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

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14 mar 2025

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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_

Study Outcomes and main results Conclusions Limitations
SBP reduction DBP reduction BP normalization rate MA Self-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/A SMD = 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 BP A smartphone intervention leads to a reduction in BP and an increase in MA for people with hypertension Few studies included in this meta–analys¡s, included trials were mainly conducted in North America and East Asia
Li et al. (2020)8 SBP: –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/A 7 articles reported statistically significant improvement in intervention groups Of the 9 articles that focused on the behavioral change of self–management, all reported positive effects either through physical activities or through a healthier diet mHealth self–management interventions were effective in BP control. The outcomes of this review showed improvements in selfmanagement behavior and medication adherence Observed heterogeneities, only recruited RCTs, restricted to English
Choi et al. (2020)20 SBP: –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/A N/A RBPM performed on urban hypertensive patients has limited value and seems not to be superior to ordinary care in avoidance of cardio vascular events No detail analysis of marginalized areas, not generalizing the achievement rates of target, BP strategy is not perfect
Jamshidnezhad et al. (2019)21 N/A N/A 3 of 6 studies confirmed the effect of using mobile applications on lowering BP 1 of 6 studies reported significant effect 1 study showed a significant effect on reducing smoking Mobile apps have positive potential on improving the self–care behavior The 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/A N/A N/A The internet intervention group significantly lowered the BP Included only English studies
Yu et al. (2019)25 14.77 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/A N/A N/A The intervention based on WeChat is more helpful than traditional health intervention for BP control of patients with hypertension Only include Chinese literatures, quality of the included literature is low heterogeneity
Alessa et al. (2018)26 6 of 9 studies demonstrated positive effects showed a significant decrease in SBP from 8.7 mmHg to 34.8 mmHg Significant decreases in DBP were reported in 2/6 studies, ranging from 4.9 mmHg to 12 mm Hg N/A N/A N/A Most of the studies reported that apps might be effective in lowering BP Restricted to English, meta–analysis was not possible, the inclusion of controlled and non–controlled studies might yield inconclusive results
Xiong et al. (2018)27 SBP reduction from 2.06 mmHg to 47.2 mmHg DBP reduction from 1.28 mmHg to 19.91 mmHg 12 of 16 studies reported significantly better BP reduction in the intervention groups All 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 groups N/A mHealth interventions improved MA and BP control Included 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/A RD = 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 lifestyles Observed heterogeneities, the methodology quality of the included studies is low
Chandak and Joshi (2015)29 Two telemonitoring interventions showed significant reductions in mean SBP for the intervention group One telemonitoring study showed significant reduction in mean DBP for the intervention group N/A N/A N/A N/A Included only English studies, strategy is not perfect
Verberk et al. (2011)30 SBP: 5.2 ± 1.5 mmHg; P < 0.001 BP: 2.1 ± 0.8 mmHg; P < 0.01 N/A N/A N/A TC led to a greater decrease in SBP and DBP than UC

Methodological quality of 11 studies based on AMSTAR 2 criteria_

Reference Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16
Xu and Long (2020)22 Y Y NA Y Y N Y Y Y NA Y NA Y Y N Y
Li et al. (2020)6 Y Y N Y Y Y Y Y Y Y Y Y Y Y Y Y
Choi et al. (2020)20 Y Y NA Y Y Y Y Y Y Y Y Y Y Y NA Y
Jamshidnezhad et al. (2019)21 Y NA N Y Y Y Y Y N Y NA NA N N NA Y
Wang et al. (2019)24 Y NA N Y NA NA Y Y Y N Y N N N N NA
Yu et al. (2019)25 Y NA Y Y Y NA Y Y Y Y Y Y Y Y Y Y
Alessa et al. (2018)26 Y NA NA Y Y Y Y N Y Y NA NA Y Y NA Y
Xiong et al. (2018)27 Y NA NA Y Y Y Y Y NA NA NA NA Y Y NA Y
Fei et al. (2018)28 Y NA Y Y NA NA N Y Y N Y Y N Y N NA
Chandak and Joshi (2015)29 Y NA NA Y NA NA NA NA NA NA NA NA NA NA NA NA
Verberk et al. (2011)30 Y NA NA Y NA NA Y Y Y NA Y Y N N Y Y

Characteristics of included studies_

First author (year) Journal Country Databases Type of study included No. of included studies Range of year of publication No. of patients Intervention (target function) Duration (months) Outcomes measures Meta-analysis Quality assessment
Xu and Long (2020)22 JMIR ml·lealth U health N/A MEDLINE, Embase, PubMed, Cochrane Library databases RCT 8 2012-2020 1657 Mobile phone apps (selfmanagement) 1.5–18 SBR DBR MA, physical activity Y (mHlealth favors) RoB
Li et al. (2020)8 JMIR mHlealth U health USA (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 Scholar RCT 24 2010–2019 8933 App-based tools that are accessible via mobile phone or tablet (selfmanagement) 1.5–18 SBR DBR MA, selfmanagement behavior, cost Y (mHlealth favors) RoB
Choi et al. (2020)20 Telemed J E Health USA (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, Medline RCT 27 1996–2017 9435 Telephone, internet, mobile phones, and letters (remote monitoring of BP) 3–13 SBR DBR the target BP achievement rate Y (mHlealth favors) RoB
Jamsh¡dnezhad et al. (2019)21 Acta Inform Med USA (3), Sweden (1), Vietnam (1), Spain (1) The Scopus, PubMed RCT, Before and after clinical trial 6 2015–2019 N/A Mobile phone apps (self-care) 2–9 BR MA, high-risk behaviors N N/A
Wang et al. (2019)24 Journal of Cardiovascular and Pulmonary Diseases USA (7), UK (2), Argentina (1), Canada (1), Spain (1) PubMed, Cochrane library, CNKI, Wanfang database RCT 12 2008–2017 4015 Internet (selfmanagement) 1.5–12 SBR DBP Y (mHlealth favors) RoB
Yu et al. (2019)25 Journal of Preventive Medicine China (11) PubMed, Cochrane Library, CNKI, Wanfang database, VIP RCT 11 2015–2018 1174 Smartphone app (selfmanagement) 3–12 SBR DBP Y (mHlealth favors) RoB
Alessa et al. (2018)26 JMIR mHlealth U health Spain (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, Mandumah All quantitative, qualitative, and mixed-method studies 21 2012–2017 3112 Mobile phone or a tablet app (monitor, feedback, counseling, selfmanagement) 3–13 SBR DBP N RoB
Xiong et al. (2018)27 CurrHypertens Rep UAE (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 Science RCT COT, Before and after study 21 2012–2017 N/A Smart phone, text message, application (MA) 1–12 SBR DBR MA N N/A
Fei et al. (2018)28 Chinese Journal of Cardiovascular Medicine China (33) CNKI, Wanfang database, VIP RCT 33 2008–2017 8959 Internet (selfmanagement) N/A SBR DBR MA, lifestyle changes Y (mHlealth favors) Jadad
Chandak and Joshi (2015)29 Technol Health Care N/A PubMed RCT 12 2009–2013 N/A Internet, computer and cell phone (selfmanagement) 6–24 SBR DBR MA N N/A
Verberk et al. (2011)30 Blood Press Monit N/A PubMed, Medline, Embase, the Cochrane databases RCT 9 1996–2010 N/A Telephone, internet, or mail (selfmanagement) 2–12 SBR DBP Y (mHlealth favors) N/A
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Medycyna, Zawody pomocnicze, pielęgniarstwo