Technology-Related Factors Determining Electronic Requisition System Adoption Among Nurses at Coast General Teaching and Referral Hospital
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Abstract
Electronic Requisition Systems (ERS) are increasingly used by healthcare providers to enhance service delivery. Coast General Teaching and Referral Hospital (CGTRH) has embraced technology to promote efficiency. However, despite ERS availability, computer inadequacy and other factors have impeded full adoption. This study assessed technology-related factors determining ERS adoption among nurses at CGTRH and examined the moderating effect of user acceptance on the relationship between technology-related factors and ERS adoption. A mixed-methods research design was employed. The target population comprised 182 nurses, with a sample of 125 nurses selected through proportionate stratified sampling and 3 key informants purposively selected. Structured questionnaires and key informant interview guides were used for data collection. Quantitative data were analyzed using descriptive statistics, Pearson correlation, and hierarchical regression in SPSS version 26. Qualitative data were analyzed thematically. Before interacting technology factors with user acceptance, the relationship with ERS adoption was positive but insignificant (β = 0.102; p = 0.421). Upon introducing the interaction term (technology factors × user acceptance), the relationship became significant and positive (β = 0.187; p < 0.001), indicating a moderating effect. In the combined model, technology-related factors had a positive and significant relationship with ERS adoption (β = 0.553; p < 0.01). User acceptance also had a positive and significant relationship with ERS adoption (β = 0.209; p < 0.01). The study concludes that there was inconsistency in accessibility of high-speed internet, deficiency in necessary ERS hardware and software, and unavailability of functional computers for ERS purposes. The study recommends that reliable internet connectivity be provided through upgraded network infrastructure, routine network monitoring, and prompt technical support to minimize system downtime.
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