Fisher L, Weihs K L
Department of Family and Community Medicine, University of California, San Francisco, 94143, USA.
J Fam Pract. 2000 Jun;49(6):561-6.
The management of patients with chronic disease constitutes the largest single cost to the health care system in the United States. New approaches and methods are needed to reduce preventable complications and to enhance the health and well-being of patients with chronic disease and their families. Interventions that target the family setting in which disease management takes place have emerged as an alternative to traditional strategies that focus only on the individual patient or that consider the family only as a peripheral source of positive or negative social support. In this approach, the educational, relational, and personal needs of all family members are emphasized. Data reviewed by the National Working Group on Family-Based Interventions in Chronic Disease identified potential mechanisms by which the relational context of the family affects disease management and how characteristics of family relationships serve as risk or protective factors. In this paper we describe the major forms of family-based interventions, review the results of selected clinical trials, and present applications for clinical practice. The data suggest that approaches to the management of chronic disease should be expanded to include the broader relational context in which disease management takes place. Although it adds complexity to clinical intervention, this approach increases clinical flexibility, addresses the important players in disease management, and accounts for a significant number of risk and protective factors that affect outcome.
慢性病患者的管理是美国医疗保健系统最大的单项成本。需要新的方法来减少可预防的并发症,并提高慢性病患者及其家人的健康水平和幸福感。针对疾病管理发生的家庭环境的干预措施已成为传统策略的替代方案,传统策略仅关注个体患者,或将家庭仅视为积极或消极社会支持的外围来源。在这种方法中,强调了所有家庭成员的教育、关系和个人需求。慢性病家庭干预全国工作组审查的数据确定了家庭关系背景影响疾病管理的潜在机制,以及家庭关系特征如何作为风险或保护因素。在本文中,我们描述了基于家庭的干预措施的主要形式,回顾了选定临床试验的结果,并介绍了临床实践中的应用。数据表明,慢性病管理方法应扩大到包括疾病管理发生的更广泛的关系背景。尽管这增加了临床干预的复杂性,但这种方法增加了临床灵活性,涉及疾病管理中的重要参与者,并考虑了大量影响结果的风险和保护因素。