A Computerized Decision Support System for Depression in Primary Care

Kurian, Benji T.; Trivedi, Madhukar H.; Grannemann, Bruce D.; Claassen, Cynthia A.; Daly, Ella; Sunderajan, Prabha

doi:10.4088/pcc.08m00687

Cited by 44 publications

(82 citation statements)

References 38 publications

(57 reference statements)

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“…[30][31][32] These initiatives and others have considered the promising role of clinical decision support systems (CDSSs) in improving depression screening and management. 33,34 For example, a small trial compared symptom reduction in patients treated by physicians using a clinical decision support system based upon the Texas Medication Algorithm Project as compared to usual care. 34 Another study examined whether feedback and treatment advice for depression presented to primary care physicians via an electronic health record improved clinical outcomes and care processes for patients with major depression.…”

Section: Introductionmentioning

confidence: 99%

“…33,34 For example, a small trial compared symptom reduction in patients treated by physicians using a clinical decision support system based upon the Texas Medication Algorithm Project as compared to usual care. 34 Another study examined whether feedback and treatment advice for depression presented to primary care physicians via an electronic health record improved clinical outcomes and care processes for patients with major depression. 35 Finally, a British study compared the effectiveness of case-finding followed by computer-generated, patient-specific guidelines with usual care for the management of common mental disorders in primary care.…”

Section: Introductionmentioning

confidence: 99%

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Predictors of Depression Screening Rates of Nurses Receiving a Personal Digital Assistant-based Reminder to Screen

et al. 2010

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The purpose of this study was to determine if race/ethnicity, payer type, or nursing specialty affected depression screening rates in primary care settings in which nurses received a reminder to screen. The sample comprised 4,160 encounters in which nurses enrolled in advanced practice training were prompted to screen for depression using the Patient Health Questionnaire (PHQ)-2/PHQ-9 integrated into a personal digital assistant-based clinical decision support system for depression screening and management. Nurses chose to screen in response to 52.5% of reminders. Adjusted odds ratios showed that payer type and nurse specialty, but not race/ethnicity, significantly predicted proportion of patients screened.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predictors of Depression Screening Rates of Nurses Receiving a Personal Digital Assistant-based Reminder to Screen

et al. 2010

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“…The integration of ADM MBC computer decision support systems has been shown to be a successful method of delivery; however, the adoption of these systems has been slow. The most successful implementations of computerized treatment algorithms have come in settings already utilizing computer systems (electronic medical records, computerized physician orders) in clinical practice [46][47][48][49][50]. As research and technology progress, new solutions in the form of Web-based ADM MBC support systems are being evaluated.…”

Section: Future Directionsmentioning

confidence: 99%

Measurement-Based Care for Unipolar Depression

Morris

Trivedi

2011

Curr Psychiatry Rep

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This article outlines the role of measurement-based care in the management of antidepressant treatment for patients with unipolar depression. Using measurement-based care, clinicians and researchers have the opportunity to optimize individual treatment and obtain maximum antidepressant treatment response. Measurement-based care breaks down to several simple components: antidepressant dosage, depressive symptom severity, medication tolerability, adherence to treatment, and safety. Quick and easy-to-use, empirically validated assessments are available to monitor these areas of treatment. Utilizing measurement-based care has several steps-screening and antidepressant selection based upon treatment history, followed by assessment-based medication management and ongoing care. Electronic measurement-based care systems have been developed and implemented, further reducing the burden on patients and clinicians. As more treatment providers adopt electronic health care management systems, compatible measurement-based care antidepressant treatment delivery and monitoring systems may become increasingly utilized.

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“…Además, en otro de los estudios los profesionales indicaron que la herramienta fue fácil de usar y manifestaron preferir esta opción al tratamiento habitual 31 . El único trabajo de diseño cualitativo identificado investigó las percepciones de clínicos y pacientes sobre un SADC para el cribado electrónico de depresión tras un accidente cerebrovascular.…”

Section: Aceptabilidad Satisfacción Y Perspectivas De Los Pacientes unclassified

Desarrollo e impacto de los sistemas informatizados de apoyo a las decisiones en el manejo clínico de la depresión: revisión sistemática

Triñanes

Atienza

González

et al. 2015

Revista de Psiquiatría y Salud Mental

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A Computerized Decision Support System for Depression in Primary Care

Cited by 44 publications

References 38 publications

Predictors of Depression Screening Rates of Nurses Receiving a Personal Digital Assistant-based Reminder to Screen

Predictors of Depression Screening Rates of Nurses Receiving a Personal Digital Assistant-based Reminder to Screen

Measurement-Based Care for Unipolar Depression

Desarrollo e impacto de los sistemas informatizados de apoyo a las decisiones en el manejo clínico de la depresión: revisión sistemática

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