多方法手段是否能提高青少年慢性肾脏病患者药物治疗依从性的识别率?
Does a multimethod approach improve identification of medication nonadherence in adolescents with chronic kidney disease?
机构信息
Pediatrics, Johns Hopkins University, 200 N. Wolfe Street, Room 3055, Baltimore, MD, 21287, USA.
Psychiatry & Behavioral Sciences, George Washington School of Medicine, Washington, DC, USA.
出版信息
Pediatr Nephrol. 2019 Jan;34(1):97-105. doi: 10.1007/s00467-018-4044-x. Epub 2018 Aug 16.
BACKGROUND
Medical provider assessment of nonadherence is known to be inaccurate. Researchers have suggested using a multimethod assessment approach; however, no study has demonstrated how to integrate different measures to improve accuracy. This study aimed to determine if using additional measures improves the accurate identification of nonadherence beyond provider assessment alone.
METHODS
Eighty-seven adolescents and young adults (AYAs), age 11-19 years, with chronic kidney disease (CKD) [stage 1-5/end-stage renal disease (ESRD)] and prescribed antihypertensive medication, their caregivers, and 17 medical providers participated in the multisite study. Five adherence measures were obtained: provider report, AYA report, caregiver report, electronic medication monitoring (MEMS), and pharmacy refill data [medication possession ratio (MPR)]. Concordance was calculated using kappa statistic. Sensitivity, specificity, positive predictive power, and negative predictive power were calculated using MEMS as the criterion for measuring adherence.
RESULTS
There was poor to fair concordance (kappas = 0.12-0.54), with 35-61% of AYAs classified as nonadherent depending on the measure. While both providers and MEMS classified 35% of the AYAs as nonadherent, sensitivity (0.57) and specificity (0.77) demonstrated poor agreement between the two measures on identifying which AYAs were nonadherent. Combining provider report of nonadherence and MPR < 75% resulted in the highest sensitivity for identifying nonadherence (0.90) and negative predictive power (0.88).
CONCLUSIONS
Nonadherence is prevalent in AYAs with CKD. Providers inaccurately identify nonadherence, leading to missed opportunities to intervene. Our study demonstrates the benefit to utilizing a multimethod approach to identify nonadherence in patients with chronic disease, an essential first step to reduce nonadherence.
背景
医疗服务提供者对不依从的评估被认为是不准确的。研究人员建议采用多方法评估方法;然而,没有研究表明如何整合不同的措施来提高准确性。本研究旨在确定是否使用额外的措施可以提高准确性,从而识别不依从的情况,而不仅仅是提供者的评估。
方法
87 名患有慢性肾脏病(CKD)[1-5 期/终末期肾病(ESRD)]且服用降压药物的青少年和年轻人(AYA)及其护理人员和 17 名医疗服务提供者参加了这项多地点研究。获得了五种依从性措施:提供者报告、AYA 报告、护理人员报告、电子药物监测(MEMS)和药房 refill 数据[药物利用率(MPR)]。使用 Kappa 统计计算一致性。使用 MEMS 作为衡量依从性的标准,计算敏感性、特异性、阳性预测值和阴性预测值。
结果
一致性较差到中等(Kappa 值为 0.12-0.54),根据测量方法,35%-61%的 AYA 被归类为不依从。虽然提供者和 MEMS 将 35%的 AYA 归类为不依从,但两种方法在识别哪些 AYA 不依从方面的敏感性(0.57)和特异性(0.77)差异较大。将提供者报告的不依从和 MPR<75%相结合,可提高识别不依从的敏感性(0.90)和阴性预测值(0.88)。
结论
CKD 的 AYA 中普遍存在不依从的情况。提供者对不依从的识别不准确,导致错失干预的机会。我们的研究表明,在慢性病患者中采用多方法评估方法来识别不依从是有益的,这是减少不依从的重要的第一步。
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