OBJECTIVES: Prior authorization policies (PA) are widely used to control psychotropic medication costs by state Medicaid programs and Medicare Part D plans. The objective of this study was to examine the impact of a Maine Medicaid PA policy on initiation and switching of anticonvulsant and atypical antipsychotic treatments among patients with bipolar disorder. METHODS: We obtained Maine and New Hampshire (comparison state) Medicaid and Medicare claims data for 2001 to 2004; the Maine PA policy was implemented in July 2003. Among continuously enrolled patients with bipolar disorder (Maine: n = 5336; New Hampshire: n = 1376), we used an interrupted times series with comparison group design to estimate changes in rates of initiating new episodes of bipolar treatment and generalized estimating equations models to examine rates of switching therapies among patients under treatment. RESULTS: The Maine PA policy was associated with a marked decrease in rates of initiation of bipolar treatments; a relative reduction of 32.3% (95% CI: 24.8, 39.9) compared with expected rates at 4 months after policy implementation. This decrease was driven primarily by reductions in the initiation of nonpreferred agents. The policy had no discernable impact on rates of switching therapy among patients currently on treatment (RR: 1.03; 95% CI: 0.76, 1.39). CONCLUSIONS: The findings of this study provide evidence that PA implementation can be a barrier to initiation of nonpreferred agents without offsetting increases in initiation of preferred agents, which is a major concern. There is a critical need to evaluate the possible unintended effects of PA policies to achieve optimal health outcomes among low-income patients with chronic mental illness. In addition, more research is needed to understand how these barriers arise and whether specific seriously mentally ill populations or drug classes should be exempted from PA policies.
OBJECTIVES: Prior authorization policies (PA) are widely used to control psychotropic medication costs by state Medicaid programs and Medicare Part D plans. The objective of this study was to examine the impact of a Maine Medicaid PA policy on initiation and switching of anticonvulsant and atypical antipsychotic treatments among patients with bipolar disorder. METHODS: We obtained Maine and New Hampshire (comparison state) Medicaid and Medicare claims data for 2001 to 2004; the Maine PA policy was implemented in July 2003. Among continuously enrolled patients with bipolar disorder (Maine: n = 5336; New Hampshire: n = 1376), we used an interrupted times series with comparison group design to estimate changes in rates of initiating new episodes of bipolar treatment and generalized estimating equations models to examine rates of switching therapies among patients under treatment. RESULTS: The Maine PA policy was associated with a marked decrease in rates of initiation of bipolar treatments; a relative reduction of 32.3% (95% CI: 24.8, 39.9) compared with expected rates at 4 months after policy implementation. This decrease was driven primarily by reductions in the initiation of nonpreferred agents. The policy had no discernable impact on rates of switching therapy among patients currently on treatment (RR: 1.03; 95% CI: 0.76, 1.39). CONCLUSIONS: The findings of this study provide evidence that PA implementation can be a barrier to initiation of nonpreferred agents without offsetting increases in initiation of preferred agents, which is a major concern. There is a critical need to evaluate the possible unintended effects of PA policies to achieve optimal health outcomes among low-income patients with chronic mental illness. In addition, more research is needed to understand how these barriers arise and whether specific seriously mentally ill populations or drug classes should be exempted from PA policies.
Authors: William B Vogt; Geoffrey Joyce; Jing Xia; Riad Dirani; George Wan; Dana P Goldman Journal: Health Aff (Millwood) Date: 2011-12 Impact factor: 6.301
Authors: Christine Y Lu; Alyce S Adams; Dennis Ross-Degnan; Fang Zhang; Yuting Zhang; Carl Salzman; Stephen B Soumerai Journal: Psychiatr Serv Date: 2011-02 Impact factor: 3.084
Authors: Michael R Law; Christine Y Lu; Stephen B Soumerai; Amy Johnson Graves; Robert F LeCates; Fang Zhang; Dennis Ross-Degnan; Alyce S Adams Journal: Clin Ther Date: 2010-04 Impact factor: 3.393
Authors: Haiden A Huskamp; Marcela Horvitz-Lennon; Ernst R Berndt; Sharon-Lise T Normand; Julie M Donohue Journal: Psychiatr Serv Date: 2016-07-15 Impact factor: 3.084
Authors: Karen Hacker; Robert Penfold; Lisa N Arsenault; Fang Zhang; Stephen B Soumerai; Lawrence S Wissow Journal: Psychiatr Serv Date: 2016-09-01 Impact factor: 3.084
Authors: Marguerite E Burns; Alisa B Busch; Jeanne M Madden; Robert F Le Cates; Fang Zhang; Alyce S Adams; Dennis Ross-Degnan; Stephen B Soumerai; Haiden A Huskamp Journal: Psychiatr Serv Date: 2014-03-01 Impact factor: 3.084
Authors: Christine Y Lu; Fang Zhang; Matthew D Lakoma; Melissa G Butler; Vicki Fung; Emma K Larkin; Elyse O Kharbanda; William M Vollmer; Tracy Lieu; Stephen B Soumerai; Ann Chen Wu Journal: Clin Ther Date: 2015-04-25 Impact factor: 3.393
Authors: Dominic Hodgkin; Constance M Horgan; Timothy B Creedon; Elizabeth L Merrick; Maureen T Stewart Journal: J Ment Health Policy Econ Date: 2015-12