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

• Main Authors: Cheah, Whye Lian, Dhesi Baha, Raja Selva Raja, Anselm, Su Ting
• Format: Article
• Language: English
• Published: "Iuliu Haţieganu" Publishing House 2020
• Subjects: RA0421 Public health. Hygiene. Preventive Medicine; RZ Other systems of medicine
• Online Access: http://ir.unimas.my/id/eprint/32717/1/Evaluation%20%20of%20%20I-Kelahiran%2C%20%20A%20%20Health%20%20Informatics%20%20System%20%20in%20Sabah%20%20%20State%20%20%20Health%20%20%20Department%20%E2%80%93A%20%20%20Structural%20%20%20Equation%20Modeling_PDF.pdf; http://ir.unimas.my/id/eprint/32717/; https://search.proquest.com/docview/2401830793?pq-origsite=gscholar&fromopenview=true
• Institution: Universiti Malaysia Sarawak

I-Kelahiran (Inovasi-Kelahiran) is a health informatics system that manages birth and immunisation data, developed and implemented in Sabah to address birth discrepancy, delayed reporting of high-risk pregnancy, and immunization coverage. This study aimed to evaluate the conceptual framework and the factors that determine the information system success of I-Kelahiran among the nurses in the Sabah State Health Department. It was a cross-sectional web-based study, conducted in 21 hospitals and 292 health clinics. A total of 1.200 nurses participated, with a mean age of 31.96 years (SD=7.761) and the majority of them were community nurses. About 93.8% of them had good computer literacy. Individual Impact (p=0.011) and Organizational Impact (p=0.0019) were seen to have significant association towards the nurse's place of work, and computer literacy had a significant association towards organizational impact (p=0.046). A structural equation modeling indicated that only perceived ease of use & importance of system are good predictors in outcome evaluation of I-Kelahiran while Individual Impact & Effectiveness are good domains to measure the overall outcome of 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 needed to study the complex external factors that lead to this information success model in Malaysia