoring the multidimensional nature of workplace health. Alternatively, organisations should select instruments based on domains most relevant and applicable to their context. This approach ensures a more comprehensive assessment of health at work.
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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.