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数字健康干预对低收入和中等收入国家高血压患者血压控制、生活方式行为及药物依从性的有效性:随机对照试验的系统评价和荟萃分析

Effectiveness of digital health interventions on blood pressure control, lifestyle behaviours and adherence to medication in patients with hypertension in low-income and middle-income countries: a systematic review and meta-analysis of randomised controlled trials.

作者信息

Boima Vincent, Doku Alfred, Agyekum Francis, Tuglo Lawrence Sena, Agyemang Charles

机构信息

Department of Medicine and Therapeutics, University of Ghana Medical School, Accra, Ghana.

Department of Public & Occupational Health, University of Amsterdam Medical Centre, University of Amsterdam, Netherlands.

出版信息

EClinicalMedicine. 2024 Feb 1;69:102432. doi: 10.1016/j.eclinm.2024.102432. eCollection 2024 Mar.

Abstract

BACKGROUND

Digital health interventions can be effective for blood pressure (BP) control, but a comparison of the effectiveness and application of these types of interventions has not yet been systematically evaluated in low- and middle-income countries (LMICs). This study aimed to compare the effectiveness of digital health interventions according to the World Health Organisation (WHO) classifications of patients in terms of BP control, lifestyle behaviour changes, and adherence to medication in patients with hypertension in LMICs.

METHODS

In this systematic review and meta-analysis, we searched the PubMed, Scopus, Web of Science, Embase, CINAHL, and Cochrane Library databases for randomised controlled trials (RCTs) published in English, comprised of adults (≥18 years old) with hypertension and the intervention consisted of digital health interventions according to WHO's classifications for patients in LMICs between January 1, 2009, and July 17, 2023. We excluded RCTs that considered patients with hypertension comorbidities such as diabetes and hypertension-mediated target organ damage (HMTOD). The references were downloaded into Mendeley Desktop and imported into the Rayyan web tool for deduplication and screening. The risk of bias was assessed using Cochrane Risk of Bias 2. Data extraction was done according to Cochrane's guidelines. The main outcome measures were mean systolic blood pressure (SBP) and BP control which were assessed using the random-effect DerSimonian-Laird and Mantel-Haenszel models. We presented the BP outcomes, lifestyle behaviour changes and medication adherence in forest plots as well as summarized them in tables. This study is registered with PROSPERO, CRD42023424227.

FINDINGS

We identified 9322 articles, of which 22 RCTs from 12 countries (n = 12,892 respondents) were included in the systematic review. The quality of the 22 studies was graded as high risk (n = 7), had some concerns (n = 3) and low risk of bias (n = 12). A total of 19 RCTs (n = 12,418 respondents) were included in the meta-analysis. Overall, digital health intervention had significant reductions in SBP [mean difference (MD) = -4.43 mmHg (95% CI -6.19 to -2.67), I = 92%] and BP control [odds ratio (OR) = 2.20 (95% CI 1.64-2.94), I = 78%], respectively, compared with usual care. A subgroup analysis revealed that short message service (SMS) interventions had the greatest statistically significant reduction of SBP [MD = -5.75 mm Hg (95% Cl -7.77 to -3.73), I = 86%] compared to mobile phone calls [MD = 3.08 mm Hg (-6.16 to 12.32), I = 87%] or smartphone apps interventions [MD = -4.06 mm Hg (-6.56 to -1.55), I = 79%], but the difference between groups was not statistically significant (p = 0.14). The meta-analysis showed that the interventions had a significant effect in supporting changes in lifestyle behaviours related to a low salt diet [standardised mean difference (SMD) = 1.25; (95% CI 0.64-1.87), I = 89%], physical activity [SMD = 1.30; (95% CI 0.23-2.37), I = 94%] and smoking reduction [risk difference (RR) = 0.03; (95% CI 0.01-0.05), I = 0%] compared to the control group. In addition, improvement in medication adherence was statistically significant and higher in the intervention group than in the control group [SMD = 1.59; (95% CI 0.51-2.67), I = 97%].

