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Developing a Performance Assessment Framework and Indicators for Communicable Disease Management in Natural Disasters

Published online by Cambridge University Press:  10 December 2015

Javad Babaie ,
Ali Ardalan ,
Hasan Vatandoost ,
Mohammad Mehdi Goya  and
Ali Akbarisari
Javad Babaie
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, 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, Iran Harvard Humanitarian Initiative, Harvard University, Cambridge, Massachusetts USA
Hasan Vatandoost
Affiliation:
Department of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
Mohammad Mehdi Goya
Affiliation:
Centre for Communicable Disease Management, Ministry of Health and Medical Education, Tehran, Iran
Ali Akbarisari
Affiliation:
Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
*
Correspondence: Ali Ardalan, MD, PhD Disaster and Emergency Health Academy National Institute of Health Research Tehran University of Medical Sciences-School of Public Health 78 Italy Ave Tehran, Islamic Republic of Iran E-mail: [email protected]
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Abstract

Introduction

Communicable disease management (CDM) is an important component of disaster public health response operations. However, there is a lack of any performance assessment (PA) framework and related indicators for the PA. This study aimed to develop a PA framework and indicators in CDM in disasters.

Methods

In this study, a series of methods were used. First, a systematic literature review (SLR) was performed in order to extract the existing PA frameworks and indicators. Then, using a qualitative approach, some interviews with purposively selected experts were conducted and used in developing the PA framework and indicators. Finally, the analytical hierarchy process (AHP) was used for weighting of the developed indicators.

Results

The input, process, products, and outcomes (IPPO) framework was found to be an appropriate framework for CDM PA. Seven main functions were revealed to CDM during disasters. Forty PA indicators were developed for the four categories.

Conclusion

There is a lack of any existing PA framework in CDM in disasters. Thus, in this study, a PA framework (IPPO framework) was developed for the PA of CDM in disasters through a series of methods. It can be an appropriate framework and its indicators could measure the performance of CDM in disasters.

BabaieJ , ArdalanA , VatandoostH , GoyaMM , AkbarisariA . Developing a Performance Assessment Framework and Indicators for Communicable Disease Management in Natural Disasters. Prehosp Disaster Med. 2016;31(1):27–35.

Keywords

communicable diseasesdisasterperformance assessment
Type
Original Research
Information
Prehospital and Disaster Medicine , Volume 31 , Issue 1 , February 2016 , pp. 27 - 35
Copyright
© World Association for Disaster and Emergency Medicine 2015 

