Evidence map›Paper›PMID 27821883›Full record

ArticleBulletin of the World Health Organization2016

Disability weights based on patient-reported data from a multinational injury cohort.

Belinda J Gabbe, Ronan A Lyons, Pamela M Simpson, Frederick P Rivara, Shanthi Ameratunga, Suzanne Polinder, Sarah Derrett, James E Harrison

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Systematic review of health utility losses from injuries and violence.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026
    Article
  2. Global Burden of Disease disability weights for the US National Electronic Injury Surveillance System - All Injury Program.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026
    Article
  3. Observational
  4. Article
  5. Article
  6. Monetised estimated quality-adjusted life year (QALY) losses for non-fatal injuries.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2022
    Article
  7. Article
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  10. Review
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  12. Review
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  16. Article
  17. History and development of national burden of disease assessment in Australia.Archives of public health = Archives belges de sante publique · 2020
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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

8 authors.

Belinda J GabbeDepartment of Epidemiology and Preventive Medicine, Monash University, The Alfred Centre, Commercial Road, Melbourne, Victoria, 3004, Australia .
Ronan A LyonsFarr Institute, Swansea University Medical School, Swansea, Wales .
Pamela M SimpsonDepartment of Epidemiology and Preventive Medicine, Monash University, The Alfred Centre, Commercial Road, Melbourne, Victoria, 3004, Australia .
Frederick P RivaraThe Harbourview Injury Prevention and Research Center, University of Washington, Seattle, United States of America .
Shanthi AmeratungaSection of Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand .
Suzanne PolinderDepartment of Public Health, Erasmus MC, Rotterdam, Netherlands .
Sarah DerrettInjury Prevention Research Unit, University of Otago, Dunedin, New Zealand .
James E HarrisonResearch Centre for Injury Studies, Flinders University, Adelaide, Australia .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo create patient-based disability weights for individual injury diagnosis codes and nature-of-injury classifications, for use, as an alternative to panel-based weights, in studies on the burden of disease.

methodsSelf-reported data based on the EQ-5D standardized measure of health status were collected from 29 770 participants in the Injury-VIBES injury cohort study, which covered Australia, the Netherlands, New Zealand, the United Kingdom of Great Britain and Northern Ireland and the United States of America. The data were combined to calculate new disability weights for each common injury classification and for each type of diagnosis covered by the 10th revision of the

findingsThere were 29 770 injury cases with at least one EQ-5D score. The mean age of the participants providing data was 51 years. Most participants were male and almost a third had road traffic injuries. The new disability weights were higher for admitted cases than for cases confined to emergency departments and higher than the corresponding weights used by the Global Burden of Disease 2013 study. Long-term disability was common in most categories of injuries.

conclusionInjury is often a chronic disorder and burden of disease estimates should reflect this. Application of the new weights to burden studies would substantially increase estimates of disability-adjusted life-years and provide a more accurate reflection of the impact of injuries on peoples' lives.

Indexed as

Cost of IllnessDisability EvaluationWounds and InjuriesAdultAgedFemaleHealth SurveysHumansInternationalityMaleMiddle Aged

Identifiers

PMID27821883
PMCPMC5096353

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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.