使用患者抗精神病药物依从性的信息来了解他们对其他药物的依从性。

Q1 Medicine
P and T Pub Date : 2019-06-01
Jason Shafrin, Alison R Silverstein, Joanna P MacEwan, Darius N Lakdawalla, Ainslie Hatch, Felicia M Forma
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引用次数: 0

摘要

目的:评估患者对非典型抗精神病药物的依从性与同时使用治疗其他严重精神疾病(SMIs)、2型糖尿病或高血压药物的依从性之间的关系。方法:在前一年被诊断为重度精神障碍(即双相情感障碍、重度抑郁症或精神分裂症)的患者中,我们使用健康保险索赔数据来衡量基于药物填充的依从性。被诊断为重度精神障碍的患者需要1)非典型口服抗精神病药物处方,2)同年另一次重度精神障碍治疗或口服抗糖尿病或抗高血压药物。患者同时对抗精神病药物和23种其他药物中的一种的依从性通过覆盖天数的比例(PDC)来测量。当PDC≥80%时,认为患者粘附。使用以下指标评估非典型抗精神病药物依从性与同时服药依从性之间的关联强度:准确性、阳性预测值(PPV)和阴性预测值(NPV)。结果:患者平均(标准差)年龄(N = 129614)为44.8(14.8)岁,女性占62.2%。基于非典型抗精神病药物对其他23种药物依从性的中位准确率为67%(范围55-71%;所有病例的准确率均低于50%,P < 0.001)。准确性高于先前研究中医生对依从性的预测(53%)。抗精神病药物依从性的阴性预测值(75%;范围,62-88%)普遍高于PPV (62%;范围,43 - 67%;均P < 0.001)。结论:患者对抗精神病药物的依从性信息为重度精神分裂症患者对其他药物的依从性提供了重要的见解。由于NPV高于PPV,对于重度精神分裂症患者,抗精神病药物的依从性可能是对非重度精神分裂症药物依从性的必要条件,但不是充分条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using Information on Patient Adherence to Antipsychotic Medication to Understand Their Adherence to Other Medications.

Using Information on Patient Adherence to Antipsychotic Medication to Understand Their Adherence to Other Medications.

Using Information on Patient Adherence to Antipsychotic Medication to Understand Their Adherence to Other Medications.

Using Information on Patient Adherence to Antipsychotic Medication to Understand Their Adherence to Other Medications.

Purpose: To assess how patient adherence to atypical antipsychotic medications is associated with adherence to concurrently used medications that treat other serious mental illnesses (SMIs), type-2 diabetes, or hypertension.

Methods: Among patients who had been diagnosed with an SMI (i.e., bipolar disorder, major depressive disorder, or schizophrenia) in the previous year, we used health-insurance claims data to measure adherence based on medication fills. Patients diagnosed with an SMI were required to have 1) a prescription for an atypical oral antipsychotic, and 2) another SMI therapy or oral anti-diabetic or antihypertensive agent in the same year. The patient's concurrent adherence to an antipsychotic and one of 23 other medications was measured by the proportion of days covered (PDC) over a one-year period. Patients were considered adherent when the PDC was ≥ 80%. The strength of the association between their atypical antipsychotic adherence and their concurrent medication adherence was evaluated using the following metrics: accuracy, positive predictive value (PPV), and negative predictive value (NPV).

Results: The average (standard deviation) age of patients (N = 129,614) was 44.8 (14.8) years and 62.2% of patients were female. The median accuracy based on atypical antipsychotic adherence to the other 23 medications was 67% (range, 55-71%; statistically different from 50% accuracy in all cases, P < 0.001). Accuracy was higher than physician predictions of adherence from previous studies (53%). The negative predictive value of antipsychotic adherence (75%; range, 62-88%) was generally higher than the PPV (62%; range, 43-67%; all, P < 0.001).

Conclusion: Information on patient adherence to antipsychotics provides significant insight into adherence to other medications often used by patients with SMI. Because NPV is higher than PPV, adherence to antipsychotics is likely to be a necessary but not sufficient condition for patients with SMI regarding adherence to non-SMI medications.

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来源期刊
P and T
P and T Medicine-Pharmacology (medical)
CiteScore
7.60
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