Impacts of Demographic Factors in Shaping Healthcare Professionals’ Perception and Adoption of Predictive Analytics in Ghanaian Hospital Settings (Published)
This study investigated the impact of demographic factors; specifically, age, gender, job experience and job title on health professionals’ perception and adoption of predictive analytics in Ghanaian hospital settings. Employing a descriptive survey design, the research targeted three hospitals within the Catholic Diocese of Goaso: St. John of God Hospital, St. Elizabeth Hospital, and St. Edward Hospital. A purposive sampling technique was used to select 90 participants, comprising Clinical and Administrative staff, including Doctors, Nurses, IT personnel, and Health Information Officers. Data were collected using a structured web-based questionnaire and analyzed through logistic regression and multicollinearity testing using standard statistical software. The findings revealed that gender was a significant predictor of adoption, with male healthcare professionals being over twice as likely to adopt predictive analytics as their female counterparts. Other demographic variables, such as age, job title, and years of experience, were not statistically significant. While the presence of IT infrastructure and effective data management systems supported adoption, they were not standalone predictors. The analysis also showed strong model robustness, with high sensitivity and overall classification accuracy. It is therefore recommended that, a universal inclusive training strategy should be adopted to bridge demographic gaps, particularly for less experienced and female staff to foster a culture of innovation focused on improving patient outcomes.
Keywords: Demographic Factors, digital health, healthcare professionals, hospital settings, predictive analytics, technology adoption