Assessing Disparities in Inappropriate Outpatient Antibiotic Prescriptions in Tennessee.

IF 4.3 2区 医学 Q1 INFECTIOUS DISEASES
Katie A Thure, Glodi Mutamba, Callyn M Wren, Christopher D Evans
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Abstract

Background/Objectives: In 2022, over 200 million outpatient antibiotic prescriptions were written in the U.S., with 30% deemed unnecessary. Previous studies have shown that demographic factors, such as age, gender, and race, influence antibiotic prescribing patterns. However, few studies have examined how social determinants of health contribute to health inequities in antibiotic prescribing. This study aims to explore these disparities in Tennessee using IQVIA data. Methods: The Tennessee Department of Health conducted a cross-sectional study using the IQVIA LRx and Dx databases, linking prescription data to diagnoses from 2022. Antibiotic prescriptions were categorized into three tiers based on appropriateness. A multivariable logistic regression model assessed factors such as age, gender, insurance type, and social vulnerability index (SVI) on antibiotic prescribing patterns. Results: Of 2,874,505 prescriptions analyzed, 59.3% were classified as inappropriate (Tier 3). Female patients and children were less likely to receive inappropriate antibiotics. Patients in lower SVI areas, indicating less social disadvantage, had lower odds of receiving unnecessary prescriptions. Medicaid and Medicare Part D beneficiaries had higher odds of receiving inappropriate antibiotics compared to those with private insurance. Conclusions: This study highlights significant health disparities in outpatient antibiotic prescribing in Tennessee. Male patients, older adults, and individuals in socioeconomically vulnerable areas are more likely to receive inappropriate prescriptions. These findings stress the need for targeted public health interventions to reduce unnecessary antibiotic use and address underlying health inequities, ultimately improving healthcare outcomes and reducing antimicrobial resistance.

评估田纳西州不适当门诊抗生素处方的差异。
背景/目的:2022年,美国开出了超过2亿张门诊抗生素处方,其中30%被认为是不必要的。先前的研究表明,人口因素,如年龄、性别和种族,会影响抗生素的处方模式。然而,很少有研究调查健康的社会决定因素如何导致抗生素处方中的卫生不公平。本研究旨在利用IQVIA数据探索田纳西州的这些差异。方法:田纳西州卫生部使用IQVIA LRx和Dx数据库进行了一项横断面研究,将处方数据与2022年的诊断联系起来。抗生素处方根据适宜性分为三层。多变量logistic回归模型评估了年龄、性别、保险类型和社会脆弱性指数(SVI)等因素对抗生素处方模式的影响。结果:在分析的2874505张处方中,59.3%的处方被归类为不合适(三级)。女性患者和儿童接受不适当抗生素的可能性较小。SVI较低地区的患者,表明社会劣势较小,接受不必要处方的几率较低。与拥有私人保险的人相比,医疗补助和医疗保险D部分受益人接受不适当抗生素的几率更高。结论:本研究突出了田纳西州门诊抗生素处方的显著健康差异。男性患者、老年人和社会经济脆弱地区的个人更有可能得到不适当的处方。这些发现强调需要有针对性的公共卫生干预措施,以减少不必要的抗生素使用和解决潜在的卫生不公平现象,最终改善卫生保健结果并减少抗菌素耐药性。
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来源期刊
Antibiotics-Basel
Antibiotics-Basel Pharmacology, Toxicology and Pharmaceutics-General Pharmacology, Toxicology and Pharmaceutics
CiteScore
7.30
自引率
14.60%
发文量
1547
审稿时长
11 weeks
期刊介绍: Antibiotics (ISSN 2079-6382) is an open access, peer reviewed journal on all aspects of antibiotics. Antibiotics is a multi-disciplinary journal encompassing the general fields of biochemistry, chemistry, genetics, microbiology and pharmacology. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of papers.
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