Practical Approach to Measuring and Predicting Medication Adherence by Outpatient's SelfReport After More than 10 Years of Research in Psychopharmacology.

Q3 Pharmacology, Toxicology and Pharmaceutics
Neuropsychopharmacologia Hungarica Pub Date : 2021-12-01
Carlos De Las Cuevas, Judit Lazary, Laszlo Poganyi, Jose De Leon
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Abstract

Schizophrenia, bipolar disorder and major depression are associated with nonadherence registered mean figures of around 50%, highlighting the relevance of having simple adherence tools to incorporate into daily clinical practice. For 10 years we have focused on self-report as an assessment method and have studied thousands of outpatients taking thousands of psychiatric medications in three countries. Measurement of treatment adherence during use of polypharmacy is a really complex task as patients could adhere differently to the various medications prescribed, making it essential to assess adherence to each individual medication. This was not possible until the introduction of the Sidorkiewicz Adherence Tool that allows one to separate adherence to each medication, whether poor or not. Health psychologists have developed the Health Belief Model which has not received enough attention by psychiatrists. Based on this model, we have focused on personality styles and specific beliefs concerning specific medications as possible predictors of poor adherence. We developed the Patient Health Beliefs Questionnaire on Psychiatric Treatment which provides 5 self-reported personality dimensions: negative aspects of medication (pharmacophobia), positive aspects of medication (pharmacophilia), high/low psychological reactance, high/low doctor health locus of control (HLOC) and high/low internal HLOC. Based on the Beliefs about Medicines Questionnaire we have developed a measure of skepticism, defined as a patient's high concern about adverse reaction to an individual medication and a low belief in its necessity. Our research experience based on the tools for assessing and predicting adherence is presented in a practical manner by using seven boxes and examples. (Neuropsychopharmacol Hung 2021; 23(4): 336-346).

经过十多年的精神药理学研究,通过门诊病人的自我报告来测量和预测药物依从性的实用方法。
精神分裂症、双相情感障碍和重度抑郁症与不依从性相关,登记的平均数据约为50%,这突出了将简单的依从性工具纳入日常临床实践的重要性。10年来,我们一直把自我报告作为一种评估方法,并研究了三个国家数千名服用数千种精神药物的门诊病人。在使用多种药物的过程中,治疗依从性的测量是一项非常复杂的任务,因为患者对各种药物的依从性可能不同,因此评估每种药物的依从性至关重要。这在引入Sidorkiewicz依从性工具之前是不可能的,该工具允许人们区分对每种药物的依从性,无论是否差。健康心理学家提出的健康信念模型尚未得到精神科医生的足够重视。基于这个模型,我们把重点放在人格风格和特定的信念上,这些信念与特定药物有关,可能是依从性差的预测因素。我们开发了《精神科治疗患者健康信念问卷》,提供了5个自我报告的人格维度:药物的消极方面(药物恐惧症)、药物的积极方面(药物癖)、高/低心理抗拒、高/低医生健康控制点(HLOC)和高/低内部HLOC。基于对药物的信念调查问卷,我们开发了一种怀疑的测量方法,定义为患者对个别药物的不良反应的高度关注和对其必要性的低信念。我们基于评估和预测依从性的工具的研究经验通过使用七个方框和例子以实际的方式提出。(《神经精神药物》2021;23(4): 336 - 346)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neuropsychopharmacologia Hungarica
Neuropsychopharmacologia Hungarica Medicine-Medicine (all)
CiteScore
1.60
自引率
0.00%
发文量
8
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