Evidence map›Paper›PMID 29723262›Full record

ArticlePloS one2018

Using the Person-Based Approach to optimise a digital intervention for the management of hypertension.

Katherine Bradbury, Katherine Morton, Rebecca Band, Anne van Woezik, Rebecca Grist, Richard J McManus, Paul Little, Lucy Yardley

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

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

  1. Supporting families managing childhood eczema: developing and optimising eczema care online using qualitative research.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
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  11. Implementation of My Hearing PREM Into Three UK Audiology Services: A Pluralist Approach to Planning, Design and Evaluation.Health expectations : an international journal of public participation in health care and health policy · 2026
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18 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

8 authors.

Katherine BradburyUniversity of Southampton, Academic unit of psychology, University of Southampton, Southampton, United Kingdom.ORCID 0000-0001-5513-7571
Katherine MortonUniversity of Southampton, Academic unit of psychology, University of Southampton, Southampton, United Kingdom.
Rebecca BandUniversity of Southampton, Academic unit of psychology, University of Southampton, Southampton, United Kingdom.
Anne van WoezikRotterdam University of Applied Science, Healthcare technology, Rotterdam University of Applied Science, Rotterdam, Netherlands.
Rebecca GristBrighton, School of Applied Social Science, Falmer, Brighton, United Kingdom.
Richard J McManusUniversity of Oxford, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Paul LittleUniversity of Southampton, Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Lucy YardleyUniversity of Southampton, Academic unit of psychology, University of Southampton, Southampton, United Kingdom.

Funding

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

Abstract

backgroundFor behaviour-change interventions to be successful they must be acceptable to users and overcome barriers to behaviour change. The Person-Based Approach can help to optimise interventions to maximise acceptability and engagement. This article presents a novel, efficient and systematic method that can be used as part of the Person-Based Approach to rapidly analyse data from development studies to inform intervention modifications. We describe how we used this approach to optimise a digital intervention for patients with hypertension (HOME BP), which aims to implement medication and lifestyle changes to optimise blood pressure control.

methodsIn study 1, hypertensive patients (N = 12) each participated in three think-aloud interviews, providing feedback on a prototype of HOME BP. In study 2 patients (N = 11) used HOME BP for three weeks and were then interviewed about their experiences. Studies 1 and 2 were used to identify detailed changes to the intervention content and potential barriers to engagement with HOME BP. In study 3 (N = 7) we interviewed hypertensive patients who were not interested in using an intervention like HOME BP to identify potential barriers to uptake, which informed modifications to our recruitment materials. Analysis in all three studies involved detailed tabulation of patient data and comparison to our modification criteria.

resultsStudies 1 and 2 indicated that the HOME BP procedures were generally viewed as acceptable and feasible, but also highlighted concerns about monitoring blood pressure correctly at home and making medication changes remotely. Patients in study 3 had additional concerns about the safety and security of the intervention. Modifications improved the acceptability of the intervention and recruitment materials.

conclusionsThis paper provides a detailed illustration of how to use the Person-Based Approach to refine a digital intervention for hypertension. The novel, efficient approach to analysis and criteria for deciding when to implement intervention modifications described here may be useful to others developing interventions.

Indexed as

Blood PressureDisease ManagementAdultAgedAged, 80 and overAntihypertensive AgentsBlood Pressure DeterminationBlood Pressure Monitoring, AmbulatoryFemaleHumansHypertensionMaleMiddle AgedSelf CareSurveys and QuestionnairesTelemedicineAntihypertensive Agents

Identifiers

PMID29723262
PMCPMC5933761

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.