SynthesisBMJ simulation & technology enhanced learning2021
Simulation training in non-cancer palliative care for healthcare workers: a systematic review of controlled studies.
Synthesis in BMJ simulation & technology enhanced learning, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Identifying Research Priorities in Digital Education for Health Care: Umbrella Review and Modified Delphi Method Study.Journal of medical Internet research · 2025Pooled it
- Trial
- Towards quality indicators in palliative care education: An umbrella review.Palliative care and social practice · 2026Review
- Building Palliative Care Capacity for Generalist Providers in the Community: Results From the Capaciti Pilot Education Program.The American journal of hospice & palliative care · 2023Article
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 at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The need for healthcare workers (HCWs) to have skills and knowledge in non-cancer palliative care has been recognised. Simulation is increasingly being used for palliative care training, offering participants the opportunity to learn in a realistic environment and fully interactive way. Objective: The aim of this systematic review was to summarise and critically appraise controlled studies on simulation training in non-cancer palliative care for HCWs. Selection: Medline, CINAHL, PubMed and Cochrane Library databases were searched using palliative care and simulation terms. Randomised controlled trials (RCTs), non-randomised RCTs and controlled before-and-after (CBA) studies were included. Two reviewers independently screened titles and abstracts and undertook full article review using predefined selection criteria. Studies that met the inclusion criteria had data extracted and risk of bias assessed using the Cochrane Effective Practice and Organisation of Care risk of bias criteria. Findings: Five articles were included: three RCTs and two CBA studies. All studies assessed learners' palliative care communication skills, most studies evaluated learners' perception of change in skills and one study assessed impact on patient outcomes and learners' change in behaviour when applied in practice. There was variation in intervention content, intensity and duration, outcome measures and study design, making it difficult to compare and synthesise results. Conclusion: There is a paucity of evidence to support simulation training to improve non-cancer palliative care. This review highlights the need for more robust research, including multicentre studies that use standardised outcome measures to assess clinician skills, changes in clinical practice and patient-related outcomes.
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.