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, Jewel Goodman Shepherd
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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.

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医疗服务不足的农村地区阿片类药物中毒分析:对南达科他州国际疾病统计分类代码的评价
背景:农村医院和患者群体往往得不到充分的医疗服务。过去10年,农村人口较多的州人均发放的阿片类药物最多。我们的目的是探讨农村是否导致了更高的阿片类药物逆境的可能性,以及它如何影响联邦指定的医疗服务不足地区(MUAs)的药物使用康复。方法:我们分析了南达科他州卫生部(DOH)分发的关于阿片类药物导致中毒的国际疾病分类(ICD)代码的数据,这些代码在过去十年中在该州活跃。在确定了MUA农村和部分农村县之后,我们将这些县与州数据集进行了交叉分析。使用SAS 9.3版(SAS Institute)的PROC SURVEY方法进行评估,并使用Belsley-Kuh-Welsch技术检查多重共线性。最后,我们使用美国医院协会(AHA)数据库分析每个医院的药物使用康复可用性。结果:比较分布在农村、非农村和部分农村三种类型的阿片类药物代码与非阿片类药物代码的卡方统计量在p的限度下具有显著性。结论:南达科他州农村县更有可能提供阿片类药物护理,并且无法获得康复。我们还发现,一个州内医院的阿片类药物配药率随着该州农村县的减少而下降。引入公共项目,培训更多的医生并降低非阿片类药物护理的成本,可能会降低阿片类药物的分布,并增加农村医院的康复选择。
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