Division of Health Services and Psychiatric Epidemiology, University of Washington Medical School, 1959 NE Pacific St, Box 356560, Seattle, WA 98195, USA.
Am J Manag Care. 2009 Dec;15(11 Suppl):S322-7.
Until recently, the negative effect that major depressive disorder (MDD) has on interpersonal and workplace functioning had not been widely studied. Traditionally, the goals for treating MDD have also not focused on the commonly associated increases in healthcare utilization for somatic symptoms (ie, headache, abdominal pain) and poorly controlled comorbid medical illnesses, which lead to higher healthcare costs. This article reviews the extensive data collected during the past 10 years that have quantified the impact that MDD has on these outcomes, suggesting that patients with MDD have significant decrements in function, particularly those with comorbid general medical conditions. Also reviewed is the literature presenting evidence from randomized trials of systematic and collaborative treatment efforts that optimize treatment response and, in turn, decrease interpersonal disability, long-term healthcare costs, and the costs associated with lost productivity and absenteeism in the workplace. Such treatment models include algorithmically derived treatment alternatives and collaborative care models, which use a team approach to ensure treatment adherence and to monitor symptom response and side effects. The benefits of using disability assessment measures in conjunction with routine monitoring of depressive symptoms are also discussed.
直到最近,重度抑郁症 (MDD) 对人际关系和工作场所功能的负面影响还没有得到广泛研究。传统上,治疗 MDD 的目标也不侧重于与躯体症状(如头痛、腹痛)和控制不佳的合并医疗疾病相关的常见医疗利用率增加,这会导致更高的医疗成本。本文回顾了过去 10 年收集的大量数据,这些数据量化了 MDD 对这些结果的影响,表明 MDD 患者的功能明显下降,特别是那些合并一般医疗条件的患者。本文还回顾了随机试验的文献,这些试验提供了系统和协作治疗努力的证据,这些努力可以优化治疗反应,从而减少人际关系障碍、长期医疗成本以及与工作场所生产力下降和旷工相关的成本。此类治疗模式包括基于算法的治疗替代方案和协作式护理模式,这些模式采用团队方法来确保治疗依从性,并监测症状反应和副作用。还讨论了结合常规监测抑郁症状使用残疾评估措施的好处。