Enhancing Race and Ethnicity using Bayesian Imputation in an All Payer Claims Database

Ibrahimi, Sanae El; Hendricks, M; Hallvik, Sara E.; Dameshghi, Nazanin; Hildebran, Christi; Fischer, Michael; Weiner, Scott G.

doi:10.20944/preprints202201.0227.v1

Cited by 3 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We categorized age into bands: 18 to 24, 25 to 34, 35 to 44, 45 to 54, 55 to 64, 65 to 74, and 75 years and older. We used the Bayesian Imputed Surname Geocoding algorithm to impute race and ethnicity when data were missing from the APCD member file . Data on race and ethnicity were included to analyze differences in overdose outcomes across race and ethnicity, using data from claims member files.…”

Section: Methodsmentioning

confidence: 99%

“…We used the Bayesian Imputed Surname Geocoding algorithm to impute race and ethnicity when data were missing from the APCD member file. 14 Data on race and ethnicity were included to analyze differences in overdose outcomes across race and ethnicity, using data from claims member files. These following categories are largely consistent with how they were reported in claims.…”

Section: Individual Characteristicsmentioning

confidence: 99%

See 1 more Smart Citation

Association of Household Opioid Availability With Opioid Overdose

Hendricks¹,

Ibrahimi

Ritter

et al. 2023

JAMA Netw Open

Self Cite

View full text Add to dashboard Cite

ImportancePrevious studies that examined the role of household opioid prescriptions in opioid overdose risk were limited to commercial claims, did not include fatal overdoses, and had limited inclusion of household prescription characteristics. Broader research is needed to expand understanding of the risk of overdose.ObjectiveTo assess the role of household opioid availability and other household prescription factors associated with individuals’ odds of fatal or nonfatal opioid overdose.Design, Setting, and ParticipantsA retrospective cohort study assessing patient outcomes from January 1, 2015, through December 31, 2018, was conducted on adults in the Oregon Comprehensive Opioid Risk Registry database in households of at least 2 members. Data analysis was performed between October 16, 2020, and January 26, 2023.ExposuresHousehold opioid prescription availability and household prescription characteristics.Main Outcomes and MeasuresOpioid overdoses were captured from insurance claims, death records, and hospital discharge data. Household opioid prescription availability and prescription characteristics for individuals and households were modeled as 6-month cumulative time-dependent measures, updated monthly. To assess the association between household prescription availability, household prescription characteristics, and overdose, multilevel logistic regression models were developed, adjusting for demographic, clinical, household, and prescription characteristics.ResultsThe sample included 1 691 856 individuals in 1 187 140 households, of which most were women (53.2%), White race (70.7%), living in metropolitan areas (75.8%), and having commercial insurance (51.8%), no Elixhauser comorbidities (69.5%), and no opioid prescription fills in the study period (57.0%). A total of 28 747 opioid overdose events were observed during the study period (0.0526 per 100 person-months). Relative to individuals without personal or household opioid fills, the odds of opioid-related overdose increased by 60% when another household member had an opioid fill in the past 6 months (adjusted odds ratio [aOR], 1.60; 95% CI, 1.54-1.66) and were highest when both the individual and another household member had opioid fills in the preceding 6 months (aOR, 6.25; 95% CI, 6.09-6.40).Conclusions and RelevanceIn this cohort study of adult Oregon residents in households of at least 2 members, the findings suggest that household prescription availability is associated with increased odds of opioid overdose for others in the household, even if they do not have their own opioid prescription. These findings underscore the importance of educating patients about proper opioid disposal and the risks of household opioids.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Individual Characteristicsmentioning

confidence: 99%

Association of Household Opioid Availability With Opioid Overdose

Hendricks¹,

Ibrahimi

Ritter

et al. 2023

JAMA Netw Open

Self Cite

View full text Add to dashboard Cite

show abstract

The association between community social vulnerability and prescription opioid availability with individual opioid overdose

El Ibrahimi,

Hendricks,

Little

et al. 2023

Drug and Alcohol Dependence

View full text Add to dashboard Cite

Opioid-related overdose and chronic use following an initial prescription of hydrocodone versus oxycodone

Weiner

Hendricks²,

Ibrahimi

et al. 2022

PLoS ONE

Self Cite

View full text Add to dashboard Cite

Background Hydrocodone and oxycodone are prescribed commonly to treat pain. However, differences in risk of opioid-related adverse outcomes after an initial prescription are unknown. This study aims to determine the risk of opioid-related adverse events, defined as either chronic use or opioid overdose, following a first prescription of hydrocodone or oxycodone to opioid naïve patients. Methods A retrospective analysis of multiple linked public health datasets in the state of Oregon. Adult patients ages 18 and older who a) received an initial prescription for oxycodone or hydrocodone between 2015–2017 and b) had no opioid prescriptions or opioid-related hospitalizations or emergency department visits in the year preceding the prescription were followed through the end of 2018. First-year chronic opioid use was defined as ≥6 opioid prescriptions (including index) and average ≤30 days uncovered between prescriptions. Fatal or non-fatal opioid overdose was indicated from insurance claims, hospital discharge data or vital records. Results After index prescription, 2.8% (n = 14,458) of individuals developed chronic use and 0.3% (n = 1,480) experienced overdose. After adjustment for patient and index prescription characteristics, patients receiving oxycodone had lower odds of developing chronic use relative to patients receiving hydrocodone (adjusted odds ratio = 0.95, 95% confidence interval (CI) 0.91–1.00) but a higher risk of overdose (adjusted hazard ratio (aHR) = 1.65, 95% CI 1.45–1.87). Oxycodone monotherapy appears to greatly increase the hazard of opioid overdose (aHR 2.18, 95% CI 1.86–2.57) compared with hydrocodone with acetaminophen. Oxycodone combined with acetaminophen also shows a significant increase (aHR 1.26, 95% CI 1.06–1.50), but not to the same extent. Conclusions Among previously opioid-naïve patients, the risk of developing chronic use was slightly higher with hydrocodone, whereas the risk of overdose was higher after oxycodone, in combination with acetaminophen or monotherapy. With a goal of reducing overdose-related deaths, hydrocodone may be the favorable agent.

show abstract

Enhancing Race and Ethnicity using Bayesian Imputation in an All Payer Claims Database

Cited by 3 publications

References 19 publications

Association of Household Opioid Availability With Opioid Overdose

Association of Household Opioid Availability With Opioid Overdose

The association between community social vulnerability and prescription opioid availability with individual opioid overdose

Opioid-related overdose and chronic use following an initial prescription of hydrocodone versus oxycodone

Contact Info

Product

Resources

About