Literature DB >> 35560685

Considerations for observational study design: Comparing the evidence of opioid use between electronic health records and insurance claims.

Jessica C Young1, Nabarun Dasgupta2, Til Stürmer3, Virginia Pate3, Michele Jonsson Funk3.   

Abstract

PURPOSE: Pharmacoepidemiology studies often use insurance claims and/or electronic health records (EHR) to capture information about medication exposure. The choice between these data sources has important implications.
METHODS: We linked EHR from a large academic health system (2015-2017) to Medicare insurance claims for patients undergoing surgery. Drug utilization was characterized based on medication order dates in the EHR, and prescription fill dates in Medicare claims. We compared opioid use documented in EHR orders to prescription claims in four time periods: 1) Baseline (182 days before surgery); 2) Perioperative period; 3) Discharge date; 4) Follow-up (90 days after surgery).
RESULTS: We identified 11 128 patients undergoing surgery. During baseline, 34.4% (EHR) versus 44.1% (claims) had evidence of opioid use, and 56.9% of all baseline use was reflected only in one data source. During the perioperative period, 78.8% (EHR) versus 47.6% (claims) had evidence of use. On the day of discharge, 59.6% (EHR) versus 45.5% (claims) had evidence of use, and 51.8% of all discharge use was reflected only in one data source. During follow-up, 4.3% (EHR) versus 10.4% (claims) were identified with prolonged opioid use following surgery with 81.4% of all prolonged use reflected only in one data source.
CONCLUSIONS: When characterizing opioid exposure, we found substantial discrepancies between EHR medication orders and prescription claims data. In all time periods assessed, most patients' use was reflected only in the EHR, or only in the claims, not both. The potential for misclassification of drug utilization must be evaluated carefully, and choice of data source may have large impacts on key study design elements.
© 2022 John Wiley & Sons Ltd.

Entities:  

Keywords:  EHR; data linkage; insurance claims; opioids; pharmacoepidemiology

Mesh:

Substances:

Year:  2022        PMID: 35560685      PMCID: PMC9271595          DOI: 10.1002/pds.5452

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.732


  22 in total

1.  Classifying medical histories in US Medicare beneficiaries using fixed vs all-available look-back approaches.

Authors:  Mitchell M Conover; Til Stürmer; Charles Poole; Robert J Glynn; Ross J Simpson; Virginia Pate; Michele Jonsson Funk
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-04-14       Impact factor: 2.890

2.  Opioid Overdose After Surgical Discharge.

Authors:  Karim S Ladha; Joshua J Gagne; Elisabetta Patorno; Krista F Huybrechts; James P Rathmell; Shirley V Wang; Brian T Bateman
Journal:  JAMA       Date:  2018-08-07       Impact factor: 56.272

3.  A concept analysis of analgesic nonadherence for cancer pain in a time of opioid crisis.

Authors:  William E Rosa; Barbara Riegel; Connie M Ulrich; Salimah H Meghani
Journal:  Nurs Outlook       Date:  2019-06-28       Impact factor: 3.250

4.  Out-of-system Care and Recording of Patient Characteristics Critical for Comparative Effectiveness Research.

Authors:  Kueiyu Joshua Lin; Robert J Glynn; Daniel E Singer; Shawn N Murphy; Joyce Lii; Sebastian Schneeweiss
Journal:  Epidemiology       Date:  2018-05       Impact factor: 4.822

5.  Leveraging electronic health records for clinical research.

Authors:  Sudha R Raman; Lesley H Curtis; Robert Temple; Tomas Andersson; Justin Ezekowitz; Ian Ford; Stefan James; Keith Marsolo; Parsa Mirhaji; Mitra Rocca; Russell L Rothman; Barathi Sethuraman; Norman Stockbridge; Sharon Terry; Scott M Wasserman; Eric D Peterson; Adrian F Hernandez
Journal:  Am Heart J       Date:  2018-04-30       Impact factor: 4.749

6.  Initial Opioid Prescriptions among U.S. Commercially Insured Patients, 2012-2017.

Authors:  Wenjia Zhu; Michael E Chernew; Tisamarie B Sherry; Nicole Maestas
Journal:  N Engl J Med       Date:  2019-03-14       Impact factor: 91.245

Review 7.  Strengths and weaknesses of existing data sources to support research to address the opioids crisis.

Authors:  Rosanna Smart; Courtney A Kase; Erin A Taylor; Susan Lumsden; Scott R Smith; Bradley D Stein
Journal:  Prev Med Rep       Date:  2019-11-06

8.  Day-of-Surgery Gabapentinoids and Prolonged Opioid Use: A Retrospective Cohort Study of Medicare Patients Using Electronic Health Records.

Authors:  Jessica C Young; Nabarun Dasgupta; Brooke A Chidgey; Til Stürmer; Virginia Pate; Michael Hudgens; Michele Jonsson Funk
Journal:  Anesth Analg       Date:  2021-11-01       Impact factor: 6.627

Review 9.  Electronic health records to facilitate clinical research.

Authors:  Martin R Cowie; Juuso I Blomster; Lesley H Curtis; Sylvie Duclaux; Ian Ford; Fleur Fritz; Samantha Goldman; Salim Janmohamed; Jörg Kreuzer; Mark Leenay; Alexander Michel; Seleen Ong; Jill P Pell; Mary Ross Southworth; Wendy Gattis Stough; Martin Thoenes; Faiez Zannad; Andrew Zalewski
Journal:  Clin Res Cardiol       Date:  2016-08-24       Impact factor: 5.460

10.  Assessment of Potentially Inappropriate Prescribing of Opioid Analgesics Requiring Prior Opioid Tolerance.

Authors:  Molly Moore Jeffery; Christine E Chaisson; Christopher Hane; Louis Rumanes; Jamie Tucker; Lillian Hang; Rozalina McCoy; Catherine L Chen; Mark C Bicket; W Michael Hooten; Marc Larochelle; William C Becker; Cynthia Kornegay; Judith A Racoosin; Darshak Sanghavi
Journal:  JAMA Netw Open       Date:  2020-04-01
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