P-10 Prospective study of limited high-dependency unit space on emergency patient outcomes in Guyana
Author(s):
N Harris , D Kellman , O Bertilla Chinyere , I Zechariah , M Ayodele
Year of Presentation:
2026
Objective: To evaluate the impact of limited space in the
HDU on patient outcomes in emergency care. Furthermore,
the study aims to identify factors contributing to space limitations and provide recommendations to improve patient
care and outcomes despite spatial constraints.
Methods: This prospective study included 116 patients admitted to the HDU from the A&E Department and 60 medical personnel. Patient demographics, admission details, bed availability, and outcomes were collected using a data collection tool developed by the team. Challenges and staff suggestions were collected through an online survey.
Results: The mean age of patients was 48 years, with a female-to-male ratio of approximately 1:1.2. Comorbidities were prevalent in 64.7% of patients, with hypertension and type 2 diabetes mellitus being the most common. A critical supply-demand mismatch was identified with accumulated bed demand (193) exceeding availability (43) (or demand 4.49 times higher than what was available). Consequently, 85.3% (N=99) of patients experienced “boarding” delays in the A&E, and only 37.1% (N=43) were successfully transferred to the HDU. While the overall mortality rate was 29.3% (N=34), no statistically significant association was found between successful HDU transfer and survival (p=0.867) Survey responses indicated significant concerns about inadequate HDU space, staffing, and patient flow management and offered actionable recommendations with emerging themes.
Conclusion: GPHC faces a systemic resource deficit where infrastructure limitations force a reliance on human resilience to maintain patient safety. While compensatory care currently masks mortality risks, the system could reach a critical “tipping point.” Survey responses revealed a consensus on the need for enhanced HDU space, increased staffing, and better patient flow management.