Literature DB >> 16299434

Managed care and systems cost-effectiveness: treatment for depression.

Margarita Alegría1, Richard Frank, Thomas McGuire.   

Abstract

OBJECTIVE: The objective of this study was to assess the change in system cost-effectiveness of depression treatment after the introduction of managed care. DATA SOURCES/STUDY
SETTING: The study population consisted of adults ages 18 to 69 living in low-income areas of Puerto Rico. STUDY
DESIGN: Using a random probability sample of the population, 2 waves (1992-1993, 1993-1994) of data were collected before implementation of managed care and one wave (1996-1998) after implementation. Composite International Diagnostic Interview (CIDI)-generated depression diagnoses and Centers for Epidemiologic Studies-Depression (CES-D) scale of depressive symptoms scales were used to assess depression. DATA COLLECTION/EXTRACTION
METHODS: Effectiveness of treatment was defined by guideline standards and experts' assessment of the probability of remission resulting from treatment. Costs were measured by assigning representative prices to each treatment modality. Difference-in-difference (D-in-D) estimators were used to assess the impact of managed care on the effectiveness and costs of treating depression at the system level for the entire population. PRINCIPAL
FINDINGS: System cost-effectiveness improved slightly after the introduction of managed care, with diminished costs but no significant improvements in effectiveness.
CONCLUSION: Cost-effectiveness can be measured at the population level to assess system changes. Additional incentives and system realignments beyond utilization review and diminished treatment costs are necessary to attain a more cost-effective system of care.

Entities:  

Mesh:

Year:  2005        PMID: 16299434     DOI: 10.1097/01.mlr.0000185735.44067.42

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  5 in total

1.  Retention in depression treatment among ethnic and racial minority groups in the United States.

Authors:  Lisa R Fortuna; Margarita Alegria; Shan Gao
Journal:  Depress Anxiety       Date:  2010-05       Impact factor: 6.505

2.  Evaluating health care programs by combining cost with quality of life measures: a case study comparing capitation and fee for service.

Authors:  Richard Grieve; Jasjeet S Sekhon; Teh-Wei Hu; Joan R Bloom
Journal:  Health Serv Res       Date:  2008-03-17       Impact factor: 3.402

3.  Population-level cost-effectiveness of implementing evidence-based practices into routine care.

Authors:  John C Fortney; Jeffrey M Pyne; James F Burgess
Journal:  Health Serv Res       Date:  2014-10-18       Impact factor: 3.402

Review 4.  Do productivity costs matter?: the impact of including productivity costs on the incremental costs of interventions targeted at depressive disorders.

Authors:  Marieke Krol; Jocé Papenburg; Marc Koopmanschap; Werner Brouwer
Journal:  Pharmacoeconomics       Date:  2011-07       Impact factor: 4.981

5.  Disparity in depression treatment among racial and ethnic minority populations in the United States.

Authors:  Margarita Alegría; Pinka Chatterji; Kenneth Wells; Zhun Cao; Chih-nan Chen; David Takeuchi; James Jackson; Xiao-Li Meng
Journal:  Psychiatr Serv       Date:  2008-11       Impact factor: 4.157

  5 in total

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