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Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseases

机译:核技术在慢性疾病诊断和治疗中采用的因素分析

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OBJECTIVE: To identify and evaluate latent variables (variables that are not directly observed) for adopting and using nuclear technologies in diagnosis and treatment of chronic diseases. The measurement and management of these latent factors are important for healthcare due to complexities of the sector. METHODS: An exploratory factor analysis study was conducted among 52 physicians practicing in the areas of Cardiology, Neurology and Oncology in the State of Sao Paulo who agreed to participate in the study between 2009 and 2010. Data were collected using an attitude measurement questionnaire, and analyzed according to the principal component method with Varimax rotation. RESULTS: The component matrix after factor rotation showed three elucidative groups arranged according to demand for nuclear technology: clinical factors, structural factors, and technological factors. Clinical factors included questionnaire answers referring to medical history, previous interventions, complexity and chronicity of the disease. Structural factors included patient age, physician's practice area, and payment ability. Technological factors included prospective growth in the use of nuclear technology and availability of services. CONCLUSIONS: The clinical factors group dimension identified in the study included patient history, prior interventions, and complexity and chronicity of the disease. This dimension is the main motivator for adopting nuclear technology in diagnosis and treatment of chronic diseases.
机译:目的:确定和评估潜在变量(未直接观察到的变量),这些变量用于和使用核技术来诊断和治疗慢性病。由于该行业的复杂性,这些潜在因素的测量和管理对于医疗保健非常重要。方法:对在圣保罗州心脏病,神经病学和肿瘤学领域执业的52位医生进行了探索性因素分析研究,他们同意在2009年至2010年之间参加该研究。根据Varimax旋转的主成分法进行分析。结果:因子轮换后的成分矩阵显示了根据核技术需求排列的三个说明性组:临床因素,结构因素和技术因素。临床因素包括涉及病史,以前的干预措施,疾病的复杂性和慢性性的问卷调查答案。结构性因素包括患者年龄,医生的执业范围和支付能力。技术因素包括核技术使用和服务可用性的预期增长。结论:研究中确定的临床因素组维度包括患者病史,先前的干预措施以及疾病的复杂性和慢性性。这个方面是在慢性病的诊断和治疗中采用核技术的主要动力。

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