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Effectiveness of mobile health interventions on management of patients with hypertension: a systematic review of systematic reviews† Cover

Effectiveness of mobile health interventions on management of patients with hypertension: a systematic review of systematic reviews†

Open Access
|Mar 2025

Figures & Tables

Figure 1.

Flowchart of searching and selection process.
Flowchart of searching and selection process.

Summary of results of the 11 reviews on the effectiveness of mHealth for hypertension management_

StudyOutcomes and main resultsConclusionsLimitations
SBP reductionDBP reductionBP normalization rateMASelf-management behaviors
Xu and Long (2020)22–2.28 mmHg (95%¤CI: –3.90 to –0.66; I2 40%)–1.84 mmHg (95%CI: –3.49 to –0.19; I2 = 54%)N/ASMD = 0.38 (95%CI: 0.26– 0.50; I2 = 0%)No difference between groups was demonstrated with respect to physical activity. One study showed a significant effect of reducing smoking and one study showed a significant effect of confidence in controlling BPA smartphone intervention leads to a reduction in BP and an increase in MA for people with hypertensionFew studies included in this meta–analys¡s, included trials were mainly conducted in North America and East Asia
Li et al. (2020)8SBP: –3.78 mmHg (P < 0.001; 95%CI –4.67 to –2.89)DBP: –1.57 mmHg (P < 0.001; 95%CI –2.28 to –0.86)N/A7 articles reported statistically significant improvement in intervention groupsOf the 9 articles that focused on the behavioral change of self–management, all reported positive effects either through physical activities or through a healthier dietmHealth self–management interventions were effective in BP control. The outcomes of this review showed improvements in selfmanagement behavior and medication adherenceObserved heterogeneities, only recruited RCTs, restricted to English
Choi et al. (2020)20SBP: –3.482 mmHg (P < 0.001; 95%CI 2.459–1.505)DBP: –1.638 mmHg (P < 0.001; 95%CI 1.084– 2.192)The RBPM group showed a significantly larger improvement (45.05% vs. 38.42%)N/AN/ARBPM performed on urban hypertensive patients has limited value and seems not to be superior to ordinary care in avoidance of cardio vascular eventsNo detail analysis of marginalized areas, not generalizing the achievement rates of target, BP strategy is not perfect
Jamshidnezhad et al. (2019)21N/AN/A3 of 6 studies confirmed the effect of using mobile applications on lowering BP1 of 6 studies reported significant effect1 study showed a significant effect on reducing smokingMobile apps have positive potential on improving the self–care behaviorThe low number of studies, meta–analysis was not possible, non–English studies were not included
Wang et al. (2019)24–3.41 mmHg (95%CI: –3.49 mmHg to –3.32 mmHg; I2 = 100%, P < 0. 001)–1.5 mmHg (95%CI: –2.2 mmHg to –0.8 mmHg; I2 = 62%, P < 0. 001)N/AN/AN/AThe internet intervention group significantly lowered the BPIncluded only English studies
Yu et al. (2019)2514.77 mmHg (95%CI: 11.76– 17.77 mmHg; I2 = 89.7%, P < 0. 001)8.17 mmHg (95%CI: 5.67– 10.67 mmHg; I2 = 85.6%, P < 0. 001)N/AN/AN/AThe intervention based on WeChat is more helpful than traditional health intervention for BP control of patients with hypertensionOnly include Chinese literatures, quality of the included literature is low heterogeneity
Alessa et al. (2018)266 of 9 studies demonstrated positive effects showed a significant decrease in SBP from 8.7 mmHg to 34.8 mmHgSignificant decreases in DBP were reported in 2/6 studies, ranging from 4.9 mmHg to 12 mm HgN/AN/AN/AMost of the studies reported that apps might be effective in lowering BPRestricted to English, meta–analysis was not possible, the inclusion of controlled and non–controlled studies might yield inconclusive results
Xiong et al. (2018)27SBP reduction from 2.06 mmHg to 47.2 mmHgDBP reduction from 1.28 mmHg to 19.91 mmHg12 of 16 studies reported significantly better BP reduction in the intervention groupsAll 21 studies included in the review indicated a higher level of MA after the intervention, and 12 studies were able to report significantly better MA outcomes for their mHlealth intervention groupsN/AmHealth interventions improved MA and BP controlIncluded only published trials, included only English studies, meta-analysis was not possible
Fei et al. (2018)28–12.73 mmHg (95%CI: –15.80 mmHg to –9.66 mmHg; P < 0.01)–8.05 mmHg (95%CI: –10.51 mmHg to –5.59 mmHg; P < 0.01)N/ARD = 0.29 (95%CI: 0.24– 0.34, P < 0.01)Regular exercise (RD = 0.29, 95%CI: 0.22–0.36, P < 0.01), Regular monitoring (RD = 0.30, 95%CI: 0.21–0.39, P < 0.01), Better diet (RD = 0.32, 95%CI: 0.26–0.38, P < 0.01)Mobile network–based health education can effectively improve BP levels and lifestylesObserved heterogeneities, the methodology quality of the included studies is low
Chandak and Joshi (2015)29Two telemonitoring interventions showed significant reductions in mean SBP for the intervention groupOne telemonitoring study showed significant reduction in mean DBP for the intervention groupN/AN/AN/AN/AIncluded only English studies, strategy is not perfect
Verberk et al. (2011)30SBP: 5.2 ± 1.5 mmHg; P < 0.001BP: 2.1 ± 0.8 mmHg; P < 0.01N/AN/AN/ATC led to a greater decrease in SBP and DBP than UC

