PMID- 32685601
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220415
IS  - 2327-2236 (Electronic)
IS  - 2326-697X (Print)
IS  - 2326-697X (Linking)
VI  - 7
IP  - 1
DP  - 2020
TI  - Disparities in Opioid Use Disorder Treatment Admissions.
PG  - 85-93
LID - 10.36469/jheor.2020.13266 [doi]
AB  - OBJECTIVES: The Cincinnati region has been at the epicenter of the nation's 
      unfolding opioid epidemic. The objectives of this study were twofold: (1) to 
      compare the Cincinnati region to the United States in length of time to obtain 
      treatment and planned medication-assisted therapy for the treatment for opioid 
      use disorder (OUD); and (2) to assess racial disparities within the Cincinnati 
      region in wait time and type of treatment. METHODS: The 2017 Treatment Episode 
      Data Set: Admissions (TEDS-A) from the Substance Abuse and Mental Health Services 
      Administration (SAMHSA) was used to identify a cohort of eligible individuals 
      with a primary substance use of opioids, including opioid derivatives. Logistic 
      regression models were performed to assess the differences for treatment wait 
      time and type of planned treatment. Model covariates included patient 
      demographics and socioeconomic characteristics. Three different models were 
      performed to assess the influence of covariates of the outcomes. RESULTS: There 
      were 678 766 US and 3298 Cincinnati region individuals admitted for OUD treatment 
      in 2017. The rate per 1000 for treatment admissions was 2.08 and 1.51 (P value < 
      0.0001) for the United States and Cincinnati, respectively. The fully saturated 
      regression results found that the odds of Cincinnati individuals receiving 
      planned medication-assisted therapy were 0.497 (95% CI, 0.451-0.546; P value < 
      0.001). The odds of waiting longer for treatment in Cincinnati were higher than 
      in the United States as a whole: 2.33 (95% CI, 2.19-2.48; P value < 0.001). In 
      Cincinnati, there were 3102 Caucasian, 123 African American, and 73 Other 
      admissions. The fully saturated model results found that Caucasians and Other had 
      an increased likelihood of receiving planned medicationassisted therapy (OR 1.89, 
      P value 0.039; OR 7.07, P value 0.002, respectively) compared to African 
      Americans. Within Cincinnati, there was not a statistically significant 
      difference in the likelihood of waiting time to receive treatment by race. 
      CONCLUSION: Individuals seeking treatment for OUD in Cincinnati were less likely 
      to receive planned medication-assisted therapy and were more likely to wait 
      longer than individuals in the United States as a whole. These results suggest 
      that the demand for treatment is greater than the supply in Cincinnati. Within 
      Cincinnati, there does not appear to be a racial disparity in treatment type or 
      length of time to receive treatment for OUD.
FAU - Mallow, Peter J
AU  - Mallow PJ
AD  - Xavier University, Cincinnati, Ohio.
FAU - Mercado, Michael
AU  - Mercado M
AD  - Xavier University, Cincinnati, Ohio.
FAU - Topmiller, Michael
AU  - Topmiller M
AD  - HealthLandscape, LLC, Cincinnati, Ohio.
AD  - American Academy of Family Physicians, Cincinnati, Ohio.
LA  - eng
PT  - Journal Article
DEP - 20200622
PL  - United States
TA  - J Health Econ Outcomes Res
JT  - Journal of health economics and outcomes research
JID - 101648581
PMC - PMC7343341
OTO - NOTNLM
OT  - Cincinnati
OT  - Treatment Episode Data Set: Admissions (TEDS-A)
OT  - disparities
OT  - opioid use disorder (OUD)
COIS- Competing Interests The authors declare that they have no competing interests to 
      report with respect to this research.
EDAT- 2020/07/21 06:00
MHDA- 2020/07/21 06:01
PMCR- 2020/06/22
CRDT- 2020/07/21 06:00
PHST- 2020/04/22 00:00 [received]
PHST- 2020/05/18 00:00 [accepted]
PHST- 2020/07/21 06:00 [entrez]
PHST- 2020/07/21 06:00 [pubmed]
PHST- 2020/07/21 06:01 [medline]
PHST- 2020/06/22 00:00 [pmc-release]
AID - jheor-7-1-13266 [pii]
AID - 10.36469/jheor.2020.13266 [doi]
PST - epublish
SO  - J Health Econ Outcomes Res. 2020 Jun 22;7(1):85-93. doi: 
      10.36469/jheor.2020.13266. eCollection 2020.