Suppr超能文献

老年人对抑郁症治疗的依从性:一项叙述性综述。

Adherence to depression treatment in older adults: a narrative review.

作者信息

Zivin Kara, Kales Helen C

机构信息

National VA Serious Mental Illness Treatment, Research & Evaluation Center (SMITREC), Ann Arbor, Michigan 48109, USA.

出版信息

Drugs Aging. 2008;25(7):559-71. doi: 10.2165/00002512-200825070-00003.

Abstract

Depression in older adults has been detected, diagnosed and treated more frequently in recent years. However, substantial gaps in effective treatment remain. Adherence to depression treatment can be viewed as the 'next frontier' in the treatment of late-life depression. Using the Theory of Reasoned Action, a model of health behaviours, this paper conceptualizes and reviews the current evidence for key patient-level factors associated with depression treatment adherence among older adults. We categorize these factors according to how their impact on adherence might be affected by specialized treatment approaches or interventions as: (i) modifiable; (ii) potentially modifiable; and (iii) non-modifiable. Based on current evidence, modifiable factors associated with depression treatment adherence include patient attitudes, beliefs and social norms. Patient attitudes include perceptions of the effectiveness of depression treatment, preferences for the type of depression treatment and concepts regarding the aetiology of depression (e.g. resistance to viewing depression as a medical illness). There is also evidence from the literature that spiritual and religious beliefs may be important determinants of adherence to depression care. Social norms such as the impact of caregiver agreement with treatment recommendations and stigma may also affect adherence to depression treatment. Other factors may be less modifiable per se, but they may have an impact on adherence that is potentially modifiable by specialized interventions. Based upon a review of the current literature, potentially modifiable factors associated with adherence to depression treatment include co-morbid anxiety, substance use, cognitive status, polypharmacy and medical co-morbidity, social support and the cost of treatment. Finally, non-modifiable factors include patient gender and race. Importantly, non-modifiable factors may interact with modifiable factors to affect health behavioural intent (e.g. race and spiritual beliefs). Thus, adherence to depression treatment in older adults is associated with multiple factors. Strategies to improve patient adherence need to be multidimensional, including consideration of age-related cognitive and co-morbidity factors, environmental and social factors, functional status and belief systems. Evidence-based interventions involving greater patient, caregiver, provider and public health education should be developed to decrease stigma, negative attitudes and other modifiable barriers to detection, diagnosis, treatment and adherence to depression treatment. These interventions should also be tailored to the individual as well as to the treatment setting. While important progress has been made in increasing detection of depression in older adults, greater focus now needs to be placed on treatment engagement and continuation of improvements in quality of life, reducing suffering and achieving better outcomes.

摘要

近年来,老年人抑郁症的检测、诊断和治疗更为频繁。然而,有效治疗方面仍存在显著差距。坚持抑郁症治疗可被视为老年抑郁症治疗的“新前沿”。本文运用健康行为模型——理性行动理论,对当前与老年人抑郁症治疗依从性相关的关键患者层面因素的证据进行概念化梳理和综述。我们根据这些因素对依从性的影响可能如何受到专门治疗方法或干预措施的作用,将其分为:(i)可改变的;(ii)可能可改变的;(iii)不可改变的。基于现有证据,与抑郁症治疗依从性相关的可改变因素包括患者态度、信念和社会规范。患者态度包括对抑郁症治疗效果的认知、对抑郁症治疗类型的偏好以及对抑郁症病因的观念(例如抗拒将抑郁症视为一种疾病)。文献中也有证据表明,精神和宗教信仰可能是坚持抑郁症护理的重要决定因素。诸如护理人员对治疗建议的认同影响以及耻辱感等社会规范,也可能影响抑郁症治疗的依从性。其他因素本身可能较难改变,但它们对依从性的影响可能通过专门干预措施得以改变。基于对当前文献的综述,与抑郁症治疗依从性相关的可能可改变因素包括共病焦虑、物质使用、认知状态、多重用药和医疗共病、社会支持以及治疗费用。最后,不可改变因素包括患者性别和种族。重要的是,不可改变因素可能与可改变因素相互作用,从而影响健康行为意图(例如种族与精神信仰)。因此老年人对抑郁症治疗的依从性与多种因素相关。提高患者依从性的策略需要多维度,包括考虑与年龄相关的认知和共病因素、环境和社会因素、功能状态以及信仰体系。应制定基于证据的干预措施,加强患者、护理人员、医疗服务提供者和公众健康教育,以减少耻辱感、消极态度以及其他对抑郁症检测、诊断、治疗和坚持治疗的可改变障碍。这些干预措施还应根据个体情况以及治疗环境进行调整。虽然在提高老年人抑郁症检测率方面已取得重要进展,但现在需要更加关注治疗参与度以及持续改善生活质量、减轻痛苦并实现更好的治疗效果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验