Saber Azami-Aghdash1,2, Ahmad Moosavi3, Hojatolah Gharaee4, Ghader Sadeghi2, Haleh Mousavi Isfahani5, Alireza Ghasemi Dastgerdi6, Mohammad Mohseni7. 1. Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. 2. Tabriz Health Services Management Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran. 3. Department of Health and Community Medicine, Dezful University of Medical Sciences, Dezful, Iran. 4. District Health Center of Hamadan City, Hamadan University of Medical Sciences, Hamadan, Iran. 5. School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran. 6. Disaster and Emergency Medical Management Center, Isfahan University of Medical Sciences, Isfahan, Iran. 7. Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran. mmohseni1986@gmail.com.
Abstract
BACKGROUND: Pre-Hospital Emergency Care (PEC) is a fundamental property of prevention of Road Traffic Injuries (RTIs). Thus, this sector requires a system for evaluation and performance improvement. This study aimed to develop quality indicators to measure PEC for RTIs. METHODS: Following the related literature review, 14 experts were interviewed through semi-structured interviews to identify Quality Measurement Indicators (QMIs). The extracted indicators were then categorized into three domains: structure, performance, and management. Finally, the identified QMIs were confirmed through two rounds of the Delphi technique. RESULTS: Using literature review 11 structural, 13 performance, and four managerial indicators (A total of 28 indicators) were identified. Also, four structural, four performance, and three managerial indicators (A total of 11indicators) were extracted from interviews with experts. Two indicators were excluded after two rounds of Delphi's technics. Finally, 14 structural, 16 performance and, seven managerial indicators (A total of 37indicators) were finalized. CONCLUSION: Due to the importance and high proportion of RTIs compared to other types of injuries, this study set out to design and evaluate the QMIs of PEC delivered for RTIs. The findings of this research contribute to measuring and planning aimed at improving the performance of PEC.
BACKGROUND: Pre-Hospital Emergency Care (PEC) is a fundamental property of prevention of Road Traffic Injuries (RTIs). Thus, this sector requires a system for evaluation and performance improvement. This study aimed to develop quality indicators to measure PEC for RTIs. METHODS: Following the related literature review, 14 experts were interviewed through semi-structured interviews to identify Quality Measurement Indicators (QMIs). The extracted indicators were then categorized into three domains: structure, performance, and management. Finally, the identified QMIs were confirmed through two rounds of the Delphi technique. RESULTS: Using literature review 11 structural, 13 performance, and four managerial indicators (A total of 28 indicators) were identified. Also, four structural, four performance, and three managerial indicators (A total of 11indicators) were extracted from interviews with experts. Two indicators were excluded after two rounds of Delphi's technics. Finally, 14 structural, 16 performance and, seven managerial indicators (A total of 37indicators) were finalized. CONCLUSION: Due to the importance and high proportion of RTIs compared to other types of injuries, this study set out to design and evaluate the QMIs of PEC delivered for RTIs. The findings of this research contribute to measuring and planning aimed at improving the performance of PEC.
Authors: Gregory Peck; David Blitzer; Isabelle Citron; John Dutton; Jorge Esteban Foianini; Vicente Gracias; Ramiro Manzano; John G Meara; Dhaval Mehta; Zina Model; Carlos Morales; Rachel NeMoyer; Carlos Ordoñez; Luis Fernando Pino; Juan Carlos Puyana; Edgar Rodas; Mary E Schroeder; Tom Sullivan; Miyerlandi Torres; Paul Truché; Martha Paola Vega Journal: Bull Am Coll Surg Date: 2017-07