Evidence map›Paper›PMID 39701976›Full record

ArticleBMC cardiovascular disorders2024

A service evaluation of the implementation of a novel digital intervention for hypertension self-monitoring and management system in primary care (SHIP): protocol for a mixed methods study.

Anne Smith, Katherine L Tucker, Rebecca K Barnes, Cynthia Wright Drakesmith, Adaku Agwunobi, Paul A Bateman, Anna Forbes, Simon de Lusignan, Gary A Ford, Takeshi Fujiwara and 8 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

18 authors.

Anne SmithNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
Katherine L TuckerNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
Rebecca K BarnesNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
Cynthia Wright DrakesmithNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
Adaku AgwunobiNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
Paul A BatemanNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
Anna ForbesNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
Simon de LusignanNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
Gary A FordRadcliffe Department of Medicine, Oxford University Hospitals NHS Foundation Trust, University of Oxford, Oxford, England.
Takeshi FujiwaraNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
F D Richard HobbsNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
Constantinos KoshiarisNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
Jonathan MantPrimary Care Unit, Department of Public Health and& Primary Care Research, University of Cambridge, Cambridge, England.
Brian McKinstryCentre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland.
Stephanie PollockNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
Cathy RicePatient and Public Involvement contributor, Bristol, Scotland.
Yaling YangNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK.
Richard J McManusNuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Radcliffe Primary Care Building, Oxford, OX2 6GG, UK. r.mcmanus@bsms.ac.uk.

Funding

National Institute for Health and Care Research NIHR OTV ARC
6 · The paper itself

Abstract

backgroundHypertension is a key risk factor for death and disability, and blood pressure reduction is associated with significant reductions in cardiovascular risk. Large trials have shown that interventions including self-monitoring of blood pressure can reduce blood pressure but real-world data from wider implementation are lacking.

aimThe self-monitoring and management service evaluation in primary care (SHIP) study will evaluate a novel digital intervention for hypertension management and medication titration platform ("Hypertension-Plus") that is currently undergoing initial implementation into primary care in several parts of the UK. METHODS AND ANALYSES: The study will use a mixed methods approach including both quantitative analysis of anonymised electronic health record data and qualitative analyses of interview and customer support log data. Pseudonymised data will be extracted from electronic health records and outcomes compared between those using the digital intervention and their own historical data, as well as to those not registered to the system. The primary outcome will be difference in systolic blood pressure in the 12 months before and after implementation. A further analysis will utilise self-monitored blood pressure data from the Hypertension-Plus system itself. Semi-structured qualitative interviews will be completed with implementation and clinical leads, staff and patients in six general practices located in two different geographical areas in England. Informed by the non-adoption, abandonment, scale-up, spread, and sustainability (NASSS) framework, our analysis will identify the challenges to successful implementation and sustainability of the digital intervention in routine clinical practice and in patients' homes. ETHICS AND DISSEMINATION: The analyses of pseudonymised data were assessed by the sponsor (The University of Oxford) as service evaluation not requiring individual consent and hence did not require ethical approval. Ethics approval for the qualitative analyses was provided by Wales REC 4 (21/WA/0280) and individual written informed consent will be gained for all participants. Results will be published in peer-reviewed journals, presented at national and international conferences and disseminated via patient and health service organisations. DISCUSSION: This study will provide an in-depth analysis of the impact and acceptance of initial implementation of a novel digital intervention, enhancing our understanding and supporting more effective implementation of telemonitoring based hypertension management systems for blood pressure control in England.

Indexed as

Antihypertensive AgentsBlood PressureHypertensionPrimary Health CareBlood Pressure Monitoring, AmbulatoryElectronic Health RecordsHumansQualitative ResearchSelf CareTelemedicineTime FactorsTreatment OutcomeAntihypertensive AgentsBlood pressureDigital interventionHypertensionImplementationSelf-monitoringTelemonitoring

Identifiers

PMID39701976
PMCPMC11657261

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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.