Patient classification system: a proposal to complement the instrument by Fugulin et al.

Santos, Fernanda dos; Rogenski, Noemi Marisa Brunet; Baptista, Cleide Maria Caetano; Fugulin, Fernanda María Togeiro

doi:10.1590/s0104-11692007000500015

Cited by 26 publications

(33 citation statements)

References 3 publications

(1 reference statement)

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“…The level of care required by each patient was estimated by the Fugulin Patient Classification System (12) , which classifies the level of nursing care into five levels: intensive care, semi-intensive care, high dependency care, intermediate care and minimal care. The following health variables are used for this classification system: mental status, oxy-genation, vital signs, mobility, walking, feeding, body care, disposal, treatment, skin integrity/tissue impairment, dressing and time taken in dressing the patient.…”

Section: Methodsmentioning

confidence: 99%

“…The following health variables are used for this classification system: mental status, oxy-genation, vital signs, mobility, walking, feeding, body care, disposal, treatment, skin integrity/tissue impairment, dressing and time taken in dressing the patient. Each variable is scored 1-4, with the addition of the points leading to the corresponding classification (12) .…”

Section: Methodsmentioning

confidence: 99%

“…However, as we adopted the Fugulin Patient Classification System (12) in which care is divided into five levels, it was necessary to perform the calculation of hours and nursing percentage for the high dependency care category, as this is not covered by the resolution. Thus, we used the value of the average of the hours and the percentage between the semi-intensive and intermediate levels, resulting in a value of 7.5 hours of nursing, with 37% being nurses and 63% technicians/nursing assistants.…”

Section: Methodsmentioning

confidence: 99%

“…We used analysis of variance to compare continuous variables with the Fugulin Patient Classification System (12) , and we used the chi-square test to compare categorical variables with the Fugulin Patient Classification System (12) . When it was not possible, we used the Fisher's exact test or likelihood ratio.…”

Section: Methodsmentioning

confidence: 99%

“…This study aimed to measure staff nursing for the care of patients who remained into the emergency room of a University hospital, and also to evaluate the association among categories of triage risk classification with the Fugulin Patient Classification System (12) .…”

Section: Introductionmentioning

confidence: 99%

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Nursing staff sizing in the emergency room of a university hospital

Paixão

Campanharo

Lopes

et al. 2015

Rev. esc. enferm. USP

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Objective: To verify the adequacy of the professional nursing staff in the emergency room of a university hospital and to evaluate the association between categories of risk classification triage with the Fugulin Patient Classification System. Method: The classification of patients admitted into the emergency room was performed for 30 consecutive days through the methodology proposed by Gaidzinski for calculating nursing requirements. Results: The calculation determines the need for three registered nurses and four non-registered nursing for each six hour shift. However, only one registered nurse and four non-registered nurse were available per shift. There was no correlation between triage risk classification and classification of care by the Fugulin Patient Classification System. Conclusion: A deficit in professional staff was identified in the emergency room. The specificity of this unit made it difficult to measure. To find the best strategy to do so, further studies should be performed. Nursing staff sizing in the emergency room of a university hospital Dimensionamento de enfermagem em sala de emergência de um hospital-escola Dimensionamiento de enfermería en servicio de urgencias de un hospital escuela

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Nursing staff sizing in the emergency room of a university hospital

Paixão

Campanharo

Lopes

et al. 2015

Rev. esc. enferm. USP

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Ethnopharmacological use of babassu (Orbignya phalerata Mart) in communities of babassu nut breakers in Maranhão, Brazil

Souza

Monteiro

Figueredo

et al. 2011

Journal of Ethnopharmacology

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Avaliação do grau de complexidade assistencial da clientela das enfermarias de um pronto-socorro adulto

Santana¹

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Dedico este trabalho a minha família, em especial ao meu marido, pelo incentivo, companheirismo e apoio. À minha filha por ser a razão maior na minha jornada e luz no meu caminho. Aos meus pais por serem meu exemplo de vida. Todos vocês fazem parte dessa conquista. AGRADECIMENTOS À Deus por sua infinita misericórdia dando-me forças para superar os desafios e prosseguir até o fim.À minha orientadora Profa. Dra. Angelita Maria Stabile pela competência, sabedoria, paciência e compreensão com as minhas dificuldades, por me acolher e me acompanhar nesta trajetória. Meus sinceros agradecimentos pela amizade e confiança.

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Patient classification system: a proposal to complement the instrument by Fugulin et al.

Cited by 26 publications

References 3 publications

Nursing staff sizing in the emergency room of a university hospital

Nursing staff sizing in the emergency room of a university hospital

Ethnopharmacological use of babassu (Orbignya phalerata Mart) in communities of babassu nut breakers in Maranhão, Brazil

Avaliação do grau de complexidade assistencial da clientela das enfermarias de um pronto-socorro adulto

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