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2
Effectiveness of Internet-Based Multicomponent Interventions for Patients and Health Care Professionals to Improve Clinical Outcomes in Type 2 Diabetes Evaluated Through the INDICA Study: Multiarm Cluster Randomized Controlled Trial.基于互联网的多组分干预措施对 2 型糖尿病患者和医疗保健专业人员的临床结局改善效果的评估:INDICA 研究:多臂群组随机对照试验。
JMIR Mhealth Uhealth. 2020 Nov 2;8(11):e18922. doi: 10.2196/18922.
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Internet-based patient- primary care physician-cardiologist integrated management model of hypertension in China: study protocol for a multicentre randomised controlled trial.中国基于互联网的高血压患者-基层医疗医生-心脏病专家综合管理模式:一项多中心随机对照试验的研究方案
BMJ Open. 2020 Oct 16;10(10):e039447. doi: 10.1136/bmjopen-2020-039447.
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A pharmacist intervention for monitoring and treating hypertension using bidirectional texting: PharmText BP.采用双向短信监测和治疗高血压的药师干预:PharmText BP。
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Trials. 2020 Jun 16;21(1):530. doi: 10.1186/s13063-020-04349-4.
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Protocol paper: Stepped wedge cluster randomized trial translating the ABCS into optimizing cardiovascular care for people living with HIV.方案文件:采用逐步楔形集群随机试验将 ABCS 转化为优化艾滋病毒感染者心血管护理。
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Study protocol for the road to hierarchical diabetes management at primary care (ROADMAP) study in China: a cluster randomised controlled trial.中国基层糖尿病分级管理之路(ROADMAP)研究方案:一项群组随机对照试验。
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Strategy of blood pressure intervention in the elderly hypertensive patients (STEP): Rational, design, and baseline characteristics for the main trial.老年高血压患者血压干预策略(STEP):主要试验的合理性、设计和基线特征。
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基于手机的干预措施,用于提高成年人预防心血管疾病初级预防药物的依从性。

Mobile phone-based interventions for improving adherence to medication prescribed for the primary prevention of cardiovascular disease in adults.

机构信息

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Public Health England, London, UK.

出版信息

Cochrane Database Syst Rev. 2021 Mar 26;3(3):CD012675. doi: 10.1002/14651858.CD012675.pub3.

DOI:10.1002/14651858.CD012675.pub3
PMID:33769555
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8094419/
Abstract

BACKGROUND

Cardiovascular disease (CVD) is a major cause of disability and mortality globally. Premature fatal and non-fatal CVD is considered to be largely preventable through the control of risk factors by lifestyle modifications and preventive medication. Lipid-lowering and antihypertensive drug therapies for primary prevention are cost-effective in reducing CVD morbidity and mortality among high-risk people and are recommended by international guidelines. However, adherence to medication prescribed for the prevention of CVD can be poor. Approximately 9% of CVD cases in the EU are attributed to poor adherence to vascular medications. Low-cost, scalable interventions to improve adherence to medications for the primary prevention of CVD have potential to reduce morbidity, mortality and healthcare costs associated with CVD.

OBJECTIVES

To establish the effectiveness of interventions delivered by mobile phone to improve adherence to medication prescribed for the primary prevention of CVD in adults.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, and two other databases on 7 January 2020. We also searched two clinical trials registers on 5 February 2020. We searched reference lists of relevant papers. We applied no language or date restrictions.

SELECTION CRITERIA

We included randomised controlled trials investigating interventions delivered wholly or partly by mobile phones to improve adherence to cardiovascular medications prescribed for the primary prevention of CVD. We only included trials with a minimum of one-year follow-up in order that the outcome measures related to longer-term, sustained medication adherence behaviours and outcomes. Eligible comparators were usual care or control groups receiving no mobile phone-delivered component of the intervention.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures recommended by Cochrane. The main outcomes of interest were objective measures of medication adherence (blood pressure (BP) and cholesterol), CVD events, and adverse events. We contacted study authors for further information when this was not reported.

