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The complementarity of drug monitoring programs and health IT for reducing opioid‐related mortality and morbidity
Author(s) -
Wang Lucy Xiaolu
Publication year - 2021
Publication title -
health economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.55
H-Index - 109
eISSN - 1099-1050
pISSN - 1057-9230
DOI - 10.1002/hec.4360
Subject(s) - mandate , medical prescription , data sharing , medicine , complementarity (molecular biology) , prescription drug , business , actuarial science , public economics , pharmacology , economics , alternative medicine , political science , pathology , biology , law , genetics
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.