Quantitative Assessment of Surge Capacity in Rwandan Trauma Hospitals
A Survey Using the 4S Framework
Datos Bibliográficos
| ID | 15499669 |
|---|---|
| Autores | Lotta Velin (0000-0002-1929-6011, Linköping University, autor de correspondencia), Menelas Nkeshimana (0000-0003-3573-8075, Centre Hospitalier Universitaire de Kigali), Eric Twizeyimana (0009-0000-8672-3901, University of Global Health Equity), Didier Nsanzimfura (0009-0004-7192-8145, Centre Hospitalier Universitaire de Kigali), Andreas Wladis (0000-0003-4377-0892, Linköping University), Laura Pompermaier (0000-0001-6304-9686, Linköping University) |
| Año | 2025 |
| Volumen | 22 |
| Número | 10 |
| Páginas | 1559-1559 |
| Fecha de publicación | 2025-10-13 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | International Journal of Environmental Research and Public Health (JOURNAL) |
| Identificadores de la revista | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Editorial | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph22101559 |
| PMID | 41154963 |
| OpenAlex | W4415172672 |
| Idioma | EN |
| Referencias citadas | 28 |
Surge capacity is the ability to manage sudden patient influxes beyond routine levels and can be evaluated using the 4S Framework: staff, stuff, system, and space. While low-resource settings like Rwanda face frequent mass casualty incidents (MCIs), most surge capacity research comes from high-resource settings and lacks generalisability. This study assessed Rwanda's hospital surge capacity using a cross-sectional survey of emergency and surgical departments in all referral hospitals. Descriptive statistics, t -tests, Fisher's exact test, ANOVA, and linear mixed-model regression were used to analyze responses. Of the 39 invited participants, 32 (82%) responded. On average, respondents believed that they could manage 13 MCI patients (95% CI: 10-16) while maintaining routine care, with significant differences between tertiary and secondary hospitals (11 vs. 22; p = 0.016). The intra-class correlation was poor for most variables except for CT availability and ICU beds. Surge capacity perception did not vary significantly by professional category, though less senior staff reported higher capacity. Significantly higher capacity was reported by those with continuous access to imaging ( p < 0.01). Despite limited resources, Rwandan hospitals appear able to manage small to moderate MCIs. For larger incidents, patient distribution across facilities is recommended, with critical cases prioritized for tertiary hospitals
Capacity building · Cross-sectional study · Descriptive statistics · Mass-casualty incident · Needs assessment · Referral · Surge · Surge Capacity · Tertiary referral hospital · Disaster Response and Management · Global Maternal and Child Health · Trauma and Emergency Care Studies
Global Surgery 2030
Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (Dalys), and healthy life expectancy (Hale) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021
Research electronic data capture (Redcap)—A metadata-driven methodology and workflow process for providing translational research informatics support
A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research
Disease patterns and clinical outcomes of patients admitted in intensive care units of tertiary referral hospitals of Tanzania
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |