The impact of copayments on mental healthcare utilization: a natural experiment
Empirical evidence suggests that people are fairly sensitive to cost sharing arrangements in ambulatory mental healthcare. However, pure cost sharing effects are typically hard to measure due to the presence of adverse selection effects. In this paper, we examine the impact of cost sharing on mental healthcare utilization in the context of mandatory health insurance where adverse selection is absent. Using a large proprietary dataset of a Dutch private health insurer, we examine to what extent a new copay- ment scheme for adult mental healthcare changed health- care utilization. We exploit the fact that non-adults are exempted from copayments. First, we compare changes in utilization among adults and non-adults using t tests and a difference-in-difference analysis. Second, we highlight differential changes in mental healthcare utilization by treatment (duration and type of mental illness) and indi- vidual characteristics (gender and socioeconomic status). Third, we evaluate to what extent anticipatory behavior occurred pending the introduction and subsequent repeal of the new copayment scheme. Our results show a strong and significant (p \ 0.01) decrease in outpatient secondary mental healthcare utilization among adults following the introduction of copayments, which is absent among non- adults. This decrease is concentrated among treatments for less severe mental illnesses. Furthermore, the utilization patterns suggest the presence of anticipatory behavior.
|Keywords||Health insurance, Cost sharing, Copayments, Healthcare utilization, Mental healthcare, Natural experiment|
|JEL||Consumer Economics: Empirical Analysis (jel D12), Health Insurance, Public and Private (jel I13)|
|Persistent URL||dx.doi.org/10.1007/s10198-017-0921-7, hdl.handle.net/1765/100835|
|Journal||The European Journal of Health Economics|
Lambregts, T.R, & van Vliet, R.C.J.A. (2017). The impact of copayments on mental healthcare utilization: a natural experiment. The European Journal of Health Economics, 2017, 1–10. doi:10.1007/s10198-017-0921-7