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References

1. Coppola, DP. Introduction to international disaster management. Elsevier. 2007.Google Scholar
2. Smith, E, Wasiak, J, Sen, A, Archer, F, Burkle, FM. Three decades of disasters: a review of disaster-specific literature from 1977–2009. Prehosp Disaster Med. 2009;24(4):306-311.Google Scholar
3. Guha-Sapir, D, Hoyois, PH, Below, R. Annual disaster statistical review 2012: the numbers and trends. CRED Web site. http://www.cred.be/sites/default/files/ADSR_2012.pdf. Accessed August 02, 2013.Google Scholar
4. Phalkey, R, Dash, SR, Mukhopadhyay, A, Runge-Ranzinger, S, Marx, M. Prepared to react? Assessing the functional capacity of the primary health care system in rural Orissa, India to respond to the devastating flood of September 2008. Glob Health Action. 2012;5:10.3402/gha.v5i0.10964.CrossRefGoogle Scholar
5. Guha-Sapir, D, Vos, F, Below, R, Ponserre, S. Annual disaster statistical review 2010: the numbers and trends. CRED Web site. http://www.cred.be/download/download.php?file=sites/default/files/ADSR_2010.pdf. Accessed March 14, 2015.Google Scholar
6. Ardalan, A, Mowafi, H, Khoshsabeghe, HY. Impacts of natural hazards on primary health care facilities of Iran: a 10-year retrospective survey. PLoS Curr. 2013;5. doi: pii: ecurrents.dis.ccdbd870f5d1697e4edee5.Google Scholar
7. Scnall, AH, Wolkin, AF, Noe, R, et al. Evaluation of a standardized morbidity surveillance form for use during disasters caused by natural hazards. Prehosp Disaster Med. 2011;26(2):90-98.Google Scholar
8. Isidore, K, Kouadio, IK, Aljunid, S, Kamigaki, T, Karen, H, Oshitani, H. Infectious diseases following natural disasters: prevention and control measures. Expert Rev Anti Infect Ther. 2012;10(1):95-104.Google Scholar
9. World Health Organization (WHO). Communicable diseases following natural disasters: risk assessment and priority interventions 2006. WHO Web site. http://www.who.int/diseasecontrol_emergencies/en/. Accessed April 12, 2014.Google Scholar
10. Qadri, F, Khan, AI, Faruque, AS, et al. Enter toxigenic Escherichia coli and vibrio cholera diarrhea, Bangladesh. Emerg Infect Dis. 2005;11(7):1104-1107.Google Scholar
11. World Health Organization. Health action in crises. Haiti: response to the cholera outbreak. WHO Web site. www.who.int/hac/crises/hti/highlights/october2010/en/index.htm. Accessed July20, 2013.Google Scholar
12. Sabatinelli, G, Kakar, SR, Rahim Khan, M, et al. Early warning disease surveillance after a flood emergency – Pakistan 2010. MMWR. 2012;61(49):1002-1007.Google Scholar
13. Yan, G, Mei, X. Mobile device-based reporting system for Sichuan earthquake-affected areas infectious diseases reporting in China. Biomed Environ Sci. 2012;25(6):724-729.Google Scholar
14. Tohma, K, Suzuki, A, Otani, K, et al. Monitoring of influenza virus in the aftermath of Great East Japan earthquake. JPN J Infect Dis. 2012;65(6):542-544.Google Scholar
15. Ten Asbroek, AHA, Arahi, OA, Geelhoed, J, Custers, T, Delnoij, DM, Klazinga, NS. Developing a national performance indicator framework for the Dutch health system. International Journal for Quality in Health Care. 2004;16(1):65-71.Google Scholar
16. Groene, O, Klazinga, N, Kazandjian, V, Lombrail, P, Bartels, P. The World Health Organization performance assessment tool for quality improvement in hospitals (PATH): an analysis of the pilot implementation in 37 hospitals. International Journal for Quality in Health Care. 2008;20(3):155-161.Google Scholar
17. Sheikhzadeh, R. Developing of performance evaluation and management model for health system of Iran. Management Researches. 2010;3(10):83-108.Google Scholar
18. Christopher, JL, Murray, CJL, Frenk, J. A framework for assessing the performance of health systems. Bulletin of the World Health Organization. 2000;78(6):716-733.Google Scholar
19. UNICEF. The 2004 Indian Ocean tsunami disaster: evaluation of UNICEF's response 2006. www.alnap.org/pool/files/876.pdf. Accessed April 06, 2013.Google Scholar
20. Lennquist, S, Hodgetts, T. Evaluation of the response of the Swedish health care system to the tsunami disaster in South East Asia. Eur J Trauma Emerg Surg. 2008;34(5):465-485.Google Scholar
21. Babaie, j, Ardalan, A, Vatandoost, H, Goya, M, Akbarisari, A. Performance assessment of communicable disease surveillance in disasters: a systematic review. PLOS Currents Disasters. 2015; Doi: 10.1371/currents. dis. c 72864d9c7ee99ffbe9ea707fe4465.Google Scholar
