Crits-Christoph Paul, Gallop Robert, Diehl Caroline K, Yin Seohyun, Gibbons Mary Beth Connolly
Department of Psychiatry, University of Pennsylvania, Room 650, 3535 Market Street, Philadelphia, PA, 19104, USA.
Department of Mathematics, West Chester University, West Chester, USA.
Adm Policy Ment Health. 2017 Sep;44(5):735-746. doi: 10.1007/s10488-016-0746-1.
We developed three methods (rating, ranking, and discrete choice) for identifying patients' preferred depression treatments based on their prioritization of specific treatment attributes (e.g., medication side effects, psychotherapy characteristics) at treatment intake. Community mental health patients with depressive symptoms participated in separate studies of predictive validity (N = 193) and short-term (1-week) stability (N = 40). Patients who received non-preferred initial treatments (based on the choice method) switched treatments significantly more often than those who received preferred initial treatments. Receiving a non-preferred treatment at any point (based on rating and choice methods) was a significant predictor of longer treatment duration. All three methods demonstrated good short-term stability.
我们开发了三种方法(评分法、排序法和离散选择法),用于根据患者在治疗开始时对特定治疗属性(如药物副作用、心理治疗特点)的优先排序来确定其首选的抑郁症治疗方法。有抑郁症状的社区心理健康患者参与了预测效度(N = 193)和短期(1周)稳定性(N = 40)的单独研究。接受非首选初始治疗(基于选择法)的患者比接受首选初始治疗的患者更频繁地更换治疗方法。在任何时间点接受非首选治疗(基于评分法和选择法)是治疗持续时间较长的一个重要预测因素。所有三种方法都显示出良好的短期稳定性。