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Communicable Disease Surveillance Systems in Disasters: Application of the Input, Process, Product, and Outcome Framework for Performance Assessment Publisher Pubmed



Babaie J1, 2, 3 ; Ardalan A4, 5 ; Vatandoost H6 ; Goya MM7 ; Akbarisari A8
Authors
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Authors Affiliations
  1. 1. Health Services Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz East Azerbaijan, Iran
  2. 2. Iranian Center of Excellence in Health Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz East Azerbaijan, Iran
  3. 3. Tabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz East Azerbaijan, Iran
  4. 4. Department of Disaster Public Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Disaster and Emergency Health, National Institute of Health Research, Tehran University of Medical Sciences, Tehran Maine, Iran
  6. 6. Medical Entomology and Vector Control, Tehran University of Medical Sciences, Tehran, Iran
  7. 7. Communicable Diseases Management Center, Ministry of Health, Tehran, Iran
  8. 8. Health Management and Economics, Tehran University of Medical Sciences, Tehran, Iran

Source: Disaster Medicine and Public Health Preparedness Published:2019


Abstract

ObjectiveOne of the most important measures following disasters is setting up a communicable disease surveillance system (CDSS). This study aimed to develop indicators to assess the performance of CDSSs in disasters.MethodIn this 3-phase study, firstly a qualitative study was conducted through in-depth, semistructured interviews with experts on health in disasters and emergencies, health services managers, and communicable diseases center specialists. The interviews were analyzed, and CDSS performance assessment (PA) indicators were extracted. The appropriateness of these indicators was examined through a questionnaire administered to experts and heads of communicable diseases departments of medical sciences universities. Finally, the designed indicators were weighted using the analytic hierarchy process approach and Expert Choice software.ResultsIn this study, 51 indicators were designed, of which 10 were related to the input (19.61%), 17 to the process (33.33%), 13 to the product (25.49%), and 11 to the outcome (21.57%). In weighting, the maximum score was that of input (49.1), and the scores of the process, product, and outcome were 31.4, 12.7, and 6.8, respectively.ConclusionThrough 3 different phases, PA indicators for 4 phases of a chain of results were developed. The authors believe that these PA indicators can assess the system's performance and its achievements in response to disasters. Copyright © Society for Disaster Medicine and Public Health, Inc. 2018.
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Experts (# of related papers)
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Hassan Vatandoost (3)
Ali Ardalan (3)