ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2018
Evaluation of system mapping approaches in identifying patient safety risks.
Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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Who cites it
12 citing papers in PubMed, 32 citations in OpenAlex.
- Enhancing patient safety in the emergency care of poisoned patients: a participatory systems approach.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026Article
- The Triple-E Model: Advancing Equestrian Research with Perspectives from One Health.Animals : an open access journal from MDPI · 2023Article
- Care transition of trauma patients: Processes with articulation work before and after handoff.Applied ergonomics · 2022Article
- Risk Management Assessments and Recommendations Among Students, Staffs, and Health Care Workers in Educational Biomedical Laboratories.Risk management and healthcare policy · 2021Article
- Work system barriers and facilitators in inpatient care transitions of pediatric trauma patients.Applied ergonomics · 2020Article
- Risk Management in Executive Levels of Healthcare Organizations: Insights from a Scoping Review (2018).Risk management and healthcare policy · 2020Article
- Evaluation of System Modelling Techniques for Waste Identification in Lean Healthcare Applications.Risk management and healthcare policy · 2020Article
- Article
- Evaluating inputs of failure modes and effects analysis in identifying patient safety risks.International journal of health care quality assurance · 2019Article
- Assessment of patient safety measures in governmental hospitals in Al-Baha, Saudi Arabia.AIMS public health · 2019Article
- Systems, design and value-for-money in the NHS: mission impossible?Future healthcare journal · 2018Article
- Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
objectiveWhile many system mapping approaches (SMAs) have been broadly used in safety-critical industries, few have so far been employed in the healthcare field to assist in the identification of patient safety risks. In this study, we evaluated a set of system modelling approaches to assess their potential contribution to the identification of risks affecting patient safety. The aim was to gain a greater understanding of the practical application of system modelling approaches with the help of the risk categorization framework developed in this study.
settingWe conducted this study in a newly established Adult Attention Deficit Hyperactivity Disorder (ADHD) service at Cambridge and Peterborough Foundation Trust. STUDY
participantsEight key stakeholders of the chosen service, including clinicians, managers and administrative staff, were individually asked to evaluate a set of pre-defined six SMAs according to their usefulness in identifying patient safety risks through interview-based questionnaires.
resultsIt was found that each SMA could be useful in the chosen healthcare service in different ways. Further, specific types of diagrams were selected by stakeholders as more useful than others in identifying different sources of risks within the given system.
conclusionsThe results of the evaluation showed that the system diagram is the most useful SMA in risk identification within the given system, while limited time, resources and experience of stakeholders with SMAs may present possible obstacles for their potential use in the healthcare field in future.
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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.