Evidence map›Paper›PMID 24719017›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2014

Modelling utility weights for the Assessment of Quality of Life (AQoL)-8D.

Jeff Richardson, Kompal Sinha, Angelo Iezzi, Munir A Khan

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
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69citing papers in PubMed, 3 pooled it
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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

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3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  15. Factors associated with health state valuations: a secondary analysis of an EQ-5D-3L valuation study from Jordan.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jeff RichardsonFaculty of Business and Economics, Centre for Health Economics, Monash University, Wellington Road, Clayton, VIC, 3800, Australia, jeffrey.richardson@monash.edu.
Kompal Sinha
Angelo Iezzi
Munir A Khan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objective of this paper is to describe the four-stage methodology used to obtain utility scores for the Assessment of Quality of Life (AQoL)-8D, a 35-item 8 dimension multi-attribute utility instrument, which was created to achieve a high degree of sensitivity to psycho-social health.

methodsData for the analyses were obtained from a representative group of 347 members of the Australian public and from 323 mental health patients each of whom provided VAS and time trade-off valuations of multiple health states. Data were used initially to create multiplicative scoring algorithms for each of the instrument's 8 dimensions and for the overall instrument. Each of the algorithms was then subject to a second-stage econometric 'correction'.

resultsAlgorithms were successfully created for each of the AQoL-8D's dimensions, for physical and mental 'super-dimensions' and for the overall AQoL-8D instrument. The final AQoL-8D algorithm has good predictive power with respect to the TTO valuations.

conclusionsThe AQoL-8D is a suitable instrument for researchers conducting cost utility analyses generally but, in particular, for the analysis of services affecting psycho-social health.

Indexed as

Mental HealthModels, PsychologicalAdolescentAdultAgedAlgorithmsAustraliaCase-Control StudiesCosts and Cost AnalysisFemaleHumansMaleMiddle AgedPsychometricsQuality of LifeSurveys and Questionnaires

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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.