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The Complementarity of Drug Monitoring Programs and Health It for Reducing Opioid-Related Mortality and Morbidity

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Wang,  Lucy Xiaolu
MPI for Innovation and Competition, Max Planck Society;

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Citation

Wang, L. X. (2021). The Complementarity of Drug Monitoring Programs and Health It for Reducing Opioid-Related Mortality and Morbidity. Health Economics, 30(9), 2026-2046. doi:10.1002/hec.4360.


Cite as: https://hdl.handle.net/21.11116/0000-000E-52BE-0
Abstract
In response to the opioid crisis, each US state has implemented a prescription drug monitoring program (PDMP) to collect data on controlled substances prescribed and dispensed in the state. I study whether health information technology (HIT) complements patient prescription data in PDMPs to reduce opioid-related mortality and morbidity. A novel dataset is constructed that records state policies that integrate PDMP with HIT and facilitate interstate data sharing. Using difference-in-differences models, I find that PDMP-HIT integration policies reduce opioid-related inpatient morbidity. The reductions are substantial in states that established integration without ever mandating the use of a PDMP. A mechanism test suggests that PDMP integration works mainly through the hospital system while a mandate affects legal opioids prescription. The impacts from integration are strongest for the vulnerable groups—middle-aged, low-to middle-income patients, and those with public insurance. There is suggestive evidence that interstate data sharing further complements integration despite not having a significant impact independently. The results are robust to a set of tests using alternative specifications and measures. The total benefits from integration far exceed the associated costs.