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States, which have the primary legal role in regulating the prescribing and dispensing of prescription medications, have created Prescription Drug Monitoring Programs (PDMP) to try to reduce inappropriate prescribing, dispensing, and related harm. Research assessing whether these interventions are effective has produced inconclusive and contradictory results. Here we examine whether different data sources may have contributed to the varying results. Specifically, we: 1) identify the decisions inherent in creating such a dataset; 2) discuss the public data sources used by researchers in previous work; 3) develop and apply a detailed research protocol to create a novel PDMP law dataset; and 4) to illustrate potential consequences of data choice, apply various data sources to analyze the relationship between PDMP laws and prescribing and dispensing of opioids among disabled Medicare beneficiaries. We find that our dates differ from those in existing datasets, sometimes by many years. The regression analyses generated a twofold difference in point estimates, as well as different signed estimates, depending on the data used. We conclude that the lack of transparency about data assembly in existing datasets, differences among dates by source, and the regression results raise concerns for PDMP researchers and policymakers.
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States, which have the primary legal role in regulating the prescribing and dispensing of prescription medications, have created Prescription Drug Monitoring Programs (PDMP) to try to reduce inappropriate prescribing, dispensing, and related harm. Research assessing whether these interventions are effective has produced inconclusive and contradictory results. Here we examine whether different data sources may have contributed to the varying results. Specifically, we: 1) identify the decisions inherent in creating such a dataset; 2) discuss the public data sources used by researchers in previous work; 3) develop and apply a detailed research protocol to create a novel PDMP law dataset; and 4) to illustrate potential consequences of data choice, apply various data sources to analyze the relationship between PDMP laws and prescribing and dispensing of opioids among disabled Medicare beneficiaries. We find that our dates differ from those in existing datasets, sometimes by many years. The regression analyses generated a twofold difference in point estimates, as well as different signed estimates, depending on the data used. We conclude that the lack of transparency about data assembly in existing datasets, differences among dates by source, and the regression results raise concerns for PDMP researchers and policymakers.
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Despite efforts to address the opioid crisis, opioid-related overdoses remain a significant contributor to mortality. State efforts to reduce overdose deaths by removing barriers to naloxone have recently focused on pharmacy channels, but the specifics of these laws and the contexts in which they are implemented vary widely. In this paper, we use novel methods robust to heterogeneous effects across states and time-varying policy effects to estimate the effects on naloxone pharmacy distribution of two types of laws: laws authorizing non-patient-specific prescription distribution of naloxone and laws granting pharmacists prescriptive authority for naloxone. We find that both types of laws significantly increase the volume of naloxone dispensed through pharmacies. However, relative to laws authorizing non-patient-specific prescription distribution, effects are significantly larger for pharmacist prescriptive authority laws. These larger effects only partially derive from increased naloxone prescribing by pharmacists. We also estimate large, significant increases in pharmacy dispensation of naloxone prescribed by non-pharmacist prescribers, with particularly large increases among family medicine physicians, with particularly large increases among family medicine physicians. The relative benefits of pharmacist prescriptive authority laws versus non-patient-specific distribution are larger among Non-Hispanic Black individuals, suggesting an important role of these policies for reducing disparities in access to naloxone.
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