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

Authors :
Tucker, K
Sheppard, J
Stevens, R
Bosworth, H
Bove, A
Bray, E
Godwin, M
Green, B
Hebert, P
Hobbs, F
Kantola, I
Kerry, S
Magid, D
Mant, J
Margolis, K
McKinstry, B
Omboni, S
Ogedegbe, O
Parati, G
Qamar, N
Varis, J
Verberk, W
Wakefield, B
McManus, R
Tucker, K
Sheppard, J
Stevens, R
Bosworth, H
Bove, A
Bray, E
Godwin, M
Green, B
Hebert, P
Hobbs, F
Kantola, I
Kerry, S
Magid, D
Mant, J
Margolis, K
Mckinstry, B
Omboni, S
Ogedegbe, O
Parati, G
Qamar, N
Varis, J
Verberk, W
Wakefield, B
Mcmanus, R
Mant, Jonathan [0000-0002-9531-0268]
Apollo - University of Cambridge Repository
Source :
BMJ Open, Tucker, K L, Sheppard, J P, Stevens, R, Bosworth, H B, Bove, A, Bray, E P, Godwin, M, Green, B, Hebert, P, Hobbs, F D R, Kantola, I, Kerry, S, Magid, D J, Mant, J, Margolis, K L, McKinstry, B, Omboni, S, Ogedegbe, O, Parati, G, Qamar, N, Varis, J, Verberk, W, Wakefield, B J & McManus, R J 2015, ' Individual patient data meta-analysis of self-monitoring of blood pressure (BP-SMART) : a protocol ', BMJ Open, vol. 5, no. 9, pp. e008532 . https://doi.org/10.1136/bmjopen-2015-008532
Publication Year :
2015

Abstract

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.

Details

ISSN :
20446055
Volume :
5
Issue :
9
Database :
OpenAIRE
Journal :
BMJ open
Accession number :
edsair.doi.dedup.....2c0c212cbbd8d5bd51455825125cc1f9
Full Text :
https://doi.org/10.1136/bmjopen-2015-008532