Browsing by Author "Tweheyo, Ronald"

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    Factors associated with longer hospital stay following caesarean section birth at a tertiary hospital in Eastern Uganda.
    (Research Square, 2025) Thaddeus, Jude Mulowooza; Tweheyo, Ronald; Babuya, Jonathan; Atuhairwe, Irene; Makoko, Brian Tonny; Waako, Paul; Twineamatsiko, Andrew; Agaba, Brian; Stephen, Obbo; Kavuma, Pontian Kiwanuka; Kibuule, Dan; Kayemba, Frank; Kagoya, Enid Kawala
    Background. Caesarean Section(C/S) is a lifesaving procedure for both the mother and the baby but it is associated with various post-operative complications and longer hospital stays. Prolonged Hospitalization after a Caesarean section can be stressful for both the healthcare providers and the mothers while also risking them acquiring hospital acquired infections. Factors related to longer hospital stays among mothers delivered by C/S have not been well explored. This study aimed to determine the factors associated with longer (> 4 days) hospital stay following Caesarean birth at Mbale Regional Referral Hospital. Methods This was a retrospective cross-sectional study carried out at Mbale Regional Referral Hospital (MRRH) between December 2023 and May 2024 accessed in June 2024. A total of 536 patient files of women who underwent Caesarean section were randomly selected and reviewed. Data on social demographics, obstetric characteristics and other surgical details including outcomes was extracted and recorded using an online data collection tool. Descriptive analysis to summarise the data and logistic regression to identify factors associated with longer hospital stays were done, and P-values < 0.05 significance level at a 95% confidence interval were considered. Results The mean hospital stay was 4.02 days (SD ± 2.87). Nearly half of the women (47.6%) were referred from other health facilities with most caesarean sections (70.9%) sanctioned by junior house officers. Preoperative prophylactic antibiotics were administered in 85.4% and spinal anaesthesia was used in 98.5% of the Csections. In multivariable analysis, lack of a complete blood count, vaginal preparation, intravenous fluids before surgery and a patient undergoing general anesthesia were significantly related to longer hospital stays. Conclusion Multiple factors are associated with longer hospital stays at Mbale Regional Referral Hospital. Improvement of evidence-based practices such as the intravenous fluids, vaginal preparation and basic laboratory investigations before surgery and use of spinal anesthesia can help to reduce hospital stay and its associated risks. Keywords: Caesarean section, longer hospital stay, postoperative complications
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    Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda : a cross-sectional study.
    (MedEdPublish, 2025) Mukunya, David; Nantale, Ritah; Kayemba, Frank; Ajalo, Elizabeth; Pangholi, Kennedy; Babuya, Jonathan; Akuu, Suzan Langoya; Namiiro, Amelia Margaret; Tweheyo, Ronald; Ekak, Steven; Nakitto, Brenda; Nantongo, Kirsten; Mpagi, Joseph Luwaga; Musaba, Milton W.; Oguttu, Faith; Kuteesa, Job; Mubuuke, Aloysius Gonzaga; Munabi, Ian Guyton; Kiguli, Sarah
    Background ChatGPT is a large language model that uses deep learning techniques to generate human-like texts. ChatGPT has the potential to revolutionize medical education as it acts as an interactive virtual tutor and personalized learning assistant. We assessed the use of ChatGPT and other Artificial Intelligence (AI) tools among medical faculty in Uganda. Methods We conducted a descriptive cross-sectional study among medical faculty at four public universities in Uganda from November to December 2023. Participants were recruited consecutively. We used a semi-structured questionnaire to collect data on participants’ sociodemographics and the use of AI tools such as ChatGPT. Our outcome variable was the use of ChatGPT and other AI tools. Data were analyzed in Stata version 17.0. Results We recruited 224 medical faculty, majority [75% (167/224)] were male. The median age (interquartile range) was 41 years (34–50). Almost all medical faculty [90% (202/224)] had ever heard of AI tools such as ChatGPT. Over 63% (120/224) of faculty had ever used AI tools. The most commonly used AI tools were ChatGPT (56.3%) and Quill Bot (7.1%). Fifty-six faculty use AI tools for research writing, 37 for summarizing information, 28 for proofreading work, and 28 for setting exams or assignments. Forty faculty use AI tools for nonacademic purposes like recreation and learning new skills. Faculty older than 50 years were 40% less likely to use AI tools compared to those aged 24 to 35 years (Adjusted Prevalence Ratio (aPR):0.60; 95% Confidence Interval (CI): [0.45, 0.80]). Conclusion The use of ChatGPT and other AI tools was high among medical faculty in Uganda. Older faculty (>50 years) were less likely to use AI tools compared to younger faculty. Training on AI use in education, formal policies, and guidelines are needed to adequately prepare medical faculty for the integration of AI in medical education. Keywords ChatGPT, medical faculty, Bing, Bard, Uganda, generative AI, medical education