Evidence map›Paper›PMID 29710289›Full record

Trial reportJAMA internal medicine2018

Association of a Smartphone Application With Medication Adherence and Blood Pressure Control: The MedISAFE-BP Randomized Clinical Trial.

Kyle Morawski, Roya Ghazinouri, Alexis Krumme, Julie C Lauffenburger, Zhigang Lu, Erin Durfee, Leslie Oley, Jessica Lee, Namita Mohta, Nancy Haff and 2 more

Erratum issued 4 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 4 registered trials, which are not on this map. Cited by 180 papers, 28 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
180citing papers in PubMed, 28 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.

NCT02727543 nacompletednot on this map

Medication Adherence Improvement Support App For Engagement - Blood Pressure

TypeinterventionalSponsorBrigham and Women's HospitalRan2016 to 2017Enrolled413ConditionsHypertensionArmsMedisafe
NCT05575232 nacompletednot on this mapstarted 2022, after this paper: background citation

Effectiveness and Usability of a Mobile Application to Assist in the Pharmacological and Non-pharmacological Treatment of Arterial Hypertension

TypeinterventionalSponsorUniversidade Federal de Santa CatarinaRan2022 to 2024Enrolled52ConditionsHypertensionArmsApplication Group (GA)
NCT05963828 nacompletednot on this mapstarted 2023, after this paper: background citation

COmprehensive Management of High-risk PopuLatIon for Stroke bAsed oN soCial nEtwork: A Multicenter Randomized Clinical Trial

TypeinterventionalSponsorChanghai HospitalRan2023 to 2025Enrolled720ConditionsStroke, Cerebrovascular Disorders, Brain Diseases, Central Nervous System DiseasesArmsconventional care, Social network-based intervention
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

180 citing papers in PubMed, 28 syntheses or guidelines pooled it.

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  2. Smartphone application-based interventions for cardiometabolic risk factor management: A systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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  6. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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120 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Kyle MorawskiCenter for Healthcare Delivery Sciences (C4HDS) and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Roya GhazinouriCenter for Healthcare Delivery Sciences (C4HDS) and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Alexis KrummeCenter for Healthcare Delivery Sciences (C4HDS) and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Julie C LauffenburgerCenter for Healthcare Delivery Sciences (C4HDS) and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Zhigang LuCenter for Healthcare Delivery Sciences (C4HDS) and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Erin DurfeeEvidation Health, San Mateo, California.
Leslie OleyEvidation Health, San Mateo, California.
Jessica LeeCenter for Healthcare Delivery Sciences (C4HDS) and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Namita MohtaCenter for Healthcare Delivery Sciences (C4HDS) and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Nancy HaffCenter for Healthcare Delivery Sciences (C4HDS) and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Jessie L JuusolaEvidation Health, San Mateo, California.
Niteesh K ChoudhryCenter for Healthcare Delivery Sciences (C4HDS) and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Medication nonadherence accounts for up to half of uncontrolled hypertension. Smartphone applications (apps) that aim to improve adherence are widely available but have not been rigorously evaluated. Objective: To determine if the Medisafe smartphone app improves self-reported medication adherence and blood pressure control. Design, Setting, and Participants: This was a 2-arm, randomized clinical trial (Medication Adherence Improvement Support App For Engagement-Blood Pressure [MedISAFE-BP]). Participants were recruited through an online platform and were mailed a home blood pressure cuff to confirm eligibility and to provide follow-up measurements. Of 5577 participants who were screened, 412 completed consent, met inclusion criteria (confirmed uncontrolled hypertension, taking 1 to 3 antihypertensive medications), and were randomized in a ratio of 1:1 to intervention or control. Interventions: Intervention arm participants were instructed to download and use the Medisafe app, which includes reminder alerts, adherence reports, and optional peer support. Main Outcomes and Measures: Co-primary outcomes were change from baseline to 12 weeks in self-reported medication adherence, measured by the Morisky medication adherence scale (MMAS) (range, 0-8, with lower scores indicating lower adherence), and change in systolic blood pressure. Results: Participants (n = 411; 209 in the intervention group and 202 controls) had a mean age of 52.0 years and mean body mass index, calculated as weight in kilograms divided by height in meters squared, of 35.5; 247 (60%) were female, and 103 (25%) were black. After 12 weeks, the mean (SD) score on the MMAS improved by 0.4 (1.5) among intervention participants and remained unchanged among controls (between-group difference: 0.4; 95% CI, 0.1-0.7; P = .01). The mean (SD) systolic blood pressure at baseline was 151.4 (9.0) mm Hg and 151.3 (9.4) mm Hg, among intervention and control participants, respectively. After 12 weeks, the mean (SD) systolic blood pressure decreased by 10.6 (16.0) mm Hg among intervention participants and 10.1 (15.4) mm Hg among controls (between-group difference: -0.5; 95% CI, -3.7 to 2.7; P = .78). Conclusions and Relevance: Among individuals with poorly controlled hypertension, patients randomized to use a smartphone app had a small improvement in self-reported medication adherence but no change in systolic blood pressure compared with controls. Trial Registration: clinicaltrials.gov Identifier: NCT02727543.

Indexed as

Drug MonitoringMobile ApplicationsAdultAntihypertensive AgentsBlood PressureFemaleHumansHypertensionMaleMiddle AgedSmartphoneAntihypertensive Agents

Identifiers

PMID29710289
PMCPMC6145760

What OpenQuestion holds

Textmetadata
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.