Explaining attitudes and adherence to antipsychotic medication: the development of a process model.

IF 3.6 Q1 PSYCHIATRY Schizophrenia Research and Treatment Pub Date : 2014-01-01 Epub Date: 2014-02-19 DOI:10.1155/2014/341545
Martin Wiesjahn, Esther Jung, Fabian Lamster, Winfried Rief, Tania M Lincoln
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引用次数: 22

Abstract

Although nonadherence to antipsychotic medication poses a threat to outcome of medical treatment, the processes preceding the intake behavior have not been investigated sufficiently. This study tests a process model of medication adherence derived from the Health Belief Model which is based on cost-benefit considerations. The model includes an extensive set of potential predictors for medication attitudes and uses these attitudes as a predictor for medication adherence. We conducted an online study of 84 participants with a self-reported psychotic disorder and performed a path analysis. More insight into the need for treatment, a higher attribution of the symptoms to a mental disorder, experience of less negative side effects, presence of biological causal beliefs, and less endorsement of psychological causal beliefs were significant predictors of more positive attitudes towards medication. The results largely supported the postulated process model. Mental health professionals should consider attitudes towards medication and the identified predictors when they address adherence problems with the patient in a shared and informed decision process.

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解释对抗精神病药物的态度和依从性:过程模型的发展。
虽然抗精神病药物的不依从性对药物治疗的结果构成威胁,但摄入行为之前的过程尚未得到充分的调查。本研究检验了基于成本效益考量的健康信念模型衍生出的药物依从性过程模型。该模型包括一套广泛的药物态度的潜在预测因素,并使用这些态度作为药物依从性的预测因素。我们对84名自我报告患有精神障碍的参与者进行了一项在线研究,并进行了通径分析。更深入地了解治疗的需要,更容易将症状归因于精神障碍,经历更少的负面副作用,存在生物因果信念,更少支持心理因果信念,这些都是对药物治疗持更积极态度的重要预测因素。结果在很大程度上支持了假设的过程模型。精神卫生专业人员应考虑对药物的态度和确定的预测因素,当他们在一个共享和知情的决策过程中与患者解决依从性问题。
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来源期刊
CiteScore
4.60
自引率
0.00%
发文量
2
审稿时长
14 weeks
期刊介绍: Schizophrenia Research and Treatment is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies related to all aspects of schizophrenia.
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