Context: 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.
Objective: To present clinical outcomes for patients with major depressive disorder (MDD) during 12-month algorithm-guided treatment (ALGO) compared with treatment as usual (TAU).
Design: Effectiveness, intent-to-treat, prospective trial comparing patient outcomes in clinics offering ALGO with matched clinics offering TAU.
Setting: 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.
Main Outcome Measures: 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)).
Results: 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.
Conclusion: 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.
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http://dx.doi.org/10.1001/archpsyc.61.7.669 | DOI Listing |
Front Biosci (Landmark Ed)
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Department of Hepatobiliary and Pancreatic Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, 030032 Taiyuan, Shanxi, China.
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January 2025
Department of Psychology, The Affiliated Hospital of Jiangnan University, 214151 Wuxi, Jiangsu, China.
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Methods: Participants included 33 schizophrenia patients and 35 healthy controls (HCs).
Viruses
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Laboratory of Gastroenteric Virus, Virology Section, Evandro Chagas Institute, Secretariat of Health Surveillance and Environment, Brazilian Ministry of Health, Ananindeua 67.030-000, Pará, Brazil.
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Chantal BIYA International Reference Centre for Research on HIV/AIDS Prevention and Management, Yaoundé P.O. Box 3077, Cameroon.
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Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.
The effects of a concomitant infection of hepatitis B virus (HBV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are still debated, with a recognized major risk of HBV reactivation during immune-suppressive treatments. The aim of this study was to determine the prevalence and predictive factors of HBV reactivation in a cohort of hospitalized patients with coronavirus disease 2019 (COVID-19) and a current or past hepatitis B infection. In a monocentric retrospective observational study, we enrolled all consecutive hospital admitted patients with COVID-19 pneumonia and a positive HBV serology (N = 84) in our Infectious Diseases Unit from April 2021 to December 2023.
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