Database quality assessment in research in paramedicine: a scoping review.

Autor: McDonald N; Winnipeg Fire Paramedic Service, EMS Training, 2546 McPhillips St, Winnipeg, MB, R2P 2T2, Canada. nmcdonald@winnipeg.ca.; Department of Emergency Medicine, Max Rady College of Medicine, University of Manitoba, S203 Medical Services Building, 750 Bannatyne Ave, Winnipeg, MB, R3E 0W2, Canada. nmcdonald@winnipeg.ca.; Applied Health Sciences, University of Manitoba, 202 Active Living Centre, Winnipeg, MB, R3T 2N2, Canada. nmcdonald@winnipeg.ca., Little N; Winnipeg Fire Paramedic Service, EMS Training, 2546 McPhillips St, Winnipeg, MB, R2P 2T2, Canada., Kriellaars D; College of Rehabilitation Sciences, Rady Faculty of Health Sciences, University of Manitoba, 771 McDermot Ave, Winnipeg, MB, R3E 0T6, Canada., Doupe MB; Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, 750 Bannatyne Ave, Winnipeg, MB, R3E 0W2, Canada., Giesbrecht G; Faculty of Kinesiology and Recreation Management, University of Manitoba, 102-420 University Crescent, Winnipeg, MB, R3T 2N2, Canada., Pryce RT; Department of Kinesiology and Applied Health, Gupta Faculty of Kinesiology, University of Winnipeg, 400 Spence St, Winnipeg, MB, R3B 2E9, Canada.
Jazyk: angličtina
Zdroj: Scandinavian journal of trauma, resuscitation and emergency medicine [Scand J Trauma Resusc Emerg Med] 2023 Nov 11; Vol. 31 (1), pp. 78. Date of Electronic Publication: 2023 Nov 11.
DOI: 10.1186/s13049-023-01145-2
Abstrakt: Background: Research in paramedicine faces challenges in developing research capacity, including access to high-quality data. A variety of unique factors in the paramedic work environment influence data quality. In other fields of healthcare, data quality assessment (DQA) frameworks provide common methods of quality assessment as well as standards of transparent reporting. No similar DQA frameworks exist for paramedicine, and practices related to DQA are sporadically reported. This scoping review aims to describe the range, extent, and nature of DQA practices within research in paramedicine.
Methods: This review followed a registered and published protocol. In consultation with a professional librarian, a search strategy was developed and applied to MEDLINE (National Library of Medicine), EMBASE (Elsevier), Scopus (Elsevier), and CINAHL (EBSCO) to identify studies published from 2011 through 2021 that assess paramedic data quality as a stated goal. Studies that reported quantitative results of DQA using data that relate primarily to the paramedic practice environment were included. Protocols, commentaries, and similar study types were excluded. Title/abstract screening was conducted by two reviewers; full-text screening was conducted by two, with a third participating to resolve disagreements. Data were extracted using a piloted data-charting form.
Results: Searching yielded 10,105 unique articles. After title and abstract screening, 199 remained for full-text review; 97 were included in the analysis. Included studies varied widely in many characteristics. Majorities were conducted in the United States (51%), assessed data containing between 100 and 9,999 records (61%), or assessed one of three topic areas: data, trauma, or out-of-hospital cardiac arrest (61%). All data-quality domains assessed could be grouped under 5 summary domains: completeness, linkage, accuracy, reliability, and representativeness.
Conclusions: There are few common standards in terms of variables, domains, methods, or quality thresholds for DQA in paramedic research. Terminology used to describe quality domains varied among included studies and frequently overlapped. The included studies showed no evidence of assessing some domains and emerging topics seen in other areas of healthcare. Research in paramedicine would benefit from a standardized framework for DQA that allows for local variation while establishing common methods, terminology, and reporting standards.
(© 2023. The Author(s).)
Databáze: MEDLINE
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