Becker M H, Maiman L A
Med Care. 1975 Jan;13(1):10-24. doi: 10.1097/00005650-197501000-00002.
Over the past two decades, hundreds of articles, editorials, and commentaries have been published describing the considerable disruptive effects on quality of care of individuals noncompliance with health and medical advice. While much research has been directed at determining factors responsible for poor compliance, past studies have tended to focus upon easily measured characteristics of the patients, regimen, or illness which, unfortunately, are usually neither predictive nor alterable. This paper systematically reviews the literature on patient acceptance of recommended health behaviors, attempting to find social-psychological and related variables which have proven to be consistent predictors of compliance. The review suggests that certain health beliefs (especailly personal estimates of vulnerability to, and seriousness of, the disease, and faith in the efficacy of care), health-related motivations, perceptions of psychological and other costs of the recommended action, various aspects of the doctor-patient relationship, and social influence are the most productive dimensions for present intervention and further exploration. Building upon an earlier formulation, an hypothesized model is presented which combines these elements for explaining and predicting compliance behavior. Further research should, with standardized questionnaires and analysis techniques, employ prospective, experimental designs for a variety of population groups, settings, and regimens, to evaluate the ability of practical attempts to modify the model variables and thus enhance compliance.
在过去二十年里,已有数百篇文章、社论和评论发表,描述了个人不遵守健康和医疗建议对医疗质量造成的相当大的破坏影响。虽然许多研究致力于确定导致依从性差的因素,但过去的研究往往侧重于患者、治疗方案或疾病的易于测量的特征,不幸的是,这些特征通常既不能预测也无法改变。本文系统地回顾了关于患者对推荐健康行为接受度的文献,试图找出已被证明是依从性一致预测因素的社会心理及相关变量。该综述表明,某些健康信念(特别是对疾病易感性和严重性的个人估计,以及对治疗效果的信心)、与健康相关的动机、对推荐行动的心理及其他成本的认知、医患关系的各个方面以及社会影响,是目前干预和进一步探索最有成效的维度。在早期表述的基础上,提出了一个假设模型,该模型将这些要素结合起来以解释和预测依从行为。未来的研究应该使用标准化问卷和分析技术,针对各种人群、环境和治疗方案采用前瞻性实验设计,以评估实际尝试改变模型变量从而提高依从性的能力。