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Abstract
Mobile health (mHealth) technologies improve hypertension outcomes, but it is unknown if this benefit applies to all populations. This review aimed to describe the impact of mHealth interventions on blood pressure outcomes in populations with disparities in digital health use. We conducted a systematic search to identify studies with systolic blood pressure (SBP) outcomes located in urban settings in high-income countries that included a digital health disparity population, defined as mean age ≥65 years; lower educational attainment (≥60% ≤high school education); and/or racial/ethnic minority (<50% non-Hispanic White for US studies). Interventions were categorized using an established self-management taxonomy. We conducted a narrative synthesis; among randomized clinical trials (RCTs) with a six-month SBP outcome, we conducted random-effects meta-analyses. Twenty-nine articles (representing 25 studies) were included, of which 15 were RCTs. Fifteen studies used text messaging; twelve used mobile applications. Studies were included based on race/ethnicity (14), education (10), and/or age (6). Common intervention components were: lifestyle advice (20); provision of self-monitoring equipment (17); and training on digital device use (15). In the meta-analyses of seven RCTs, SBP reduction at 6-months in the intervention group (mean SBP difference = −4.10, 95% CI: [−6.38, −1.83]) was significant, but there was no significant difference in SBP change between the intervention and control groups (p = 0.48). The use of mHealth tools has shown promise for chronic disease management but few studies have included older, limited educational attainment, or minority populations. Additional robust studies with these populations are needed to determine what interventions work best for diverse hypertensive patients.
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1 University of California San Francisco, Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811); UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, USA (GRID:grid.416732.5) (ISNI:0000 0001 2348 2960)
2 Northwestern University, Department of Medicine, Evanston, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507)
3 University of California San Francisco, Zuckerberg San Francisco General Hospital Library, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811)