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Analysis of Opioid Poisoning in Medically Underserved Rural Areas: An Evaluation of International Statistical Classification of Diseases Codes from the State of South Dakota| Abstract
ISSN: 2155-6105

Journal of Addiction Research & Therapy
Open Access

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  • Research Article   
  • J Addict Res Ther 496,

Analysis of Opioid Poisoning in Medically Underserved Rural Areas: An Evaluation of International Statistical Classification of Diseases Codes from the State of South Dakota

Ahmed Nahian* and Jewel Goodman Shepherd
1Center of Brain and Behavior Research, University of South Dakota, 901 Rose St. Apt 133-A, Vermillion, SD 57069, U.S.A
2University of South Dakota, 414 E. Clark St. Vermillion, SD 57069, U.S.A
*Corresponding Author : Ahmed Nahian, Center of Brain and Behavior Research, University of South Dakota, 901 Rose St. Apt 133-A, Vermillion, SD 57069, U.S.A, Email: ahmed.nahian@usd.edu

Received Date: Sep 06, 2022 / Accepted Date: Oct 10, 2022 / Published Date: Oct 14, 2022

Abstract

Background: Rural hospitals and patient population tend to be medically underserved. The states with more rural population dispensed the most opioids per person in the last 10 years. We aimed to explore if rurality contributed to the likelihood of higher opioid adversity and how it affected substance-use rehabilitation in federally designated Medically Underserved Areas (MUAs).

Methods: We analyzed data dispensed by the South Dakota Department of Health (DOH) on opioid-led poisoning International Classification of Disease (ICD) codes that were active within the state in the last decade. After locating MUA rural and partially rural counties, we cross profiled the counties to the state datasets. Assessments were conducted using the PROC SURVEY methods in SAS version 9.3 (SAS Institute) and checked for multicollinearity with the Belsley-Kuh-Welsch technique. Finally, we used the American Hospital Association (AHA) database for analyzing substance use rehabilitation availability on per hospital basis.

Results: The chi-square statistic for comparing opioid codes against non-opioid codes distributed among three categories, rural, non-rural, and partially rural was significant at the limit of p <0.05. 81.134% of opioid-led poisoning codes were activated in a rural county. Only four hospitals had substance-use rehabilitation, three of which were in a non-rural area. More people from the teenage and early-adulthood years (10-19) were prone to opioid usage.

Conclusions: Rural counties in South Dakota were more likely to dispense opioid care and not have access to rehabilitation. We also found that as the opioid dispensing rate at hospitals within a state decreased as the state had less rural counties. Introducing public programs to train more physicians and cutting down cost of non-opioid based care may lower opioid distribution and increase rehabilitation options in rural hospitals.

Citation: Nahian A, Shepherd JG (2022) Analysis of Opioid Poisoning in Medically Underserved Rural Areas: An Evaluation of International Statistical Classification of Diseases Codes from the State of South Dakota. J Addict Res Ther 13: 496.

Copyright: © 2022 Nahian A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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