Evidence map›Paper›PMID 29739782›Full record

Trial reportBMJ open2018

Qualitative process study to explore the perceived burdens and benefits of a digital intervention for self-managing high blood pressure in Primary Care in the UK.

Katherine Morton, Laura Dennison, Katherine Bradbury, Rebecca Jane Band, Carl May, James Raftery, Paul Little, Richard J McManus, Lucy Yardley

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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  8. Delineating and clarifying the concept of self-care monitoring: a concept analysis.International journal of qualitative studies on health and well-being · 2023
    Review
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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

9 authors at 2 institutions in 1 country.

Katherine MortonAcademic Unit of Psychology, University of Southampton, Southampton, UK.ORCID 0000-0002-6674-0314
Laura DennisonAcademic Unit of Psychology, University of Southampton, Southampton, UK.
Katherine BradburyAcademic Unit of Psychology, University of Southampton, Southampton, UK.
Rebecca Jane BandAcademic Unit of Psychology, University of Southampton, Southampton, UK.ORCID 0000-0001-5403-1708
Carl MayFaculty of Health Sciences, University of Southampton, Southampton, UK.
James RafteryFaculty of Medicine, Southampton University, Southampton, UK.
Paul LittlePrimary Care Research, University of Southampton, Southampton, UK.
Richard J McManusNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0003-3638-028X
Lucy YardleyAcademic Unit of Psychology, University of Southampton, Southampton, UK.
University of Southampton · GBUniversity of Oxford · GB

Funding

Department of Health NIHR-RP-02-12-015Department of Health NIHR-RP-R2-12-015Department of Health RP-PG-1211-20001
6 · The paper itself

Abstract

objectivesDigital interventions can change patients' experiences of managing their health, either creating additional burden or improving their experience of healthcare. This qualitative study aimed to explore perceived burdens and benefits for patients using a digital self-management intervention for reducing high blood pressure. A secondary aim was to further our understanding of how best to capture burdens and benefits when evaluating health interventions.

designInductive qualitative process study nested in a randomised controlled trial.

settingPrimary Care in the UK.

participants35 participants taking antihypertensive medication and with uncontrolled blood pressure at baseline participated in semistructured telephone interviews.

interventionDigital self-management intervention to support blood pressure self-monitoring and medication change when recommended by the healthcare professional. ANALYSIS: Data were analysed using inductive thematic analysis with techniques from grounded theory.

resultsSeven themes were developed which reflected perceived burdens and benefits of using the intervention, including worry about health, uncertainty about self-monitoring and reassurance. The analysis showed how beliefs about their condition and treatment appeared to influence participants' appraisal of the value of the intervention. This suggested that considering illness and treatment perceptions in Burden of Treatment theory could further our understanding of how individuals appraise the personal costs and benefits of self-managing their health.

conclusionsPatients' appraisal of the burden or benefit of using a complex self-management intervention seemed to be influenced by experiences within the intervention (such as perceived availability of support) and beliefs about their condition and treatment (such as perceived control and risk of side effects). Developing our ability to adequately capture these salient burdens and benefits for patients could help enhance evaluation of self-management interventions in the future. Many participants perceived important benefits from using the intervention, highlighting the need for theory to recognise that engaging in self-management can include positive as well as negative aspects. TRIAL REGISTRATION NUMBER: ISRCTN13790648; Pre-results.

Indexed as

Self-ManagementTelemedicineAdultAgedAged, 80 and overAntihypertensive AgentsBlood PressureFemaleHumansHypertensionInterviews as TopicMaleMiddle AgedPrimary Health CareQualitative ResearchUnited KingdomAntihypertensive Agentsdigital interventionqualitativeself-managementtreatment burden

Identifiers

PMID29739782
PMCPMC5942415
OpenAlexW2802947681

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.