Rosenberg Stephen N, Shnaiden Tatiana L, Wegh Arnold A, Juster Iver A
Division of Outcomes Research, ActiveHealth Management, New York, NY 10018, USA.
Am J Manag Care. 2008 Nov;14(11):737-44.
Clinical messages alerting physicians to gaps in the care of specific patients have been shown to increase compliance with evidence-based guidelines. This study sought to measure any additional impact on compliance when alerting messages also were sent to patients.
For alerts that were generated by computerized clinical rules applied to claims, compliance was determined by subsequent claims evidence (eg, that recommended tests were performed). Compliance was measured in the baseline year and the study year for 4 study group employers (combined membership >100,000) that chose to add patient messaging in the study year, and 28 similar control group employers (combined membership >700,000) that maintained physician messaging but did not add patient messaging.
The impact of patient messaging was assessed by comparing changes in compliance from baseline to study year in the 2 groups. Multiple logistic regression was used to control for differences between the groups. Because a given member or physician could receive multiple alerts, generalized estimating equations with clustering by patient and physician were used.
Controlling for differences in age, sex, and the severity and types of clinical alerts between the study and control groups, the addition of patient messaging increased compliance by 12.5% (P <.001). This increase was primarily because of improved responses to alerts regarding the need for screening, diagnostic, and monitoring tests.
Supplementing clinical alerts to physicians with messages directly to their patients produced a statistically significant increase in compliance with the evidence-based guidelines underlying the alerts.
已证明向医生发出特定患者护理差距的临床提示可提高对循证指南的依从性。本研究旨在衡量当提示信息也发送给患者时对依从性的任何额外影响。
对于由应用于理赔的计算机化临床规则生成的提示,依从性由后续理赔证据确定(例如,推荐的检查已进行)。在基线年份和研究年份对4个选择在研究年份添加患者信息的研究组雇主(联合成员超过10万)以及28个维持医生信息但未添加患者信息的类似对照组雇主(联合成员超过70万)的依从性进行了测量。
通过比较两组从基线到研究年份依从性的变化来评估患者信息的影响。使用多元逻辑回归来控制组间差异。由于给定成员或医生可能收到多个提示,因此使用了按患者和医生聚类的广义估计方程。
在控制了研究组和对照组之间年龄、性别以及临床提示的严重程度和类型的差异后,添加患者信息使依从性提高了12.5%(P<.001)。这一增加主要是由于对筛查、诊断和监测检查需求提示的反应有所改善。
在向医生发出临床提示的基础上,直接向患者发送信息,在统计上显著提高了对提示所基于的循证指南的依从性。