Disability Weights Measurement for 289 Causes of Disease Considering Disease Severity in Korea
Disability Weights Measurement for 289 Causes of Disease Considering Disease Severity in Korea
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DOI：
10.3346/jkms.2019.34.e60
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发表时间：
2019-03-26
影响因子：
4.5
通讯作者：
Jo, Min-Woo
中科院分区：
文献类型：
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作者：
Ock, Minsu;Park, Bomi;Jo, Min-Woo
背景：对于韩国疾病负担（KBD） 2015研究，我们采用2012年KBD残疾体重研究的方法修改了疾病原因的残疾体重。方法：我们在韩国进行了一项自我管理的网络调查，使用排名五种疾病原因。共有605名参加正规课程的三、四年级的医生和医学院学生进行了调查。我们将排名数据转换为成对比较数据，并进行probit回归。根据probit回归的系数估计计算每种疾病原因的预测概率。“死亡(1)”和“满血(0)”被用作锚点，在0到1的范围内重新调整预测概率。结果：因此，估计了总共289种疾病原因的残疾权重。特别是，我们计算了60种疾病原因的残疾权重，考虑了严重程度。这些结果表明，在不考虑严重程度的情况下估计疾病原因的残疾权重时，对疾病原因严重程度本身的偏见会影响残疾权重的估计。此外，我们还证明了基于排序方法的残疾权重估计可以最大限度地提高数据收集的效率。结论：残障权值可用于残障调整寿命年和健康预期寿命的估算。此外，我们预计在残疾体重研究中，排名方法的使用将逐渐增加。
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.