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The prescription drug monitoring program in a multifactorial approach to the opioid crisis: PDMP data, Pennsylvania, 2016-2020.
Adalbert, Jenna R; Syal, Amit; Varshney, Karan; George, Brandon; Hom, Jeffrey; Ilyas, Asif M.
  • Adalbert JR; Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA. jradalbertmsk@gmail.com.
  • Syal A; Jefferson College of Population Health, Philadelphia, PA, USA. jradalbertmsk@gmail.com.
  • Varshney K; Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA.
  • George B; Jefferson College of Population Health, Philadelphia, PA, USA.
  • Hom J; Deakin University School of Medicine, Geelong, VIC, USA.
  • Ilyas AM; Jefferson College of Population Health, Philadelphia, PA, USA.
BMC Health Serv Res ; 23(1): 364, 2023 Apr 13.
Article en En | MEDLINE | ID: mdl-37046254
ABSTRACT

BACKGROUND:

Prescription opioids remain an important contributor to the United States opioid crisis and to the development of opioid use disorder for opioid-naïve individuals. Recent legislative actions, such as the implementation of state prescription drug monitoring programs (PDMPs), aim to reduce opioid morbidity and mortality through enhanced tracking and reporting of prescription data. The primary objective of our study was to describe the opioid prescribing trends in the state of Pennsylvania (PA) as recorded by the PA PDMP following legislative changes in reporting guidelines, and discuss the PDMP's role in a multifactorial approach to opioid harm reduction.

METHODS:

State-level opioid prescription data summaries recorded by the PA PDMP for each calendar quarter from August 2016 through March 2020 were collected from the PA Department of Health. Data for oxycodone, hydrocodone, and morphine were analyzed by quarter for total prescription numbers and refills. Prescription lengths, pill quantities, and average morphine milliequivalents (MMEs) were analyzed by quarter for all 14 opioid prescription variants recorded by the PA PDMP. Linear regression was conducted for each group of variables to identify significant differences in prescribing trends.

RESULTS:

For total prescriptions dispensed, the number of oxycodone, hydrocodone, and morphine prescriptions decreased by 34.4, 44.6, and 22.3% respectively (p < 0.0001). Refills fluctuated less consistently with general peaks in Q3 of 2017 and Q3 of 2018 (p = 0.2878). The rate of prescribing for all opioid prescription lengths decreased, ranging in frequency from 22 to 30 days (47.5% of prescriptions) to 31+ days of opioids (0.8% of prescriptions) (p < 0.0001). Similarly, decreased prescribing was observed for all prescription amounts, ranging in frequency from 22 to 60 pills (36.6% of prescriptions) to 60-90 pills (14.2% of prescriptions) (p < 0.0001). Overall, the average MME per opioid prescription decreased by 18.9%.

CONCLUSIONS:

Per the PA PDMP database, opioid prescribing has decreased significantly in PA from 2016 to 2020. The PDMP database is an important tool for tracking opioid prescribing trends in PA, and PDMPs structured similarly in other states may enhance our ability to understand and influence the trajectory of the U.S. opioid crisis. Further research is needed to determine optimal PDMP policies and practices nationwide.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas de Monitoreo de Medicamentos Recetados Tipo de estudio: Guideline / Prognostic_studies Límite: Humans País como asunto: America do norte Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas de Monitoreo de Medicamentos Recetados Tipo de estudio: Guideline / Prognostic_studies Límite: Humans País como asunto: America do norte Idioma: En Año: 2023 Tipo del documento: Article