Designing a model of patient tracking system for natural disaster in Iran

CONTEXT: Disaster patient tracking consists of identifying and registering patients, recording data on their medical conditions, settings priorities for evacuation of scene, locating the patients from scene to health care centers and then till completion of treatment and discharge. AIM: The aim of this study was to design a model of patient tracking system for natural disaster in Iran. MATERIALS AND METHODS: This applied study was conducted in two steps in 2016. First, data on disaster patient tracking systems used in selected countries were collected from library-printed and electronic references and then compared. Next, a preliminary model of disaster patient tracking system was provided using these systems and validated by Delphi technique and focus group. The data of the first step were analyzed by content analysis and those of the second step by descriptive statistics. RESULTS: Analysis of the comments of key information persons in three Delphi rounds, consisting of national experts, yielded three themes, i.e., content, function, and technology, ten subthemes, and 127 components, with consensus rate of over 75%, to provide a disaster patient tracking system for Iran. CONCLUSION: In Iran, there is no comprehensive process to manage the data on disaster patients. Offering a patient tracking system can be considered a humanitarian and effective measure to promote the process of identifying, caring for, evacuating, and transferring patients as well as documenting and following up their medical and location conditions from scene till completion of the treatment.