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Clinical emergency care quality indicators in Africa: a scoping review and data summary.
Pickering, Ashley E; Malherbe, Petrus; Nambuba, Joan; Bills, Corey B; Hynes, Emilie Calvello; Rice, Brian.
  • Pickering AE; Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, Colorado, USA Ashleypickering@gmail.com.
  • Malherbe P; Emergency Medicine, Ochsner Medical Center, New Orleans, Louisiana, USA.
  • Nambuba J; Emergency Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, USA.
  • Bills CB; Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, Colorado, USA.
  • Hynes EC; Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, Colorado, USA.
  • Rice B; Emergency Medicine, Stanford University, Palo Alto, California, USA.
BMJ Open ; 13(5): e069494, 2023 05 02.
Article in English | MEDLINE | ID: covidwho-2318188
ABSTRACT

OBJECTIVES:

Emergency care services are rapidly expanding in Africa; however, development must focus on quality. The African Federation of Emergency Medicine consensus conference (AFEM-CC)-based quality indicators were published in 2018. This study sought to increase knowledge of quality through identifying all publications from Africa containing data relevant to the AFEM-CC process clinical and outcome quality indicators.

DESIGN:

We conducted searches for general quality of emergency care in Africa and for each of 28 AFEM-CC process clinical and five outcome clinical quality indicators individually in the medical and grey literature. DATA SOURCES PubMed (1964-2 January 2022), Embase (1947-2 January 2022) and CINAHL (1982-3 January 2022) and various forms of grey literature were queried. ELIGIBILITY CRITERIA Studies published in English, addressing the African emergency care population as a whole or large subsegment of this population (eg, trauma, paediatrics), and matching AFEM-CC process quality indicator parameters exactly were included. Studies with similar, but not exact match, data were collected separately as 'AFEM-CC quality indicators near match'. DATA EXTRACTION AND

SYNTHESIS:

Document screening was done in duplicate by two authors, using Covidence, and conflicts were adjudicated by a third. Simple descriptive statistics were calculated.

RESULTS:

One thousand three hundred and fourteen documents were reviewed, 314 in full text. 41 studies met a priori criteria and were included, yielding 59 unique quality indicator data points. Documentation and assessment quality indicators accounted for 64% of data points identified, clinical care for 25% and outcomes for 10%. An additional 53 'AFEM-CC quality indicators near match' publications were identified (38 new publications and 15 previously identified studies that contained additional 'near match' data), yielding 87 data points.

CONCLUSIONS:

Data relevant to African emergency care facility-based quality indicators are highly limited. Future publications on emergency care in Africa should be aware of, and conform with, AFEM-CC quality indicators to strengthen understanding of quality.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Quality Indicators, Health Care / Emergency Medical Services Type of study: Prognostic study / Reviews Limits: Child / Humans Country/Region as subject: Africa Language: English Journal: BMJ Open Year: 2023 Document Type: Article Affiliation country: Bmjopen-2022-069494

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Quality Indicators, Health Care / Emergency Medical Services Type of study: Prognostic study / Reviews Limits: Child / Humans Country/Region as subject: Africa Language: English Journal: BMJ Open Year: 2023 Document Type: Article Affiliation country: Bmjopen-2022-069494