Evidence map›Paper›PMID 36166651›Full record

ArticleJMIR formative research2022

Digital Peer-Supported Self-Management Intervention Codesigned by People With Long COVID: Mixed Methods Proof-of-Concept Study.

Hayley Wright, Andrew Turner, Stuart Ennis, Carol Percy, Garry Loftus, Wendy Clyne, Gabriela Matouskova, Faith Martin

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  8. The Patient Reported Inventory of Self-Management of Chronic Conditions (PRISM-CC): testing for bias across patient characteristics and languages.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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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

8 authors.

Hayley Wright *Centre for Intelligent Healthcare, Coventry University, Coventry, United Kingdom.ORCID https://orcid.org/0000-0003-2199-8255
Andrew Turner *Centre for Intelligent Healthcare, Coventry University, Coventry, United Kingdom.ORCID https://orcid.org/0000-0001-6538-4242
Stuart Ennis *Department of Cardiac Rehabilitation, University Hospitals Coventry & Warwickshire NHS Trust, Coventry, United Kingdom.ORCID https://orcid.org/0000-0002-7176-6252
Carol PercySchool of Psychological, Social and Behavioural Sciences, Faculty of Health and Life Sciences, Coventry University, Coventry, United Kingdom.ORCID https://orcid.org/0000-0001-7255-3657
Garry Loftus *Hope For The Community Community Interest Company, Enterprise Hub, Coventry, United Kingdom.ORCID https://orcid.org/0000-0002-2286-8025
Wendy ClynePeninsula Medical School, University of Plymouth, Plymouth, United Kingdom.ORCID https://orcid.org/0000-0003-1523-7003
Gabriela MatouskovaHope For The Community Community Interest Company, Enterprise Hub, Coventry, United Kingdom.ORCID https://orcid.org/0000-0002-5743-5342
Faith MartinCentre for Intelligent Healthcare, Coventry University, Coventry, United Kingdom.ORCID https://orcid.org/0000-0002-0141-1210

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are around 1.3 million people in the United Kingdom with the devastating psychological, physical, and cognitive consequences of long COVID (LC). UK guidelines recommend that LC symptoms be managed pragmatically with holistic support for patients' biopsychosocial needs, including psychological, emotional, and physical health. Self-management strategies, such as pacing, prioritization, and goal setting, are vital for the self-management of many LC symptoms.

objectiveThis paper describes the codevelopment and initial testing of a digital intervention combining peer support with positive psychology approaches for self-managing the physical, emotional, psychological, and cognitive challenges associated with LC. The objectives of this study were to (1) codesign an intervention with and for people with LC; (2) test the intervention and study methods; (3) measure changes in participant well-being, self-efficacy, fatigue, and loneliness; and (4) understand the types of self-management goals and strategies used by people with LC.

methodsThe study used a pre-post, mixed methods, pragmatic, uncontrolled design. Digital intervention content was codeveloped with a lived-experience group to meet the needs uncovered during the intervention development and logic mapping phase. The resulting 8-week digital intervention, Hope Programme for Long COVID, was attended by 47 participants, who completed pre- and postprogram measures of well-being, self-efficacy, fatigue, and loneliness. Goal-setting data were extracted from the digital platform at the end of the intervention.

resultsThe recruitment rate (n=47, 83.9%) and follow-up rate (n=28, 59.6%) were encouraging. Positive mental well-being (mean difference 6.5, P<.001) and self-efficacy (mean difference 1.1, P=.009) improved from baseline to postcourse. All goals set by participants mapped onto the 5 goal-oriented domains in the taxonomy of everyday self-management strategies (TEDSS). The most frequent type of goals was related to activity strategies, followed by health behavior and internal strategies.

conclusionsThe bespoke self-management intervention, Hope Programme for Long COVID, was well attended, and follow-up was encouraging. The sample characteristics largely mirrored those of the wider UK population with LC. Although not powered to detect statistically significant changes, the preliminary data show improvements in self-efficacy and positive mental well-being. Our next trial (ISRCTN: 11868601) will use a nonrandomized waitlist control design to further examine intervention efficacy.

Indexed as

cognitiveCOVID-19digital interventionefficacygoal settinginterventionlong COVIDpeer supportphysicalpsychologicalself-managementUKUnited Kingdom

Identifiers

PMID36166651
PMCPMC9578526

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.