Minimum Dataset of Health Management in Disaster

Access to quality information plays an important role in disasters. Due to lack of minimum dataset necessary for health management in disasters, this study aimed to design a minimum dataset for health management in disasters in Iran.
This descriptive study was conducted in 2016 using Delphi technique. 18 individuals were selected and enrolled the study, using heterogeneous sampling method. The Delphi technique was performed in three steps, and mean calculation was used to analyze the data.
The minimum health management dataset of before, during, and after the disaster included 9 data classes and 84 data elements, 9 data classes and 45 data elements, and 6 data classes and 54 data elements, respectively.
Disaster managers and policymakers can use the results of this study to collect and process the correct health information, which facilitates health management during the disasters.