Khoong Elaine C, Olazo Kristan, Rivadeneira Natalie A, Thatipelli Sneha, Barr-Walker Jill, Fontil Valy, Lyles Courtney R, Sarkar Urmimala
Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
NPJ Digit Med. 2021 Jul 22;4(1):114. doi: 10.1038/s41746-021-00486-5.
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.
移动健康(mHealth)技术可改善高血压治疗效果,但这种益处是否适用于所有人群尚不清楚。本综述旨在描述mHealth干预措施对数字健康使用存在差异的人群血压结果的影响。我们进行了系统检索,以确定高收入国家城市地区有收缩压(SBP)结果的研究,这些研究纳入了数字健康差异人群,定义为平均年龄≥65岁;教育程度较低(≥60%≤高中教育);和/或种族/族裔少数群体(美国研究中<50%为非西班牙裔白人)。干预措施使用既定的自我管理分类法进行分类。我们进行了叙述性综合分析;在有六个月SBP结果的随机临床试验(RCT)中,我们进行了随机效应荟萃分析。纳入了29篇文章(代表25项研究),其中15项为RCT。15项研究使用了短信;12项使用了移动应用程序。研究根据种族/族裔(14项)、教育程度(10项)和/或年龄(6项)纳入。常见的干预组成部分包括:生活方式建议(20项);提供自我监测设备(17项);以及数字设备使用培训(15项)。在七项RCT的荟萃分析中,干预组在6个月时SBP降低(平均SBP差异=-4.10,95%CI:[-6.38,-1.83])具有显著性,但干预组和对照组之间SBP变化无显著差异(p=0.48)。mHealth工具的使用已显示出在慢性病管理方面的前景,但很少有研究纳入老年人、教育程度有限或少数群体。需要对这些人群进行更多有力的研究,以确定哪些干预措施对不同的高血压患者效果最佳。