Journal of Preventive Medicine and Public Health

Special Article

Updating Korean Disability Weights for Causes of Disease: Adopting an Add-on Study Method: Dasom Im, Noor Afif Mahmudah, Seok-Jun Yoon, Young-Eun Kim, Don-Hyung Lee, Yeon-hee Kim, Yoon-Sun Jung, Minsu Ock; J Prev Med Public Health. 2023;56(4):291-302. Published online June 26, 2023; DOI: https://doi.org/10.3961/jpmph.23.192

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Abstract Summary PDF Supplementary Material

Objectives
Disability weights require regular updates, as they are influenced by both diseases and societal perceptions. Consequently, it is necessary to develop an up-to-date list of the causes of diseases and establish a survey panel for estimating disability weights. Accordingly, this study was conducted to calculate, assess, modify, and validate disability weights suitable for Korea, accounting for its cultural and social characteristics.
Methods
The 380 causes of disease used in the survey were derived from the 2019 Global Burden of Disease Collaborative Network and from 2019 and 2020 Korean studies on disability weights for causes of disease. Disability weights were reanalyzed by integrating the findings of an earlier survey on disability weights in Korea with those of the additional survey conducted in this study. The responses were transformed into paired comparisons and analyzed using probit regression analysis. Coefficients for the causes of disease were converted into predicted probabilities, and disability weights in 2 models (model 1 and 2) were rescaled using a normal distribution and the natural logarithm, respectively.
Results
The mean values for the 380 causes of disease in models 1 and 2 were 0.488 and 0.369, respectively. Both models exhibited the same order of disability weights. The disability weights for the 300 causes of disease present in both the current and 2019 studies demonstrated a Pearson correlation coefficient of 0.994 (p=0.001 for both models). This study presents a detailed add-on approach for calculating disability weights.
Conclusions
This method can be employed in other countries to obtain timely disability weight estimations.

Summary

Korean summary
이 연구에서는 장애보정생존연수의 산출 방법론 중 발생률 기반 접근법을 이용하여 질병부담 산출에 활용할 질병원인에 대한 장애가중치를 산출하고 한국의 문화사회적 특징을 고려하여 이에 대한 타당성을 검증하였다. 특히, 지난 연구에서 활용한 질병원인에 대한 장애가중치 결과값을 add-on study 방법으로 활용하여 장애가중치를 개정하였다. 이번 연구에서 수행한 add-on study 방법을 활용하여 장애가중치 값을 산출할 경우 다수의 전문가의 누적된 의견을 기반으로 장애가중치를 안정적으로 개정하여 특정 질병원인의 장애보정생존연수를 보다 정확하게 산출할 수 있게 될 것이다.

Citations

Citations to this article as recorded by

Trends in Healthy Life Expectancy (HALE) and Disparities by Income and Region in Korea (2008–2020): Analysis of a Nationwide Claims Database
Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon
Journal of Korean Medical Science.2024;[Epub] CrossRef
Measuring the Burden of Disease in Korea Using Disability-Adjusted Life Years (2008–2020)
Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon
Journal of Korean Medical Science.2024;[Epub] CrossRef
Korean National Burden of Disease: The Importance of Diabetes Management
Chung-Nyun Kim, Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon
Diabetes & Metabolism Journal.2024; 48(4): 518. CrossRef
Newly estimated disability weights for 196 health states in Hubei Province, China
Mengge Zhou, Lan Zhang, Tianjing He, Shuzhen Zhu, Yumeng Tang, Qian Li, Miaoyan Shen, Jingju Pan
Population Health Metrics.2024;[Epub] CrossRef

Review

Qualitative Research in Healthcare: Data Analysis: Dasom Im, Jeehye Pyo, Haneul Lee, Hyeran Jung, Minsu Ock; J Prev Med Public Health. 2023;56(2):100-110. Published online February 15, 2023; DOI: https://doi.org/10.3961/jpmph.22.471

24,512 View
991 Download
31 Web of Science
39 Crossref

Abstract Summary PDF

Qualitative research methodology has been applied with increasing frequency in various fields, including in healthcare research, where quantitative research methodology has traditionally dominated, with an empirically driven approach involving statistical analysis. Drawing upon artifacts and verbal data collected from in-depth interviews or participatory observations, qualitative research examines the comprehensive experiences of research participants who have experienced salient yet unappreciated phenomena. In this study, we review 6 representative qualitative research methodologies in terms of their characteristics and analysis methods: consensual qualitative research, phenomenological research, qualitative case study, grounded theory, photovoice, and content analysis. We mainly focus on specific aspects of data analysis and the description of results, while also providing a brief overview of each methodology’s philosophical background. Furthermore, since quantitative researchers have criticized qualitative research methodology for its perceived lack of validity, we examine various validation methods of qualitative research. This review article intends to assist researchers in employing an ideal qualitative research methodology and in reviewing and evaluating qualitative research with proper standards and criteria.

Summary

Korean summary
질적연구 방법론은 보건의료 연구에서 연구 참여자가 경험하는 주요 현상을 잘 포착할 수 있도록 해 준다. 이 논문에서는 합의적 질적연구, 현상학적 연구, 질적 사례 연구, 근거이론, 포토보이스, 내용 분석 등 6가지의 대표적인 질적 연구 방법론에 대한 간략한 철학적 배경과 구체적인 데이터 분석 및 해석 방법을 소개한다.

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