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Int J Nurs Stud ; 154: 104749, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-38522185

RESUMO

BACKGROUND: The National Early Warning Score scale correlates well with the intensity of the patient's acute condition. It could also correlate with the nursing activity load and prove useful in defining and redistributing nursing resources based on the acuity of patients. AIM: To assess whether patients' National Early Warning Score at hospital admission correlates with objective nursing demands and can be used to optimize the distribution of available care resources. METHODS: This single-center prospective study included patients admitted to the Department of Internal Medicine at the Civil Hospital in Altovicentino (Italy) between September 1 and December 31, 2022. Nursing activities were recorded for the first three days after admission and standardized to the daily mean as performance/5 min/patient/day. Linear regression was used to assess the correlation between nursing demands for different National Early Warning Scores. RESULTS: This study included 333 patients. Their mean National Early Warning Score was 3.9 (standard deviation: 2.9), with 61 % (203/333) in the National Early Warning Score <5 category, 19.5 % (65/333) in the National Early Warning Score 5-6 category, and 19.5 % (65/333) in the National Early Warning Score >6 category. Their average daily care requirements increased from 22 (16-30) activities/5 min/patient/day in the low National Early Warning Score category to 30 (20-39) activities/5 min/patient/day in the intermediate National Early Warning Score category (p < 0.001) and 35 (23-45) activities/5 min/patient/day in the high National Early Warning Score category (p < 0.001). CONCLUSION: The National Early Warning Score correlates with nursing care activities for patients with an acute condition and can be used to optimize the distribution of available care resources.


Assuntos
Escore de Alerta Precoce , Humanos , Estudos Prospectivos , Feminino , Masculino , Idoso , Pessoa de Meia-Idade , Itália , Idoso de 80 Anos ou mais , Carga de Trabalho/estatística & dados numéricos
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