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Computerized Decision Support System for Depression

Computerized Decision Support System for Depression
抑郁症计算机化决策支持系统
批准号:
7189122
负责人:
MADHUKAR H. TRIVEDI
金额:
$60.54万
依托单位国家:
美国
项目类别:
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-05-12 至 2009-02-28
关键词:
Accident and Emergency departmentAcuteAddressAdherenceAdverse effectsAdvisory CommitteesAdvocateAlgorithmsAmerican Medical AssociationAppendixAreaAssimilationsBehaviorBipolar DisorderCaringClinicClinicalClinical effectivenessCommunitiesComputer AssistedComputersConsensusConsultConsultationsCoupledCriminal JusticeDataDatabasesDay CareDecision MakingDecision Support SystemsDecision TreesDevelopmentDirect CostsDisease ManagementDoseEducational workshopEffectivenessEmploymentEnrollmentEnsureEvaluationFaceFacilities and Administrative CostsFamilyFamily CaregiverFoundationsFutureGuidelinesHandHealth Care CostsHealthcareHouseholdHuman ResourcesInformaticsInformation SystemsInpatientsInterventionInvestmentsJournalsKnowledgeLanguageLeadMaintenanceMajor Depressive DisorderManualsMeasuresMedicalMedication ManagementMedicineMental DepressionMental HealthModelingOutcomeOutcome MeasureOutcomes ResearchOutpatient Clinics, HospitalOutpatientsPaperParticipantPatient CarePatientsPerformancePharmaceutical PreparationsPhasePhysiciansPopulationProceduresProcess MeasureProductionProductivityProviderPsychiatric HospitalsPsychiatristPublic HealthPublic SectorQuality of CareQuality of lifeRandomizedRangeRecommendationRecording of previous eventsRehabilitation therapyResearchRiskSchizophreniaServicesSeveritiesSiteSocial WelfareSolutionsSupport SystemSymptomsSyndromeSystemTestingTexasTimeTrainingTranslatingTreatment outcomeUnemploymentUnited States Agency for Healthcare Research and QualityWorkaddictionbaseblindcare giving burdenclinical research sitecomputerizedcostcost effectivenessdesigndosagefield studyhealth care deliveryimprovedinnovationmedical specialtiesnew technologypatient home careprogramspsychosocialsuccesstool

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DESCRIPTION (provided by applicant): This study proposes to test the clinical effectiveness of a Computerized Decision Support System for Depression (CDSS-D) in improving treatment outcomes for patients with a major depressive disorder (MDD). The Texas Medication Algorithm Project (TMAP) MDD algorithm provides the framework for the clinical content in the CDSS-D. The algorithm is an evidence-based algorithm that was developed by an expert consensus panel that included national experts in depression, local physicians, consumers and advocates. The CDSS-D is designed to ensure a high degree of adherence to a well-developed pharmacological algorithm for the treatment of MDD in the public health sector. After the initial database and rules engine for the CDSS-D application were developed, reliability testing was conducted. The last phase of testing involved psychiatrists using the CDSS-D program in two public mental health clinics. The field study demonstrated feasibility and acceptability of the CDSS-D. The proposed study will entail implementation at three mental health facilities (Bluebonnet Trails Community MHMR Center, Parkland Memorial Hospital Outpatient Clinic, and Texas Panhandle MHMR Center) in order to assess the effectiveness of the CDSS-D system. Psychiatrists will be randomized either to the computerized algorithm (CDSS-D), the paper and pencil algorithm for the treatment of depression (PPA-D), or Usual Care for Depression (UC-D). Physicians randomized to an algorithm treatment group will attend an additional workshop on the implementation of treatment algorithms, and they will be trained in the use of either the computerized algorithm platform or the use of a paper-pencil version of the algorithm. A total of 540 participants will be enrolled into the study who have major depressive disorder and are either entering treatment or are requiring a change in their treatment. The patient outcomes in the CDSS-D, PPA-D, and UC-D will be evaluated in terms of clinical symptoms, function, and quality of life (aim 1) assessed by an evaluator, blind to treatment assignment, every 3 months for a total of 12 months. The primary aims of the study are to: 1) assess the of CDSS-D implementation in terms of patient outcomes (reduction of symptoms, changes in level of functioning, and quality of life measures); 2) conduct an assessment of cost and utilization of the CDSS-D in a the public mental health sector; 3) directly assess the extent that the CDSS-D influences physician behavior; and 4) To compare the difference in patient outcomes with the difference in cost in the CDSS-D. Comparisons will be made between CDSS-D, PPA-D, and UC-D.
期刊论文(5)
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会议论文
Barriers to implementation of a computerized decision support system for depression: an observational report on lessons learned in "real world" clinical settings.
实施抑郁症计算机决策支持系统的障碍:关于“现实世界”临床环境中吸取的经验教训的观察报告。
DOI: 10.1186/1472-6947-9-6
发表时间: 2009
期刊: BMC medical informatics and decision making
影响因子: 3.5
作者: [Trivedi,MadhukarH, Daly,EllaJ, Kern,JanetK, Grannemann,BruceD, Sunderajan,Prabha, Claassen,CynthiaA]
通讯作者: Claassen,CynthiaA
DOI: 10.1016/j.cct.2008.08.001
发表时间: 2009-01
期刊: Contemporary clinical trials
影响因子: 2.2
作者: [Claassen C, Kurian B, Trivedi MH, Grannemann BD, Tuli E, Pipes R, Preston AM, Flood A]
通讯作者: Flood A
DOI: 10.1097/yic.0b013e32833eb5ee
发表时间: 2010-11
期刊: International clinical psychopharmacology
影响因子: 2.6
作者: [Nakonezny PA, Carmody TJ, Morris DW, Kurian BT, Trivedi MH]
通讯作者: Trivedi MH
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  • 财政年份:
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海外基金