Mental health parity legislation: much ado about nothing?
OBJECTIVE
To determine whether state-level parity legislation has led to an increase in utilization of mental health services.


METHODS
Healthcare For Communities (HCC), a multi-site nationally representative study sponsored by the Robert Wood Johnson Foundation that tracks health care system changes for mental health and substance abuse treatment. Information on state-level parity legislation was provided by state offices of the National Alliance for the Mentally Ill (NAMI); local and state market data come from the Area Resource File; information on other health mandates from Blue Cross/Blue Shield.


METHODS
Two-stage regressions are used to estimate the effect of state parity legislation on use of any mental health services, use of specialty mental health services, and number of specialty visits in the past year. In the first stage, we predicted the probability that a state decides to pass parity legislation as a function of state health care market indicators and previous legislative activity. The fitted probability is used in the second stage to determine the effect of this legislation on access and utilization.


RESULTS
State parity legislation is not associated with a significant increase in any of our measures of mental health services utilization. These results are robust to various specifications of the models.


CONCLUSIONS
Those states that are able to pass parity legislation do not experience significant increases in the utilization of mental health services. This may be due in part to a loss of coverage for those people most at risk for mental health disorders. The results could be very different, however, if strong federal legislation were passed.
Pacula
R L
RL
RAND, Santa Monica, CA 90401, USA.
Sturm
R
R
D006291:Health Policy; D006302:Health Services Research / Q000379:methods / Q000706:statistics & numerical data; D006801:Humans; D007358:Insurance, Psychiatric / Q000331:legislation & jurisprudence* / Q000706:statistics & numerical data; D016015:Logistic Models; D008605:Mental Health Services / Q000331:legislation & jurisprudence* / Q000706:statistics & numerical data; D011336:Probability; D014481:United States