Individual patient data meta-analysis of self-monitoring of blood pressure (BP-SMART): a protocol.

dc.contributor.author

Tucker, Katherine L

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Sheppard, James P

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Stevens, Richard

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Bosworth, Hayden B

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Bove, Alfred

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Bray, Emma P

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Godwin, Marshal

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Green, Beverly

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Hebert, Paul

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Hobbs, FD Richard

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Kantola, Ilkka

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Kerry, Sally

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Magid, David J

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Mant, Jonathan

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Margolis, Karen L

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McKinstry, Brian

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Omboni, Stefano

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Ogedegbe, Olugbenga

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Parati, Gianfranco

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Qamar, Nashat

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Varis, Juha

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Verberk, Willem

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Wakefield, Bonnie J

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McManus, Richard J

dc.date.accessioned

2024-01-31T20:33:39Z

dc.date.available

2024-01-31T20:33:39Z

dc.date.issued

2015-09

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Introduction

Self-monitoring of blood pressure is effective in reducing blood pressure in hypertension. However previous meta-analyses have shown a considerable amount of heterogeneity between studies, only part of which can be accounted for by meta-regression. This may be due to differences in design, recruited populations, intervention components or results among patient subgroups. To further investigate these differences, an individual patient data (IPD) meta-analysis of self-monitoring of blood pressure will be performed.

Methods and analysis

We will identify randomised trials that have compared patients with hypertension who are self-monitoring blood pressure with those who are not and invite trialists to provide IPD including clinic and/or ambulatory systolic and diastolic blood pressure at baseline and all follow-up points where both intervention and control groups were measured. Other data requested will include measurement methodology, length of follow-up, cointerventions, baseline demographic (age, gender) and psychosocial factors (deprivation, quality of life), setting, intensity of self-monitoring, self-monitored blood pressure, comorbidities, lifestyle factors (weight, smoking) and presence or not of antihypertensive treatment. Data on all available patients will be included in order to take an intention-to-treat approach. A two-stage procedure for IPD meta-analysis, stratified by trial and taking into account age, sex, diabetes and baseline systolic BP will be used. Exploratory subgroup analyses will further investigate non-linear relationships between the prespecified variables. Sensitivity analyses will assess the impact of trials which have and have not provided IPD.

Ethics and dissemination

This study does not include identifiable data. Results will be disseminated in a peer-reviewed publication and by international conference presentations.

Conclusions

IPD analysis should help the understanding of which self-monitoring interventions for which patient groups are most effective in the control of blood pressure.
dc.identifier

bmjopen-2015-008532

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2044-6055

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2044-6055

dc.identifier.uri

https://hdl.handle.net/10161/29951

dc.language

eng

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BMJ

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BMJ open

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10.1136/bmjopen-2015-008532

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https://creativecommons.org/licenses/by-nc/4.0

dc.subject

Humans

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Hypertension

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Antihypertensive Agents

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Self Care

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Life Style

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Comorbidity

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Blood Pressure

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Quality of Life

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Meta-Analysis as Topic

dc.title

Individual patient data meta-analysis of self-monitoring of blood pressure (BP-SMART): a protocol.

dc.type

Journal article

duke.contributor.orcid

Bosworth, Hayden B|0000-0001-6188-9825

pubs.begin-page

e008532

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9

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Duke

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School of Medicine

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Basic Science Departments

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Clinical Science Departments

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Institutes and Centers

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Medicine

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Psychiatry & Behavioral Sciences

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Medicine, General Internal Medicine

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Duke Cancer Institute

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Duke Clinical Research Institute

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Institutes and Provost's Academic Units

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Center for the Study of Aging and Human Development

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Initiatives

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Duke Science & Society

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Population Health Sciences

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Duke Innovation & Entrepreneurship

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Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences

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Duke - Margolis Center For Health Policy

pubs.publication-status

Published

pubs.volume

5

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