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评估从配药数据中实施多种抗逆转录病毒治疗依从性措施的影响:一份简短报告。

Assessing the impact of implementing multiple adherence measures to antiretroviral therapy from dispensing data: a short report.

机构信息

Centre for Big Data Research in Health - Faculty of Medicine and Health/ UNSW Sydney, Sydney, Australia.

Postgraduate Program in Health Data Science - Centre for Big Data Research in Health - Faculty of Medicine and Health / UNSW, Sydney, Australia.

出版信息

AIDS Care. 2023 Jul;35(7):970-975. doi: 10.1080/09540121.2022.2050179. Epub 2022 Mar 17.

Abstract

Pharmacy dispensing data are useful for estimating adherence to therapy. Here, we implement multiple adherence measures to antiretroviral therapy (ART) and provide an online tool for visualising results. We conducted a cohort study for 2,042 people dispensed ART in Australia. We assessed adherence using the Proportion of Days Covered (PDC) within 360 days of follow-up as a continuous measure and dichotomised (PDC ≥80%). We defined a covered day as the 1) exposure to ≥3 antiretrovirals at the same time 2) exposure to any antiretroviral 3) lowest number of days covered per antiretroviral 4) average of days covered over all antiretrovirals 5) highest number of days covered per antiretroviral. For each method, we conducted sensitivity analyses. The median PDC ranged between 93.3%-98.3%. Between 67.0%-87.7% of individuals were classified as adherent, with higher values for measure 2 (85.5%-89.7%) and lower values for measure 3 (67.0%-70.9%). Censoring loss to follow-up had a higher impact on adherence estimates than considering a grace period. The variation in adherence estimates can be substantial, especially when dichotomising adherence. Researchers should consider operationalising multiple measures to estimate adherence bounds and identify a range of people at risk of non-adherence for targeted interventions.

摘要

药物配给数据可用于评估治疗的依从性。在这里,我们实施了多种抗逆转录病毒疗法 (ART) 的依从性测量方法,并提供了一个在线工具来可视化结果。我们对在澳大利亚接受 ART 配给的 2042 人进行了队列研究。我们使用在随访的 360 天内的覆盖天数比例 (PDC) 作为连续测量,并将其分为二分类 (PDC≥80%)。我们定义一个覆盖日为 1) 同时接触≥3 种抗逆转录病毒药物 2) 接触任何抗逆转录病毒药物 3) 每种抗逆转录病毒药物的最低覆盖天数 4) 所有抗逆转录病毒药物的平均覆盖天数 5) 每种抗逆转录病毒药物的最高覆盖天数。对于每种方法,我们都进行了敏感性分析。PDC 的中位数在 93.3%-98.3%之间。有 67.0%-87.7%的人被归类为依从性良好,其中方法 2 的值更高 (85.5%-89.7%),方法 3 的值更低 (67.0%-70.9%)。随访丢失的 censoring 对依从性估计的影响大于考虑宽限期。依从性估计的变化可能很大,尤其是在将依从性分为二分类时。研究人员应考虑实施多种测量方法来估计依从性边界,并识别出一系列有非依从风险的人群,以便进行有针对性的干预。

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