Methodological quality of 11 studies based on AMSTAR 2 criteria_

ReferenceQ1Q2Q3Q4Q5Q6Q7Q8Q9Q10Q11Q12Q13Q14Q15Q16
Xu and Long (2020)22YYNAYYNYYYNAYNAYYNY
Li et al. (2020)6YYNYYYYYYYYYYYYY
Choi et al. (2020)20YYNAYYYYYYYYYYYNAY
Jamshidnezhad et al. (2019)21YNANYYYYYNYNANANNNAY
Wang et al. (2019)24YNANYNANAYYYNYNNNNNA
Yu et al. (2019)25YNAYYYNAYYYYYYYYYY
Alessa et al. (2018)26YNANAYYYYNYYNANAYYNAY
Xiong et al. (2018)27YNANAYYYYYNANANANAYYNAY
Fei et al. (2018)28YNAYYNANANYYNYYNYNNA
Chandak and Joshi (2015)29YNANAYNANANANANANANANANANANANA
Verberk et al. (2011)30YNANAYNANAYYYNAYYNNYY

Characteristics of included studies_

First author (year)JournalCountryDatabasesType of study includedNo. of included studiesRange of year of publicationNo. of patientsIntervention (target function)Duration (months)Outcomes measuresMeta-analysisQuality assessment
Xu and Long (2020)22JMIR ml·lealth U healthN/AMEDLINE, Embase, PubMed, Cochrane Library databasesRCT82012-20201657Mobile phone apps (selfmanagement)1.5–18SBR DBR MA, physical activityY (mHlealth favors)RoB
Li et al. (2020)8JMIR mHlealth U healthUSA (11), Canada (3), Spain (1), Iran (1), UK (3), Honduras and Mexico (1), Korea (1), China (1), South Africa (1), Chile (1)PubMed, Embase, Web of Science, Cochrane, Google ScholarRCT242010–20198933App-based tools that are accessible via mobile phone or tablet (selfmanagement)1.5–18SBR DBR MA, selfmanagement behavior, costY (mHlealth favors)RoB
Choi et al. (2020)20Telemed J E HealthUSA (14), Italy (2), Spain (1), Denmark (2), UK(1), South Korea (3), Canada (1), Germany (1), Argentina, Guatemala, Peru (1), Finland (1)Embase, EBSCOhost, the Cochrane Library, ProQuest, MedlineRCT271996–20179435Telephone, internet, mobile phones, and letters (remote monitoring of BP)3–13SBR DBR the target BP achievement rateY (mHlealth favors)RoB
Jamsh¡dnezhad et al. (2019)21Acta Inform MedUSA (3), Sweden (1), Vietnam (1), Spain (1)The Scopus, PubMedRCT, Before and after clinical trial62015–2019N/AMobile phone apps (self-care)2–9BR MA, high-risk behaviorsNN/A
Wang et al. (2019)24Journal of Cardiovascular and Pulmonary DiseasesUSA (7), UK (2), Argentina (1), Canada (1), Spain (1)PubMed, Cochrane library, CNKI, Wanfang databaseRCT122008–20174015Internet (selfmanagement)1.5–12SBR DBPY (mHlealth favors)RoB
Yu et al. (2019)25Journal of Preventive MedicineChina (11)PubMed, Cochrane Library, CNKI, Wanfang database, VIPRCT112015–20181174Smartphone app (selfmanagement)3–12SBR DBPY (mHlealth favors)RoB
Alessa et al. (2018)26JMIR mHlealth U healthSpain (2), South Korea (1), USA (9), China (1), South Sweden (2), Sweden (1), Canada (2), France (1), Italy (1)MEDLINE (OVID), Embase (OVID), PsycINFO (OVID), CINAHL, the Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library), IEEE Xplore ASSIAN, Google Scholar and the main Arabic databases Al Manhal, AskZad, MandumahAll quantitative, qualitative, and mixed-method studies212012–20173112Mobile phone or a tablet app (monitor, feedback, counseling, selfmanagement)3–13SBR DBPNRoB
Xiong et al. (2018)27CurrHypertens RepUAE (1), Sweden (1), South Africa (1), Austria (1), USA (9), Iran (2), Pakistan (1), South Korea (1), Malaysia (1), Bolivia (1). Chile (1), England (1)PubMed, Embase, Web of ScienceRCT COT, Before and after study212012–2017N/ASmart phone, text message, application (MA)1–12SBR DBR MANN/A
Fei et al. (2018)28Chinese Journal of Cardiovascular MedicineChina (33)CNKI, Wanfang database, VIPRCT332008–20178959Internet (selfmanagement)N/ASBR DBR MA, lifestyle changesY (mHlealth favors)Jadad
Chandak and Joshi (2015)29Technol Health CareN/APubMedRCT122009–2013N/AInternet, computer and cell phone (selfmanagement)6–24SBR DBR MANN/A
Verberk et al. (2011)30Blood Press MonitN/APubMed, Medline, Embase, the Cochrane databasesRCT91996–2010N/ATelephone, internet, or mail (selfmanagement)2–12SBR DBPY (mHlealth favors)N/A
DOI: https://doi.org/10.2478/fon-2025-0001 | Journal eISSN: 2544-8994 | Journal ISSN: 2097-5368
Language: English
Page range: 1 - 12
Submitted on: Oct 17, 2023
Accepted on: Aug 4, 2024
Published on: Mar 14, 2025
Published by: Shanxi Medical Periodical Press
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Si-Si Wu, Xue-Mei Tu, Gui-Qin Mou, Chun-Hua Long, Sha-Sha Li, published by Shanxi Medical Periodical Press
This work is licensed under the Creative Commons Attribution 4.0 License.