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Data Quality Assessment in Emergency Medical Services: an Objective Approach

Overview
Journal BMC Emerg Med
Publisher Biomed Central
Specialty Emergency Medicine
Date 2023 Jan 30
PMID 36717771
Authors
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Abstract

Background: In emergency medical services, high quality data are of great importance for patient care. Due to the unique nature of this type of services, the purpose of this study was to assess data quality in emergency medical services using an objective approach.

Methods: This was a retrospective quantitative study conducted in 2019. The research sample included the emergency medical records of patients who referred to three emergency departments by the pre-hospital emergency care services (n = 384). Initially a checklist was designed based on the data elements of the triage form, pre-hospital emergency care form, and emergency medical records. Then, data completeness, accuracy and timeliness were assessed.

Results: Data completeness in the triage form, pre-hospital emergency care form, and emergency medical records was 52.3%, 70% and 57.3%, respectively. Regarding data accuracy, most of the data elements were consistent. Measuring data timeliness showed that in some cases, paper-based ordering and computer-based data entry was not sequential.

Conclusion: Data quality in emergency medical services was not satisfactory and there were some weaknesses in the documentation processes. The results of this study can inform the clinical and administrative staff to pay more attentions to these weaknesses and plan for data quality improvement.

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References
1.
Weiskopf N, Weng C . Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research. J Am Med Inform Assoc. 2012; 20(1):144-51. PMC: 3555312. DOI: 10.1136/amiajnl-2011-000681. View

2.
van Essen L, Olgers T, van Heel M, Ter Maaten J . Quality assessment of point-of-care ultrasound reports for patients at the emergency department treated by internists. Ultrasound J. 2022; 14(1):15. PMC: 9023621. DOI: 10.1186/s13089-022-00267-5. View

3.
Shapiro J, Crowley D, Hoxhaj S, Langabeer 2nd J, Panik B, Taylor T . Health Information Exchange in Emergency Medicine. Ann Emerg Med. 2015; 67(2):216-26. DOI: 10.1016/j.annemergmed.2015.06.018. View

4.
LaBerge M, Shachak A . Developing a tool to assess the quality of socio-demographic data in community health centres. Appl Clin Inform. 2013; 4(1):1-11. PMC: 3644810. DOI: 10.4338/ACI-2012-10-CR-0041. View

5.
Liaw S, Chen H, Maneze D, Taggart J, Dennis S, Vagholkar S . Health reform: is routinely collected electronic information fit for purpose?. Emerg Med Australas. 2012; 24(1):57-63. DOI: 10.1111/j.1742-6723.2011.01486.x. View