MAIN RESULTS

We included 14 trials with 25,633 randomised participants. Participants were recruited from community-based primary and tertiary care or outpatient clinics. The interventions varied widely from those delivered solely through short messaging service (SMS) to those involving a combination of modes of delivery, such as SMS in addition to healthcare worker training, face-to-face counselling, electronic pillboxes, written materials, and home blood pressure monitors. Some interventions only targeted medication adherence, while others additionally targeted lifestyle changes such as diet and exercise. Due to heterogeneity in the nature and delivery of the interventions and study populations, we reported most results narratively, with the exception of two trials which were similar enough to meaningfully pool in meta-analyses. The body of evidence for the effect of mobile phone-based interventions on objective outcomes of adherence (BP and cholesterol) was of low certainty, due to most trials being at high risk of bias, and inconsistency in outcome effects. Two trials were at low risk of bias. Among five trials (total study enrolment: 5441 participants) recording low-density lipoprotein cholesterol (LDL-C), two studies found evidence for a small beneficial intervention effect on reducing LDL-C (-5.30 mg/dL, 95% confidence interval (CI) -8.30 to -2.30; and -9.20 mg/dL, 95% CI -17.70 to -0.70). The other three studies found results varying from a small reduction (-7.7 mg/dL) to a small increase in LDL-C (0.77 mg/dL). All of which had wide confidence intervals that included no effect. Across 13 studies (25,166 participants) measuring systolic blood pressure, effect estimates ranged from a large reduction (MD -12.45 mmHg, 95% CI -15.02 to -9.88) to a small increase (MD 2.80 mmHg, 95% CI 0.30 to 5.30). We found a similar range of effect estimates for diastolic BP, ranging from -12.23 mmHg (95% CI 14.03 to -10.43) to 1.64 mmHg (95% CI -0.55 to 3.83) (11 trials, 19,716 participants). Four trials showed intervention benefits for systolic and diastolic BP with confidence intervals excluding no effect, and among these were all three of the trials evaluating self-monitoring of blood pressure with mobile phone-based telemedicine. The fourth trial included SMS and provider support (with additional varied features). Seven studies (19,185 participants) reported 'controlled' BP as an outcome, and intervention effect estimates varied from negligible effects (odds ratio (OR) 1.01, 95% CI 0.76 to 1.34) to large improvements in BP control (OR 2.41, 95% CI: 1.57 to 3.68). The three trials of clinician training or decision support combined with SMS (with additional varied features) had confidence intervals encompassing benefits and harms, with point estimates close to zero. Pooled analyses of the two trials of interventions solely delivered through SMS were indicative of little or no beneficial intervention effect on systolic BP (MD -1.55 mmHg, 95% CI -3.36 to 0.25; I= 0%) and small increases in controlled BP (OR 1.32, 95% CI 1.06 to 1.65; I= 0%). Based on four studies (12,439 participants), there was very low-certainty evidence (downgraded twice for imprecision and once for risk of bias) relating to the intervention effect on combined (fatal and non-fatal) CVD events. Two studies (2535 participants) provided low-certainty evidence for the effect of the intervention on cognitive outcomes, with little or no difference between trial arms for perceived quality of care and satisfaction with treatment. There was moderate-certainty evidence (downgraded due to risk of bias) that the interventions did not cause harm, based on six studies (8285 participants). Three studies reported no adverse events attributable to the intervention. One study reported no difference between groups in experience of adverse effects of statins, and that no participants reported intervention-related adverse events. One study stated that potential side effects were similar between groups. One study reported a similar number of deaths in each arm, but did not provide further information relating to potential adverse events.

AUTHORS' CONCLUSIONS: There is low-certainty evidence on the effects of mobile phone-delivered interventions to increase adherence to medication prescribed for the primary prevention of CVD. Trials of BP self-monitoring with mobile-phone telemedicine support reported modest benefits. One trial at low risk of bias reported modest reductions in LDL cholesterol but no benefits for BP. There is moderate-certainty evidence that these interventions do not result in harm. Further trials of these interventions are warranted.

摘要

背景

心血管疾病(CVD)是全球范围内导致残疾和死亡的主要原因。通过生活方式的改变和预防性药物治疗来控制风险因素,可以预防大多数致命和非致命的心血管疾病。降脂和降压药物治疗在高危人群中降低心血管疾病发病率和死亡率是具有成本效益的,并且被国际指南推荐。然而,预防心血管疾病的药物的依从性可能很差。在欧盟,大约 9%的心血管疾病病例归因于对血管药物的依从性差。具有降低成本、可扩展的干预措施,以提高预防 CVD 的药物的依从性,有可能降低与 CVD 相关的发病率、死亡率和医疗保健成本。

目的

评估通过移动电话为成年人提供的药物预防 CVD 的干预措施的有效性。

检索策略

我们于 2020 年 1 月 7 日在 CENTRAL、MEDLINE、Embase 和另外两个数据库中进行了检索。我们还于 2020 年 2 月 5 日在两个临床试验注册中心进行了检索。我们查阅了相关论文的参考文献列表。我们没有对语言或日期进行限制。

