Literature DB >> 30875477

Development and evaluation of a standardized research definition for opioid overdose outcomes.

Ingrid A Binswanger1,2,3, Komal J Narwaney1, Edward M Gardner3,4, Barbara A Gabella5, Susan L Calcaterra2,3, Jason M Glanz1,6.   

Abstract

Background: Increasing epidemiologic and intervention research is being conducted on opioid overdose, a serious and potentially fatal outcome. However, there is little consensus on how to verify opioid overdose outcomes for research purposes. To ensure reproducibility, minimize misclassification, and permit data harmonization across studies, standardized and consistent overdose definitions are needed. The aims were to develop a case criteria classification scheme based on information commonly available in medical records and to compare it with reviewing physician clinical impression and simple encounter documentation.
Methods: In 2 large health systems, we developed a case criteria classification scheme for opioid overdose based on prior literature, expert opinion, and pilot testing with sample medical records. We then identified emergency department and hospital encounters (n = 259) with at least 1 International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code representing a broad range of opioid and non-opioid related poisonings. Physicians conducted structured medical record reviews to identify the proposed case criteria and generate a clinical impression, and trained abstractors verified documentation. We then compared the case criteria classification scheme with clinical impression and encounter documentation.
Results: We developed a quantitative opioid overdose case criteria classification scheme that included 3 sets of major criteria and 9 minor criteria (supporting documentation). For the encounters identified using poisoning codes, the proportion verified as opioid overdoses using the case criteria classification scheme, clinical impression, and encounter documentation ranged from 50.4% to 52.7% at one site and 55.5% to 67.2% at the second site. Discrepancies across approaches and sites related to differences in available records and documentation of clinical signs of overdose. Conclusions: We propose a novel case criteria classification scheme for opioid overdose that could be used to rigorously and consistently define overdose across multiple research settings. However, prior to widespread use, further refinement and validation are needed.

Entities:  

Keywords:  Epidemiology; heroin; methods; opioid analgesics; poisoning

Mesh:

Substances:

Year:  2019        PMID: 30875477      PMCID: PMC6579660          DOI: 10.1080/08897077.2018.1546263

Source DB:  PubMed          Journal:  Subst Abus        ISSN: 0889-7077            Impact factor:   3.716


  11 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

2.  Assessing the accuracy of opioid overdose and poisoning codes in diagnostic information from electronic health records, claims data, and death records.

Authors:  Carla A Green; Nancy A Perrin; Shannon L Janoff; Cynthia I Campbell; Howard D Chilcoat; Paul M Coplan
Journal:  Pharmacoepidemiol Drug Saf       Date:  2017-01-10       Impact factor: 2.890

3.  Opioid Prescribing After Nonfatal Overdose and Association With Repeated Overdose: A Cohort Study.

Authors:  Marc R Larochelle; Jane M Liebschutz; Fang Zhang; Dennis Ross-Degnan; J Frank Wharam
Journal:  Ann Intern Med       Date:  2015-12-29       Impact factor: 25.391

4.  Performance Measures of Diagnostic Codes for Detecting Opioid Overdose in the Emergency Department.

Authors:  Christopher Rowe; Eric Vittinghoff; Glenn-Milo Santos; Emily Behar; Caitlin Turner; Phillip O Coffin
Journal:  Acad Emerg Med       Date:  2017-03-17       Impact factor: 3.451

5.  Integration of data from a safety net health care system into the Vaccine Safety Datalink.

Authors:  Simon J Hambidge; Colleen Ross; Jo Ann Shoup; Kris Wain; Komal Narwaney; Kristin Breslin; Eric S Weintraub; Michael M McNeil
Journal:  Vaccine       Date:  2017-02-01       Impact factor: 3.641

6.  Increases in Drug and Opioid-Involved Overdose Deaths - United States, 2010-2015.

Authors:  Rose A Rudd; Puja Seth; Felicita David; Lawrence Scholl
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2016-12-30       Impact factor: 17.586

Review 7.  Extended-release injectable naltrexone for opioid use disorder: a systematic review.

Authors:  Brantley P Jarvis; August F Holtyn; Shrinidhi Subramaniam; D Andrew Tompkins; Emmanuel A Oga; George E Bigelow; Kenneth Silverman
Journal:  Addiction       Date:  2018-03-24       Impact factor: 6.526

8.  Opioid prescriptions for chronic pain and overdose: a cohort study.

Authors:  Kate M Dunn; Kathleen W Saunders; Carolyn M Rutter; Caleb J Banta-Green; Joseph O Merrill; Mark D Sullivan; Constance M Weisner; Michael J Silverberg; Cynthia I Campbell; Bruce M Psaty; Michael Von Korff
Journal:  Ann Intern Med       Date:  2010-01-19       Impact factor: 25.391

9.  Development of an algorithm to identify serious opioid toxicity in children.

Authors:  Cecilia P Chung; S Todd Callahan; William O Cooper; Katherine T Murray; Kathi Hall; Judith A Dudley; C Michael Stein; Wayne A Ray
Journal:  BMC Res Notes       Date:  2015-07-04

10.  Use of diagnosis codes for detection of clinically significant opioid poisoning in the emergency department: A retrospective analysis of a surveillance case definition.

Authors:  Joseph M Reardon; Katherine J Harmon; Genevieve C Schult; Catherine A Staton; Anna E Waller
Journal:  BMC Emerg Med       Date:  2016-02-08
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