Racial equity in linkage to inpatient opioid use disorder treatment in patients that received emergency care

Faiz, Jessica; Bernstein, Elizabeth; Dugas, Julianne; Schechter‐Perkins, Elissa M.; Nentwich, Lauren M.; Nelson, Kerrie P.; Manchanda, Emily C. Cleveland; Young, L. Caulette; Pare, Joseph R.

doi:10.1016/j.ajem.2022.01.037

Cited by 4 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, BISG-based approaches in claims data suggested the Black-White disparity for receiving ongoing substance use treatment may be underestimated when based on incomplete self-reported data. Taken together, these findings highlight the persistence of racialized medical care for pain management and substance use disorder treatment, [35][36][37][38][39][40] and the imperativeness of accurate disparities surveillance. Indeed, indirect methods, including BISG, are recommended when less than 80% of self-reported race and ethnicity are available for quality measurement.…”

Section: Discussionmentioning

confidence: 99%

Implications of missingness in self‐reported data for estimating racial and ethnic disparities in Medicaid quality measures

Yee

Hoopes

Giebultowicz

et al. 2022

Health Services Research

View full text Add to dashboard Cite

Objective: To assess the feasibility and implications of imputing race and ethnicity for quality and utilization measurement in Medicaid. Data Sources and StudySetting: 2017 Oregon Medicaid claims from the Oregon Health Authority and electronic health records (EHR) from OCHIN, a clinical data research network, were used. Study Design: We cross-sectionally assessed Hispanic-White, Black-White, and Asian-White disparities in 22 quality and utilization measures, comparing selfreported race and ethnicity to imputed values from the Bayesian Improved Surname Geocoding (BISG) algorithm.Data Collection: Race and ethnicity were obtained from self-reported data and imputed using BISG.Principal Findings: 42.5%/4.9% of claims/EHR were missing self-reported data; BISG estimates were available for >99% of each and had good concordance (0.87-0.95) with Asian, Black, Hispanic, and White self-report. All estimated racial and ethnic disparities were statistically similar in self-reported and imputed EHR-based measures.However, within claims, BISG estimates and incomplete self-reported data yielded substantially different disparities in almost half of the measures, with BISG-based Black-White disparities generally larger than self-reported race and ethnicity data.Conclusions: BISG imputation methods are feasible for Medicaid claims data and reduced missingness to <1%. Disparities may be larger than what is estimated using self-reported data with high rates of missingness.

show abstract

Section: Discussionmentioning

confidence: 99%

Implications of missingness in self‐reported data for estimating racial and ethnic disparities in Medicaid quality measures

Yee

Hoopes

Giebultowicz

et al. 2022

Health Services Research

View full text Add to dashboard Cite

show abstract

“…Studied interventions that have been found to be successful at improving awareness of racial bias and racism include health equity retreats for EM residents, 48 critical race theory curricula in EM education, 55 health equity journal clubs for EM staff, 45 and online courses for EM faculty 56 . Literature focused on improving outcomes related to emergency medical care included incorporating medical Spanish in residency to improve patient satisfaction, 57 decreasing barriers for Black and Hispanic men to receive opioid use disorder treatment, 58 and emergency department (ED)‐based interventions to address access to care 57 …”

Section: Consensus Findingsmentioning

confidence: 99%

2022 consensus conference on diversity, equity, and inclusion: Developing an emergency medicine research agenda for addressing racism through health care research

Davis

Sánchez

Jarman

et al. 2023

Academic Emergency Medicine

View full text Add to dashboard Cite

Racism in emergency medicine (EM) health care research is pervasive but often underrecognized. To understand the current state of research on racism in EM health care research, we developed a consensus working group on this topic, which concluded a year of work with a consensus‐building session as part of the overall Society for Academic Emergency Medicine (SAEM) consensus conference on diversity, equity, and inclusion: “Developing a Research Agenda for Addressing Racism in Emergency Medicine,” held on May 10, 2022. In this article, we report the development, details of preconference methods and preliminary results, and the final consensus of the Healthcare Research Working Group. Preconference work based on literature review and expert opinion identified 13 potential priority research questions that were refined through an iterative process to a list of 10. During the conference, the subgroup used consensus methodology and a “consensus dollar” (contingent valuation) approach to prioritize research questions. The subgroup identified three research gaps: remedies for racial bias and systematic racism, biases and heuristics in clinical care, and racism in study design, and we derived a list of six high‐priority research questions for our specialty.

show abstract

Lessons Learned from Implementation of a Post-opioid Overdose Outreach Program in a Rural Massachusetts Community

Senthilkumar,

Bailey,

Moner

et al. 2023

Community Ment Health J

View full text Add to dashboard Cite

Racial equity in linkage to inpatient opioid use disorder treatment in patients that received emergency care

Cited by 4 publications

References 24 publications

Implications of missingness in self‐reported data for estimating racial and ethnic disparities in Medicaid quality measures

Implications of missingness in self‐reported data for estimating racial and ethnic disparities in Medicaid quality measures

2022 consensus conference on diversity, equity, and inclusion: Developing an emergency medicine research agenda for addressing racism through health care research

Lessons Learned from Implementation of a Post-opioid Overdose Outreach Program in a Rural Massachusetts Community

Contact Info

Product

Resources

About