Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Feb 14;34(Suppl 1):e60.
doi: 10.3346/jkms.2019.34.e60. eCollection 2019 Mar 26.

Disability Weights Measurement for 289 Causes of Disease Considering Disease Severity in Korea

Minsu Ock  1 , Bomi Park  2 , Hyesook Park  2 , In-Hwan Oh  3 , Seok-Jun Yoon  4 , Bogeum Cho  5 , Min-Woo Jo  5
Affiliations

Disability Weights Measurement for 289 Causes of Disease Considering Disease Severity in Korea

Minsu Ock et al. J Korean Med Sci. .

Abstract

Background: For the Korean Burden of Disease (KBD) 2015 study, we have amended disability weights for causes of disease adapting the methodology of the KBD disability weight 2012 study.

Methods: We conducted a self-administered web-based survey in Korea using ranking five causes of disease. A total of 605 physicians and medical college students who were attending in third or fourth grade of a regular course performed the survey. We converted the ranked data into paired comparison data and ran a probit regression. The predicted probabilities for each cause of disease were calculated from the coefficient estimates of the probit regression. 'Being dead (1)' and 'Full health (0)' were utilized as anchor points to rescale the predicted probability on a scale from 0 to 1.

Results: As a result, disability weights for a total of 289 causes of disease were estimated. In particular, we calculated the disability weights of 60 causes of disease considering severity level. These results show that prejudice about the severity of cause of disease itself can affect the estimation of disability weight, when estimating the disability weight for causes of disease without consideration of severity. Furthermore, we have shown that disability weights can be estimated based on a ranking method which can maximize efficiency of data collection.

Conclusion: Disability weights from this study can be used to estimate disability adjusted life year and healthy life expectancy. Furthermore, we expected that the use of the ranking method will increase gradually in disability weight studies.

Keywords: Burden of Disease; Disability Weight; Ranking Method; Republic of Korea.

PubMed Disclaimer

Conflict of interest statement

Disclosure: The authors have no potential conflicts of interest to disclose.

Figures

Fig. 1
Fig. 1. Distribution of disability weights.
Fig. 2
Fig. 2. Correlation of disability weights between this study and a previous study.
See this image and copyright information in PMC

References

    1. Murray CJ, Salomon JA, Mathers C. A critical examination of summary measures of population health. Bull World Health Organ. 2000;78(8):981–994. - PMC - PubMed
    1. Hyder AA, Puvanachandra P, Morrow RH. Measuring the health of populations: explaining composite indicators. J Public Health Res. 2012;1(3):222–228. - PMC - PubMed
    1. Oh IH, Yoon SJ, Kim EJ. The burden of disease in Korea. J Korean Med Assoc. 2011;54(6):646–652.
    1. Vos T, Abajobir AA, Abate KH, Abbafati C, Abbas KM, Abd-Allah F, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1211–1259. - PMC - PubMed
    1. Ock M, Han JW, Lee JY, Kim SH, Jo MW. Estimating quality-adjusted life-year loss due to noncommunicable diseases in Korean adults through to the year 2040. Value Health. 2015;18(1):61–66. - PubMed