日本人如何评估不同疾病和伤害的严重程度?- 37,318名日本答复者对231个健康州的残疾权重进行评估。

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Population Health Metrics Pub Date : 2021-04-23 DOI:10.1186/s12963-021-00253-4
Shuhei Nomura, Yoshiko Yamamoto, Daisuke Yoneoka, Juanita A Haagsma, Joshua A Salomon, Peter Ueda, Rintaro Mori, Damian Santomauro, Theo Vos, Kenji Shibuya
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引用次数: 9

摘要

背景:残疾权重(DWs)是反映健康状况严重程度的体重因子,用于估计残疾调整生命年。2013年全球疾病和伤害负担(GBD)研究公布了一套新的全球dw,该研究依赖于世界各区域的抽样,但东亚国家的数据很少。本研究旨在使用可比方法测量日本的DW,并将结果与GBD 2013 DW研究的先前估计结果进行比较。方法:我们在2019年进行了一项基于网络的调查,以估计日本人口231个健康状态的dw。该调查包括五种新的健康状态,但其他方面遵循GBD DW测量研究的方法。调查由15个配对比较(PC)问题和3个人口健康等效问题(PHE)组成。我们使用probit回归分析PC数据,并将结果重新调整为DW单位,介于0(相当于完全生命值)和1(相当于死亡)之间。研究结果:我们考虑了37,318名具有全国代表性的受访者。结果DWs的值从颈部脊髓损伤(未经治疗)的0.707(95%不确定区间(UI) 0.527-0.842)到轻度贫血的0.004 (UI 0.001-0.009)不等。日本DW与GBD 2013 DW有较高的相关性,但存在相当大的差异。在226个可比较的健康状态中,55个(24.3%)显示出超过两个因素的差异,其中41个(74.6%)在日本的DW值更高。在日本的研究中,许多DW较高的健康状况是受伤,包括截肢和骨折,听力和视力丧失,而精神、行为和物质使用障碍通常倾向于较低。结论:本研究为日本dw健康状况评估提供了实证基础。这项基于日本人口的研究结果表明,与之前在其他地方进行的调查相比,对健康状况严重程度的评级可能存在背景差异。
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How do Japanese rate the severity of different diseases and injuries?-an assessment of disability weights for 231 health states by 37,318 Japanese respondents.

Background: Disability weights (DWs) are weight factors that reflect the severity of health states for estimates of disability-adjusted life years. A new set of global DWs was published for the Global Burden of Diseases and Injuries (GBD) 2013 study, which relied on sampling from various world regions, but included little data for countries in East Asia. This study aimed to measure DWs in Japan using comparable methods, and compare the results with previous estimates from the GBD 2013 DW study.

Methods: We conducted a web-based survey in 2019 to estimate DWs for 231 health states for the Japanese population. The survey included five new health states but otherwise followed the method of the GBD DW measurement study. The survey consisted of 15 paired comparison (PC) questions and 3 population health equivalence questions (PHE) per respondent. We analyzed PC data using probit regression and rescaled results to DW units between 0 (equivalent to full health) and 1 (equivalent to death).

Findings: We considered 37,318 nationally representative respondents. The values of the resulting DWs ranged from 0.707 (95% uncertainty interval (UI) 0.527-0.842) for spinal cord injury at neck level (untreated) to 0.004 (UI 0.001-0.009) for mild anemia. High correlation between Japanese DW and GBD 2013 DW was observed, but there was considerable disagreement. Out of 226 comparable health states, 55 (24.3%) showed more than a factor-of-two difference, of which 41 (74.6%) had a higher value in Japanese DW. Many of the health states with higher DW in the Japan study were injuries, including amputation and fracture, and hearing and vision loss, while mental, behavioral, and substance use disorders generally tended to be lower.

Conclusions: This study has created an empirical basis for assessment of Japanese DWs of health status. The findings from this study based on the Japanese population suggest that there might be contextual differences in rating the severity of health states compared to previous surveys conducted elsewhere.

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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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