Success factors for evidence-based healthcare practice adoption

• Published in: South African journal of information management Vol. 25; no. 1; pp. 1 - 9
• Main Authors: Motsi, Lovemore, Chimbo, Bester
• Format: Journal Article
• Language: English
• Published: Cape Town African Online Scientific Information Systems (Pty) Ltd t/a AOSIS 2023; AOSIS (Pty) Ltd; AOSIS Publishing; AOSIS
• Subjects: better coordination of patient care (bcp); Computer Science, Information Systems; Decision making; diagnosis and treatment of diseases; Electronic health records; Electronic records; evidence-based healthcare practice (ebhp); Evidence-based medicine; Health care industry; Health care reform; Hilario, Maybyner (Nene); Hospitals; Hypotheses; Information management; information quality; Information Science & Library Science; Information systems; Internet of Things; Knowledge management; knowledge quality; Medical care; medical error reduction; Medical errors; medical healthcare professionals; Medical personnel; Medical policy; Medical records; Medical technology; Patients; Physicians; Quality management; Success factors; Technology Acceptance Model; Technology adoption; Usability; South Africa; diagnosis and treatment of diseases; information quality; knowledge quality; medical error reduction; medical healthcare professionals; evidence-based healthcare practice (EBHP); better coordination of patient care (BCP)
• ISSN: 2078-1865; 1560-683X; 1560-683X
• DOI: 10.4102/sajim.v25i1.1622

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). 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. 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&M) 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). 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. 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.