22. Altevogt, BM, Pope, AM, Hill, MN, Shine, KI. Research priorities in emergency preparedness and response for public health systems. 2008. Institute of medicine of the national academies. www.nap.edu/catalog/12136.html. Accessed April 05, 2013.Google Scholar
23. Lazar, EJ, Caglious, NV, Gebbie, KM. Needs for performance metrics in hospital emergency management. Disaster Med Public Health Preparedness. 2008;3:1-1.Google Scholar
24. Smith, PC, Mossialos, E, Papanicolas, I. Performance measurement for health system improvement: experiences, challenges and prospects. EURO WHO Web site. http://www.euro.who.int/__data/assets/pdf_file/0003/84360/E93697.pdf. Accessed April 11, 2014.Google Scholar
25. The Johns Hopkins and the International Federation of Red Cross and Red Crescent Societies. Control of communicable diseases in emergencies. Johns Hopkins Web site. http://www.jhsph.edu/research/centers-and-institutes/center-for-refugee-and-disaster-response/publications_tools/publications/_CRDR_ICRC_Public_Health_Guide_Book/Pages_from_Chapter_7_.pdf. Accessed May 23, 2014.Google Scholar
26. Ardalan, A, Kandi, M, Talebian, MT, et al. Hospitals safety from disasters in I.R. Iran: the results from assessment of 224 hospitals. PLoS Curr. 2014;6. pii: ecurrents.dis.8297b528bd45975bc6291804747ee5db. doi: 10.1371/currents.dis.8297b528bd45975bc6291804747ee5db.Google Scholar
27. Khankeh, HR, Fallahi, M, Ranjbar, M, Ahmadi, F. Health management in disasters with focusing on rehabilitation. Journal of Rehabilitation. 2008;9(2):66-72.Google Scholar
28. Khankeh, HM, Mohamadi, R, Ahmadi, F. Barriers and facilitators of health care services at the time of natural disasters: a qualitative research. Journal of Rehabilitation. 2005;6(1(20)):23-30.Google Scholar
29. Saaty, TL. Decision making — the analytic hierarchy and network processes (AHP/ANP). Journal of Systems Science and Systems Engineering. 2004;13(1):1-35.Google Scholar
30. Li, AT, Lin, JW. Constructing core competency indicators for clinical teachers in Taiwan: a qualitative analysis and an analytic hierarchy process. BMC Med Educ. 2014;14:75.CrossRefGoogle Scholar
31. Chung, KP, Chen, LJ, Chang, YJ, Chang, YJ, Lai, MS. Application of the analytic hierarchy process in the performance measurement of colorectal cancer care for the design of a pay-for-performance program in Taiwan. Int J Qual Health Care. 2013;25(1):81-91.Google Scholar
32. Peng, D, Li, XS, Zhang, Q, et al. Responsiveness evaluation of mental intervention services system in Wenchuan earthquake area. Zhonghua Yu Fang Yi Xue ZaZhi. 2011;45(2):158-162.Google Scholar
33. Ping, WW, Tan, HZ, Yang, TB, et al. A research on the public health index related to the comprehensive assessment on floods. Zhonghua Liu Xing Bing Xue Za Zhi. 2004;25(4):333-336.Google Scholar
34. Centers for Diseases Control and Prevention (CDC). Updated guidelines for evaluating public health surveillance systems. MMWR. 2001;50(RR-13):1-51.Google Scholar
35. Tashobya, CK, Silveria, VC, Ssengooba, F, Nabyonga-Orem, J. Health systems performance assessment in low-income countries: learning from international experiences. Globalization and Health. 2014;10:5.CrossRefGoogle ScholarPubMed
36. Chang, LC, Lin, SW, Northcott, DN. The NHS performance assessment framework: a “balanced scorecard” approach? J Manag Med. 2002;16(4-5):345-358.Google Scholar
37. Veillard, J, Champagne, F, Klazinga, N, Kazan djian, V, Arah, OA, Guisset, AL. A performance assessment framework for hospitals: the WHO regional office for Europe PATH project. International Journal for Quality in Health Care. 2005;17(6):487-499.Google Scholar
38. Ghana Ministry of Health. Holistic assessment of the health sector, program of work 2013. Ghana MOH Web site. http://www.moh-ghana.org. Accessed March 14, 2015.Google Scholar
39. World Health Organization. Field guide for malaria epidemic assessment and reporting. WHO Web site. http://apps.who.int/iris/bitstream/10665/68764/1/WHO_HTM_MAL_2004.1097.pdf?ua=1. Accessed July 15, 2014.Google Scholar
40. United Nation Development Group. Results-Based management handbook. UNDP Web site. http://www.undg.org/docs/12316/UNDG-RBM%20Handbook-2012.pdf. Accessed March 14, 2015.Google Scholar