Literature DB >> 26143508

The use of a prescription drug monitoring program to develop algorithms to identify providers with unusual prescribing practices for controlled substances.

Christopher Ringwalt1, Sharon Schiro2, Meghan Shanahan3, Scott Proescholdbell4, Harold Meder3, Anna Austin4, Nidhi Sachdeva4.   

Abstract

The misuse, abuse and diversion of controlled substances have reached epidemic proportion in the United States. Contributing to this problem are providers who over-prescribe these substances. Using one state's prescription drug monitoring program, we describe a series of metrics we developed to identify providers manifesting unusual and uncustomary prescribing practices. We then present the results of a preliminary effort to assess the concurrent validity of these algorithms, using death records from the state's vital records database pertaining to providers who wrote prescriptions to patients who then died of a medication or drug overdose within 30 days. Metrics manifesting the strongest concurrent validity with providers identified from these records related to those who co-prescribed benzodiazepines (e.g., valium) and high levels of opioid analgesics (e.g., oxycodone), as well as those who wrote temporally overlapping prescriptions. We conclude with a discussion of a variety of uses to which these metrics may be put, as well as problems and opportunities related to their use.

Entities:  

Keywords:  Aberrant prescribing; Controlled substances; Opioids; Unusual prescribing

Mesh:

Substances:

Year:  2015        PMID: 26143508     DOI: 10.1007/s10935-015-0397-0

Source DB:  PubMed          Journal:  J Prim Prev        ISSN: 0278-095X


  34 in total

Review 1.  Drug utilization statistics for individual-level pharmacy dispensing data.

Authors:  Jesper Hallas
Journal:  Pharmacoepidemiol Drug Saf       Date:  2005-07       Impact factor: 2.890

2.  The prescription drug epidemic in the United States: a perfect storm.

Authors:  Jane Carlisle Maxwell
Journal:  Drug Alcohol Rev       Date:  2011-05

3.  Hot spots in mortality from drug poisoning in the United States, 2007-2009.

Authors:  Lauren M Rossen; Diba Khan; Margaret Warner
Journal:  Health Place       Date:  2013-12-01       Impact factor: 4.078

4.  Time series analysis of California's prescription monitoring program: impact on prescribing and multiple provider episodes.

Authors:  Aaron M Gilson; Scott M Fishman; Barth L Wilsey; Carlos Casamalhuapa; Hassan Baxi
Journal:  J Pain       Date:  2011-11-23       Impact factor: 5.820

5.  Factors predicting development of opioid use disorders among individuals who receive an initial opioid prescription: mathematical modeling using a database of commercially-insured individuals.

Authors:  Bryan N Cochran; Annesa Flentje; Nicholas C Heck; Jill Van Den Bos; Dan Perlman; Jorge Torres; Robert Valuck; Jean Carter
Journal:  Drug Alcohol Depend       Date:  2014-03-12       Impact factor: 4.492

6.  Prescription drug monitoring programs and death rates from drug overdose.

Authors:  Leonard J Paulozzi; Edwin M Kilbourne; Hema A Desai
Journal:  Pain Med       Date:  2011-02-18       Impact factor: 3.750

7.  Measures such as interstate cooperation would improve the efficacy of programs to track controlled drug prescriptions.

Authors:  Richard A Deyo; Jessica M Irvine; Lisa M Millet; Todd Beran; Nicole O'Kane; Dagan A Wright; Dennis McCarty
Journal:  Health Aff (Millwood)       Date:  2013-02-13       Impact factor: 6.301

8.  Physicians charged with opioid analgesic-prescribing offenses.

Authors:  Donald M Goldenbaum; Myra Christopher; Rollin M Gallagher; Scott Fishman; Richard Payne; David Joranson; Drew Edmondson; Judith McKee; Arthur Thexton
Journal:  Pain Med       Date:  2008-07-24       Impact factor: 3.750

9.  Drug-poisoning Deaths Involving Opioid Analgesics: United States, 1999-2011.

Authors:  Li Hui Chen; Holly Hedegaard; Margaret Warner
Journal:  NCHS Data Brief       Date:  2014-09

10.  Prescription drug monitoring and drug overdose mortality.

Authors:  Guohua Li; Joanne E Brady; Barbara H Lang; James Giglio; Hannah Wunsch; Charles DiMaggio
Journal:  Inj Epidemiol       Date:  2014-04-24
View more
  9 in total

1.  The Future of Social Network Analysis of Health Care System Data: Promise and Concerns.

Authors:  Elizabeth M Oliva
Journal:  J Gen Intern Med       Date:  2016-02       Impact factor: 5.128

2.  Dental opioid prescribing and multiple opioid prescriptions among dental patients: Administrative data from the South Carolina prescription drug monitoring program.

Authors:  Jenna L McCauley; J Madison Hyer; V Ramesh Ramakrishnan; Renata Leite; Cathy L Melvin; Roger B Fillingim; Christie Frick; Kathleen T Brady
Journal:  J Am Dent Assoc       Date:  2016-04-05       Impact factor: 3.634

3.  Association of prescription drug monitoring program laws with bedridden and missed work days.

Authors:  Martha Wetzel; Courtney R Yarbrough; Silke A von Esenwein; Jason M Hockenberry
Journal:  Health Serv Res       Date:  2021-08-19       Impact factor: 3.402

4.  Leveraging the Prescription Drug Monitoring Program to Curb Opioid Prescribing in Arkansas.

Authors:  Corey J Hayes; Johnathan Goree; Jamie Turpin; Haley Ortiz; G Richard Smith; Srinivasa B Gokarakonda; Carrie Hyde; Michael A Cucciare
Journal:  J Prev (2022)       Date:  2022-02-03

5.  Opioid prescribing and risk mitigation implementation in the management of acute pain: Results from The National Dental Practice-Based Research Network.

Authors:  Jenna L McCauley; Renata S Leite; Valeria V Gordan; Roger B Fillingim; Gregg H Gilbert; Cyril Meyerowitz; David Cochran; D Brad Rindal; Kathleen T Brady
Journal:  J Am Dent Assoc       Date:  2018-03-15       Impact factor: 3.634

6.  Using Prescription Drug Monitoring Program Data to Assess Likelihood of Incident Long-Term Opioid Use: a Statewide Cohort Study.

Authors:  Stephen G Henry; Susan L Stewart; Eryn Murphy; Iraklis Erik Tseregounis; Andrew J Crawford; Aaron B Shev; James J Gasper; Daniel J Tancredi; Magdalena Cerdá; Brandon D L Marshall; Garen J Wintemute
Journal:  J Gen Intern Med       Date:  2021-03-19       Impact factor: 5.128

7.  Evaluating the impact of prescription drug monitoring program implementation: a scoping review.

Authors:  Erin P Finley; Ashley Garcia; Kristen Rosen; Don McGeary; Mary Jo Pugh; Jennifer Sharpe Potter
Journal:  BMC Health Serv Res       Date:  2017-06-20       Impact factor: 2.655

8.  Doctor hopping and doctor shopping for prescription opioids associated with increased odds of high-risk use.

Authors:  Sean G Young; Corey J Hayes; Jonathan Aram; Mark A Tait
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-06-05       Impact factor: 2.890

Review 9.  Automatable algorithms to identify nonmedical opioid use using electronic data: a systematic review.

Authors:  Chelsea Canan; Jennifer M Polinski; G Caleb Alexander; Mary K Kowal; Troyen A Brennan; William H Shrank
Journal:  J Am Med Inform Assoc       Date:  2017-11-01       Impact factor: 4.497

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.