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

Published online by Cambridge University Press:  02 April 2018

Javad Babaie*
Affiliation:
Health Services Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran Iranian Center of Excellence in Health Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran Tabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran
Ali Ardalan
Affiliation:
Department of Disaster Public Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran Department of Disaster and Emergency Health, National Institute of Health Research, Tehran University of Medical Sciences, Tehran, Maine, Iran
Hasan Vatandoost
Affiliation:
Medical Entomology and Vector Control, Tehran University of Medical Sciences, Tehran, Tehran, Iran
Mohammad Mahdi Goya
Affiliation:
Communicable Diseases Management Center, Ministry of Health, Tehran, Iran
Ali Akbarisari
Affiliation:
Health Management and Economics, Tehran University of Medical Sciences, Tehran, Tehran, Iran
*
Correspondence and reprint requests to Javad Babaie, Health services management, School of management and medical informatics, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, IR (e-mail: [email protected]).

Abstract

Objective

One 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.

Method

In 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.

Results

In 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.

Conclusion

Through 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. (Disaster Med Public Health Preparedness. 2019;13:158–164)

Type
Original Research
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2018 

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