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Comparison of patient classification systems for dimensioning nursing staff.
Guardalupe, Jéssica Azevedo; Brum, Ivana Duarte; Canto, Débora Francisco do; Telles, Kelly Cristina Milioni; Magalhães, Ana Maria Müller de; Oliveira, João Lucas Campos de.
Afiliación
  • Guardalupe JA; Universidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Enfermagem, Porto Alegre, RS, Brazil.
  • Brum ID; Universidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Enfermagem, Porto Alegre, RS, Brazil.
  • Canto DFD; Universidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Enfermagem, Porto Alegre, RS, Brazil.
  • Telles KCM; Universidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Enfermagem, Porto Alegre, RS, Brazil.
  • Magalhães AMM; Universidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Enfermagem, Porto Alegre, RS, Brazil.
  • Oliveira JLC; Universidade Federal do Rio Grande do Sul, Programa de Pós-graduação em Enfermagem, Porto Alegre, RS, Brazil.
Rev Esc Enferm USP ; 57: e20230047, 2023.
Article en En, Pt | MEDLINE | ID: mdl-37703470
OBJECTIVE: To compare nursing staff workload and dimensioning measured by two patient classification systems. METHOD: Cross-sectional study, developed in a clinical inpatient unit of a large hospital in southern Brazil, between June and August 2022. Included patients (n = 260) were assessed through two different patient classification systems. The dimensioning calculation provided by the standard and descriptive statistics were applied. RESULTS: Of the total number of patients, 1,248 classifications were performed with each of the classification systems. One of the instruments showed a concentration of demand for minimal care (54.5%) and the other for intermediate care (63.4%). The anticipation of required nursing hours was discrepant (235.58 and 298.16 hours), as well as the projected nursing staff, which was of 53 and 67 workers, respectively. CONCLUSION: Measurement of workload and dimensioning were different when using two patient classification systems in the same sample. Additional accuracy studies shall be carried out.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Pacientes Internos / Personal de Enfermería Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En / Pt Revista: Rev Esc Enferm USP Año: 2023 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Pacientes Internos / Personal de Enfermería Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En / Pt Revista: Rev Esc Enferm USP Año: 2023 Tipo del documento: Article País de afiliación: Brasil