Thure Katie A, Mutamba Glodi, Wren Callyn M, Evans Christopher D
Healthcare-Associated Infections and Antimicrobial Resistance, Tennessee Department of Health, Nashville, TN 37243, USA.
Antibiotics (Basel). 2025 Jun 1;14(6):569. doi: 10.3390/antibiotics14060569.
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. : 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. : 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. : 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.
2022年,美国开出了超过2亿份门诊抗生素处方,其中30%被认为是不必要的。先前的研究表明,年龄、性别和种族等人口因素会影响抗生素的处方模式。然而,很少有研究探讨健康的社会决定因素如何导致抗生素处方中的健康不平等。本研究旨在利用艾昆纬(IQVIA)的数据探索田纳西州的这些差异。:田纳西州卫生部利用艾昆纬的LRx和Dx数据库进行了一项横断面研究,将2022年的处方数据与诊断结果相联系。抗生素处方根据适宜性分为三个等级。一个多变量逻辑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。:在分析的2874505份处方中,59.3%被归类为不适当(第3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。与拥有私人保险的患者相比,医疗补助和医疗保险D部分的受益人接受不适当抗生素的几率更高。:本研究突出了田纳西州门诊抗生素处方中存在的显著健康差异。男性患者、老年人和社会经济脆弱地区的个人更有可能接受不适当的处方。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并解决潜在的健康不平等问题,最终改善医疗保健结果并减少抗菌药物耐药性。