Evidence map›Paper›PMID 33316120›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2021

Optimizing a digital intervention for managing blood pressure in stroke patients using a diverse sample: Integrating the person-based approach and patient and public involvement.

Tanvi Rai, Kate Morton, Cristian Roman, Roisin Doogue, Cathy Rice, Marney Williams, Claire Schwartz, Carmelo Velardo, Lionel Tarassenko, Lucy Yardley and 2 more

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

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  10. A scoping review of patient and public involvement in empirical stroke research.International journal of stroke : official journal of the International Stroke Society · 2024
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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

12 authors.

Tanvi RaiNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0001-5201-9780
Kate MortonSchool of Psychology, University of Southampton, Southampton, UK.ORCID 0000-0002-6674-0314
Cristian RomanDepartment of Engineering Science, University of Oxford, UK.ORCID 0000-0002-9164-8659
Roisin DoogueGraduate Entry Medical School, University of Limerick, Limerick, Ireland.ORCID 0000-0002-4539-3982
Cathy RicePublic and Patient Involvement (PPI) Contributor, Bristol, UK.ORCID 0000-0001-5961-2413
Marney WilliamsPublic and Patient Involvement (PPI) Contributor, Bristol, UK.
Claire SchwartzNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-9408-3227
Carmelo VelardoDepartment of Engineering Science, University of Oxford, UK.ORCID 0000-0003-4836-3743
Lionel TarassenkoDepartment of Engineering Science, University of Oxford, UK.ORCID 0000-0002-0118-1646
Lucy YardleySchool of Psychology, University of Southampton, Southampton, UK.ORCID 0000-0002-3853-883X
Richard J McManusNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0003-3638-028X
Lisa HintonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-6082-3151

Funding

British Heart Foundation 2018-01Department of Health NIHR-RP-02-12-015
6 · The paper itself

Abstract

backgroundHaving a stroke or transient ischaemic attack increases the risk of a subsequent one, especially with high blood pressure (BP). Home-based BP management can be effective at maintaining optimal BP.

objectiveTo describe the optimization of a digital intervention for stroke patients and the value of participant diversity, using the person-based approach (PBA) and integral patient and public involvement (PPI). SETTING AND

participantsStroke patients recruited from primary care and community settings, and health-care professionals in primary care, in England and Ireland.

designThree linked qualitative studies conducted iteratively to develop an intervention using the PBA, with integral PPI.

interventionThe BP: Together intervention, adapted from existing BP self-monitoring interventions, is delivered via mobile phone or web interface to support self-monitoring of BP at home. It alerts patients and their clinicians when a change in antihypertensive medication is needed.

findingsFeedback from a diverse range of participants identified potential barriers, which were addressed to improve the intervention accessibility, feasibility and persuasiveness. Easy-to-read materials were developed to improve usability for patients with aphasia and lower literacy. The importance of including family members who support patient care was also highlighted. Feedback messages regarding medication change were refined to ensure usefulness for patients and clinicians. DISCUSSION: Input from PPI alongside qualitative research with a diverse study sample allowed the creation of a simple and equitable BP management intervention for stroke patients. PATIENT INVOLVEMENT: Two PPI co-investigators contributed to design, conduct of study, data interpretation and manuscript preparation; community PPI sessions informed early planning. Study participants were stroke patients and family members.

Indexed as

HypertensionStrokeAntihypertensive AgentsBlood PressureHumansPatient ParticipationAntihypertensive Agentsblood pressurecommunity-based recruitmentdigital healthhypertensionpatient and public involvementperson-based approachqualitative researchseldom-heard groupsself-monitoringstroke

Identifiers

PMID33316120
PMCPMC8077154

What OpenQuestion holds

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LicenceCC BY
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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.