Evidence map›Paper›PMID 33892742›Full record

ArticlePopulation health metrics2021

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.

Shuhei Nomura, Yoshiko Yamamoto, Daisuke Yoneoka, Juanita A Haagsma, Joshua A Salomon, Peter Ueda, Rintaro Mori, Damian Santomauro, Theo Vos, Kenji Shibuya

Open access · goldAbstract read
In one paragraph

Article in Population health metrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Systematic review of health utility losses from injuries and violence.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026
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  12. Updating Korean Disability Weights for Causes of Disease: Adopting an Add-on Study Method.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 9 institutions in 7 countries.

Shuhei Nomura *Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan. s-nomura@keio.jp.ORCID 0000-0002-2963-7297
Yoshiko Yamamoto *National Center for Child Health and Development, Tokyo, Japan.
Daisuke YoneokaDepartment of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
Juanita A HaagsmaDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.
Joshua A SalomonCenter for Primary Care and Outcomes Research, Stanford University School of Medicine, California, USA.
Peter UedaDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Rintaro MoriGraduate School of Medicine, Kyoto University, Kyoto, Japan.
Damian SantomauroSchool of Public Health, The University of Queensland, Queensland, Australia.
Theo Vos *Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Kenji Shibuya *Institute for Population Health, King's College London, London, UK.
Keio University · JPErasmus MC · NLKarolinska Institutet · SEKing's College London · GBKyoto University · JPNational Center For Child Health and Development · JPStanford University · USThe University of Queensland · AUUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisability 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.

methodsWe 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).

findingsWe 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.

conclusionsThis 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.

Indexed as

Persons with DisabilitiesGlobal Burden of DiseaseHealth StatusHumansJapanQuality-Adjusted Life YearsSurveys and QuestionnairesDisability-adjusted life yearsDisability weightDisease burdenJapan

Identifiers

PMID33892742
PMCPMC8063365
OpenAlexW3156260941

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.