ArticleBMJ open quality2024
Developing a customised set of evidence-based quality indicators for measuring workplace violence towards healthcare workers: a modified Delphi method.
Article in BMJ open quality, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- From silenced shock to strategic resilience: a longitudinal qualitative study of nurse residents' trajectory in coping with patient verbal abuse.Frontiers in psychology · 2026Article
- Quality improvement project to transition psychosocial oncology clinical care to a telehealth workflow during the COVID-19 pandemic: a quasi-experimental study.BMC health services research · 2025Article
- Exploring the Impact of Workplace Violence in Urban Emergency Departments: A Qualitative Study.Healthcare (Basel, Switzerland) · 2025Article
- Understanding and measuring workplace violence in healthcare: a Canadian systematic framework to address a global healthcare phenomenon.BMC emergency medicine · 2025Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWorkplace violence (WPV) is a complex global challenge in healthcare that can only be addressed through a quality improvement initiative composed of a complex intervention. However, multiple WPV-specific quality indicators are required to effectively monitor WPV and demonstrate an intervention's impact. This study aims to determine a set of quality indicators capable of effectively monitoring WPV in healthcare.
methodsThis study used a modified Delphi process to systematically arrive at an expert consensus on relevant WPV quality indicators at a large, multisite academic health science centre in Toronto, Canada. The expert panel consisted of 30 stakeholders from the University Health Network (UHN) and its affiliates. Relevant literature-based quality indicators which had been identified through a rapid review were categorised according to the Donabedian model and presented to experts for two consecutive Delphi rounds.
results87 distinct quality indicators identified through the rapid review process were assessed by our expert panel. The surveys received an average response rate of 83.1% in the first round and 96.7% in the second round. From the initial set of 87 quality indicators, our expert panel arrived at a consensus on 17 indicators including 7 structure, 6 process and 4 outcome indicators. A WPV dashboard was created to provide real-time data on each of these indicators.
conclusionsUsing a modified Delphi methodology, a set of quality indicators validated by expert opinion was identified measuring WPV specific to UHN. The indicators identified in this study were found to be operationalisable at UHN and will provide longitudinal quality monitoring. They will inform data visualisation and dissemination tools which will impact organisational decision-making in real time.
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