Evidence map›Paper›PMID 26420314›Full record

ArticleHealth and quality of life outcomes2015

An empirical comparison of the OPQoL-Brief, EQ-5D-3 L and ASCOT in a community dwelling population of older people.

Billingsley Kaambwa, Liz Gill, Nicola McCaffrey, Emily Lancsar, Ian D Cameron, Maria Crotty, Len Gray, Julie Ratcliffe

Abstract readComparative Study
In one paragraph

Article in Health and quality of life outcomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Measurement properties of the EQ-5D in populations with a mean age of ≥ 75 years: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Pooled it
  2. Trial
  3. Trial
  4. Predicting EuroQol (EQ-5D-5 L) health state utilities from functional outcomes of sleep questionnaire (FOSQ-10) scores.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  5. Norwegian translation and adaptation of the INT4 version of the Adult Social Care Outcomes Toolkit (ASCOT).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  6. Article
  7. Use of the adult social care outcomes toolkit (ASCOT) in research studies: an international scoping review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. An empirical comparison of sleep-specific versus generic quality of life instruments among Australians with sleep disorders.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  12. Article
  13. Assessing the validity and responsiveness of a generic preference quality of life measure in the context of posttraumatic stress disorder.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Billingsley KaambwaFlinders Health Economics Group, Repatriation General Hospital, Flinders University, A Block, 202-16 Daws Road, Daw Park, SA 5041, Adelaide, Australia. billingsley.kaambwa@flinders.edu.au.
Liz GillJohn Walsh Centre for Rehabilitation Research, Kolling Institute of Medical Research, Sydney Medical School Northern, Royal North Shore Hospital, The University of Sydney, St Leonards, NSW 2065, Sydney, Australia. len.gray@uq.edu.au.
Nicola McCaffreyFlinders Health Economics Group, Repatriation General Hospital, Flinders University, A Block, 202-16 Daws Road, Daw Park, SA 5041, Adelaide, Australia. nicola.mccaffrey@flinders.edu.au.
Emily LancsarCentre for Health Economics, Monash Business School, Monash University, Level 2, Building 75, Clayton, VIC, 3800, Australia. emily.lancsar@monash.edu.
Ian D CameronJohn Walsh Centre for Rehabilitation Research, Kolling Institute of Medical Research, Sydney Medical School Northern, Royal North Shore Hospital, The University of Sydney, St Leonards, NSW 2065, Sydney, Australia. ian.cameron@sydney.edu.au.
Maria CrottyDepartment of Rehabilitation and Aged Care, Repatriation General Hospital, Flinders University, C Block, 202-16 Daws Road, Daw Park, SA 5041, Adelaide, Australia. maria.crotty@flinders.edu.au.
Len GrayCentre for Research in Geriatric Medicine & Centre for Online Health, Princess Alexandra Hospital, The University of Queensland, Level 2, Building 33, Ipswich Rd., Woolloongabba, Brisbane, 4102, Australia. liz.gill@sydney.edu.au.
Julie RatcliffeFlinders Health Economics Group, Repatriation General Hospital, Flinders University, A Block, 202-16 Daws Road, Daw Park, SA 5041, Adelaide, Australia. julie.ratcliffe@flinders.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study examined the relationships between a newly developed older person-specific non-preference-based quality of life (QoL) instrument (Older People's Quality of Life brief questionnaire (OPQoL-brief)) and two generic preference-based instruments (the EQ-5D-3L Level (EQ-5D-3 L) and the Adult Social Care Outcomes Toolkit (ASCOT) in a community-dwelling population of Australian older people receiving aged care services.

methodsWe formulated hypotheses about the convergent validity between the instruments (examined by Wilcoxon-Mann Whitney, Kruskal Wallis and Spearman's correlation tests) and levels of agreement (assessed using intra class correlation (ICC) and modified Bland-Altman plots based on normalized Z EQ-5D-3 L and ASCOT utilities and OPQoL-Brief summary scores).

resultsThe utilities/summary scores for 87 participants (aged 65-93 years) were moderately but positively correlated. Moderate convergent validity was evident for a number of instrument dimensions with the strongest relationship (r = 0.57) between 'enjoy life' (OPQoL-Brief) and 'social contact' (ASCOT). The overall ICC was 0.54 and Bland-Altman scatter plots showed 3-6% of normalized Z-scores were outside the 95% limits of agreement suggesting moderate agreement between all three instruments (agreement highest between the OPQoL-Brief and the ASCOT).

conclusionsOur results suggest that the OPQoL-Brief, the ASCOT and the EQ-5D_3L are suitable for measuring quality of life outcomes in community-dwelling populations of older people. Given the different constructs underpinning these instruments, we recommend that choice of instrument should be guided by the context in which the instruments are being applied. Currently, the OPQoL-Brief is not suitable for use in cost-utility analyses as it is not preference-based. Given their different perspectives, we recommend that both the ASCOT and the EQ-5D are applied simultaneously to capture broader aspects of quality of life and health status within cost-utility analyses within the aged care sector. Future research directed towards the development of a new single preference-based instrument that incorporates both health status and broader aspects of quality of life within quality adjusted life year calculations for older people would be beneficial.

Indexed as

Health StatusHealth Status IndicatorsActivities of Daily LivingAgedAged, 80 and overEmpirical ResearchFemaleGeriatric AssessmentHumansIndependent LivingMaleQuality of LifeReproducibility of ResultsSouth Australia

Identifiers

PMID26420314
PMCPMC4588872

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.