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Two simple replacements for the Triage Early Warning Score to facilitate the South African Triage Scale in low resource settings

BACKGROUND: The South African Triage Scale (SATS) requires the calculation of the Triage Early Warning Score (TEWS), which takes time and is prone to error. AIM: to derive and validate triage scores from a clinical database collected in a low-resource hospital in sub-Saharan Africa over four years a...

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Detalles Bibliográficos
Autores principales: Wasingya-Kasereka, Lucien, Nabatanzi, Pauline, Nakitende, Immaculate, Nabiryo, Joan, Namujwiga, Teopista, Kellett, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: African Federation for Emergency Medicine 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806646/
https://www.ncbi.nlm.nih.gov/pubmed/33489734
http://dx.doi.org/10.1016/j.afjem.2020.11.007
Descripción
Sumario:BACKGROUND: The South African Triage Scale (SATS) requires the calculation of the Triage Early Warning Score (TEWS), which takes time and is prone to error. AIM: to derive and validate triage scores from a clinical database collected in a low-resource hospital in sub-Saharan Africa over four years and compare them with the ability of TEWS to triage patients. METHODS: A retrospective observational study carried out in Kitovu Hospital, Masaka, Uganda as part of an ongoing quality improvement project. Data collected on 4482 patients was divided into two equal cohorts: one for the derivation of scores by logistic regression and the other for their validation. RESULTS: Two scores identified the largest number of patients with the lowest in-hospital mortality. A score based on oxygen saturation, mental status and mobility had a c statistic for discrimination of 0.83 (95% CI 0.079–0.87) in the derivation, and 0.81 (95% CI 0.77–0.86) in the validation cohort. Another score based on respiratory rate, mental status and mobility had a c statistic of 0.82 (95% CI 0.078–0.87) in the derivation, and 0.81 (95% CI 0.77–0.86) in the validation cohort. The oxygen saturation-based score of zero points identified 51% of patients in the derivation cohort who had in-hospital mortality rate of 0.5%, and 49% of patients in the validation cohort who had in-hospital mortality of 1.0%. A respiratory rate-based score of zero points identified 45% in the derivation cohort who had in-hospital mortality rate of 0.5%, and 44% of patients in the validation cohort who had in-hospital mortality of 0.8%. Both scores had comparable performance to TEWS. CONCLUSION: Two easy to calculate scores have comparable performance to TEWS and, therefore, could replace it to facilitate the adoption of SATS in low-resource settings.