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The influence of payer mix and visit volume on NRMP match rates for community-based family medicine residency programs.

机译:基于社区的家庭医学住院医师计划的付款人组合和访问量对NRMP匹配率的影响。

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BACKGROUND: With declining U.S. medical student interest in family medicine, it is important to study factors that may predict for individual residency program fill rates. Predictors of family medicine residency program match rates are few, with location by region of the country being the best predictor. Using a limited database, this study evaluated whether community-based residency program match rates are associated with patient visit volume and payer status. METHODS: An existing database of characteristics of 42 community-based family medicine residency programs was analyzed for associations of match rate with patient visit volume and with insurance payer status. RESULTS: Nonsignificant correlations were calculated for match rate with the following factors: patient visit volume per provider, percentage of patient visits with no insurance or with Medicaid payment, percentage of visits with Medicare payment, and percentage of visits with private third party payers. A marginal negative association of match rate with percentage of patient visits with Medicare payment was not significant when adjusted for region of the country. CONCLUSIONS: In this study, neither patient visit volume nor payer status were predictive of match rate for community-based family medicine residency programs. Limitations to this study are acknowledged.
机译:背景:随着美国医学生对家庭医学的兴趣下降,重要的是研究可预测个人住院计划完成率的因素。家庭医学住院医师计划匹配率的预测因素很少,按国家/地区划分的位置是最佳预测因素。使用有限的数据库,本研究评估了基于社区的居住计划匹配率是否与患者就诊量和付款人状态相关联。方法:分析了一个现有的数据库,该数据库具有42个基于社区的家庭医学住院医师程序的特征,以将匹配率与患者就诊量和保险付款人身份相关联。结果:计算出的匹配率与以下因素之间无显着相关性:每个提供者的患者就诊量,无保险或有医疗补助的患者就诊的百分比,有医疗保险的患者就诊的百分比以及与私人第三方支付者的就诊百分比。调整该国家/地区后,匹配率与患者就诊百分比与Medicare付款之间的边际负相关性并不显着。结论:在这项研究中,患者访视量和付款人状态均不能预测基于社区的家庭医学住院医师计划的匹配率。承认这项研究的局限性。

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