2017
DOI: 10.2139/ssrn.3037875
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The Mitigating Role of Prescription Drug Monitoring Programs in the Abuse of Prescription Drugs

Abstract: Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Founda… Show more

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Cited by 7 publications
(11 citation statements)
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“…The studies reviewed here exploit variation in the timing of implementation of PDMPs and heterogeneity in PDMP attributes, including "must access" provisions, in difference-in-differences frameworks to identify the effect of PDMPs on various outcomes. Ayres and Jalal (2018), Buchmueller and Carey (2018), Meinhofer (2018), Sacks et al (2021), andBao et al (2018) analyze the impact of PDMPs on prescription drug utilization; Birk and Waddell (2017), Buchmueller and Carey (2018), Meinhofer (2018), andGrecu et al (2019) explore the effectiveness of PDMPs in reducing opioid poisoning or opioid-related drug overdose deaths; and Birk and Waddell (2017) and Grecu et al (2019) evaluate the impact of PDMP attributes on admissions to substance abuse treatment facilities. Ayres and Jalal (2018) and Meinhofer (2018) analyze the impact of PDMPs on retail opioid prescribing rates for the general population at the county and state levels, respectively.…”
Section: Contextmentioning
confidence: 99%
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“…The studies reviewed here exploit variation in the timing of implementation of PDMPs and heterogeneity in PDMP attributes, including "must access" provisions, in difference-in-differences frameworks to identify the effect of PDMPs on various outcomes. Ayres and Jalal (2018), Buchmueller and Carey (2018), Meinhofer (2018), Sacks et al (2021), andBao et al (2018) analyze the impact of PDMPs on prescription drug utilization; Birk and Waddell (2017), Buchmueller and Carey (2018), Meinhofer (2018), andGrecu et al (2019) explore the effectiveness of PDMPs in reducing opioid poisoning or opioid-related drug overdose deaths; and Birk and Waddell (2017) and Grecu et al (2019) evaluate the impact of PDMP attributes on admissions to substance abuse treatment facilities. Ayres and Jalal (2018) and Meinhofer (2018) analyze the impact of PDMPs on retail opioid prescribing rates for the general population at the county and state levels, respectively.…”
Section: Contextmentioning
confidence: 99%
“…Buchmueller and Carey find a negative but insignificant effect of MA-PDMPs on opioid poisoning incidents in the Medicare population. Birk and Waddell (2017) and Grecu et al (2019) exploit variation in the timing of implementation of PDMPs and heterogeneity in PDMP attributes to identify the effect of PDMPs on substance abuse treatment admissions. 7 The main difference in the studies is the time period-Birk and Waddell use data from 1998 to 2017 while Grecu et al have data from 2003Grecu et al have data from to 2014 Both studies find that PDMPs with "must access" attributes result in larger reductions in opioidrelated drug treatment admissions than "voluntary access" PDMPs.…”
Section: Contextmentioning
confidence: 99%
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