Department of Epidemiology & Bio-statistics, McGill University, Montreal, Quebec, Canada.
Med Decis Making. 2010 Mar-Apr;30(2):176-88. doi: 10.1177/0272989X09342752. Epub 2009 Aug 12.
Adherence with antihypertensive and lipid-lowering therapy is poor, resulting in an almost 2-fold increase in hospitalization. Treatment side effects, cost, and complexity are common reasons for nonadherence, and physicians are often unaware of these potentially modifiable problems.
To determine if a cardiovascular medication tracking and nonadherence alert system, incorporated into a computerized health record system, would increase drug profile review by primary care physicians, increase the likelihood of therapy change, and improve adherence with antihypertensive and lipid-lowering drugs.
There were 2293 primary care patients prescribed lipid-lowering or antihypertensive drugs who were randomized to the adherence tracking and alert system or active medication list alone to determine if the intervention increased drug profile review, changes in cardiovascular drug treatment, and refill adherence in the first 6 months. An intention to treat analysis was conducted using generalized estimating equations to account for clustering within physician.
Overall, medication adherence was below 80% for 36.3% of patients using lipid-lowering drugs and 40.8% of patients using antihypertensives at the start of the trial. There was a significant increase in drug profile review in the intervention compared to the control group (44.5% v. 35.5%; P < 0.001), a nonsignificant increase in drug discontinuations due to side effects (2.3% v. 2.0%; P = 0.61), and a reduction in therapy increases (28.5% v. 29.1%; P = 0.86). There was no significant change in refill adherence after 6 months of follow-up.
An adherence tracking and alert system increases drug review but not therapy changes or adherence in prevalent users of cardiovascular drug treatment. Targeting incident users where adverse treatment effects are more common and combining adherence tracking and alert tools with motivational interventions provided by multidisciplinary primary care teams may improve the effectiveness of the intervention.
抗高血压和降脂治疗的依从性很差,导致住院率几乎增加了一倍。治疗副作用、费用和复杂性是导致不依从的常见原因,而医生通常不知道这些潜在的可改变的问题。
确定将心血管药物跟踪和不依从警报系统纳入计算机化健康记录系统是否会增加初级保健医生对药物概况的审查,增加治疗改变的可能性,并改善抗高血压和降脂药物的依从性。
有 2293 名接受降脂或抗高血压药物治疗的初级保健患者被随机分配到依从性跟踪和警报系统或单独的活性药物清单组,以确定干预是否增加了药物概况审查、心血管药物治疗的改变以及在头 6 个月的药物补充。使用广义估计方程进行意向治疗分析,以考虑医生内部的聚类。
总的来说,在试验开始时,使用降脂药物的患者中有 36.3%,使用抗高血压药物的患者中有 40.8%的药物依从性低于 80%。与对照组相比,干预组的药物概况审查显著增加(44.5%比 35.5%;P < 0.001),因副作用而停药的比例略有增加(2.3%比 2.0%;P = 0.61),而治疗增加的比例则有所下降(28.5%比 29.1%;P = 0.86)。在 6 个月的随访后,药物补充的依从性没有显著变化。
依从性跟踪和警报系统增加了药物审查,但不能改变治疗改变或心血管药物治疗的现有使用者的依从性。针对不良反应更常见的新使用者,将依从性跟踪和警报工具与多学科初级保健团队提供的动机干预相结合,可能会提高干预的效果。