Evidence map›Paper›PMID 35922616›Full record

ArticlePharmacoEconomics2022

Valuing the Quality-of-Life Aged Care Consumers (QOL-ACC) Instrument for Quality Assessment and Economic Evaluation.

Julie Ratcliffe, Siobhan Bourke, Jinhu Li, Brendan Mulhern, Claire Hutchinson, Jyoti Khadka, Rachel Milte, Emily Lancsar

Open access · hybridAbstract read
In one paragraph

Article in PharmacoEconomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
9.0field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Determining the quality of life-aged care consumer threshold to identify good quality of life in older adults in long-term care.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  7. Article
  8. Prevalence of Hearing, Vision and Cognitive Impairment and Impact in Older Adults in Home Care: A Study Protocol.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  9. Article
  10. Observational
  11. Article
  12. Quality of care experience- aged care consumers (QCE-ACC) in residential aged care: an assessment of construct validity.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Developing a utility value set for the Gambling Quality of Life Scale-Brief (GQoLS-Brief) using a discrete choice experiment.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  17. Protocol for a Field Trial of a Hearing and Vision Support Intervention for People Living in Long-Term Care in Australia.Health expectations : an international journal of public participation in health care and health policy · 2025
    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 at 3 institutions in 1 country.

Julie RatcliffeHealth and Social Care Economics Group, Caring Futures Institute, Flinders University, Bedford Park, SA, Australia. julie.ratcliffe@flinders.edu.au.ORCID 0000-0001-7365-1988
Siobhan BourkeDepartment of Health Services Research and Policy, College of Health and Medicine, The Australian National University, Canberra, ACT, Australia.ORCID 0000-0001-8861-9841
Jinhu LiDepartment of Health Services Research and Policy, College of Health and Medicine, The Australian National University, Canberra, ACT, Australia.ORCID 0000-0002-6896-9518
Brendan MulhernCentre for Health Economics Research and Evaluation, University of Technology Sydney, Ultimo, NSW, Australia.ORCID 0000-0003-3656-8063
Claire HutchinsonHealth and Social Care Economics Group, Caring Futures Institute, Flinders University, Bedford Park, SA, Australia.ORCID 0000-0003-4289-8886
Jyoti KhadkaHealth and Social Care Economics Group, Caring Futures Institute, Flinders University, Bedford Park, SA, Australia.ORCID 0000-0003-1012-2119
Rachel MilteHealth and Social Care Economics Group, Caring Futures Institute, Flinders University, Bedford Park, SA, Australia.ORCID 0000-0001-7533-6260
Emily LancsarDepartment of Health Services Research and Policy, College of Health and Medicine, The Australian National University, Canberra, ACT, Australia.ORCID 0000-0003-2404-6735
Flinders University · AUAustralian National University · AUUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis paper reports on the valuation of the classification system for the Quality-of-Life Aged Care Consumers (QOL-ACC) instrument using a discrete choice experiment (DCE) with duration with a large sample of older people receiving aged care services.

methodsA DCE with 160 choice sets of two quality-of-life state-survival duration combinations blocked into 20 survey versions, with eight choice sets in each version, was designed and administered through an on-line survey to older Australians receiving aged care services in home and via interviewer facilitation with older people in residential aged care settings. Model specifications investigating preferences with respect to survival duration and interactions between QOL-ACC dimension levels were estimated. Utility weights were developed, with estimated coefficients transformed to the 0 (being dead) to 1 (full health) scale to generate a value set suitable for application in quality assessment and for the calculation of quality-adjusted life-years for use in economic evaluation.

resultsIn total, 953 older people completed the choice experiment with valid responses. The estimation results from econometric model specifications indicated that utility increased with survival duration and decreased according to quality-of-life impairment levels. An Australian value set (range - 0.56 to 1.00) was generated for the calculation of utilities for all QOL-ACC states.

conclusionThe QOL-ACC is unique in its focus on measuring and valuing quality of life from the perspective of older people themselves, thereby ensuring that the preferences of aged care service users are the primary focus for quality assessment and economic evaluation.

Indexed as

Health StatusQuality of LifeAgedAustraliaCost-Benefit AnalysisHumansQuality-Adjusted Life YearsSurveys and Questionnaires

Identifiers

PMID35922616
PMCPMC9550725
OpenAlexW4289704701

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.