The qualitative dimension of Nursing workload: a measurement proposal.


Journal

Revista latino-americana de enfermagem
ISSN: 1518-8345
Titre abrégé: Rev Lat Am Enfermagem
Pays: Brazil
ID NLM: 9420934

Informations de publication

Date de publication:
2019
Historique:
received: 18 12 2018
accepted: 23 09 2019
entrez: 12 12 2019
pubmed: 12 12 2019
medline: 13 2 2020
Statut: epublish

Résumé

construct and test a proposal to measure the qualitative dimension of nursing workload; identify the workload cut-off point and its indicator as predictors of the good and optimal nursing care product score. this is a descriptive study conducted in four inpatient units and four intensive care units of a Brazilian teaching hospital, considering 308 evaluations performed by 19 nurses. Four measurement instruments were used: three to assess the care demand in relation to nursing and the other to classify the care product delivered at the end of the shift. The workload was calculated and its indicator was constructed. a weak and inverse correlation was found between the care product score, workload and the workload indicator and the workload indicator in the units and moderate and inverse between Nursing care planning and Care needs assistance with the number of hospitalized patients. it is possible to associate workload and its indicator with the care product. Nursing workload ≤ 173 hours (24 hours) and indicator ≤ 12.3 hours / professional were associated with a higher probability of obtaining a "good" and "optimal" score in the care product in the inpatient units.

Identifiants

pubmed: 31826169
pii: S0104-11692019000100408
doi: 10.1590/1518-8345.3274.3238
pmc: PMC6896804
pii:
doi:

Types de publication

Journal Article

Langues

eng por spa

Pagination

e3238

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Auteurs

Danielle Fabiana Cucolo (DF)

Universidade Federal de São Carlos, São Carlos, SP, Brazil.

Marcia Galan Perroca (MG)

Faculdade de Medicina de São José do Rio Preto, Departamento de Enfermagem Especializada, São José do Rio Preto, SP, Brazil.

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Classifications MeSH