ArticleBMJ open2023
Evaluating a co-designed care bundle to improve patient safety at discharge from adult and adolescent mental health services (SAFER-MH and SAFER-YMH): protocol for a non-randomised feasibility study.
Article in BMJ open, 2023. 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, 3 citations in OpenAlex.
- SAFER-Dem: generating co-designed adaptations to a discharge care planning bundle for people living with dementia.BMJ open · 2026Article
- Investigating the Applicability of the SAFER-YCL Care Bundle for Transitions From CAMHS Crisis and Liaison Services: The Barriers and Enablers.Health expectations : an international journal of public participation in health care and health policy · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPatients being discharged from inpatient mental wards often describe safety risks in terms of inadequate information sharing and involvement in discharge decisions. Through stakeholder engagement, we co-designed, developed and adapted two versions of a care bundle intervention, the SAFER Mental Health care bundle for adult and youth inpatient mental health settings (SAFER-MH and SAFER-YMH, respectively), that look to address these concerns through the introduction of new or improved processes of care. METHODS AND ANALYSIS: Two uncontrolled before-and-after feasibility studies, where all participants will receive the intervention. We will examine the feasibility and acceptability of the SAFER-MH in inpatient mental health settings in patients aged 18 years or older who are being discharged and the feasibility and acceptability of the SAFER-YMH intervention in inpatient mental health settings in patients aged between 14 and 18 years who are being discharged. The baseline period and intervention periods are both 6 weeks. SAFER-MH will be implemented in three wards and SAFER-YMH in one or two wards, ideally across different trusts within England. We will use quantitative (eg, questionnaires, completion forms) and qualitative (eg, interviews, process evaluation) methods to assess the acceptability and feasibility of the two versions of the intervention. The findings will inform whether a main effectiveness trial is feasible and, if so, how it should be designed, and how many patients/wards should be included. ETHICS AND DISSEMINATION: Ethical approval was obtained from the National Health Service Cornwall and Plymouth Research Ethics Committee and Surrey Research Ethics Committee (reference: 22/SW/0096 and 22/LO/0404). Research findings will be disseminated with participating sites and shared in various ways to engage different audiences. We will present findings at international and national conferences, and publish in open-access, peer-reviewed journals.
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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.