Evidence map›Paper›PMID 22834978›Full record

Trial reportBMC health services research2012

Exploring barriers to participation and adoption of telehealth and telecare within the Whole System Demonstrator trial: a qualitative study.

Caroline Sanders, Anne Rogers, Robert Bowen, Peter Bower, Shashivadan Hirani, Martin Cartwright, Ray Fitzpatrick, Martin Knapp, James Barlow, Jane Hendy and 3 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC health services research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
176citing papers in PubMed, 17 pooled it
39.9field-weighted citation impact, top 1% 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

176 citing papers in PubMed, 17 syntheses or guidelines pooled it, 467 citations in OpenAlex.

  1. Digital Patient Experience: Umbrella Systematic Review.Journal of medical Internet research · 2022
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116 more citing papers are in PubMed but not listed here.

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

13 authors at 8 institutions in 2 countries.

Caroline SandersHealth Sciences Research Group (Primary Care), The University of Manchester, 5th Floor, Williamson Building, Oxford Rd, Manchester, UK. caroline.sanders@manchester.ac.uk
Anne Rogers
Robert Bowen
Peter Bower
Shashivadan Hirani
Martin Cartwright
Ray Fitzpatrick
Martin Knapp
James Barlow
Jane Hendy
Theti Chrysanthaki
Martin Bardsley
Stanton P Newman
University of Manchester · GBCity, University of London · GBImperial College London · GBLondon School of Economics and Political Science · GBNuffield Trust · GBRMIT University · AUUniversity of Oxford · GBUniversity of Surrey · GB

Funding

Department of Health
6 · The paper itself

Abstract

backgroundTelehealth (TH) and telecare (TC) interventions are increasingly valued for supporting self-care in ageing populations; however, evaluation studies often report high rates of non-participation that are not well understood. This paper reports from a qualitative study nested within a large randomised controlled trial in the UK: the Whole System Demonstrator (WSD) project. It explores barriers to participation and adoption of TH and TC from the perspective of people who declined to participate or withdrew from the trial.

methodsQualitative semi-structured interviews were conducted with 22 people who declined to participate in the trial following explanations of the intervention (n = 19), or who withdrew from the intervention arm (n = 3). Participants were recruited from the four trial groups (with diabetes, chronic obstructive pulmonary disease, heart failure, or social care needs); and all came from the three trial areas (Cornwall, Kent, east London). Observations of home visits where the trial and interventions were first explained were also conducted by shadowing 8 members of health and social care staff visiting 23 people at home. Field notes were made of observational visits and explored alongside interview transcripts to elicit key themes.

resultsBarriers to adoption of TH and TC associated with non-participation and withdrawal from the trial were identified within the following themes: requirements for technical competence and operation of equipment; threats to identity, independence and self-care; expectations and experiences of disruption to services. Respondents held concerns that special skills were needed to operate equipment but these were often based on misunderstandings. Respondents' views were often explained in terms of potential threats to identity associated with positive ageing and self-reliance, and views that interventions could undermine self-care and coping. Finally, participants were reluctant to risk potentially disruptive changes to existing services that were often highly valued.

conclusionsThese findings regarding perceptions of potential disruption of interventions to identity and services go beyond more common expectations that concerns about privacy and dislike of technology deter uptake. These insights have implications for health and social care staff indicating that more detailed information and time for discussion could be valuable especially on introduction. It seems especially important for potential recipients to have the opportunity to discuss their expectations and such views might usefully feed back into design and implementation.

Indexed as

Diffusion of InnovationTelemedicineAdultAgedAged, 80 and overFemaleHealth Knowledge, Attitudes, PracticeHealth Services Needs and DemandHouse CallsHumansLondonMaleMiddle AgedPatient DropoutsQualitative ResearchSelf Care

Identifiers

PMID22834978
PMCPMC3413558
OpenAlexW2110228606

What OpenQuestion holds

Textmetadata
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.