牙医医疗补助管理性护理组织之间牙医参与情况的差异。

Pamela C Nwachukwu, Peter C Damiano, Steven Levy, James C Thomas, Dan Shane, Astha Singhal, Shareef M Dabdoub, Julie C Reynolds
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摘要

目标:牙医参与医疗补助计划(Medicaid)是影响医疗补助计划受益人获得牙科保健服务的一个关键因素。现有文献中的一个重要空白是,在有多个医疗补助牙科管理护理组织(MCOs)的州中,不同医疗补助牙科管理护理组织的参与情况存在差异。本研究考察了爱荷华州牙科医疗补助项目中两个 MCO 之间参与度的总体差异以及牙医参与度的预测因素:数据来自对爱荷华州私人执业牙医(n = 1256)的调查。回复的普通牙医(n = 497)被纳入最终分析样本。我们进行了单变量、双变量和多变量逻辑回归分析,以研究与牙医参与(接受新的医疗补助患者)相关的人口统计学特征和执业特征:在受访者中,接受新的医疗补助成人患者的比例分别为 26%(MCO 1)和 7%(MCO 2);接受儿童患者的比例分别为 40%(MCO 1)和 11%(MCO 2)。就成人而言,太忙的牙医(MCO1)和单独执业的牙医(MCO2)与接受新病人呈显著正相关。对于儿童来说,集体和乡村执业牙医以及有结论的牙医与接受新病人呈正相关:在爱荷华州牙科医疗补助计划中,牙医报告的对成人和儿童医疗补助计划新患者的接受程度以及影响新患者接受程度的因素在不同的 MCO 之间存在很大差异。今后对医疗补助参与情况的研究应考虑在有一个以上牙科医疗补助组织的州中各医疗补助组织之间的差异,以免遗漏影响医疗补助参与情况的重要因素。
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Variation in dentist participation between dental medicaid managed care organizations.

Objectives: Dentists' Medicaid participation is a critical factor affecting dental care access for Medicaid beneficiaries. An important gap in existing literature is the variation in participation across Medicaid dental Managed Care Organizations (MCOs) in states with more than one. This study examined the variation in participation overall and in predictors of dentist participation between two MCOs in Iowa's Dental Medicaid program.

Methods: Data were obtained from a survey of Iowa private practice dentists (n = 1256). Responding general dentists (n = 497) were included in the final analytic sample. Univariate, bivariate, and multivariable logistic regression analyses were conducted to examine demographic and practice characteristics associated with dentist participation (acceptance of new Medicaid patients) between MCOs and by age category.

Results: Among respondents, the proportions accepting new adults with Medicaid were 26% (MCO 1) and 7% (MCO 2); for children, they were 40% (MCO 1) and 11% (MCO 2). For adults, dentists who were too busy (MCO1) and solo practice dentists (MCO2) were positively significantly associated with the acceptance of new patients. For children, group and rural practice dentists, as well as dentists who worked <32 h/week were positively significantly associated with acceptance of new patients with MCO1.

Conclusions: There was considerable variation in dentist-reported acceptance of new adult and child Medicaid patients, and in the factors affecting acceptance of new patients between MCOs in Iowa dental Medicaid. Future studies of Medicaid participation should consider variations by MCO in states with more than one dental MCO so as not to miss important factors affecting Medicaid participation.

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