New York Medical College School of Medicine, Valhalla.
Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut.
JAMA Netw Open. 2024 Feb 5;7(2):e2356070. doi: 10.1001/jamanetworkopen.2023.56070.
Hypertension remains a leading factor associated with cardiovascular disease, and demographic and socioeconomic disparities in blood pressure (BP) control persist. While advances in digital health technologies have increased individuals' access to care for hypertension, few studies have analyzed the use of digital health interventions in vulnerable populations.
To assess the association between digital health interventions and changes in BP and to characterize tailored strategies for populations experiencing health disparities.
In this systematic review and meta-analysis, a systematic search identified studies evaluating digital health interventions for BP management in the Cochrane Library, Ovid Embase, Google Scholar, Ovid MEDLINE, PubMed, Scopus, and Web of Science databases from inception until October 30, 2023.
Included studies were randomized clinical trials or cohort studies that investigated digital health interventions for managing hypertension in adults; presented change in systolic BP (SBP) or baseline and follow-up SBP levels; and emphasized social determinants of health and/or health disparities, including a focus on marginalized populations that have historically been underserved or digital health interventions that were culturally or linguistically tailored to a population with health disparities. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline.
Two reviewers extracted and verified data. Mean differences in BP between treatment and control groups were analyzed using a random-effects model.
Primary outcomes included mean differences (95% CIs) in SBP and diastolic BP (DBP) from baseline to 6 and 12 months of follow-up between digital health intervention and control groups. Shorter- and longer-term follow-up durations were also assessed, and sensitivity analyses accounted for baseline BP levels.
A total of 28 studies (representing 8257 participants) were included (overall mean participant age, 57.4 years [range, 46-71 years]; 4962 [60.1%], female). Most studies examined multicomponent digital health interventions incorporating remote BP monitoring (18 [64.3%]), community health workers or skilled nurses (13 [46.4%]), and/or cultural tailoring (21 [75.0%]). Sociodemographic characteristics were similar between intervention and control groups. Between the intervention and control groups, there were statistically significant mean differences in SBP at 6 months (-4.24 mm Hg; 95% CI, -7.33 to -1.14 mm Hg; P = .01) and SBP changes at 12 months (-4.30 mm Hg; 95% CI, -8.38 to -0.23 mm Hg; P = .04). Few studies (4 [14.3%]) reported BP changes and hypertension control beyond 1 year.
In this systematic review and meta-analysis of digital health interventions for hypertension management in populations experiencing health disparities, BP reductions were greater in the intervention groups compared with the standard care groups. The findings suggest that tailored initiatives that leverage digital health may have the potential to advance equity in hypertension outcomes.
高血压仍然是与心血管疾病相关的主要因素,血压(BP)控制方面的人口统计学和社会经济差异仍然存在。虽然数字健康技术的进步增加了人们获得高血压治疗的机会,但很少有研究分析数字健康干预措施在弱势群体中的使用情况。
评估数字健康干预措施与 BP 变化之间的关联,并描述针对存在健康差异的人群的定制策略。
在这项系统评价和荟萃分析中,系统搜索了从成立到 2023 年 10 月 30 日在 Cochrane 图书馆、Ovid Embase、Google Scholar、Ovid MEDLINE、PubMed、Scopus 和 Web of Science 数据库中评估数字健康干预措施用于管理高血压的研究。
纳入的研究是随机临床试验或队列研究,调查了用于治疗成年人高血压的数字健康干预措施;报告了收缩压(SBP)或基线和随访 SBP 水平的变化;并强调了健康决定因素和/或健康差异,包括关注历史上服务不足的边缘化人群或针对存在健康差异的人群进行文化或语言调整的数字健康干预措施。研究遵循了系统评价和荟萃分析的首选报告项目指南。
两名审查员提取和验证了数据。使用随机效应模型分析治疗组和对照组之间 SBP 和舒张压(DBP)从基线到 6 个月和 12 个月随访的平均差异。还评估了较短和较长的随访时间,并根据基线 BP 水平进行了敏感性分析。
共纳入 28 项研究(代表 8257 名参与者)(参与者的总体平均年龄为 57.4 岁[范围,46-71 岁];4962 名[60.1%],女性)。大多数研究都检查了多成分数字健康干预措施,包括远程血压监测(18 项[64.3%])、社区卫生工作者或熟练护士(13 项[46.4%])和/或文化调整(21 项[75.0%])。干预组和对照组的社会人口统计学特征相似。在干预组和对照组之间,6 个月时 SBP 存在统计学显著的平均差异(-4.24 mmHg;95% CI,-7.33 至-1.14 mmHg;P=0.01),12 个月时 SBP 变化存在统计学显著差异(-4.30 mmHg;95% CI,-8.38 至-0.23 mmHg;P=0.04)。很少有研究(4 项[14.3%])报告了 1 年以上的 BP 变化和高血压控制情况。
在这项针对存在健康差异的人群的高血压管理数字健康干预措施的系统评价和荟萃分析中,干预组的 BP 降低幅度大于对照组。这些发现表明,利用数字健康的定制举措有可能推进高血压结果的公平性。