Evidence map›Paper›PMID 32696695›Full record

ArticleJournal of the American Heart Association2020

Impact of Self-Monitoring of Blood Pressure on Processes of Hypertension Care and Long-Term Blood Pressure Control.

Kelsey B Bryant, James P Sheppard, Natalia Ruiz-Negrón, Ian M Kronish, Valy Fontil, Jordan B King, Mark J Pletcher, Kirsten Bibbins-Domingo, Andrew E Moran, Richard J McManus and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07397260 (Effects of Manually Recorded or Automatically Transmitted Home Blood Pressures With or Without Automated Patient Feedback on Hypertension Care), which is not on this map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
6.3field-weighted citation impact, top 2% of its field
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.

NCT07397260 naenrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Effects of Manually Recorded or Automatically Transmitted Home Blood Pressures With or Without Automated Patient Feedback on Hypertension Care

TypeinterventionalSponsorNorthwestern UniversityRan2026 to 2028Enrolled1,304ConditionsHypertension (HTN)ArmsSelf report of home measured blood pressure via patient EHR portal, Automated feedback about home blood pressure results, Automated Transmission of Remotely Measured Blood Pressure
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

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  5. Investigating feature-engineered predictors for systolic blood pressure changes in an mHealth-based disease management program.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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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

11 authors at 4 institutions in 2 countries.

Kelsey B BryantColumbia University New York NY.
James P SheppardNuffield Department of Primary Care Health Sciences University of Oxford United Kingdom.
Natalia Ruiz-NegrónUniversity of Utah Salt Lake City UT.
Ian M KronishColumbia University New York NY.
Valy FontilUniversity of California at San Francisco CA.
Jordan B KingUniversity of Utah Salt Lake City UT.
Mark J PletcherUniversity of California at San Francisco CA.
Kirsten Bibbins-DomingoUniversity of California at San Francisco CA.
Andrew E MoranColumbia University New York NY.
Richard J McManusNuffield Department of Primary Care Health Sciences University of Oxford United Kingdom.
Brandon K BellowsColumbia University New York NY.
Columbia University · USUniversity of California, San Francisco · USUniversity of Oxford · GBUniversity of Utah · US

Funding

Patient Level Prediction of Clinical Outcomes and Cost-Effectiveness in SPRINT (Optimize-SPRINT)R01HL139837 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRESS, ADAM P, MORAN, ANDREW EDWARD · 2018 to 2021
$3.2M
Model Based Approach to Improving Hypertension Control in PopulationsR01HL130500 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MORAN, ANDREW EDWARD · 2016 to 2019
$2.4M
Bring it Down San Francisco: Harnessing cloud-based technology to improve hypertension management in a low-income underserved populationK23HL136899 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FONTIL, VALY · 2018 to 2022
$887k
Comparing the value of intensive systolic blood pressure treatment implementation strategiesK01HL140170 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BELLOWS, BRANDON K · 2018 to 2022
$709k
Department of Health NIHR-RP-02-12-015NHLBI NIH HHS K01 HL140170NHLBI NIH HHS K23 HL136899NHLBI NIH HHS R01 HL130500NHLBI NIH HHS R01 HL139837NIMHD NIH HHS L60 MD011971Wellcome Trust 211182/Z/18/Z
6 · The paper itself

Abstract

Background Self-monitoring of blood pressure (SMBP) improves blood pressure (BP) outcomes at 12-months, but information is lacking on how SMBP affects hypertension care processes and longer-term BP outcomes. Methods and Results We pooled individual participant data from 4 randomized clinical trials of SMBP in the United Kingdom (combined n=2590) with varying intensities of support. Multivariable random effects regression was used to estimate the probability of antihypertensive intensification at 12 months for usual care versus SMBP. Using these data, we simulated 5-year BP control rates using a validated mathematical model. Trial participants were mostly older adults (mean age 66.6 years, SD 9.5), male (53.9%), and predominantly white (95.6%); mean baseline BP was 151.8/85.0 mm Hg. Compared with usual care, the likelihood of antihypertensive intensification increased with both SMBP with feedback to patient or provider alone (odds ratio 1.8, 95% CI 1.2-2.6) and with telemonitoring or self-management (3.3, 2.5-4.2). Over 5 years, we estimated 33.4% BP control (<140/90 mm Hg) with usual care (95% uncertainty interval 27.7%-39.4%). One year of SMBP with feedback to patient or provider alone achieved 33.9% (28.3%-40.3%) BP control and SMBP with telemonitoring or self-management 39.0% (33.1%-45.2%) over 5 years. If SMBP interventions and associated BP control processes were extended to 5 years, BP control increased to 52.4% (45.4%-59.8 %) and 72.1% (66.5%-77.6%), respectively. Conclusions One year of SMBP plus telemonitoring or self-management increases the likelihood of antihypertensive intensification and could improve BP control rates at 5 years; continuing SMBP for 5 years could further improve BP control.

Indexed as

Blood PressureBlood Pressure DeterminationSelf-TestingAgedAntihypertensive AgentsFemaleHumansHypertensionMaleMiddle AgedModels, StatisticalRandomized Controlled Trials as TopicTreatment OutcomeAntihypertensive Agentsblood pressurehypertensionself‐monitoring of blood pressuresimulation modeling

Identifiers

PMID32696695
PMCPMC7792261
OpenAlexW3045146243

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.