Evidence map›Paper›PMID 38072498›Full record

ArticleBMJ open2023

Measuring the success of programmes of care for people living with dementia: a protocol for consensus building with consumers to develop a set of Core Outcome Measures for Improving Care (COM-IC).

Tracy Comans, Kim Nguyen, Len Gray, Leon Flicker, Paula Williamson, Susanna Dodd, Anna Kearney, Colm Cunningham, Thomas Morris, Jack Nunn and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. 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

20 authors.

Tracy ComansCentre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia t.comans@uq.edu.au.
Kim NguyenCentre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-2592-9372
Len GrayCentre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia.
Leon FlickerWA Centre for Health and Ageing, The University of Western Australia, Perth, Western Australia, Australia.
Paula WilliamsonDepartment of Health and Data Science, University of Liverpool, Liverpool, UK.
Susanna DoddDepartment of Health and Data Science, University of Liverpool, Liverpool, UK.
Anna KearneyDepartment of Health and Data Science, University of Liverpool, Liverpool, UK.
Colm CunninghamSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Thomas MorrisSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Jack NunnScience for All, Melbourne, Victoria, Australia.
Dominic TrepelGlobal Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
Osvaldo P AlmeidaWA Centre for Health and Ageing, The University of Western Australia, Perth, Western Australia, Australia.ORCID 0000-0002-8689-6199
Danelle KennyCentre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0001-7396-9742
Alyssa WelchCentre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia.
Judy A LowthianBolton Clarke Research Institute, Bolton Clarke, Brisbane, Queensland, Australia.ORCID 0000-0002-9780-5256
John QuinnCentre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia.
Glenys PetrieCentre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia.
Tiet-Hanh Dao-TranCentre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia.
Asmita ManchhaBolton Clarke Research Institute, Brisbane, Queensland, Australia.
Susan E KurrleSchool of Public Health, University of Sydney, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Core Outcome Measures for Improving Care (COM-IC) project aims to deliver practical recommendations on the selection and implementation of a suite of core outcomes to measure the effectiveness of interventions for dementia care. METHODS AND ANALYSIS: COM-IC embeds a participatory action approach to using the Alignment-Harmonisation-Results framework for measuring dementia care in Australia. Using this framework, suitable core outcome measures will be identified, analysed, implemented and audited. The methods for analysing each stage will be codesigned with stakeholders, through the conduit of a Stakeholder Reference Group including people living with dementia, formal and informal carers, aged care industry representatives, researchers, clinicians and policy actors. The codesigned evaluation methods consider two key factors: feasibility and acceptability. These considerations will be tested during a 6-month feasibility study embedded in aged care industry partner organisations. ETHICS AND DISSEMINATION: COM-IC has received ethical approval from The University of Queensland (HREC 2021/HE001932). Results will be disseminated through networks established over the project, and in accordance with both the publication schedule and requests from the Stakeholder Reference Group. Full access to publications and reports will be made available through UQ eSpace (https://espace.library.uq.edu.au/), an open access repository hosted by The University of Queensland.

Indexed as

DementiaAgedCaregiversConsensusHumansOutcome Assessment, Health CareQuality ImprovementDementiaFeasibility StudiesHealth Services for the AgedQuality in health care

Identifiers

PMID38072498
PMCPMC10729031

What OpenQuestion holds

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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.