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Evaluation of I-Kelahiran, A Health Informatics System In Sabah State Health Department – A Structural Equation Modeling

机译:Sabah国家卫生部卫生信息系统I-Kelahiran评估 - 一种结构方程模型

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I-Kelahiran (Inovasi-Kelahiran) is a health informatics system that manages birth and immunisationdata, developed and implemented in Sabah to address birth discrepancy, delayed reporting of highrisk pregnancy, and immunization coverage. This study aimed to evaluate the conceptual frameworkand the factors that determine the information system success of I-Kelahiran among the nurses inthe Sabah State Health Department. It was a cross-sectional web-based study, conducted in 21hospitals and 292 health clinics. A total of 1.200 nurses participated, with a mean age of 31.96 years(SD=7.76) and the majority of them were community nurses. About 93.8% of them had goodcomputer literacy. Individual Impact (p=0.011) and Organizational Impact (p=0.0019) were seen tohave significant association towards the nurse's place of work, and computer literacy had a significantassociation towards organizational impact (p=0.046). A structural equation modeling indicated thatonly perceived ease of use & importance of system are good predictors in outcome evaluation of IKelahiran while Individual Impact & Effectiveness are good domains to measure the overall outcomeof I-Kelahiran (Chi-Square/df=2.850, Comparative Fit Index [CFI]= 0.991, Tucker-Lewis Index[TLI]= 0.989, Root Mean Square Error of Approximation [RMSEA]= 0.939). Future study is neededto study the complex external factors that lead to this information success model in Malaysia.
机译:I-Kelahiran(Inovasi-Kelahiran)是一个健康信息系统,用于在沙巴中制定和实施的生育和免疫系统,以解决诞生差异,延迟高次妊娠和免疫报告。本研究旨在评估概念框架,确定苏州卫生部护士中I-Kelahiran信息系统成功的因素。它是在21小时和292个健康诊所进行的基于横截面的基础研究。共有1.200名护士参加,平均年龄为31.96岁(SD = 7.76),其中大多数是社区护士。大约93.8%的人有很好的计算机识字。个人影响(P = 0.011)和组织影响(P = 0.0019)被视为对护士的工作地点进行了重大关联,计算机素养对组织影响有重大化(P = 0.046)。结构方程模型表明,在Ikelahiran的成果评估中,对系统的使用和重要性的易用性,而个性的影响和有效性是衡量I-Kelahiran的整体落后(Chi-Squess / DF = 2.850,比较适合指数的良好域[CFI] = 0.991,Tucker-Lewis指数[TLI] = 0.989,近似的根均方误差[RMSEA] = 0.939)。未来的研究是为了研究马来西亚的这种信息成功模型的复杂外部因素。

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