Determining workload and size of nursing team in the pediatric emergency department
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Einstein (São Paulo) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082014000200217 |
Resumo: | ObjectiveTo identify indicators of required nursing workload for pediatric patients care in an emergency department.MethodsThis cross-sectional quantitative study was carried out in a pediatric short-stay unit at a public hospital in São Paulo (SP), Brazil. The patient classification system and activity times of nursing care proposed by the Brazilian Federal Nurse Council were applied to all patients admitted over a 1-month period. The instruments were applied by two nurses in populations of 500 and 453 patients, respectively. Nursing workload was calculated in terms of hours and by nurse/patient ratio. Data were analyzed by descriptive statistics, and inter- and intraobserver reliability was assessed by using Kappa coefficient. Confidence intervals were measured to verify differences in numbers of patient among work shifts.ResultsThe average daily workload was 108.7 hours and the average amount of time spent on nursing care per patient was 7.9 hours. The nurse-patient ratio was 1:2.6.ConclusionThe application of the standardized classification instrument was adequate. It enabled the classification of pediatric patients and the measurement of amount of time needed for nursing care. The average number of nursing work hours per patient met the average time for semi-intensive care established by the Brazilian Federal Nurse Council. |
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Determining workload and size of nursing team in the pediatric emergency departmentWorkloadNursing staff, hospitalPersonnel administration, hospitalObjectiveTo identify indicators of required nursing workload for pediatric patients care in an emergency department.MethodsThis cross-sectional quantitative study was carried out in a pediatric short-stay unit at a public hospital in São Paulo (SP), Brazil. The patient classification system and activity times of nursing care proposed by the Brazilian Federal Nurse Council were applied to all patients admitted over a 1-month period. The instruments were applied by two nurses in populations of 500 and 453 patients, respectively. Nursing workload was calculated in terms of hours and by nurse/patient ratio. Data were analyzed by descriptive statistics, and inter- and intraobserver reliability was assessed by using Kappa coefficient. Confidence intervals were measured to verify differences in numbers of patient among work shifts.ResultsThe average daily workload was 108.7 hours and the average amount of time spent on nursing care per patient was 7.9 hours. The nurse-patient ratio was 1:2.6.ConclusionThe application of the standardized classification instrument was adequate. It enabled the classification of pediatric patients and the measurement of amount of time needed for nursing care. The average number of nursing work hours per patient met the average time for semi-intensive care established by the Brazilian Federal Nurse Council.Instituto Israelita de Ensino e Pesquisa Albert Einstein2014-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082014000200217einstein (São Paulo) v.12 n.2 2014reponame:Einstein (São Paulo)instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)instacron:IIEPAE10.1590/S1679-45082014AO2945info:eu-repo/semantics/openAccessRossetti,Ana CristinaGaidzinski,Raquel RaponeBracco,Mario Maiaeng2015-09-10T00:00:00Zoai:scielo:S1679-45082014000200217Revistahttps://journal.einstein.br/pt-br/ONGhttps://old.scielo.br/oai/scielo-oai.php||revista@einstein.br2317-63851679-4508opendoar:2015-09-10T00:00Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)false |
dc.title.none.fl_str_mv |
Determining workload and size of nursing team in the pediatric emergency department |
title |
Determining workload and size of nursing team in the pediatric emergency department |
spellingShingle |
Determining workload and size of nursing team in the pediatric emergency department Rossetti,Ana Cristina Workload Nursing staff, hospital Personnel administration, hospital |
title_short |
Determining workload and size of nursing team in the pediatric emergency department |
title_full |
Determining workload and size of nursing team in the pediatric emergency department |
title_fullStr |
Determining workload and size of nursing team in the pediatric emergency department |
title_full_unstemmed |
Determining workload and size of nursing team in the pediatric emergency department |
title_sort |
Determining workload and size of nursing team in the pediatric emergency department |
author |
Rossetti,Ana Cristina |
author_facet |
Rossetti,Ana Cristina Gaidzinski,Raquel Rapone Bracco,Mario Maia |
author_role |
author |
author2 |
Gaidzinski,Raquel Rapone Bracco,Mario Maia |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Rossetti,Ana Cristina Gaidzinski,Raquel Rapone Bracco,Mario Maia |
dc.subject.por.fl_str_mv |
Workload Nursing staff, hospital Personnel administration, hospital |
topic |
Workload Nursing staff, hospital Personnel administration, hospital |
description |
ObjectiveTo identify indicators of required nursing workload for pediatric patients care in an emergency department.MethodsThis cross-sectional quantitative study was carried out in a pediatric short-stay unit at a public hospital in São Paulo (SP), Brazil. The patient classification system and activity times of nursing care proposed by the Brazilian Federal Nurse Council were applied to all patients admitted over a 1-month period. The instruments were applied by two nurses in populations of 500 and 453 patients, respectively. Nursing workload was calculated in terms of hours and by nurse/patient ratio. Data were analyzed by descriptive statistics, and inter- and intraobserver reliability was assessed by using Kappa coefficient. Confidence intervals were measured to verify differences in numbers of patient among work shifts.ResultsThe average daily workload was 108.7 hours and the average amount of time spent on nursing care per patient was 7.9 hours. The nurse-patient ratio was 1:2.6.ConclusionThe application of the standardized classification instrument was adequate. It enabled the classification of pediatric patients and the measurement of amount of time needed for nursing care. The average number of nursing work hours per patient met the average time for semi-intensive care established by the Brazilian Federal Nurse Council. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082014000200217 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082014000200217 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1679-45082014AO2945 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto Israelita de Ensino e Pesquisa Albert Einstein |
publisher.none.fl_str_mv |
Instituto Israelita de Ensino e Pesquisa Albert Einstein |
dc.source.none.fl_str_mv |
einstein (São Paulo) v.12 n.2 2014 reponame:Einstein (São Paulo) instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE) instacron:IIEPAE |
instname_str |
Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE) |
instacron_str |
IIEPAE |
institution |
IIEPAE |
reponame_str |
Einstein (São Paulo) |
collection |
Einstein (São Paulo) |
repository.name.fl_str_mv |
Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE) |
repository.mail.fl_str_mv |
||revista@einstein.br |
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1752129907447562240 |