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利用健康信息技术提高药物依从性。

Use of health information technology to improve medication adherence.

机构信息

Center for Health Research, 3800 N Interstate Ave., Portland, OR 97227-1110, USA.

出版信息

Am J Manag Care. 2011 Dec;17(12 Spec No.):SP79-87.

Abstract

OBJECTIVES

To evaluate the effectiveness of an intervention based on health information technology (HIT) that used speech recognition software to promote adherence to inhaled corticosteroids (ICS) among individuals with asthma who were members of a large health maintenance organization.

STUDY DESIGN

Pragmatic randomized clinical trial.

METHODS

Adults with asthma enrolled in a large managed care organization (N = 8517) were randomized to receive either usual care or an interactive voice recognition (IVR) intervention designed to prompt medication refills and improve ICS adherence. The primary outcome was ICS adherence as measured by modified medication possession ratio calculated from the electronic medical record (EMR). Secondary measures included survey- and EMR-based measures of asthma morbidity.

RESULTS

Our primary analyses found that ICS adherence increased modestly but significantly for participants in the intervention group relative to those in the usual care group ( Δ= 0.02, 95% confidence interval 0.01-0.03), with a baseline adherence of 0.42 in both groups. No difference was observed in asthma morbidity measures. In post hoc analyses of participants receiving 2 or more direct IVR contacts or detailed messages, the intervention effect was more marked. The overall effect was triple that observed in the primary analyses (0.06 vs 0.02), and significant differences were observed between groups in asthma control.

CONCLUSIONS

An HIT-based adherence intervention shows potential for supporting medication adherence in patients with chronic diseases such as asthma. However, additional research is needed to determine how best to enhance the reach and effectiveness of such interventions.

摘要

目的

评估一项基于健康信息技术(HIT)的干预措施的效果,该干预措施使用语音识别软件来提高大型医疗保健组织中哮喘患者对吸入皮质类固醇(ICS)的依从性。

研究设计

实用随机临床试验。

方法

在一家大型管理式医疗保健组织中招募了患有哮喘的成年人(N=8517),他们被随机分配接受常规护理或交互式语音识别(IVR)干预,以提示药物补充并提高 ICS 依从性。主要结局是通过电子病历(EMR)计算的改良药物持有率来衡量的 ICS 依从性。次要措施包括基于调查和 EMR 的哮喘发病率衡量。

结果

我们的主要分析发现,与常规护理组相比,干预组的 ICS 依从性略有但显著增加(Δ=0.02,95%置信区间 0.01-0.03),两组的基线依从率均为 0.42。在哮喘发病率衡量方面未观察到差异。在接受 2 次或更多直接 IVR 联系或详细信息的参与者的事后分析中,干预效果更为明显。干预效果是主要分析中观察到的效果的三倍(0.06 对 0.02),并且在哮喘控制方面观察到组间存在显著差异。

结论

基于 HIT 的依从性干预措施显示出在支持患有慢性疾病(如哮喘)的患者的药物依从性方面的潜力。然而,需要进一步研究以确定如何最好地增强此类干预措施的效果和覆盖范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4657/3641901/a050f6d0499d/nihms450990f1.jpg

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