2023
DOI: 10.1016/j.josat.2023.209082
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Inequities in the treatment of opioid use disorder: A scoping review

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Cited by 4 publications
(4 citation statements)
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“…50 While access to MOUD is better in New York, New York, than in much of the US, including for publicly insured populations, 51 barriers remain, including stigmatization of medication-based treatment, financial or insurance issues, program requirements, transportation, and patient dissatisfaction with treatment options. 52,53 This is reflected in national data that show low rates of MOUD treatment, particularly among the racial and ethnic minority and financially disadvantaged populations that are well represented in our study, [3][4][5]8,54 as well as suboptimal retention among those who do engage in treatment. 55 New approaches to community-based MOUD services, such as flexible, lowbarrier treatment programs 53 and robust patient navigation, 56 as well as improvements to the quality of care (eg, providing adequate medication dose), 57,58 may be needed to increase rates of MOUD following hospitalization.…”
Section: Discussionmentioning
confidence: 84%
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“…50 While access to MOUD is better in New York, New York, than in much of the US, including for publicly insured populations, 51 barriers remain, including stigmatization of medication-based treatment, financial or insurance issues, program requirements, transportation, and patient dissatisfaction with treatment options. 52,53 This is reflected in national data that show low rates of MOUD treatment, particularly among the racial and ethnic minority and financially disadvantaged populations that are well represented in our study, [3][4][5]8,54 as well as suboptimal retention among those who do engage in treatment. 55 New approaches to community-based MOUD services, such as flexible, lowbarrier treatment programs 53 and robust patient navigation, 56 as well as improvements to the quality of care (eg, providing adequate medication dose), 57,58 may be needed to increase rates of MOUD following hospitalization.…”
Section: Discussionmentioning
confidence: 84%
“…The sample size after applying all eligibility criteria was smaller than anticipated in the original power calculations, which may have contributed to lack of precision in estimates of the intervention effect. Medicaid data do not capture many details of care provided in the hospital (eg, receipt of CATCH services or orders for MOUD), and administrative data sources have limited and frequently missing data about patient characteristics, including race and ethnicity, that can influence MOUD treatment . Discharge diagnosis codes may not capture all cases of OUD, although our prior analysis found that Medicaid claims had a 90% sensitivity for detecting OUD in the study hospitals .…”
Section: Discussionmentioning
confidence: 95%
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