1. ABOUT THE DATASET -------------------- Title: Search strategies and methods for identifying how staff and team characteristics relate to ward safety incidents in adult inpatient mental health settings Creator(s): Katy Greenfield [1], Bethany Griffin [1], Sarah Kendal [1], John Baker [1] Organisation(s): 1. University of Leeds Rights-holder(s):Unless otherwise stated, Copyright 2026 University of Leeds Publication Year: 2026 Description: Search strategies, databases and methods for identifying how staff and team characteristics relate to ward safety incidents in adult inpatient mental health settings for the #StaffedWards project. Cite as: Greenfield, K., Griffin, B., Kendal, S. and Baker, J. (2026) Search strategies and methods for identifying how staff and team characteristics relate to ward safety incidents in adult inpatient mental health settings. University of Leeds. [Dataset] https://doi.org/10.5518/1808 Related publication: Submitted; Katy Greenfield, K.E.Greenfield@leeds.ac.uk, School of Healthcare, University of Leeds, Leeds, UK Bethany Griffin, B.Griffin@leeds.ac.uk, School of Healthcare, University of Leeds, Leeds, UK Sarah Kendal, S.Kendal@leeds.ac.uk, School of Healthcare, University of Leeds, Leeds, UK Samuel Woodnutt, S.Woodnutt@soton.ac.uk, School of Health Sciences, University of Southampton, Hampshire, UK Nutmeg Hallett n.n.hallett@bham.ac.uk, School of Nursing and Midwifery, University of Birmingham, Birmingham, UK Judith Johnson Judith.johnson@manchester.ac.uk, Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK Kathryn Berzins kberzins@uclan.ac.uk, Health Technology Assessment Unit, Applied Health Research Hub, University of Central Lancashire, Preston, UK Chris Bojke C.Bojke@leeds.ac.uk, Faculty of Medicine and Health, University of Leeds, Leeds, UK Max Henderson M.Henderson@leeds.ac.uk, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK Jo Lomani jolomani25@gmail.com, NHS England, Leeds, UK Emma Wadey emma.wadey@nhs.net, Hertfordshire Partnership University NHS Foundation Trust, St. Albans, UK John Baker J.Baker@leeds.ac.uk, School of Healthcare, University of Leeds, Leeds, UK How do staff and team characteristics relate to ward safety incidents in adult inpatient mental health settings? A protocol for a systematic integrative review. BMJ Open 2026 2. TERMS OF USE --------------- Unless otherwise stated, this dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/. 3. PROJECT AND FUNDING INFORMATION ---------------------------------- Title: Establishing the relationship between staff and ward characteristics and patient safety incidents on adult mental health wards - #StaffedWards Dates: July 2025 - December 2027 Funding organisation: NIHR Grant no.:NIHR161588 4. CONTENTS ----------- File listing StaffedWards Search Strategies, Data, Full search strategies for all databases Word version StaffedWards Search Strategies, Data, Full search strategies for all databases plain text version 5. METHODS ---------- Search methodology 6 academic databases were individually searched in August and subsequently in September 2025 looking at staff and team characteristics in relation to safety incidents in mental health inpatient settings. Following some testing the concepts used were: workforce, setting [inpatient mental health] and incidents [both psychological and physical safety, staff and patient]. The decision not to include the concept: staff/team characteristics was taken following database testing. This is an inductive review, to discover what staff characteristics may be involved in incidents on acute mental health wards, and as such we would be limiting our search by our current understanding of what they might be, potentially missing papers which could provide further insight. The search was limited to research from 1999 onwards, and papers that related to older age and children’s psychiatric services were excluded. It excluded Conference Abstracts. The search was not limited by language, and Americanised terms were considered. Subject headings and free text words were identified via the Information Specialist within the team, as well as the wider research team, Co-Applicants and Expert by Experience lead. Terms were also identified through other key papers. The search was tested prior to the finalised strategy against similar reviews and key papers to ensure its effectiveness. It was further refined by the research team. The search was then adapted to run across Ovid, EBSCOhost, Web of Science and Cochrane. A subsequent hand search was also conducted through references within identified papers. Only published literature was searched, grey literature was not in scope. Databases searched: Ovid MEDLINE(R) ALL <1946 to September 08, 2025> Ovid APA PsycInfo <1806 to September 2025 Week 1> Ovid Embase <1996 to 2025 Week 36> EBSCOhost CINAHL Cochrane Web of Science Records found: 25145 records which were imported to Rayyan. Using Rayyan software, 10705 remaining after duplicates were removed.