Disaster and public health emergency health data collection and management: A scoping review


  • Alissa J. Mitchell https://orcid.org/0000-0003-0818-0432
  • Tatsuhiko Kubo, MD, PhD
  • Alexander H. Chang
  • Odgerel Chimed Ochir, MD, MPH, PhD
  • Anthony Salerno, MD, MSc
  • Yui Yumiya, PhD, MPH
  • Daniel J. Barnett, MD, MPH
  • Katsumi Nakase, MD, PhD
  • Edbert B. Hsu, MD, MPH




Emergency Medical Teams, Minimum Data Sets, health data, disaster, public health emergency


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.

Author Biographies

Alissa J. Mitchell

College of Osteopathic Medicine, William Carey University, Hattiesburg, Mississippi.

Tatsuhiko Kubo, MD, PhD

Department of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan

Alexander H. Chang

Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania

Odgerel Chimed Ochir, MD, MPH, PhD

Department of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan

Anthony Salerno, MD, MSc

Johns Hopkins University School of Medicine, Baltimore, Maryland

Yui Yumiya, PhD, MPH

Department of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan

Daniel J. Barnett, MD, MPH

Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland

Katsumi Nakase, MD, PhD

Department of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan

Edbert B. Hsu, MD, MPH

Department of Emergency Medicine, Center for Global Emergency Care, Johns Hopkins University School of Medicine, Baltimore, Maryland


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How to Cite

Mitchell, A. J., T. Kubo, A. H. Chang, O. C. Ochir, A. Salerno, Y. Yumiya, D. J. Barnett, K. Nakase, and E. B. Hsu. “Disaster and Public Health Emergency Health Data Collection and Management: A Scoping Review”. American Journal of Disaster Medicine, vol. 17, no. 4, July 2023, pp. 277-85, doi:10.5055/ajdm.2022.0443.



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