Literature DB >> 24365032

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

Sung-In Jang1, Jung-Mo Nam2, Jongwon Choi2, Eun-Cheol Park3.   

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.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  DMI; Disease burden; Disease management index; PARC; Position value for relative comparison; Potential years of life lost; Setting priorities

Mesh:

Year:  2013        PMID: 24365032     DOI: 10.1016/j.healthpol.2013.11.007

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


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