Evidence map›Paper›PMID 34911445›Full record

ArticleBMC geriatrics2021

The integration of mixed methods data to develop the quality of life - aged care consumers (QOL-ACC) instrument.

Claire Hutchinson, Julie Ratcliffe, Jenny Cleland, Ruth Walker, Rachel Milte, Candice McBain, Megan Corlis, Victoria Cornell, Jyoti Khadka

Abstract read
In one paragraph

Article in BMC geriatrics, 2021. 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
–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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
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  7. 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
  8. Article
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  10. 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
  11. Article
  12. Observational
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  14. 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
  15. Article
  16. 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
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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

9 authors.

Claire HutchinsonCaring Futures Institute, Flinders University, Adelaide, Australia. claire.hutchinson@flinders.edu.au.
Julie RatcliffeCaring Futures Institute, Flinders University, Adelaide, Australia.
Jenny ClelandCollege of Nursing and Health Sciences, Flinders University, Adelaide, Australia.
Ruth WalkerCaring Futures Institute, Flinders University, Adelaide, Australia.
Rachel MilteCaring Futures Institute, Flinders University, Adelaide, Australia.
Candice McBainJohn Walsh Centre for Rehabilitation Research, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Megan CorlisAustralian Nursing and Midwifery Federation (SA Branch), Adelaide, Australia.
Victoria CornellECH Aged Care, Adelaide, Australia.
Jyoti KhadkaCaring Futures Institute, Flinders University, Adelaide, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis paper describes the collection and integration of mixed methods data to facilitate the final selection of items for the Quality of Life - Aged Care Consumers (QOL-ACC) instrument. The aim of the wider project is to develop a preference-based quality of life instrument that can be used for quality assessment and economic evaluation. Older people have been involved at every stage of the development of the QOL-ACC to ensure that the final instrument captures their perspectives and preferences.

methodsMixed methods data was collected on draft items for the QOL-ACC instrument across six key quality of life dimensions (mobility, pain management, emotional well-being, independence, social connections, and activities). Qualitative face validity data was collected from older people (aged 66 to 100 years) living in the community and in residential aged care via semi-structured interviews (n = 59). Quantitative data was collected from older people (aged 65 to 91 years) receiving aged care services in the community via an online survey (n = 313). A traffic light pictorial approach was adopted as a practical and systematic way to categorise and present data in a meaningful way that was easy for non-academic workshop members to understand and to be able to discuss the relative merits of each draft item.

resultsThe traffic light approach supported the involvement of consumer and aged care provider representatives in the selection of the final items. Six items were selected for the QOL-ACC instrument with one item representing each of the six dimensions.

conclusionsThis methodological approach has ensured that the final instrument is psychometrically robust as well as meaningful, relevant and acceptable to aged care consumers and providers.

Indexed as

Quality of LifeAgedCost-Benefit AnalysisHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesAged careEconomic evaluationMeasuring outcomesMixed methodsOlder peopleQuality of life

Identifiers

PMID34911445
PMCPMC8672336

What OpenQuestion holds

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LicenceCC BY
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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.