纳入排除标准

我们纳入了完全或部分通过手机提供以提高预防 CVD 的心血管药物依从性的随机对照试验。我们仅纳入了随访至少一年的试验,以便相关措施能够与更长期的、持续的药物依从性行为和结果相关。合适的对照组是未接受移动电话干预的常规护理或对照组。

数据收集与分析

我们使用 Cochrane 推荐的标准方法学程序。主要结局指标是药物依从性的客观测量(血压(BP)和胆固醇)、CVD 事件和不良事件。当没有报告这些指标时,我们会联系研究作者以获取更多信息。

主要结果

我们纳入了 14 项试验,共有 25633 名随机参与者。参与者来自社区为基础的初级和三级保健或门诊诊所。干预措施差异很大,从仅通过短信服务(SMS)提供到结合多种模式的干预措施,例如除了医疗保健工作者培训、面对面咨询、电子药盒、书面材料和家用血压监测器之外还提供 SMS。一些干预措施仅针对药物依从性,而其他干预措施则额外针对饮食和运动等生活方式的改变。由于干预措施和研究人群的性质和提供方式存在很大差异,除了两项相似到足以进行有意义的荟萃分析的试验外,我们报告了大多数结果的叙述性内容。基于大多数试验存在高偏倚风险,并且结局效果不一致,因此基于移动电话干预对依从性的客观结局(血压和胆固醇)的证据的确定性为低。两项试验的偏倚风险较低。在五项记录低密度脂蛋白胆固醇(LDL-C)的试验(总研究人数:5441 人)中,两项研究发现对降低 LDL-C 有小的有益干预作用(-5.30mg/dL,95%置信区间(CI)-8.30 至-2.30;和-9.20mg/dL,95%CI-17.70 至-0.70)。另外三项研究发现 LDL-C 减少(-7.7mg/dL)或增加(0.77mg/dL)的结果。所有这些结果的置信区间都包含没有效果。在测量收缩压的 13 项研究(25166 名参与者)中,效应估计值范围从较大的降低(MD-12.45mmHg,95%CI-15.02 至-9.88)到较小的增加(MD2.80mmHg,95%CI0.30 至 5.30)。我们发现舒张压的效应估计值范围相似,从-12.23mmHg(95%CI14.03 至-10.43)到 1.64mmHg(95%CI-0.55 至 3.83)(11 项试验,19716 名参与者)。四项试验显示收缩压和舒张压的干预益处,置信区间排除无效果,其中三项试验评估了移动电话为基础的远程医疗的自我血压监测。第四项试验包括短信和提供者支持(还有其他不同的特征)。有 7 项研究(19185 名参与者)报告了“控制”的血压作为结局,干预效果估计值从微不足道的效果(比值比(OR)1.01,95%CI0.76 至 1.34)到血压控制的显著改善(OR2.41,95%CI:1.57 至 3.68)。三项结合短信(还有其他不同的特征)的医生培训或决策支持的试验的置信区间包括了获益和危害,点估计值接近零。对仅通过短信提供的两项试验的汇总分析表明,对收缩压(MD-1.55mmHg,95%CI-3.36 至 0.25;I=0%)和控制血压(OR1.32,95%CI1.06 至 1.65;I=0%)的干预效果没有或几乎没有有益影响。基于四项研究(12439 名参与者),存在非常低确定性证据(因不精确和偏倚两次降级,因偏倚一次降级),与干预对致命和非致命性 CVD 事件的综合影响有关。两项研究(2535 名参与者)提供了干预对认知结果影响的低确定性证据,试验组与对照组之间在感知护理质量和治疗满意度方面几乎没有差异。有中等确定性证据(因偏倚降级)表明,这些干预措施不会造成伤害,基于六项研究(8285 名参与者)。三项研究报告没有归因于干预的不良事件。一项研究报告他汀类药物的不良反应在组间没有差异,没有参与者报告与干预相关的不良事件。一项研究指出潜在的副作用在组间相似。一项研究报告了每组的死亡人数相似,但没有提供与潜在不良事件相关的进一步信息。

作者结论

有低确定性证据表明,移动电话提供的干预措施可增加预防 CVD 的药物的依从性。使用移动电话远程医疗进行血压自我监测的试验支持了适度的益处。一项低偏倚风险的试验报告了 LDL 胆固醇的适度降低,但对血压没有益处。有中等确定性证据表明,这些干预措施不会造成伤害。需要进一步的试验来验证这些干预措施。