Jurnal Internasional Afrika vol.9 issue.4 2019
African Journal of Emergency Medicine
Identifying quality indicators for prehospital emergency care services in the low to middle income setting: The South African perspective
Dublin Core
Title
Jurnal Internasional Afrika vol.9 issue.4 2019
African Journal of Emergency Medicine
Identifying quality indicators for prehospital emergency care services in the low to middle income setting: The South African perspective
African Journal of Emergency Medicine
Identifying quality indicators for prehospital emergency care services in the low to middle income setting: The South African perspective
Subject
Emergency medical service
Quality indicators
Patient safety
South Africa
Quality indicators
Patient safety
South Africa
Description
Introduction: Historically, 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, sig-
nificant 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 de-
velopment 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.
Methods: A 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.
Results: In 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%).
Conclusion: Within 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 develop-
ment of PEC specific QIs within other LMIC settings.
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, sig-
nificant 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 de-
velopment 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.
Methods: A 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.
Results: In 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%).
Conclusion: Within 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 develop-
ment of PEC specific QIs within other LMIC settings.
Creator
Ian Howard, Peter Cameron, Lee Wallis, Maaret Castrén, Veronica Lindström
Source
https://doi.org/10.1016/j.afjem.2019.07.003
Date
24 July 2019
Contributor
PERI IRAWAN
Format
PDF
Language
INDONESIA
Type
TEXT
Files
Citation
Ian Howard, Peter Cameron, Lee Wallis, Maaret Castrén, Veronica Lindström, “Jurnal Internasional Afrika vol.9 issue.4 2019
African Journal of Emergency Medicine
Identifying quality indicators for prehospital emergency care services in the low to middle income setting: The South African perspective,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/1795.
African Journal of Emergency Medicine
Identifying quality indicators for prehospital emergency care services in the low to middle income setting: The South African perspective,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/1795.