Evidence map›Paper›PMID 32119093›Full record

Trial reportJAMA network open2020

Effect of Home Blood Pressure Monitoring via a Smartphone Hypertension Coaching Application or Tracking Application on Adults With Uncontrolled Hypertension: A Randomized Clinical Trial.

Stephen D Persell, Yaw A Peprah, Dawid Lipiszko, Ji Young Lee, Jim J Li, Jody D Ciolino, Kunal N Karmali, Hironori Sato

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 106 papers, 21 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 21 pooled it
–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.

NCT03288142 nacompletednot on this map

Improving Hypertension Using a Smartphone-Enabled Personal Control Program: The Smart Hypertension Control Study

TypeinterventionalSponsorNorthwestern UniversityRan2017 to 2019Enrolled333ConditionsHypertensionArmsHypertension Coaching Application and Home Monitor, Control: Tracking Application and Home Monitor
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

106 citing papers in PubMed, 21 syntheses or guidelines pooled it.

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  7. Does clinical practice supported by artificial intelligence improve hypertension care management? A pilot systematic review.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
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46 more citing papers are in PubMed but not listed here.

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

8 authors.

Stephen D PersellDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Yaw A PeprahDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Dawid LipiszkoDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Ji Young LeeDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Jim J LiOmron Healthcare Co Ltd, Kyoto, Japan.
Jody D CiolinoDivision of Biostatistics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Kunal N KarmaliDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Hironori SatoOmron Healthcare Co Ltd, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Mobile applications (apps) may help improve hypertension self-management. Objective: To investigate the effect of an artificial intelligence smartphone coaching app to promote home monitoring and hypertension-related behaviors on systolic blood pressure level compared with a blood pressure tracking app. Design, Setting, and Participants: This was a 2-group, open, randomized clinical trial. Participants with uncontrolled hypertension were recruited in 2016 and 2017 and were followed up for 6 months. Data analysis was performed from April 2019 to December 2019. Interventions: Intervention group participants received a smartphone coaching app to promote home monitoring and behavioral changes associated with hypertension self-management plus a home blood pressure monitor. Control participants received a blood pressure tracking app plus a home blood pressure monitor. Main Outcomes and Measures: The primary study outcome was systolic blood pressure at 6 months. Secondary outcomes included self-reported antihypertensive medication adherence, home monitoring and self-management practices, measures of self-efficacy associated with blood pressure, weight, and self-reported health behaviors. Results: There were 333 participants randomized, and 297 completed the follow-up assessment. Among the participants who completed the study, the mean (SD) age was 58.9 (12.8) years, 182 (61.3%) were women, and 103 (34.7%) were black. Baseline mean (SD) systolic blood pressure was 140.6 (12.2) mm Hg among intervention participants and 141.8 (13.4) mm Hg among control participants. After 6 months, the corresponding mean (SD) systolic blood pressures were 132.3 (15.0) mm Hg and 135.0 (13.9) mm Hg, with a between-group adjusted difference of -2.0 mm Hg (95% CI, -4.9 mm Hg to 0.8 mm Hg; P = .16). At 6 months, self-confidence in controlling blood pressure was greater in the intervention group (0.36 point on a 5-point scale; 95% CI, 0.18 point to 0.54 point; P < .001). There were no significant differences between the 2 groups in other secondary outcomes. The adjusted difference in self-reported physical activity was 26.7 minutes per week (95% CI, -5.4 minutes per week to 58.8 minutes per week; P = .10). Subgroup analysis raised the possibility that intervention effects differed by age. Conclusions and Relevance: Among individuals with uncontrolled hypertension, those randomized to a smartphone coaching app plus home monitor had similar systolic blood pressure compared with those who received a blood pressure tracking app plus home monitor. Given the direction of the difference in systolic blood pressure between groups and the possibility for differences in treatment effects across subgroups, future studies are warranted. Trial Registration: ClinicalTrials.gov Identifier: NCT03288142.

Indexed as

Blood Pressure Monitoring, AmbulatoryMentoringMobile ApplicationsSmartphoneAgedArtificial IntelligenceFemaleHumansHypertensionMaleMiddle AgedSelf-Management

Identifiers

PMID32119093
PMCPMC7052730

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.