Evidence map›Paper›PMID 32311957›Full record

Trial reportMedicine2020

Mobile health applications for the management of primary hypertension: A multicenter, randomized, controlled trial.

Ke Gong, Yu-Ling Yan, Yu Li, Jun Du, Jing Wang, Yue Han, Ya Zou, Xin-Yu Zou, Hong Huang, Qiang She and 1 more

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Medicine, 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 42 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 10 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.

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

42 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. 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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  3. 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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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.

Ke GongDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yu-Ling Yan
Yu Li
Jun Du
Jing Wang
Yue Han
Ya Zou
Xin-Yu Zou
Hong Huang
Qiang She
APP Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension is 1 of the major global public health challenges, which means that patients with hypertension need more measures to control their blood pressure. Currently, smart phones and applications are developing rapidly, and mobile health applications are used to manage hypertension, but evidences related to effectiveness are limited.

objectiveThe purpose was to assess the impact of m-Health apps on blood pressure control, medication adherence.

methods480 participants were randomly assigned to the intervention and control groups. The intervention group used the "Yan Fu" app to manage their blood pressure, and the control group did not use any m-Health apps. The outcomes were changes in blood pressure, the percentage of participants with their blood pressure under control and medication adherence.

resultsAt the end of the study, the baseline characteristics between the 2 groups had no statistically differences (P > .05). Participants in the 2 groups all had lower systolic blood pressure and diastolic blood pressure than they did at baseline, and the intervention group demonstrated a significantly greater systolic blood pressure and diastolic blood pressure reduction than the control group (P < .05). Additionally, the percentage of participants with controlled blood pressure was higher in the intervention group (P < .05). The medication adherence of the intervention group was much higher than that of the control group (P < .05).

conclusionM-Health apps are effective for hypertension management, it can favor the medication adherence and blood pressure control. Perhaps m-Health apps can be promoted in the blood pressure control.

trial registrationThis study was registered in the Chinese Clinical Trial Registry under the number ChiCTR-IOR-17012069.

Indexed as

Disease ManagementMobile ApplicationsAgedFemaleHumansHypertensionMaleMedication AdherenceMiddle AgedTreatment Outcome

Identifiers

PMID32311957
PMCPMC7440290

What OpenQuestion holds

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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.