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Reducing the default dispense quantity for new opioid analgesic prescriptions: study protocol for a cluster randomised controlled trial

Authors

  • Marcus A Bachhuber Division of General Internal Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, New York City, New York, USA PubMed articlesGoogle scholar articles
  • Denis Nash Institute for Implementation Science in Population Health, City University of New York (CUNY), New York City, New York, USA Department of Epidemiology and Biostatistics, School of Public Health, City University of New York (CUNY), New York City, New York, USA PubMed articlesGoogle scholar articles
  • William N Southern Division of Hospital Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, New York City, New York, USA PubMed articlesGoogle scholar articles
  • Moonseong Heo Department of Epidemiology and Population Health, Montefiore Medical Center/Albert Einstein College of Medicine, New York City, New York, USA PubMed articlesGoogle scholar articles
  • Matthew Berger Division of Hospital Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, New York City, New York, USA Montefiore Information Technology, Montefiore Medical Center, New York City, New York, USA PubMed articlesGoogle scholar articles
  • Mark Schepis Montefiore Information Technology, Montefiore Medical Center, New York City, New York, USA PubMed articlesGoogle scholar articles
  • Chinazo O Cunningham Division of General Internal Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, New York City, New York, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Marcus A Bachhuber; marcus.bachhuber{at}gmail.com
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Citation

Bachhuber MA, Nash D, Southern WN, et al
Reducing the default dispense quantity for new opioid analgesic prescriptions: study protocol for a cluster randomised controlled trial

Publication history

  • Received September 11, 2017
  • Revised February 15, 2018
  • Accepted March 19, 2018
  • First published April 20, 2018.
Online issue publication 
January 24, 2022

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