The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Racial-Ethnic Disparities in Opioid Prescriptions at Emergency Department Visits for Conditions Commonly Associated with Prescription Drug Abuse
Open accessAbstract
Prescription drug abuse is a growing problem nationally. In an effort to curb this problem, emergency physicians might rely on subjective cues such as race-ethnicity, often unknowingly, when prescribing opioids for pain-related complaints, especially for conditions that are often associated with drug-seeking behavior. Previous studies that examined racial-ethnic disparities in opioid dispensing at emergency departments (EDs) did not differentiate between prescriptions at discharge and drug administration in the ED. We examined racial-ethnic disparities in opioid prescription at ED visits for pain-related complaints often associated with drug-seeking behavior and contrasted them with conditions objectively associated with pain. We hypothesized a priori that racial-ethnic disparities will be present among opioid prescriptions for conditions associated with non-medical use, but not for objective pain-related conditions. Using data from the National Hospital Ambulatory Medical Care Survey for 5 years (2007-2011), the odds of opioid prescription during ED visits made by non-elderly adults aged 18-65 for 'non-definitive' conditions (toothache, back pain and abdominal pain) or 'definitive' conditions (long-bone fracture and kidney stones) were modeled. Opioid prescription at discharge and opioid administration at the ED were the primary outcomes. We found significant racial-ethnic disparities, with non-Hispanic Blacks being less likely (adjusted odds ratio ranging from 0.56-0.67, p-value < 0.05) to receive opioid prescription at discharge during ED visits for back pain and abdominal pain, but not for toothache, fractures and kidney stones, compared to non-Hispanic whites after adjusting for other covariates. Differential prescription of opioids by race-ethnicity could lead to widening of existing disparities in health, and may have implications for disproportionate burden of opioid abuse among whites. The findings have important implications for medical provider education to include sensitization exercises towards their inherent biases, to enable them to consciously avoid these biases from defining their practice behavior.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century
Case, A., & Deaton, A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1518393112 · Cited by 2,759
Trends in Opioid Analgesic Abuse and Mortality in the United States
Dart, R. C., Surratt, H. L., Cicero, T. J., Parrino, M. W., Severtson, S. G., Bucher-Bartelson, B., & Green, J. L. (2015) · New England Journal of Medicine · doi:10.1056/nejmsa1406143 · Cited by 1,137
Trends in Opioid Prescribing by Race/Ethnicity for Patients Seeking Care in US Emergency Departments
Pletcher, M. J., Kertesz, S. G., Kohn, M. A., & Gonzales, R. (2008) · JAMA · doi:10.1001/jama.2007.64 · Cited by 827
Trends in Opioid Analgesic–Prescribing Rates by Specialty, U.S., 2007–2012
Levy, B., Paulozzi, L., Mack, K. A., & Jones, C. M. (2015) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2015.02.020 · Cited by 723
Todd, K. H., Ducharme, J., Choiniere, M., Crandall, C. S., Fosnocht, D. E., Homel, P., & Tanabe, P. (2007) · The Journal of Pain · doi:10.1016/j.jpain.2006.12.005 · Cited by 683
Pharmaceutical Overdose Deaths, United States, 2010
Jones, C. M., Mack, K. A., & Paulozzi, L. J. (2013) · JAMA · doi:10.1001/jama.2013.272 · Cited by 678
Frequent Users of Emergency Departments: The Myths, the Data, and the Policy Implications
LaCalle, E., & Rabin, E. (2010) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2010.01.032 · Cited by 643
Ethnicity and analgesic practice
Todd, K. H., Deaton, C., D’Adamo, A. P., & Goe, L. (2000) · Annals of Emergency Medicine · doi:10.1016/s0196-0644(00)70099-0 · Cited by 641
Inadequate analgesia in emergency medicine
Rupp, T., & Delaney, K. A. (2004) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2003.11.019 · Cited by 544
Morrison, R. S., Wallenstein, S., Natale, D. K., Senzel, R. S., & Huang, L.-L. (2000) · New England Journal of Medicine · doi:10.1056/nejm200004063421406 · Cited by 455
Cited by
Macroeconomic conditions and opioid abuse
Hollingsworth, A., Ruhm, C. J., & Simon, K. (2017) · Journal of Health Economics · doi:10.1016/j.jhealeco.2017.07.009 · Cited by 312
Macias-Konstantopoulos, W. L., Collins, K. A., Diaz, R., Duber, H. C., Edwards, C. D., Hsu, A. P., Ranney, M. L., Riviello, R. J., Wettstein, Z. S., & Sachs, C. J. (2023) · Western Journal of Emergency Medicine · doi:10.5811/westjem.58408 · Cited by 218
AI chatbots not yet ready for clinical use.
Au Yeung, J., Kraljevic, Z., Luintel, A., Balston, A., Idowu, E., Dobson, R. J., & Teo, J. T. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1161098 · Cited by 176
Trends and Rapidity of Dose Tapering Among Patients Prescribed Long-term Opioid Therapy, 2008-2017
Fenton, J. J., Agnoli, A. L., Xing, G., Hang, L., Altan, A. E., Tancredi, D. J., Jerant, A., & Magnan, E. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.16271 · Cited by 97
Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking model.
Röösli, E., Bozkurt, S., & Hernandez-Boussard, T. (2022) · Scientific Data · doi:10.1038/s41597-021-01110-7 · Cited by 73
Metadata
- Authors
- Singhal, A., Tien, Y.-Y., & Hsia, R. Y.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2016-08-08
- Volume
- 11
- Issue
- 8
- Pages
- e0159224
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2507421003
- Cited by
- 305
- References
- 34
- FWCI
- 23.88
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Racial-Ethnic Disparities in Opioid Prescriptions at Emergency Department Visits for Conditions Commonly Associated with Prescription Drug Abuse. https://app.cochat.ai/papers/10.1371/journal.pone.0159224
- The paper
- Singhal, A., Tien, Y.-Y., & Hsia, R. Y. (2016). Racial-Ethnic Disparities in Opioid Prescriptions at Emergency Department Visits for Conditions Commonly Associated with Prescription Drug Abuse. PLOS ONE. https://doi.org/10.1371/journal.pone.0159224
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.