ArticleBMJ open2025
Effects of interventions aimed at improving nurses' work engagement in the workplace: a systematic review and meta-analysis protocol.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Organisational and Team-Level Strategies to Enhance Work Engagement and Mitigate Burnout Among Nurse Case Managers: A Global Scoping Review with Implications for the Gulf Region.Nursing reports (Pavia, Italy) · 2026Review
- Work Engagement Among Advanced Practice Nurses (APNs) in Japan: The Role of Supervisory and Organizational Support.International nursing review · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionWork engagement enhances nurses' physical and mental health, well-being, job performance and satisfaction. This reduces turnover rates and improves patient care quality, making work engagement a crucial factor in the nursing workplace. However, no systematic review or meta-analysis has explored the effects of randomised controlled trial (RCT) interventions aimed at improving nurses' work engagement. This study aimed to evaluate the effectiveness of these interventions, providing healthcare organisations with evidence-based recommendations for enhancing work engagement among nurses. METHODS AND ANALYSIS: This systematic review and meta-analysis will use the PICO criteria: (P) nurses, (I) psychosocial interventions, (C) no intervention or non-work engagement interventions and (O) work engagement as a primary outcome. Published studies will be searched by September 2025 using databases such as the Cochrane Central Register of Controlled Trials, PubMed (MEDLINE), Embase, CINAHL, PsycINFO, PsycARTICLES and the Japan Medical Abstracts Society. Eligible studies must use RCT designs, assess the impact of interventions on nurses' work engagement and provide adequate data (sample sizes, means and SDs) to calculate effect sizes with 95% CIs. Publications must be written in English or Japanese as original articles. Two reviewers will independently select studies and assess the risk of bias. The methodological quality of the included studies will be evaluated using the Grading of Recommendation Assessment, Development and Evaluation approach. A meta-analysis will be conducted for statistical synthesis and publication bias will be assessed using Egger's test and a visual funnel plot. Heterogeneity will be evaluated using Q statistics. ETHICS AND DISSEMINATION: This systematic review and meta-analysis are based on existing studies and do not require ethical approval. The findings will be shared through publications in peer-reviewed international journals and presentations at relevant conferences, symposia and seminars. PROSPERO REGISTRATION NUMBER: CRD42024510479.
Indexed as
Identifiers
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.