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Unsolicited reporting notifications (URNs) through Maryland's prescription drug monitoring program (PDMP): Characteristics of providers.
Amin-Esmaeili, Masoumeh; Gribble, Anna; Johnson, Renee M; Alinsky, Rachel H; Oyedele, Natasha; Parnham, Taylor; Byregowda, Himani; Schneider, Kristin E; Park, Ju Nyeong; Goddard, Lindsey; Susukida, Ryoko.
Afiliação
  • Amin-Esmaeili M; Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University.
  • Gribble A; Maryland Department of Health (MDH), Office of Provider Engagement and Regulation (OPER).
  • Johnson RM; Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University.
  • Alinsky RH; Division of Adolescent/Young Adult Medicine, Johns Hopkins University School of Medicine.
  • Oyedele N; Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University.
  • Parnham T; Department of Health Behavior and Society, Bloomberg School of Public Health, Johns Hopkins University.
  • Byregowda H; Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University.
  • Schneider KE; Department of Health Behavior and Society, Bloomberg School of Public Health, Johns Hopkins University.
  • Park JN; Warren Alpert Medical School, Brown University.
  • Goddard L; Maryland Department of Health (MDH), Office of Provider Engagement and Regulation (OPER).
  • Susukida R; Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University.
Drug Alcohol Depend Rep ; 5: 100111, 2022 Dec.
Article em En | MEDLINE | ID: mdl-36844159
ABSTRACT

Objectives:

Unsolicited reporting is the activity of analyzing Prescription Drug Monitoring Program (PDMP) data and then sending unsolicited reporting notifications (URNs) to prescribers to notify them of their outlier prescribing behavior. We aimed to describe information about prescribers who were issued URNs.

Methods:

A retrospective study of Maryland's PDMP data from Jan.2018-Apr.2021. All providers who were issued ≥ one URN were included in analyses. We summarized data on types of URNs issued by provider type and years in practice using basic descriptive measures. We also performed logistic regression analysis to provide odds ratio and estimated marginal probability of issuing ≥ one URN to providers in the Maryland health care workforce in comparison with physicians as reference group.

Results:

A total of 4,446 URNs were issued to 2,750 unique providers. Odds ratio (OR) and the population estimated probability of issuing URNs were higher among nurse practitioners [OR 1.42, 95% Confidence Interval (CI) 1.26-1.59] followed by physician assistants [OR 1.87, 95% CI 1.69-2.08], compared to physicians. Physicians and dentists with >10 years in practice comprised the majority of providers who were issued URNs (65.1% and 62.6%, respectively), while majority of nurse practitioners had been in practice for <10 years (75.8%).

Conclusion:

Findings indicate a higher probability of issuing URN for Maryland's physician assistants and nurse practitioners, compared to physicians, and an overrepresentation of physicians and dentists with longer and nurse practitioners with shorter practice experience. The study suggests education programs on safer prescribing practices and management of opioids should target certain types of providers.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article