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针对2型糖尿病成年患者的基于计算机的糖尿病自我管理干预措施。

Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus.

作者信息

Pal Kingshuk, Eastwood Sophie V, Michie Susan, Farmer Andrew J, Barnard Maria L, Peacock Richard, Wood Bindie, Inniss Joni D, Murray Elizabeth

机构信息

Research Department of Primary Care and Population Health, University College London, London, UK.

出版信息

Cochrane Database Syst Rev. 2013 Mar 28;2013(3):CD008776. doi: 10.1002/14651858.CD008776.pub2.

Abstract

BACKGROUND

Diabetes is one of the commonest chronic medical conditions, affecting around 347 million adults worldwide. Structured patient education programmes reduce the risk of diabetes-related complications four-fold. Internet-based self-management programmes have been shown to be effective for a number of long-term conditions, but it is unclear what are the essential or effective components of such programmes. If computer-based self-management interventions improve outcomes in type 2 diabetes, they could potentially provide a cost-effective option for reducing the burdens placed on patients and healthcare systems by this long-term condition.

OBJECTIVES

To assess the effects on health status and health-related quality of life of computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus.

SEARCH METHODS

We searched six electronic bibliographic databases for published articles and conference proceedings and three online databases for theses (all up to November 2011). Reference lists of relevant reports and reviews were also screened.

SELECTION CRITERIA

Randomised controlled trials of computer-based self-management interventions for adults with type 2 diabetes, i.e. computer-based software applications that respond to user input and aim to generate tailored content to improve one or more self-management domains through feedback, tailored advice, reinforcement and rewards, patient decision support, goal setting or reminders.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened the abstracts and extracted data. A taxonomy for behaviour change techniques was used to describe the active ingredients of the intervention.

MAIN RESULTS

We identified 16 randomised controlled trials with 3578 participants that fitted our inclusion criteria. These studies included a wide spectrum of interventions covering clinic-based brief interventions, Internet-based interventions that could be used from home and mobile phone-based interventions. The mean age of participants was between 46 to 67 years old and mean time since diagnosis was 6 to 13 years. The duration of the interventions varied between 1 to 12 months. There were three reported deaths out of 3578 participants.Computer-based diabetes self-management interventions currently have limited effectiveness. They appear to have small benefits on glycaemic control (pooled effect on glycosylated haemoglobin A1c (HbA1c): -2.3 mmol/mol or -0.2% (95% confidence interval (CI) -0.4 to -0.1; P = 0.009; 2637 participants; 11 trials). The effect size on HbA1c was larger in the mobile phone subgroup (subgroup analysis: mean difference in HbA1c -5.5 mmol/mol or -0.5% (95% CI -0.7 to -0.3); P < 0.00001; 280 participants; three trials). Current interventions do not show adequate evidence for improving depression, health-related quality of life or weight. Four (out of 10) interventions showed beneficial effects on lipid profile.One participant withdrew because of anxiety but there were no other documented adverse effects. Two studies provided limited cost-effectiveness data - with one study suggesting costs per patient of less than $140 (in 1997) or 105 EURO and another study showed no change in health behaviour and resource utilisation.

AUTHORS' CONCLUSIONS: Computer-based diabetes self-management interventions to manage type 2 diabetes appear to have a small beneficial effect on blood glucose control and the effect was larger in the mobile phone subgroup. There is no evidence to show benefits in other biological outcomes or any cognitive, behavioural or emotional outcomes.

摘要

背景

糖尿病是最常见的慢性疾病之一,全球约有3.47亿成年人受其影响。结构化的患者教育项目可将糖尿病相关并发症的风险降低四倍。基于互联网的自我管理项目已被证明对多种长期疾病有效,但此类项目的基本或有效组成部分尚不清楚。如果基于计算机的自我管理干预措施能改善2型糖尿病的治疗效果,那么它们有可能为减轻这种长期疾病给患者和医疗系统带来的负担提供一种具有成本效益的选择。

目的

评估基于计算机的糖尿病自我管理干预措施对2型糖尿病成年患者健康状况和健康相关生活质量的影响。

检索方法

我们检索了六个电子文献数据库以查找已发表的文章和会议论文集,并检索了三个在线数据库以查找论文(均截至2011年11月)。还筛选了相关报告和综述的参考文献列表。

选择标准

针对2型糖尿病成年患者的基于计算机的自我管理干预措施的随机对照试验,即基于计算机的软件应用程序,该程序可响应用户输入,并旨在通过反馈、个性化建议、强化和奖励、患者决策支持、目标设定或提醒等方式生成定制内容,以改善一个或多个自我管理领域。

数据收集与分析

两位综述作者独立筛选摘要并提取数据。使用行为改变技术分类法来描述干预措施的有效成分。

主要结果

我们确定了16项符合纳入标准的随机对照试验,涉及3578名参与者。这些研究包括广泛的干预措施,涵盖基于诊所的简短干预、可在家中使用的基于互联网的干预以及基于手机的干预。参与者的平均年龄在46至67岁之间,自诊断以来的平均时间为6至13年。干预持续时间在1至12个月之间。3578名参与者中有3例报告死亡。基于计算机的糖尿病自我管理干预措施目前效果有限。它们似乎对血糖控制有微小益处(糖化血红蛋白A1c(HbA1c)的合并效应:-2.3 mmol/mol或-0.2%(95%置信区间(CI)-0.4至-0.1;P = 0.009;2637名参与者;11项试验)。手机亚组中HbA1c的效应量更大(亚组分析:HbA1c的平均差异为-5.5 mmol/mol或-0.5%(95% CI -0.7至-0.3);P < 0.00001;280名参与者;3项试验)。目前的干预措施没有充分证据表明能改善抑郁、健康相关生活质量或体重。10项干预措施中有4项对血脂谱有有益影响。有1名参与者因焦虑退出,但没有其他记录在案的不良反应。两项研究提供了有限的成本效益数据——一项研究表明每位患者的成本低于140美元(1997年)或105欧元,另一项研究表明健康行为和资源利用没有变化。

作者结论

基于计算机的糖尿病自我管理干预措施对2型糖尿病的管理似乎对血糖控制有微小益处,且在手机亚组中效果更大。没有证据表明在其他生物学结果或任何认知、行为或情感结果方面有益处。

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