Richard Grieve1, Jasjeet S Sekhon, Teh-Wei Hu, Joan R Bloom. 1. Department of Public Health and Policy, London School of Hygiene and Tropical Medicine, Keppel St., London WC1E7HT, UK. Richard.Grieve@lshtm.ac.ok
Abstract
OBJECTIVE: To demonstrate cost-effectiveness analysis (CEA) for evaluating different reimbursement models. DATA SOURCES/STUDY SETTING: The CEA used an observational study comparing fee for service (FFS) versus capitation for Medicaid cases with severe mental illness (n=522). Under capitation, services were provided either directly (direct capitation [DC]) by not-for-profit community mental health centers (CMHC), or in a joint venture between CMHCs and a for-profit managed behavioral health organization (MBHO). STUDY DESIGN: A nonparametric matching method (genetic matching) was used to identify those cases that minimized baseline differences across the groups. Quality-adjusted life years (QALYs) were reported for each group. Incremental QALYs were valued at different thresholds for a QALY gained, and combined with cost estimates to plot cost-effectiveness acceptability curves. PRINCIPAL FINDINGS: QALYs were similar across reimbursement models. Compared with FFS, the MBHO model had incremental costs of -$1,991 and the probability that this model was cost-effective exceeded 0.90. The DC model had incremental costs of $4,694; the probability that this model was cost-effective compared with FFS was <0.10. CONCLUSIONS: A capitation model with a for-profit element was more cost-effective for Medicaid patients with severe mental illness than not-for-profit capitation or FFS models.
OBJECTIVE: To demonstrate cost-effectiveness analysis (CEA) for evaluating different reimbursement models. DATA SOURCES/STUDY SETTING: The CEA used an observational study comparing fee for service (FFS) versus capitation for Medicaid cases with severe mental illness (n=522). Under capitation, services were provided either directly (direct capitation [DC]) by not-for-profit community mental health centers (CMHC), or in a joint venture between CMHCs and a for-profit managed behavioral health organization (MBHO). STUDY DESIGN: A nonparametric matching method (genetic matching) was used to identify those cases that minimized baseline differences across the groups. Quality-adjusted life years (QALYs) were reported for each group. Incremental QALYs were valued at different thresholds for a QALY gained, and combined with cost estimates to plot cost-effectiveness acceptability curves. PRINCIPAL FINDINGS: QALYs were similar across reimbursement models. Compared with FFS, the MBHO model had incremental costs of -$1,991 and the probability that this model was cost-effective exceeded 0.90. The DC model had incremental costs of $4,694; the probability that this model was cost-effective compared with FFS was <0.10. CONCLUSIONS: A capitation model with a for-profit element was more cost-effective for Medicaid patients with severe mental illness than not-for-profit capitation or FFS models.
Authors: Ceara Tess Cunningham; Nathalie Jetté; Bing Li; Ravneet Robyn Dhanoa; Brenda Hemmelgarn; Tom Noseworthy; Cynthia A Beck; Elijah Dixon; Susan Samuel; William A Ghali; Carolyn DeCoster; Hude Quan Journal: CMAJ Open Date: 2015-10-02
Authors: M Zia Sadique; Richard Grieve; David A Harrison; Brian H Cuthbertson; Kathryn M Rowan Journal: Crit Care Date: 2011-09-26 Impact factor: 9.097
Authors: Catherine M Smith; Hannah Fry; Charlotte Anderson; Helen Maguire; Andrew C Hayward Journal: Int J Health Geogr Date: 2017-04-21 Impact factor: 3.918