INTERPRETATION

Our findings suggest that digital health interventions may be effective for BP control, changes in lifestyle behaviours, and improvements in medication adherence in LMICs. However, we observed high heterogeneity between included studies, and only two studies from Africa were included. The combination of digital health interventions with clinical management is crucial to achieving optimal clinical effectiveness in BP control, changes in lifestyle behaviours and improvements in medication adherence.

FUNDING

None.

摘要

背景

数字健康干预措施对血压控制可能有效,但在低收入和中等收入国家(LMICs),尚未对这类干预措施的有效性和应用进行系统评估。本研究旨在根据世界卫生组织(WHO)对患者的分类,比较数字健康干预措施在LMICs高血压患者的血压控制、生活方式行为改变和药物依从性方面的有效性。

方法

在这项系统评价和荟萃分析中,我们检索了PubMed、Scopus、Web of Science、Embase、CINAHL和Cochrane图书馆数据库,以查找2009年1月1日至2023年7月17日期间以英文发表的随机对照试验(RCT),研究对象为成年(≥18岁)高血压患者,干预措施为根据WHO对LMICs患者的分类进行的数字健康干预。我们排除了纳入患有高血压合并症(如糖尿病和高血压介导的靶器官损害(HMTOD))患者的RCT。参考文献下载到Mendeley Desktop中,并导入Rayyan网络工具进行重复数据删除和筛选。使用Cochrane偏倚风险2评估偏倚风险。根据Cochrane指南进行数据提取。主要结局指标为平均收缩压(SBP)和血压控制,使用随机效应DerSimonian-Laird模型和Mantel-Haenszel模型进行评估。我们在森林图中展示血压结局、生活方式行为改变和药物依从性,并在表格中进行总结。本研究已在PROSPERO注册,注册号为CRD42023424227。

结果

我们识别出9322篇文章,其中来自12个国家的22项RCT(n = 12,892名受访者)被纳入系统评价。22项研究的质量分级为高风险(n = 7)、有一些担忧(n = 3)和低偏倚风险(n = 12)。共有19项RCT(n = 12,418名受访者)被纳入荟萃分析。总体而言,与常规护理相比,数字健康干预使SBP显著降低[平均差值(MD)= -4.43 mmHg(95% CI -6.19至-2.67),I² = 92%],血压控制[比值比(OR)= 2.20(95% CI 1.64 - 2.94),I² = 78%]。亚组分析显示,与手机通话[MD = 3.08 mmHg(-6.16至12.32),I² = 87%]或智能手机应用程序干预[MD = -4.06 mmHg(-6.56至-1.55),I² = 79%]相比,短信(SMS)干预使SBP在统计学上有最大程度的显著降低[MD = -5.75 mmHg(95% CI -7.77至-3.73),I² = 86%],但组间差异无统计学意义(p = 0.14)。荟萃分析表明,与对照组相比,这些干预措施在支持与低盐饮食相关的生活方式行为改变[标准化平均差值(SMD)= 1.25;(95% CI 0.64 - 1.87),I² = 89%]、体育活动[SMD = 1.30;(95% CI 0.23 - 2.37),I² = 94%]和减少吸烟[风险差值(RR)= 0.03;(95% CI 0.01 - 0.05),I² = 0%]方面有显著效果。此外,干预组的药物依从性改善在统计学上有显著意义,且高于对照组[SMD = 1.59;(95% CI 0.51 - 2.67),I² = 97%]。

解读

我们的研究结果表明,数字健康干预措施可能对LMICs的血压控制、生活方式行为改变和药物依从性改善有效。然而,我们观察到纳入研究之间存在高度异质性,且仅纳入了两项来自非洲的研究。将数字健康干预措施与临床管理相结合对于在血压控制、生活方式行为改变和药物依从性改善方面实现最佳临床效果至关重要。

资金来源

无。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8354/10850120/b7a03bd6b655/gr1.jpg

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