Considerations for observational study design: Comparing the evidence of opioid use between electronic health records and insurance claims-Reference-Cited by-同舟云学术

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

Published:2022-05-23 Issue:8 Volume:31 Page:913-920
ISSN:1053-8569
Container-title:Pharmacoepidemiology and Drug Safety
language:en
Short-container-title:Pharmacoepidemiology and Drug

Author:

Young Jessica C.¹^ORCID,Dasgupta Nabarun²,Stürmer Til³^ORCID,Pate Virginia³,Jonsson Funk Michele³

Affiliation:

1. Cecil G. Sheps Center for Health Services Research University of North Carolina at Chapel Hill Chapel Hill North Carolina USA

2. Injury Prevention Research Center University of North Carolina at Chapel Hill Chapel Hill North Carolina USA

3. Department of Epidemiology, Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill North Carolina USA

Funder

Agency for Healthcare Research and Quality

National Institute on Drug Abuse

Publisher

Wiley

Subject

Pharmacology (medical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pds.5452

Reference23 articles.

1. Initial Opioid Prescriptions among U.S. Commercially Insured Patients, 2012–2017

2. Opioid Prescribing Rates in Nonmetropolitan and Metropolitan Counties Among Primary Care Providers Using an Electronic Health Record System — United States, 2014–2017

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

4. Opioid Overdose After Surgical Discharge

5. Measuring problem prescription opioid use among patients receiving long-term opioid analgesic treatment: development and evaluation of an algorithm for use in EHR and claims data

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1. Defining Key Deprescribing Measures from Electronic Health Data: A Multisite Data Harmonization Project;2023-11-07

2. Data quality considerations for evaluating COVID-19 treatments using real world data: learnings from the National COVID Cohort Collaborative (N3C);BMC Medical Research Methodology;2023-02-17

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