Evidence map›Paper›PMID 41615943›Full record

ArticlePloS one2026

Effectiveness of dyadic interventions in improving outcomes for adults with multiple long-term conditions and/or frailty and their informal carers: A systematic review protocol.

Stella Arakelyan, Michaela Gilarova, Mozhu Ding, Atul Jaiswal, Atul Anand, Karin Modig, Maria Kristiansen, Daniela Lillekroken, Susan D Shenkin, Jill Manthorpe and 1 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Stella ArakelyanAdvanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0003-0326-707X
Michaela GilarovaAdvanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0009-0008-7914-1370
Mozhu DingUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Atul JaiswalCentre of Excellence in Frailty-Informed CareTM, Perley Health, Ottawa, Canada.
Atul AnandCentre for Cardiovascular Science, Chancellor's Building, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-6428-4554
Karin ModigUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Maria KristiansenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID https://orcid.org/0000-0003-2319-3637
Daniela LillekrokenDepartment of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway.
Susan D ShenkinAdvanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-7375-4776
Jill ManthorpeNIHR Policy Research Unit in Health and Social Care Workforce, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-9006-1410
Bruce GuthrieAdvanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0003-4191-4880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo synthesise current evidence on the effectiveness of dyadic (pair-based) interventions in improving outcomes for adults with multiple long-term conditions (MLTC) and/or frailty (aged ≥55 years) and their informal carers.

methodsThe review protocol followed the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines, with the protocol registered with PROSPERO (CRD420251144604). MEDLINE, Embase, PsycINFO, CINAHL Plus, CENTRAL, ClinicalTrials.gov will be searched for experimental and quasi-experimental studies examining the effectiveness of community-based dyadic interventions for adults with MLTC (≥2 long-term conditions within an individual) and/or frailty (aged ≥55 years) and their informal carers (spouses/partners, other family members or relatives) published since 2010 and up to September 2025. Dyadic interventions will be defined as pair-based interventions that directly involve informal carers and care recipient adults with MLTC and/or frailty using various techniques targeted at carers, care recipients, or both to change outcomes for at least one member of the carer/care recipient pair (or dyad). Database searches will be followed by a manual search of the reference lists of included studies and lists of papers citing included studies in order to identify additional studies. Two reviewers will independently screen titles and abstracts against the selection criteria and independently screen full texts using Covidence software. Methodological quality will be assessed using the Cochrane Risk of Bias (RoB) 2.0 tool for experimental studies and the Risk Of Bias In Non-randomised Studies of Interventions (ROBINS-I) tool for quasi-experimental studies. Synthesis of evidence will be quantitative. If meta-analysis is not possible, we will follow Cochrane recommendations for quantitative Synthesis Without Meta-Analysis (SWiM) guidance.

conclusionThe findings will address the evidence gap in dyadic implementation research in later life and help inform clinical decision-making, policy development and program planning for adults with MLTC and/or frailty and their carers, particularly in primary care and other community health settings.

Indexed as

CaregiversFrailtyChronic DiseaseFrail ElderlyHumansQuality of LifeSystematic Reviews as Topic

Identifiers

PMID41615943
PMCPMC12857980

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.