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移动健康干预措施的影响:系统评价的系统综述

The Impact of mHealth Interventions: Systematic Review of Systematic Reviews.

作者信息

Marcolino Milena Soriano, Oliveira João Antonio Queiroz, D'Agostino Marcelo, Ribeiro Antonio Luiz, Alkmim Maria Beatriz Moreira, Novillo-Ortiz David

机构信息

Medical School and Telehealth Center, University Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

Pan American Health Organization, Washington, DC, United States.

出版信息

JMIR Mhealth Uhealth. 2018 Jan 17;6(1):e23. doi: 10.2196/mhealth.8873.

Abstract

BACKGROUND

Mobile phone usage has been rapidly increasing worldwide. mHealth could efficiently deliver high-quality health care, but the evidence supporting its current effectiveness is still mixed.

OBJECTIVE

We performed a systematic review of systematic reviews to assess the impact or effectiveness of mobile health (mHealth) interventions in different health conditions and in the processes of health care service delivery.

METHODS

We used a common search strategy of five major scientific databases, restricting the search by publication date, language, and parameters in methodology and content. Methodological quality was evaluated using the Measurement Tool to Assess Systematic Reviews (AMSTAR) checklist.

RESULTS

The searches resulted in a total of 10,689 articles. Of these, 23 systematic reviews (371 studies; more than 79,665 patients) were included. Seventeen reviews included studies performed in low- and middle-income countries. The studies used diverse mHealth interventions, most frequently text messaging (short message service, SMS) applied to different purposes (reminder, alert, education, motivation, prevention). Ten reviews were rated as low quality (AMSTAR score 0-4), seven were rated as moderate quality (AMSTAR score 5-8), and six were categorized as high quality (AMSTAR score 9-11). A beneficial impact of mHealth was observed in chronic disease management, showing improvement in symptoms and peak flow variability in asthma patients, reducing hospitalizations and improving forced expiratory volume in 1 second; improving chronic pulmonary diseases symptoms; improving heart failure symptoms, reducing deaths and hospitalization; improving glycemic control in diabetes patients; improving blood pressure in hypertensive patients; and reducing weight in overweight and obese patients. Studies also showed a positive impact of SMS reminders in improving attendance rates, with a similar impact to phone call reminders at reduced cost, and improved adherence to tuberculosis and human immunodeficiency virus therapy in some scenarios, with evidence of decrease of viral load.

CONCLUSIONS

Although mHealth is growing in popularity, the evidence for efficacy is still limited. In general, the methodological quality of the studies included in the systematic reviews is low. For some fields, its impact is not evident, the results are mixed, or no long-term studies exist. Exceptions include the moderate quality evidence of improvement in asthma patients, attendance rates, and increased smoking abstinence rates. Most studies were performed in high-income countries, implying that mHealth is still at an early stage of development in low-income countries.

摘要

背景

全球范围内手机使用量一直在迅速增长。移动健康(mHealth)能够高效地提供高质量医疗保健服务,但支持其当前有效性的证据仍参差不齐。

目的

我们对系统评价进行了一项系统综述,以评估移动健康(mHealth)干预措施在不同健康状况以及医疗服务提供过程中的影响或效果。

方法

我们采用了一种通用的检索策略,检索五个主要科学数据库,并通过出版日期、语言以及方法学和内容方面的参数进行限制。使用评估系统评价的测量工具(AMSTAR)清单来评估方法学质量。

结果

检索共得到10689篇文章。其中,纳入了23项系统评价(371项研究;超过79665名患者)。17项评价纳入了在低收入和中等收入国家开展的研究。这些研究使用了多种移动健康干预措施,最常见的是应用于不同目的(提醒、警报、教育、激励、预防)的短信(短消息服务,SMS)。10项评价被评为低质量(AMSTAR评分0 - 4),7项被评为中等质量(AMSTAR评分5 - 8),6项被归类为高质量(AMSTAR评分9 - 11)。在慢性病管理中观察到移动健康的有益影响:哮喘患者的症状和呼气峰流量变异性得到改善,住院次数减少,一秒用力呼气量增加;慢性肺部疾病症状得到改善;心力衰竭症状改善,死亡和住院人数减少;糖尿病患者的血糖控制得到改善;高血压患者的血压得到改善;超重和肥胖患者体重减轻。研究还表明,短信提醒对提高出勤率有积极影响,成本降低的情况下与电话提醒效果相似,并且在某些情况下对改善结核病和人类免疫缺陷病毒治疗的依从性有积极影响,有病毒载量下降的证据。

结论

尽管移动健康越来越受欢迎,但其有效性的证据仍然有限。总体而言,系统评价中纳入的研究的方法学质量较低。对于某些领域,其影响不明显,结果参差不齐,或者没有长期研究。例外情况包括哮喘患者改善、出勤率提高以及戒烟率增加的中等质量证据。大多数研究在高收入国家进行,这意味着移动健康在低收入国家仍处于早期发展阶段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293a/5792697/04af71d45de9/mhealth_v6i1e23_fig1.jpg

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