Literature DB >> 33346845

Association of Electronic Prescribing of Controlled Substances With Opioid Prescribing Rates.

Jordan Everson1,2, Audrey K Cheng1, Stephen W Patrick1, Stacie B Dusetzina1.   

Abstract

Importance: The majority of US states have passed mandates requiring the use of electronic prescribing of controlled substances (EPCS) as a tool to reduce rates of opioid prescribing. It is not known whether increasing use of EPCS will have the intended effect. Objective: To assess the association between use of EPCS and trends in opioid prescribing. Design, Setting, and Participants: In this retrospective, longitudinal cohort study of all patients and prescribers in the 50 US states and the District of Columbia from 2010 to 2018, changes in state-level use of EPCS and concurrent changes in opioid prescribing in each state are described. Then the association between changes in the use of EPCS and opioid prescribing are estimated using state and year fixed-effects models that include covariates for policy change and state demographic change. Data Analysis was performed on May 5, 2020. Main Outcomes and Measures: The proportion of controlled substances in each state prescribed using EPCS based on opioid prescriptions per 100 persons and morphine milligram equivalents (MME) of opioids.
Results: In 2018, the population-weighted percent of opioids prescribed using EPCS was 27%, up from 0% as of 2013. National rates of opioid prescriptions decreased from 78 prescriptions per 100 persons in 2013 to 53 in 2018. Over the same period, there was a decrease from 64 071 MME per 100 persons in 2013 to 40 906 MME per 100 persons in 2018, representing 36% of the 2013 level. By 2018, EPCS increased to 69.4% in states with mandates for its use and 23.6% in states without mandates. In multivariable models, a 10 percentage-point increase in the use of EPCS was associated with an additional 2 prescriptions per 100 persons (95% CI, 1.3-2.8) and a 0.8% (95% CI, 0.06%-1.5%) increase in MME per 100 persons. Conclusions and Relevance: These data suggest that an increased use of EPCS was not associated with decreased opioid prescribing or a decrease in the amount prescribed and may have been associated with a small increase in opioid prescribing. Opioid prescribing is associated with a variety of social and public health factors, and thus, despite the appeal, EPCS adoption alone may be insufficient to reduce opioid prescribing. Policy makers should consider levers to ensure that EPCS is integrated with outside data and that information is actively used to inform prescribing decisions.

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Year:  2020        PMID: 33346845      PMCID: PMC7753903          DOI: 10.1001/jamanetworkopen.2020.27951

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


  20 in total

1.  Prescribers' expectations and barriers to electronic prescribing of controlled substances.

Authors:  Cindy Parks Thomas; Meelee Kim; Ann McDonald; Peter Kreiner; Stephen J Kelleher; Michael B Blackman; Peter N Kaufman; Grant M Carrow
Journal:  J Am Med Inform Assoc       Date:  2011-09-21       Impact factor: 4.497

2.  Adoption of and experience with e-prescribing by primary care physicians.

Authors:  Krutika S Jariwala; Erin R Holmes; Benjamin F Banahan; David J McCaffrey
Journal:  Res Social Adm Pharm       Date:  2012-06-12

3.  It's Time to Adopt Electronic Prescriptions for Opioids.

Authors:  Atul A Gawande
Journal:  Ann Surg       Date:  2017-04       Impact factor: 12.969

4.  The Effect of Opioid Prescribing Guidelines on Prescriptions by Emergency Physicians in Ohio.

Authors:  Scott G Weiner; Olesya Baker; Sabrina J Poon; Ann F Rodgers; Chad Garner; Lewis S Nelson; Jeremiah D Schuur
Journal:  Ann Emerg Med       Date:  2017-05-23       Impact factor: 5.721

5.  US regional and demographic differences in prescription opioid and heroin-related overdose hospitalizations.

Authors:  George Jay Unick; Daniel Ciccarone
Journal:  Int J Drug Policy       Date:  2017-07-05

6.  Effect of New York State Electronic Prescribing Mandate on Opioid Prescribing Patterns.

Authors:  Dimitry Danovich; Josh Greenstein; Jerel Chacko; Barry Hahn; Brahim Ardolic; Ben Ilyaguyev; Nicole Berwald
Journal:  J Emerg Med       Date:  2019-06-27       Impact factor: 1.484

7.  Trends in Medical Use of Opioids in the U.S., 2006-2016.

Authors:  Brian J Piper; Dipam T Shah; Olapeju M Simoyan; Kenneth L McCall; Stephanie D Nichols
Journal:  Am J Prev Med       Date:  2018-03-15       Impact factor: 5.043

8.  A systematic review of trials evaluating success factors of interventions with computerised clinical decision support.

Authors:  Stijn Van de Velde; Annemie Heselmans; Nicolas Delvaux; Linn Brandt; Luis Marco-Ruiz; David Spitaels; Hanne Cloetens; Tiina Kortteisto; Pavel Roshanov; Ilkka Kunnamo; Bert Aertgeerts; Per Olav Vandvik; Signe Flottorp
Journal:  Implement Sci       Date:  2018-08-20       Impact factor: 7.327

9.  Evaluation of Prescription Drug Monitoring Program Integration With Hospital Electronic Health Records by US County-Level Opioid Prescribing Rates.

Authors:  A Jay Holmgren; Nate C Apathy
Journal:  JAMA Netw Open       Date:  2020-06-01

10.  Dynamic changes in prescription opioids from 2006 to 2017 in Texas.

Authors:  Ebuwa O Ighodaro; Kenneth L McCall; Daniel Y Chung; Stephanie D Nichols; Brian J Piper
Journal:  PeerJ       Date:  2019-12-06       Impact factor: 2.984

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  3 in total

1.  Exploring perspectives on changing opioid prescribing practices: A qualitative study of community stakeholders in the HEALing Communities Study.

Authors:  Daniel M Walker; Janet E Childerhose; Sadie Chen; Nicolette Coovert; Rebecca D Jackson; Natasha Kurien; Ann Scheck McAlearney; Jaclyn Volney; Daniel P Alford; Julie Bosak; Douglas R Oyler; Laura K Stinson; Melika Behrooz; Mia-Cara Christopher; Mari-Lynn Drainoni
Journal:  Drug Alcohol Depend       Date:  2022-02-02       Impact factor: 4.492

2.  Factors Associated with Prescription Drug Monitoring Program Use Among US Physicians: National Electronic Health Record Survey 2018-2019.

Authors:  Juhan Lee; Kea Turner; Marwin Groener; Oliver T Nguyen; Amir Alishahi Tabriz; Young-Rock Hong
Journal:  J Gen Intern Med       Date:  2022-05-17       Impact factor: 6.473

3.  The Effect of an Electronic Prescribing Policy for Opioids on Physician Prescribing Patterns Following Common Upper Extremity Procedures.

Authors:  Monica M Shoji; David N Bernstein; Nelson Merchan; Kelly McFarlane; Carl M Harper; Tamara D Rozental
Journal:  J Hand Surg Glob Online       Date:  2022-01-13
  3 in total

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