Trivedi Madhukar H, Rush A John, Crismon M Lynn, Kashner T Michael, Toprac Marcia G, Carmody Thomas J, Key Tracie, Biggs Melanie M, Shores-Wilson Kathy, Witte Bradley, Suppes Trisha, Miller Alexander L, Altshuler Kenneth Z, Shon Steven P
Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, 75235, USA.
Arch Gen Psychiatry. 2004 Jul;61(7):669-80. doi: 10.1001/archpsyc.61.7.669.
The Texas Medication Algorithm Project is an evaluation of an algorithm-based disease management program for the treatment of the self-declared persistently and seriously mentally ill in the public mental health sector.
To present clinical outcomes for patients with major depressive disorder (MDD) during 12-month algorithm-guided treatment (ALGO) compared with treatment as usual (TAU).
Effectiveness, intent-to-treat, prospective trial comparing patient outcomes in clinics offering ALGO with matched clinics offering TAU.
Four ALGO clinics, 6 TAU clinics, and 4 clinics that offer TAU to patients with MDD but provide ALGO for schizophrenia or bipolar disorder. Patients Male and female outpatients with a clinical diagnosis of MDD (psychotic or nonpsychotic) were divided into ALGO and TAU groups. The ALGO group included patients who required an antidepressant medication change or were starting antidepressant therapy. The TAU group initially met the same criteria, but because medication changes were made less frequently in the TAU group, patients were also recruited if their Brief Psychiatric Rating Scale total score was higher than the median for that clinic's routine quarterly evaluation of each patient.
Primary outcomes included (1) symptoms measured by the 30-item Inventory of Depressive Symptomatology-Clinician-Rated scale (IDS-C(30)) and (2) function measured by the Mental Health Summary score of the Medical Outcomes Study 12-item Short-Form Health Survey (SF-12) obtained every 3 months. A secondary outcome was the 30-item Inventory of Depressive Symptomatology-Self-Report scale (IDS-SR(30)).
All patients improved during the study (P<.001), but ALGO patients had significantly greater symptom reduction on both the IDS-C(30) and IDS-SR(30) compared with TAU. ALGO was also associated with significantly greater improvement in the SF-12 mental health score (P =.046) than TAU.
The ALGO intervention package during 1 year was superior to TAU for patients with MDD based on clinician-rated and self-reported symptoms and overall mental functioning.
德克萨斯药物算法项目是对公共精神卫生部门中一种基于算法的疾病管理项目的评估,该项目用于治疗自我宣称患有持续性严重精神疾病的患者。
呈现重度抑郁症(MDD)患者在为期12个月的算法指导治疗(ALGO)期间与常规治疗(TAU)相比的临床结果。
一项有效性、意向性治疗的前瞻性试验,比较提供ALGO的诊所与提供TAU的匹配诊所中的患者结果。
四个ALGO诊所、六个TAU诊所,以及四个为MDD患者提供TAU但为精神分裂症或双相情感障碍患者提供ALGO的诊所。患者 临床诊断为MDD(有精神病性症状或无精神病性症状)的男性和女性门诊患者被分为ALGO组和TAU组。ALGO组包括需要改变抗抑郁药物或开始抗抑郁治疗的患者。TAU组最初符合相同标准,但由于TAU组较少进行药物改变,所以如果患者的简明精神病评定量表总分高于该诊所对每位患者进行的常规季度评估的中位数,也会被纳入。
主要结局包括(1)通过30项抑郁症状量表-临床医生评定版(IDS-C(30))测量的症状,以及(2)通过每3个月获取一次的医学结局研究12项简短健康调查(SF-12)的心理健康总结评分测量的功能。次要结局是30项抑郁症状量表-自我报告版(IDS-SR(30))。
所有患者在研究期间均有改善(P<.001),但与TAU相比,ALGO组患者在IDS-C(30)和IDS-SR(30)上的症状减轻更为显著。与TAU相比,ALGO还与SF-12心理健康评分的显著更大改善相关(P =.046)。
基于临床医生评定和自我报告的症状以及整体心理功能,为期1年的ALGO干预方案对MDD患者优于TAU。