Evidence map›Paper›PMID 35331325›Full record

ReviewArchives of public health = Archives belges de sante publique2022

A systematic literature review of disability weights measurement studies: evolution of methodological choices.

Periklis Charalampous, Suzanne Polinder, Jördis Wothge, Elena von der Lippe, Juanita A Haagsma

Abstract readReview
In one paragraph

Review in Archives of public health = Archives belges de sante publique, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 7 pooled it
–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

33 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  11. 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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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

5 authors.

Periklis CharalampousDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands. p.charalampous@erasmusmc.nl.ORCID http://orcid.org/0000-0002-3460-4828
Suzanne PolinderDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Jördis WothgeGerman Environment Agency, Section Noise Abatement of Industrial Plants and Products, Noise Impact, Wörlitzer Pl. 1, 06844, Dessau-Roßlau, Germany.
Elena von der LippeDepartment of Epidemiology and Health Monitorin, Robert Koch Institute, Berlin, Germany.
Juanita A HaagsmaDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.

Funding

Umweltbundesamt Az 60 430/0018
6 · The paper itself

Abstract

backgroundThe disability weight is an essential factor to estimate the healthy time that is lost due to living with a certain state of illness. A 2014 review showed a considerable variation in methods used to derive disability weights. Since then, several sets of disability weights have been developed. This systematic review aimed to provide an updated and comparative overview of the methodological design choices and surveying techniques that have been used in disability weights measurement studies and how they evolved over time.

methodsA literature search was conducted in multiple international databases (early-1990 to mid-2021). Records were screened according to pre-defined eligibility criteria. The quality of the included disability weights measurement studies was assessed using the Checklist for Reporting Valuation Studies (CREATE) instrument. Studies were collated by characteristics and methodological design approaches. Data extraction was performed by one reviewer and discussed with a second.

resultsForty-six unique disability weights measurement studies met our eligibility criteria. More than half (n = 27; 59%) of the identified studies assessed disability weights for multiple ill-health outcomes. Thirty studies (65%) described the health states using disease-specific descriptions or a combination of a disease-specific descriptions and generic-preference instruments. The percentage of studies obtaining health preferences from a population-based panel increased from 14% (2004-2011) to 32% (2012-2021). None of the disability weight studies published in the past 10 years used the annual profile approach. Most studies performed panel-meetings to obtain disability weights data.

conclusionsOur review reveals that a methodological uniformity between national and GBD disability weights studies increased, especially from 2010 onwards. Over years, more studies used disease-specific health state descriptions in line with those of the GBD study, panel from general populations, and data from web-based surveys and/or household surveys. There is, however, a wide variation in valuation techniques that were used to derive disability weights at national-level and that persisted over time.

Indexed as

Burden of diseaseDisability adjusted life yearsDisability weightValuation of health states

Identifiers

PMID35331325
PMCPMC8944058

What OpenQuestion holds

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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.