Objectives: This study is an adaptation of the widely used DeLone and McLean information system success model in the context of hospital information systems in a developing country.
Methods: A survey research design was adopted in the study. A structured questionnaire was used to collect data from 442 health information management personnel in five Nigerian teaching hospitals. A structural equation modeling technique was used to validate the model's constructs.
Results: It was revealed that significantly influenced (β = 0.53, < 0.001) and (β = 0.17, < 0.001). significantly influenced (β = 0.24, < 0.001) and (β = 0.17, < 0.001). Also, significantly influenced (β = 0.22, < 0.001) and (β = 0.51, < 0.001). However, did not significantly influence (β = 0.00, > 0.05), but it significantly influenced (β = 0.21, < 0.001). Furthermore, did not significantly influence (β = 0.00, > 0.05).
Conclusions: The study validates the DeLone and McLean information system success model in the context of a hospital information system in a developing country. Importantly, and use were found to be important measures of hospital information system success. It is, therefore, imperative that hospital information systems are designed in such ways that are easy to use, flexible, and functional to serve their purpose.
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http://dx.doi.org/10.4258/hir.2017.23.1.60 | DOI Listing |
Methods Inf Med
January 2025
Clients and Services in Healthcare and Social Welfare, Ministry of Social Affairs and Health, Helsinki, Finland.
Background The aim of the national healthcare quality registers is to monitor, assess, and improve the quality of care. The information utilized in quality registers must be of high quality to ensure that the information produced by the registers is reliable and useful. In Finland, one of the key sources of information for the quality registers is the national Kanta services.
View Article and Find Full Text PDFJMIR Med Inform
October 2024
Department of Information Systems, University of South Africa, Johannesburg, South Africa.
Background: Medical errors are becoming a major problem for health care providers and those who design health policies. These errors cause patients' illnesses to worsen over time and can make recovery impossible. For the benefit of patients and the welfare of health care providers, a decrease in these errors is required to maintain safe, high-quality patient care.
View Article and Find Full Text PDFJMIR Nurs
September 2024
Department of Health and Nursing Science, University of Agder, Kristiansand, Norway.
Background: Nursing students' learning during clinical practice is largely influenced by the quality of the guidance they receive from their nurse preceptors. Students that have attended placement in nursing home settings have called for more time with nurse preceptors and an opportunity for more help from the nurses for reflection and developing critical thinking skills. To strengthen students' guidance and assessment and enhance students' learning in the practice setting, it has also been recommended to improve the collaboration between faculties and nurse preceptors.
View Article and Find Full Text PDFHeliyon
June 2024
College of Digital Transformation, Faculty of Computer Science, Dalhousie University, Halifax, Canada.
Throughout the COVID-19 pandemic, China effectively contained the virus, resulting in increased public trust in the government. Mobile government (mGovernment) applications (apps) played a critical role in this improvement. This study aims to examine how mGovernment apps build citizens' trust in governments during public crises.
View Article and Find Full Text PDFBMC Infect Dis
June 2024
Ivey Business School, Western University, London, ON, Canada.
Background: This study aimed at validating the updated DeLone and McLean's information systems success model (D&MISS) in a developing country's infectious disease pandemic preparedness and response context. The findings from this study are relevant to inform policies and actions for enhancing developing countries' the Health Information System's (HIS) performance, and specifically to improve their future pandemic readiness and response. The study sought to respond to a key research question: to what extent can the D&MISS model provide evidence to enhance the HIS's infectious disease pandemic readiness and response in developing countries?
Method: A cross-sectional study design that involved a multi-stage probability sampling approach to select eligible healthcare workers was applied.
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