ArticleAfrican journal of emergency medicine : Revue africaine de la medecine d'urgence2019
Identifying quality indicators for prehospital emergency care services in the low to middle income setting: The South African perspective.
Article in African journal of emergency medicine : Revue africaine de la medecine d'urgence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Identifying the Challenges of Prehospital Emergency Centers in Providing Care in Wartime and Proposing Strategic Solutions: A Qualitative Study.Health science reports · 2026Article
- Development of a Minimum Dataset for a Prehospital Stroke Emergency Dashboard.Bulletin of emergency and trauma · 2026Article
- Out-of-hospital emergency medical services in Poland: organization, challenges, and modern solutions.Frontiers in public health · 2026Review
- Investigating the barriers to air medical services in accidents and disasters in Iran and suggesting solutions: a qualitative study.BMC research notes · 2024Article
- A resuscitation systems analysis for South Africa: A narrative review.Resuscitation plus · 2024Review
- Exploring the challenges to using telecardiology as perceived by pre-hospital emergency care personnel: a qualitative study.BMC emergency medicine · 2023Article
- Variables required for the audit of quality completion of patient report forms by EMS-A scoping review.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2022Article
- Exploring the challenges to telephone triage in pre-hospital emergency care: a qualitative content analysis.BMC health services research · 2022Article
- Prehospital Airway Management for Trauma Patients by First Responders in Six Sub-Saharan African Countries and Five Other Low- and Middle-Income Countries: A Scoping Review.World journal of surgery · 2022Article
- Out-of-hospital cardiac arrest in Africa: a scoping review.BMJ open · 2022Article
- Evaluating a Novel Prehospital Emergency Trauma Care Assessment Tool (PETCAT) for Low- and Middle-Income Countries in Sierra Leone.World journal of surgery · 2021Article
- Development of quality indicators to measure pre-hospital emergency medical services for road traffic injury.BMC health services research · 2021Article
- Major challenges and barriers in clinical decision-making as perceived by emergency medical services personnel: a qualitative content analysis.BMC emergency medicine · 2021Article
- A Decision Support Method for Prehospital Emergency Care Based on Ranking the Importance of Physiological Variables.Healthcare (Basel, Switzerland) · 2020Article
- Understanding quality systems in the South African prehospital emergency medical services: a multiple exploratory case study.BMJ open quality · 2020Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
introductionHistorically, performance within the Prehospital Emergency Care (PEC) setting has been assessed primarily based on response times. While easy to measure and valued by the public, overall, response time targets are a poor predictor of quality of care and clinical outcomes. Over the last two decades however, significant progress has been made towards improving the assessment of PEC performance, largely in the form of the development of PEC-specific quality indicators (QIs). Despite this progress, there has been little to no development of similar systems within the low- to middle-income country setting. As a result, the aim of this study was to identify a set of QIs appropriate for use in the South African PEC setting.
methodsA three-round modified online Delphi study design was conducted to identify, refine and review a list of QIs for potential use in the South African PEC setting. Operational definitions, data components and criteria for use were developed for 210 QIs for inclusion into the study.
resultsIn total, 104 QIs reached consensus agreement including, 90 clinical QIs, across 15 subcategories, and 14 non-clinical QIs across two subcategories. Amongst the clinical category, airway management (n = 13 QIs; 14%); out-of-hospital cardiac arrest (n = 13 QIs; 14%); and acute coronary syndromes (n = 11 QIs; 12%) made up the majority. Within the non-clinical category, adverse events made up the significant majority with nine QIs (64%).
conclusionWithin the South Africa setting, there are a multitude of QIs that are relevant and appropriate for use in PEC. This was evident in the number, variety and type of QIs reaching consensus agreement in our study. Furthermore, both the methodology employed, and findings of this study may be used to inform the development of PEC specific QIs within other LMIC settings.
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