Translating Behavioral Health Services Research into Benefits Policy  

Oleh:

Grazier, Kyle L. ; Pollack, Harold

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Medical Care Research and Review vol. 57 no. 2 (Dec. 2000), page 53-71.
Topik: logistic regression; health services
Fulltext: 53MCR57.2.pdf (79.51KB)

Isi artikel

This article uses a 4-pronged statistical approach to examine the impact of a mental health carve-out at a major employer. To examine net financial impact of the carve-out, the authors perform a pre-post, multivariate regression analysis of changes in costs. Using a random-effects model, the authors explore the ultimate financial impact of the carve-out for patients and for the firm. Using a multinomial logistic regression, they examine differing program effects by intensity of use. A fixed-effects negative binomial regression models the episodic nature of outpatient care, controlling for patient-specific unobserved characteristics that influence health care utilization. The carve-out slightly reduced overall mental health costs and utilization while expanding entry-level access to routine services. At the same time, the specific carve-out shifted financial burdens from the firm onto high-utilization patients. Therefore, this carve-out appears poorly suited to the care of individuals experiencing severe and debilitating psychiatric disorders.

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