ABSTRACT
Background: Countries in sub-Saharan Africa continue to face insufficient health education resources and facilities, as well as a severe shortage of health care professionals. In 2019, the Levy Mwanawasa Medical University (LMMU) in Lusaka was launched to address the shortage of healthcare professionals implementing a decentralized training model utilizing selected regional and district hospitals in Zambia as training sites for various cadres. Decentralization makes it more challenging to monitor the learning process as part of continuous assessment; consequently, adequate approaches are necessary to ensure the quality and quantity of medical skills training. Electronic logbooks (e-logbooks) provide a promising tool for monitoring and evaluation of the medical training process. Objective: We designed and implemented an e-logbook for Medical Licentiate students based on an existing software system. We evaluated the feasibility of this e-logbook, its acceptability among a cohort of Medical Licentiate students and their mentors, as well as its facilitators and barriers. Materials and methods: During the course of a five-week-long clinical rotation in a training site in Kabwe, Zambia, two mentors and ten students participated in the pilot study and its evaluation. A mixed-methods approach utilized log-based usage data from the e-logbook web platform and conducted semi-structured in-depth interviews. Results: Overall, both students and mentors accepted e-logbooks as a means to monitor skills development in this context, indicating that e-logbooks are a feasible tool in this decentralized setting. Feedback pointed out that the design and software-induced terminology of the e-logbook posed usability issues. The complexity and greater time commitment (mentors used a web-based platform instead of an app) limited the e-logbook's potential. Conclusion: We conclude that there is acceptability of monitoring medical skill development through a tablet-based e-logbook. However, the e-logbook in its current form (based on an existing software system, with limited adaptation possibilities to the local context) was insufficient for the LMMU environment. Given that this was attributable to design flaws rather than technology issues or rejection of the e-logbook as a quality assessment tool in and of itself, we propose that the e-logbook be implemented in a co-design approach to better reflect the needs of students and mentors.
ABSTRACT
BACKGROUND: Diabetic ketoacidosis (DKA) is one of the commonly encountered diabetes mellitus emergencies. AIM: This study aimed at describing the clinical profiles and hospitalization outcomes of DKA patients at the University Teaching Hospital (UTH) in Lusaka, Zambia and to investigate the role of coma on mortality outcome. MATERIALS AND METHODS: This was a cross-sectional analytical study of hospitalized DKA patients at UTH. The data collected included clinical presentation, precipitating factors, laboratory profiles, complications, and hospitalization outcomes. Primary outcome measured was all-cause in-hospital mortality. RESULTS: The median age was 40 years. Treatment noncompliance was the single highest identified risk factor for development of DKA, followed by new detection of diabetes, then infections. Comatose patients were significantly younger, had lower baseline blood pressure readings, and higher baseline respiratory rates compared to noncomatose patients. In addition, comatose patients had higher baseline admission random blood glucose readings. Their baseline sodium and chloride levels were also higher. The prevalences of hypokalemia, hypernatremia, and hyperchloremia were also higher among comatose patients compared to noncomatose patients. Development of aspiration during admission with DKA, pneumonia at baseline, development of renal failure, and altered mental status were associated with an increased risk of mortality. Development of renal failure was independently predictive of mortality. CONCLUSION: The mortality rate from DKA hospitalizations is high at UTH. Treatment noncompliance is the single highest identifiable precipitant of DKA. Aspiration, development of renal failure, altered sensorium, and pneumonia at baseline are associated with an increased risk of mortality. Development of renal failure during admission is predictive of mortality.
