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Application of loglinear modelling to inpatient data for temporomandibular joint disorder claimants

机译:对数线性建模在颞下颌关节疾病索赔人住院数据中的应用

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The primary purpose of this paper was to demonstrate the application of loglinear modelling to the analysis of inpatient hospital claims data for TMD claimants. The database of a major medical insurer was used to study 1,819 patients who were diagnosed and treated for TMD along with their Non-TMD matches. Using loglinear modelling, it was found that Major Diagnostic Categories and TMD were not independent variables. Further, three categories were significantly related to patients with TMD: 'Neoplasm' and 'Pregnancy' showed a significant inverse relationship while 'Digestive System' showed a significant direct relationship. These findings provide healthcare providers with a better understanding of TMD and its relationship to disorders that lead to patient hospitalization. [References: 11]
机译:本文的主要目的是证明对数线性模型在TMD索赔人的住院医院索赔数据分析中的应用。一家主要医疗保险公司的数据库用于研究1,819名被诊断和治疗过TMD的患者及其非TMD匹配项。使用对数线性建模,发现主要诊断类别和TMD不是独立变量。此外,与TMD患者明显相关的三个类别:“肿瘤”和“妊娠”显示出显着的反比关系,而“消化系统”显示出显着的直接关系。这些发现为医疗保健提供者更好地了解了TMD及其与导致患者住院的疾病之间的关系。 [参考:11]

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