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The numeracy understanding in medicine instrument: A measure of health numeracy developed using item response theory

机译:医学仪器中的数字理解:使用项目反应理论开发的一种健康数字测量方法

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Background: Health numeracy can be defined as the ability to understand and apply information conveyed with numbers, tables and graphs, probabilities, and statistics to effectively communicate with health care providers, take care of one's health, and participate in medical decisions. Objective: To develop the Numeracy Understanding in Medicine Instrument (NUMi) using item response theory scaling methods. Design: A 20-item test was formed drawing from an item bank of numeracy questions. Items were calibrated using responses from 1000 participants and a 2-parameter item response theory model. Construct validity was assessed by comparing scores on the NUMi to established measures of print and numeric health literacy, mathematic achievement, and cognitive aptitude. Participants: Community and clinical populations in the Milwaukee and Chicago metropolitan areas. Results: Twenty-nine percent of the 1000 respondents were Hispanic, 24% were non-Hispanic white, and 42% were non-Hispanic black. Forty-one percent had no more than a high school education. The mean score on the NUMi was 13.2 (s = 4.6) with a Cronbach of 0.86. Difficulty and discrimination item response theory parameters of the 20 items ranged from 1.70 to 1.45 and 0.39 to 1.98, respectively. Performance on the NUMi was strongly correlated with the Wide Range Achievement Test-Arithmetic (0.73, P < 0.001), the Lipkus Expanded Numeracy Scale (0.69, P < 0.001), the Medical Data Interpretation Test (0.75, P < 0.001), and the Wonderlic Cognitive Ability Test (0.82, P < 0.001). Performance was moderately correlated to the Short Test of Functional Health Literacy (0.43, P < 0.001). Limitations: The NUMi was found to be most discriminating among respondents with a lower-than-average level of health numeracy. Conclusions: The NUMi can be applied in research and clinical settings as a robust measure of the health numeracy construct.
机译:背景:健康计算能力可以定义为理解和应用通过数字,表格和图表,概率和统计信息传达的信息的能力,以与医疗保健提供者有效地沟通,照顾自己的健康并参与医疗决策。目的:使用项目反应理论定标方法发展对医学仪器的理解能力(NUMi)。设计:从一个数字题库中抽取20个项目进行测试。使用1000名参与者的回答和2参数项​​目回答理论模型对项目进行校准。通过将NUMi上的分数与印刷和数字健康素养,数学成绩和认知能力的既定指标进行比较,评估构建体的有效性。参与者:密尔沃基和芝加哥市区的社区和临床人群。结果:在1000名受访者中,有29%为西班牙裔,非西班牙裔白人为24%,非西班牙裔黑人为42%。 41%的人只接受过高中教育。 NUMi的平均得分为13.2(s = 4.6),Cronbach值为0.86。这20个项目的难度和歧视项目响应理论参数分别从1.70到1.45和0.39到1.98。 NUMi上的性能与广泛成就测试算法(0.73,P <0.001),Lipkus扩展算术量表(0.69,P <0.001),医学数据解释测试(0.75,P <0.001)和相关性密切相关奇妙认知能力测验(0.82,P <0.001)。表现与功能性健康素养短期测验有一定相关性(0.43,P <0.001)。局限性:发现NUMi在健康计算水平低于平均水平的受访者中最有区别。结论:NUMi可以在研究和临床环境中应用,可以作为衡量健康计算能力的可靠方法。

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