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South African Journal of Information Management
On-line version ISSN 1560-683X
Print version ISSN 2078-1865
Abstract
MOTSI, Lovemore and CHIMBO, Bester. Success factors for evidence-based healthcare practice adoption. SAJIM (Online) [online]. 2023, vol.25, n.1, pp.1-9. ISSN 1560-683X. http://dx.doi.org/10.4102/sajim.v25i1.1622.
BACKGROUND: Evidence-based health policies are widely acknowledged as being essential for attaining ongoing improvements in health outcomes. This study represents a theoretical model to test and identify to identify the key drivers for adopting evidence-based healthcare practice (EBHP OBJECTIVES: The goal of this study was to investigate the critical success factors for the adoption of evidence-based healthcare at a South African public hospital METHODS: Medical healthcare professionals were surveyed using a questionnaire developed by the researcher. The results were analysed with SPSS 23 and AMOS. A hypothetical model based on updated (D) IS Success Model, Technology, Organization and Environment framework (TOE) as well as Technology Acceptance Model (TAM) was developed and analysed using structural equation modelling (SEM RESULTS: The findings of this study indicate that EHR is crucial and the main construct influencing the adoption of EBHP. The findings of this study indicated a positive relationship between the construct electronic health records (EHR) with medical error reduction (MER), information quality (IQ) and knowledge quality (KQ), all showed a strong positive correlation towards the adoption of EBHP CONCLUSIONS: Better coordination of patient care (BCP) typically results in lower health care costs. The results also show that using EBHP improves the accuracy of disease diagnosis and treatment, which lowers the burden of disease CONTRIBUTION: The developed framework will help healthcare systems that are strapped for money, particularly in developing countries
Keywords : medical healthcare professionals; evidence-based healthcare practice (EBHP); better coordination of patient care (BCP); diagnosis and treatment of diseases; medical error reduction; information quality; knowledge quality.
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