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Self-reported adherence and reasons for nonadherence among patients with low proportion of days covered for antihypertension medications.报告的依从性和低比例天数覆盖的抗高血压药物患者不依从的原因。
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Development and acceptance of a new adherence monitoring package to identify non-adherent patients with polypharmacy in primary care: a feasibility study.开发和接受新的依从性监测包,以确定初级保健中同时服用多种药物的不依从患者:一项可行性研究。
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1
A hybrid 4-item Krousel-Wood Medication Adherence Scale predicts cardiovascular events in older hypertensive adults.一项混合的 4 项 Krousel-Wood 药物依从性量表可预测老年高血压患者的心血管事件。
J Hypertens. 2019 Apr;37(4):851-859. doi: 10.1097/HJH.0000000000001955.
2
Self-reported medication nonadherence predicts cholesterol levels over time.患者自述的药物不依从性可预测随时间推移的胆固醇水平。
J Psychosom Res. 2019 Mar;118:49-55. doi: 10.1016/j.jpsychores.2019.01.010. Epub 2019 Jan 18.
3
Identifying targets for cardiovascular medication adherence interventions through latent class analysis.通过潜在类别分析确定心血管药物治疗依从性干预的目标。
Health Psychol. 2018 Nov;37(11):1006-1014. doi: 10.1037/hea0000661. Epub 2018 Sep 10.
4
ESPACOMP Medication Adherence Reporting Guideline (EMERGE).《ESPACOMP 药物依从性报告指南(EMERGE)》。
Ann Intern Med. 2018 Jul 3;169(1):30-35. doi: 10.7326/M18-0543. Epub 2018 Jun 26.
5
The need for a paradigm shift in adherence research: The case of ADHD.需要在依从性研究中进行范式转变:以 ADHD 为例。
Res Social Adm Pharm. 2019 Mar;15(3):318-320. doi: 10.1016/j.sapharm.2018.04.033. Epub 2018 Apr 30.
6
The NIH Science of Behavior Change Program: Transforming the science through a focus on mechanisms of change.美国国立卫生研究院行为改变科学计划:通过关注变化机制来推动科学发展。
Behav Res Ther. 2018 Feb;101:3-11. doi: 10.1016/j.brat.2017.07.002. Epub 2017 Jul 6.
7
The myths of medication adherence.药物依从性的误区。
Pharmacoepidemiol Drug Saf. 2017 Dec;26(12):1437-1441. doi: 10.1002/pds.4334. Epub 2017 Oct 10.
8
Concordance of Adherence Measurement Using Self-Reported Adherence Questionnaires and Medication Monitoring Devices: An Updated Review.使用自我报告的依从性问卷和药物监测设备进行依从性测量的一致性:更新综述。
Pharmacoeconomics. 2018 Jan;36(1):17-27. doi: 10.1007/s40273-017-0570-9.
9
Addressing the Social Needs of Hypertensive Patients: The Role of Patient-Provider Communication as a Predictor of Medication Adherence.满足高血压患者的社会需求:医患沟通作为药物依从性预测因素的作用。
Circ Cardiovasc Qual Outcomes. 2017 Sep;10(9). doi: 10.1161/CIRCOUTCOMES.117.003659.
10
In Search of a "Magic Pill" for Medication Nonadherence.寻找治疗药物不依从性的“神奇药丸”。
JAMA Intern Med. 2017 May 1;177(5):631-632. doi: 10.1001/jamainternmed.2016.9658.

测量药物不依从的多个领域:一项对依从性专家的德尔菲调查结果。

Measuring the multiple domains of medication nonadherence: findings from a Delphi survey of adherence experts.

机构信息

Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, USA.

Division of Pharmaceutical Outcomes and Policy, University of North Carolina, Eshelman School of Pharmacy, Chapel Hill, NC, USA.

出版信息

Transl Behav Med. 2021 Feb 11;11(1):104-113. doi: 10.1093/tbm/ibz133.

DOI:10.1093/tbm/ibz133
PMID:31580451
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7877304/
Abstract

Consensus on a gold-standard measure of patient medication nonadherence has been elusive, in part because medication nonadherence involves multiple, distinct behaviors across three phases (initiation, implementation, and persistence). To assess these behaviors, multiple measurement approaches may be needed. The purpose of this study was to identify expert-recommended approaches to measuring nonadherence behaviors. Thirty medication nonadherence experts were e-mailed two consecutive surveys. In both, respondents rated their agreement with definitions of nonadherence behaviors and measurement approaches. In the second survey, respondents rated the suitability of each measurement approach for assessing each behavior and identified the optimal measurement approach for each behavior. Consensus was achieved for eight patient medication nonadherence behaviors: not filling initial prescription and not taking first dose (noninitiation); refilling prescription late, missing doses, taking extra doses, taking doses at wrong time, and improperly administering medication (incorrect implementation); and discontinuing medication early (nonpersistence). Consensus was achieved for seven measurement approaches: self-report, prescription fill data, pill count, drug levels, electronic drug monitoring (EDM), smart technology, and direct observation. Self-report questionnaires were most commonly rated "at least somewhat suitable" for measuring behaviors. EDM was rated as optimal for measuring missing doses, taking extra doses, and taking doses at the wrong time. Prescription fill data were rated as optimal for not filling initial prescription, refilling late, and discontinuing. Direct observation was rated as optimal for measuring improper administration. Suitable and optimal measurement approaches varied across nonadherence behaviors. Researchers should select the measurement approach best suited to assessing the behavior(s) targeted in their research.

摘要

对于患者用药依从性的金标准衡量指标,尚未达成共识,部分原因是用药依从性涉及三个阶段(起始、执行和维持)的多种不同行为。为了评估这些行为,可能需要多种测量方法。本研究旨在确定专家推荐的测量不依从行为的方法。向 30 名用药不依从性专家发送了两封连续的电子邮件调查。在这两封调查中,受访者对不依从行为和测量方法的定义表示了认同。在第二次调查中,受访者对每种测量方法评估每种行为的适用性进行了评分,并确定了每种行为的最佳测量方法。对于八种患者用药不依从行为达成了共识:未开初始处方和未服用第一剂(起始阶段);延迟续方、漏服、服用过量、服用时间错误和不正确给药(执行阶段);以及过早停药(维持阶段)。对于七种测量方法达成了共识:自我报告、处方配药数据、药丸计数、药物水平、电子药物监测(EDM)、智能技术和直接观察。自我报告问卷最常被评为“至少有些适合”用于测量行为。EDM 被评为测量漏服、服用过量和服用时间错误的最佳方法。处方配药数据被评为不填初始处方、延迟续方和停药的最佳方法。直接观察被评为测量不当给药的最佳方法。适合和最佳的测量方法因不依从行为而异。研究人员应选择最适合评估其研究目标行为的测量方法。