Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2003-4-28
pubmed:abstractText
BACKGROUND: Medication treatment algorithms may improve clinical outcomes, uniformity of treatment, quality of care, and efficiency. However, such benefits have never been evaluated for patients with severe, persistent mental illnesses. This study compared clinical and economic outcomes of an algorithm-driven disease management program (ALGO) with treatment-as-usual (TAU) for adults with DSM-IV schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD) treated in public mental health outpatient clinics in Texas. DISCUSSION: The disorder-specific intervention ALGO included a consensually derived and feasibility-tested medication algorithm, a patient/family educational program, ongoing physician training and consultation, a uniform medical documentation system with routine assessment of symptoms and side effects at each clinic visit to guide ALGO implementation, and prompting by on-site clinical coordinators. A total of 19 clinics from 7 local authorities were matched by authority and urban status, such that 4 clinics each offered ALGO for only 1 disorder (SCZ, BD, or MDD). The remaining 7 TAU clinics offered no ALGO and thus served as controls (TAUnonALGO). To determine if ALGO for one disorder impacted care for another disorder within the same clinic ("culture effect"), additional TAU subjects were selected from 4 of the ALGO clinics offering ALGO for another disorder (TAUinALGO). Patient entry occurred over 13 months, beginning March 1998 and concluding with the final active patient visit in April 2000. Research outcomes assessed at baseline and periodically for at least 1 year included (1) symptoms, (2) functioning, (3) cognitive functioning (for SCZ), (4) medication side effects, (5) patient satisfaction, (6) physician satisfaction, (7) quality of life, (8) frequency of contacts with criminal justice and state welfare system, (9) mental health and medical service utilization and cost, and (10) alcohol and substance abuse and supplemental substance use information. Analyses were based on hierarchical linear models designed to test for initial changes and growth in differences between ALGO and TAU patients over time in this matched clinic design.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0160-6689
pubmed:author
pubmed:issnType
Print
pubmed:volume
64
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
357-69
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed-meshheading:12716235-Adolescent, pubmed-meshheading:12716235-Adult, pubmed-meshheading:12716235-Algorithms, pubmed-meshheading:12716235-Bipolar Disorder, pubmed-meshheading:12716235-Community Mental Health Centers, pubmed-meshheading:12716235-Depressive Disorder, pubmed-meshheading:12716235-Female, pubmed-meshheading:12716235-Health Care Costs, pubmed-meshheading:12716235-Health Services Research, pubmed-meshheading:12716235-Humans, pubmed-meshheading:12716235-Male, pubmed-meshheading:12716235-Mental Disorders, pubmed-meshheading:12716235-Outcome Assessment (Health Care), pubmed-meshheading:12716235-Practice Guidelines as Topic, pubmed-meshheading:12716235-Psychotropic Drugs, pubmed-meshheading:12716235-Quality of Health Care, pubmed-meshheading:12716235-Research Design, pubmed-meshheading:12716235-Schizophrenia, pubmed-meshheading:12716235-Texas, pubmed-meshheading:12716235-Treatment Outcome
pubmed:year
2003
pubmed:articleTitle
Texas Medication Algorithm Project, phase 3 (TMAP-3): rationale and study design.
pubmed:affiliation
Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, 75390-9086, USA. john.rush@utsouthwestern.edu
pubmed:publicationType
Journal Article, Clinical Trial, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't, Multicenter Study