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Disease Management Index of potential years of life lost as a tool for setting priorities in national disease control using OECD health data.

Authors
 Sung-In Jang  ;  Jung-Mo Nam  ;  Jongwon Choi  ;  Eun-Cheol Park 
Citation
 HEALTH POLICY, Vol.115(1) : 92-99, 2014 
Journal Title
 HEALTH POLICY 
ISSN
 0168-8510 
Issue Date
2014
MeSH
Communicable Disease Control/organization & administration* ; Health Policy ; Health Priorities/organization & administration* ; Health Priorities/statistics & numerical data ; Humans ; Life Expectancy* ; Models, Statistical ; Organisation for Economic Co-Operation and Development/statistics & numerical data* ; Policy Making ; Quality-Adjusted Life Years
Keywords
DMI ; Disease burden ; Disease management index ; PARC ; Position value for relative comparison ; Potential years of life lost ; Setting priorities
Abstract
Limited healthcare resources make it necessary to maximize efficiency in disease management at the country level by priority-setting according to disease burden. To make the best priority settings, it is necessary to measure health status and have standards for its judgment, as well as consider disease management trends among nations. We used 17 International Classification of Diseases (ICD) categories of potential years of life lost (YPLL) from Organization for Economic Co-operation and Development (OECD) health data for 2012, 37 disease diagnoses YPLL from OECD health data for 2009 across 22 countries and disability-adjusted life years (DALY) from the World Health Organization (WHO). We set a range of 1-1 for each YPLL per disease in a nation (position value for relative comparison, PARC). Changes over 5 years were also accounted for in this disease management index (disease management index, DMI). In terms of ICD categories, the DMI indicated specific areas for priority setting for different countries with regard to managing disease treatment and diagnosis. Our study suggests that DMI is a realistic index that reflects trend changes over the past 5 years to the present state, and PARC is an easy index for identifying relative status. Moreover, unlike existing indices, DMI and PARC make it easy to conduct multiple comparisons among countries and diseases. DMI and PARC are therefore useful tools for policy implications and for future studies incorporating them and other existing indexes.
Full Text
http://www.sciencedirect.com/science/article/pii/S0168851013003047
DOI
10.1016/j.healthpol.2013.11.007
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Preventive Medicine and Public Health (예방의학교실) > 1. Journal Papers
Yonsei Authors
Nam, Chung Mo(남정모) ORCID logo https://orcid.org/0000-0003-0985-0928
Park, Eun-Cheol(박은철) ORCID logo https://orcid.org/0000-0002-2306-5398
Jang, Sung In(장성인) ORCID logo https://orcid.org/0000-0002-0760-2878
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/98217
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