Evidence map›Paper›PMID 36914198›Full record

ArticleBMJ open2023

Acceptability of a behavioural intervention to mitigate the psychological impacts of COVID-19 restrictions in older people with long-term conditions: a qualitative study.

Leanne Shearsmith, Peter A Coventry, Claire Sloan, Andrew Henry, Liz Newbronner, Elizabeth Littlewood, Della Bailey, Samantha Gascoyne, Lauren Burke, Eloise Ryde and 5 more

Open access · goldFull text read
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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

15 authors at 4 institutions in 3 countries.

Leanne ShearsmithLeeds Institute of Health Sciences, University of Leeds, Leeds, UK L.Shearsmith@leeds.ac.uk.ORCID 0000-0002-6575-0529
Peter A CoventryDepartment of Health Sciences, University of York, York, UK.
Claire SloanDepartment of Health Sciences, University of York, York, UK.
Andrew HenryDepartment of Health Sciences, University of York, York, UK.
Liz NewbronnerDepartment of Health Sciences, University of York, York, UK.ORCID 0000-0003-2366-9981
Elizabeth LittlewoodDepartment of Health Sciences, University of York, York, UK.
Della BaileyDepartment of Health Sciences, University of York, York, UK.
Samantha GascoyneDepartment of Health Sciences, University of York, York, UK.
Lauren BurkeDepartment of Health Sciences, University of York, York, UK.
Eloise RydeDepartment of Health Sciences, University of York, York, UK.
Rebecca WoodhouseDepartment of Health Sciences, University of York, York, UK.
Dean McMillanDepartment of Health Sciences, University of York, York, UK.
David EkersDepartment of Health Sciences, University of York, York, UK.
Simon GilbodyDepartment of Health Sciences, University of York, York, UK.
Carolyn Chew-GrahamSchool of Medicine, Keele University, Keele, UK.ORCID 0000-0002-9722-9981
Department of Medical Sciences · BYIndiana University School of MedicineSustainability Institute · ZAUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe COVID-19 pandemic heightened the need to address loneliness, social isolation and associated incidence of depression among older adults. Between June and October 2020, the Behavioural Activation in Social IsoLation (BASIL) pilot study investigated the acceptability and feasibility of a remotely delivered brief psychological intervention (behavioural cctivation) to prevent and reduce loneliness and depression in older people with long-term conditions during the COVID-19 pandemic.

designAn embedded qualitative study was conducted. Semi-structured interviews generated data that was analysed inductively using thematic analysis and then deductively using the theoretical framework of acceptability (TFA).

settingNHS and third sector organisations in England.

participantsSixteen older adults and nine support workers participating in the BASIL pilot study.

resultsAcceptability of the intervention was high across all constructs of the TFA: Older adults and BASIL Support Workers described a positive Affective Attitude towards the intervention linked to altruism, however the activity planning aspect of the intervention was limited due to COVID-19 restrictions. A manageable Burden was involved with delivering and participating in the intervention. For Ethicality, older adults valued social contact and making changes, support workers valued being able to observe those changes. The intervention was understood by older adults and support workers, although less understanding in older adults without low mood (Intervention Coherence). Opportunity Cost was low for support workers and older adults. Behavioural Activation was perceived to be useful in the pandemic and likely to achieve its aims (Perceived Effectiveness), especially if tailored to people with both low mood and long-term conditions. Self-efficacy developed over time and with experience for both support workers and older adults.

conclusionsOverall, BASIL pilot study processes and the intervention were acceptable. Use of the TFA provided valuable insights into how the intervention was experienced and how the acceptability of study processes and the intervention could be enhanced ahead of the larger definitive trial (BASIL+).

Indexed as

COVID-19AgedBehavior TherapyDepressionHumansPandemicsPilot ProjectsCOVID-19Depression & mood disordersQUALITATIVE RESEARCH

Identifiers

PMID36914198
PMCPMC10015671
OpenAlexW4324101896

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read4
identifiers read1
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.