Literature DB >> 24589873

High-risk use by patients prescribed opioids for pain and its role in overdose deaths.

Jane A Gwira Baumblatt, Caleb Wiedeman, John R Dunn, William Schaffner, Leonard J Paulozzi, Timothy F Jones.   

Abstract

IMPORTANCE: From January 1, 2003, through December 31, 2010, drug overdose deaths in Tennessee increased from 422 to 1059 per year. More of these deaths involved prescription opioids than heroin and cocaine combined.
OBJECTIVE: To assess the contribution of certain opioid-prescribing patterns to the risk of overdose death. DESIGN, SETTING, AND PARTICIPANTS: We performed a matched case-control study that analyzed opioid prescription data from the Tennessee Controlled Substances Monitoring Program (TNCSMP) from January 1, 2007, through December 31, 2011, to identify risk factors associated with opioid-related overdose deaths from January 1, 2009, through December 31, 2010. Case patients were ascertained from death certificate data. Age- and sex-matched controls were randomly selected from among live patients in the TNCSMP. MAIN OUTCOMES AND MEASURES: We defined a high-risk number of prescribers or pharmacies as 4 or more per year and high-risk dosage as a daily mean of more than 100 morphine milligram equivalents (MMEs) per year. The main outcome was opioid-related overdose death.
RESULTS: From January 1, 2007, through December 31, 2011, one-third of the population of Tennessee filled an opioid prescription each year, and opioid prescription rates increased from 108.3 to 142.5 per 100 population per year. Among all patients in Tennessee prescribed opioids during 2011, 7.6% used more than 4 prescribers, 2.5% used more than 4 pharmacies, and 2.8% had a mean daily dosage greater than 100 MMEs. Increased risk of opioid-related overdose death was associated with 4 or more prescribers (adjusted odds ratio [aOR], 6.5; 95% CI, 5.1-8.5), 4 or more pharmacies (aOR, 6.0; 95% CI, 4.4-8.3), and more than 100 MMEs (aOR, 11.2; 95% CI, 8.3-15.1). Persons with 1 or more risk factor accounted for 55% of all overdose deaths. CONCLUSIONS AND RELEVANCE: High-risk use of prescription opioids is frequent and increasing in Tennessee and is associated with increased overdose mortality. Use of prescription drug–monitoring program data to direct risk-reduction measures to the types of patients overrepresented among overdose deaths might reduce mortality associated with opioid abuse.

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Year:  2014        PMID: 24589873     DOI: 10.1001/jamainternmed.2013.12711

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  90 in total

1.  Negative Affect-Related Factors Have the Strongest Association with Prescription Opioid Misuse in a Cross-Sectional Cohort of Patients with Chronic Pain.

Authors:  Gadi Gilam; John A Sturgeon; Dokyoung S You; Ajay D Wasan; Beth D Darnall; Sean C Mackey
Journal:  Pain Med       Date:  2020-02-01       Impact factor: 3.750

2.  High-Risk Prescribing to Medicaid Enrollees Receiving Opioid Analgesics: Individual- and County-Level Factors.

Authors:  Sara E Heins; Mark J Sorbero; Christopher M Jones; Andrew W Dick; Bradley D Stein
Journal:  Subst Use Misuse       Date:  2018-01-05       Impact factor: 2.164

3.  Developing a framework of care for opioid medication misuse in community pharmacy.

Authors:  Gerald Cochran; Adam J Gordon; Craig Field; Jennifer Bacci; Ranjita Dhital; Thomas Ylioja; Maxine Stitzer; Thomas Kelly; Ralph Tarter
Journal:  Res Social Adm Pharm       Date:  2015-05-08

4.  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

5.  Inside Maine's Medicine Cabinet: Findings From the Drug Enforcement Administration's Medication Take-Back Events.

Authors:  Heather Stewart; Alexandra Malinowski; Leslie Ochs; Jeanie Jaramillo; Kenneth McCall; Meghan Sullivan
Journal:  Am J Public Health       Date:  2015-01       Impact factor: 9.308

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

Authors:  Christopher Ringwalt; Sharon Schiro; Meghan Shanahan; Scott Proescholdbell; Harold Meder; Anna Austin; Nidhi Sachdeva
Journal:  J Prim Prev       Date:  2015-10

7.  Impact of a prescription drug monitoring program use mandate on potentially problematic patterns of opioid analgesic prescriptions in New York City.

Authors:  Marcus A Bachhuber; Ellenie Tuazon; Michelle L Nolan; Hillary V Kunins; Denise Paone
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-03-28       Impact factor: 2.890

8.  Race and Gender Are Associated with Opioid Dose Reduction Among Patients on Chronic Opioid Therapy.

Authors:  Michele Buonora; Hector R Perez; Moonseong Heo; Chinazo O Cunningham; Joanna L Starrels
Journal:  Pain Med       Date:  2019-08-01       Impact factor: 3.750

9.  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

10.  Assessing The Impact Of State Policies For Prescription Drug Monitoring Programs On High-Risk Opioid Prescriptions.

Authors:  Yuhua Bao; Katherine Wen; Phyllis Johnson; Philip J Jeng; Zachary F Meisel; Bruce R Schackman
Journal:  Health Aff (Millwood)       Date:  2018-10       Impact factor: 6.301

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