Evidence map›Paper›PMID 39437388›Full record

SynthesisJournal of medical Internet research2024

Behavior Change Techniques Used in Self-Management Interventions Based on mHealth Apps for Adults With Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

You Zhou, Si-Jia Li, Ren-Qian Huang, Hao-Ming Ma, Ao-Qi Wang, Xing-Yi Tang, Run-Yuan Pei, Mei-Hua Piao

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  18. Unlocking the Potential of mHealth: Integrating Behaviour Change Techniques in Hypertension App Design.International journal of environmental research and public health · 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

8 authors.

You Zhou *School of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.ORCID 0000-0002-1352-0211
Si-Jia Li *School of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.ORCID 0009-0001-0740-5858
Ren-Qian Huang *Changhai Clinical Research Unit, Changhai Hospital, Naval Medical University, Shanghai, China.ORCID 0009-0003-0334-2380
Hao-Ming MaSchool of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.ORCID 0000-0002-0271-8409
Ao-Qi WangSchool of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.ORCID 0009-0000-8859-2423
Xing-Yi TangSchool of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.ORCID 0009-0007-6992-4710
Run-Yuan PeiSchool of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.ORCID 0009-0007-8190-2477
Mei-Hua PiaoSchool of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.ORCID 0000-0002-2436-6870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension has become an important global public health challenge. Mobile health (mHealth) intervention is a viable strategy to improve outcomes for patients with hypertension. However, evidence on the effect of mHealth app interventions on self-management in patients with hypertension is yet to be updated, and the active ingredients promoting behavior change in interventions remain unclear.

objectiveWe aimed to evaluate the effect of mHealth app self-management interventions on blood pressure (BP) management and investigate the use of behavior change techniques (BCTs) in mHealth app interventions.

methodsWe conducted a literature search in 6 electronic databases from January 2009 to October 2023 for studies reporting the application of mHealth apps in self-management interventions. The Cochrane Risk of Bias (version 2) tool for randomized controlled trials was used to assess the quality of the studies. BCTs were coded according to the Taxonomy of BCTs (version 1). The extracted data were analyzed using RevMan5.4 software (Cochrane Collaboration).

resultsWe reviewed 20 studies, of which 16 were included in the meta-analysis. In total, 21 different BCTs (mean 8.7, SD 3.8 BCTs) from 12 BCT categories were reported in mHealth app interventions. The most common BCTs were self-monitoring of outcomes of behavior, feedback on outcomes of behavior, instruction on how to perform the behavior, and pharmacological support. The mHealth app interventions resulted in a -5.78 mm Hg (95% CI -7.97 mm Hg to -3.59 mm Hg; P<.001) reduction in systolic BP and a -3.28 mm Hg (95% CI -4.39 mm Hg to -2.17 mm Hg; P<.001) reduction in diastolic BP. The effect of interventions on BP reduction was associated with risk factors, such as hypertension, that were addressed by the mHealth app intervention (multiple risk factors vs a single risk factor: -6.50 mm Hg, 95% CI -9.00 mm Hg to -3.99 mm Hg vs -1.54 mm Hg, 95% CI -4.15 mm Hg to 1.06 mm Hg; P=.007); the presence of a theoretical foundation (with vs without behavior change theory: -10.06 mm Hg, 95% CI -16.42 mm Hg to -3.70 mm Hg vs -4.13 mm Hg, 95% CI -5.50 to -2.75 mm Hg; P=.07); intervention duration (3 vs ≥6 months: -8.87 mm Hg, 95% CI -10.90 mm Hg to -6.83 mm Hg vs -5.76 mm Hg, 95% CI -8.74 mm Hg to -2.77 mm Hg; P=.09); and the number of BCTs (≥11 vs <11 BCTs: -9.68 mm Hg, 95% CI -13.49 mm Hg to -5.87 mm Hg vs -2.88 mm Hg, 95% CI -3.90 mm Hg to -1.86 mm Hg; P<.001).

conclusionsThe self-management interventions based on mHealth apps were effective strategies for lowering BP in patients with hypertension. The effect of interventions was influenced by factors related to the study's intervention design and BCT.

Indexed as

Behavior TherapyHypertensionMobile ApplicationsSelf-ManagementTelemedicineAdultHumansRandomized Controlled Trials as Topicappbehavior change techniquehypertensionmeta-analysismHealthmobile phonesystematic review

Identifiers

PMID39437388
PMCPMC11538878

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.