Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Division of Emergency Medicine, University of Cape, Cape Town, South Africa.
Published: March 2021
AI Article Synopsis
Article Abstract
Background: Uganda experiences a high morbidity and mortality burden due to conditions amenable to emergency care, yet few public hospitals have dedicated emergency units. As a result, little is known about the costs and effects of delivering lifesaving emergency care, hindering health systems planning, budgeting and prioritization exercises. To determine healthcare costs of emergency care services at public facilities in Uganda, we estimate the median cost of care for five sentinel conditions and 13 interventions.
Methods: A direct, activity-based costing was carried out at five regional referral hospitals over a four-week period from September to October 2019. Hospital costs were determined using bottom-up micro-costing methodology from a provider perspective. Resource use was enumerated via observation and unit costs were derived from National Medical Stores lists. Cost per condition per patient and measures of central tendency for conditions and interventions were calculated. Kruskal-Wallis H-tests and Nemyeni post-hoc tests were conducted to determine significant differences between costs of the conditions.
Results: Eight hundred seventy-two patient cases were captured with an overall median cost of care of $15.53 USD ($14.44 to $19.22). The median cost per condition was highest for post-partum haemorrhage at $17.25 ($15.02 to $21.36), followed by road traffic injuries at $15.96 ($14.51 to $20.30), asthma at $15.90 ($14.76 to $19.30), pneumonia at $15.55 ($14.65 to $20.12), and paediatric diarrhoea at $14.61 ($13.74 to $15.57). The median cost per intervention was highest for fracture reduction and splinting at $27.77 ($22.00 to $31.50). Cost values differ between sentinel conditions (p < 0.05) with treatments for paediatric diarrhoea having the lowest median cost of all conditions (p < 0.05).
Conclusion: This study is the first to describe the direct costs of emergency care in hospitals in Uganda by observing the delivery of clinical services, using robust activity-based costing and time motion methodology. We find that emergency care interventions for key drivers of morbidity and mortality can be delivered at considerably lower costs than many priority health interventions. Further research assessing acute care delivery would be useful in planning wider health care delivery systems development.
