Information quality measurement model of diabetes management in primary healthcare: Confirmatory factor analysis

Abstract

ABSTRACT Noninsulin-Dependent-Diabetes-Mellitus (NIDDM) requires immediate treatment in primary healthcare to prevent early complications and reduce the economic burden on the health system and society. The application of supply chain management in health services has been proven effective, especially in logistics. However, information sharing that is essential for successful NIDDM management programs in primary healthcare has not received much attention. The novelty of this study is to utilize information supply chain principles for effective NIDDM management, as an approach to improve diabetes care. This study brought in instruments information supply chain that can be used to evaluate the information quality of NIDDM management. The primary data collection was conducted among all 104 physicians from 45 primary healthcare centers who have used the information for NIDDM management. A Confirmatory Factor Analysis (CFA) was conducted to test the final model's suitability. The results showed that the question items from the three factors tested were valid. The invariant test demonstrated the goodness of fit test results (GFI = 0.931, CFI = 0.964, RMSEA = 0.069). Based on the result, it can be concluded that the hypothetical model is suitable for the final size model. The relationship between items and factors is appropriate for assessing the NIDDM primary healthcare information supply chain model.