Disaster and public health emergency health data collection and management: A scoping review
DOI:
https://doi.org/10.5055/ajdm.2022.0443Keywords:
Emergency Medical Teams, Minimum Data Sets, health data, disaster, public health emergencyAbstract
Objective: The World Health Organization (WHO) developed the Emergency Medical Team (EMT) Minimum Data Set (MDS) to provide a structured, data-based approach to health data collection and management during disasters and public health emergencies. Given recent creation of the EMT MDS, we conducted a scoping review to gauge current practices surrounding health data collection and sharing in emergent settings.
Design: An English-based scoping review of PubMed and Embase databases of publications before June 28, 2021.
Main outcome measures: The review aimed to identify facilitators and barriers to the implementation of the WHO-standardized health data collection systems in the context of disasters and public health emergencies; characterize best practices regarding implementation of an MDS to improve health data collection capacity in differing settings; and highlight internationally accepted, standardized tools or methods for setting up essential public health data for disaster response.
Results: A total of 8,038 citations from PubMed and Embase were imported into Covidence with 46 duplicates removed. Among these, 7,992 citations underwent title screening and abstract review, with 161 articles proceeding to full-text article review where an additional 109 articles were excluded. Fifty-two citations were included in final data abstraction. Conclusions: Findings revealed a range of critical operational, structural, and functional insights of relevance to implementation of the EMT MDS. The literature identified facilitators and barriers to collecting and storing disaster-based datasets, gaps in standardization of data collection resulting in poor data quality during the transition from the acute to post-acute phase, and best practices in the collection of EMT MDS.
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