Relations between nursing data collection, diagnoses and prescriptions for adult patients at an intensive care unit
被引:9
|
作者:
de Carvalho, Emilia Campos
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h-index: 0
机构:
Univ Sao Paulo, Coll Nursing, WHO Collaborating Ctr Nursing Res Dev, BR-14049 Ribeirao Preto, BrazilGoias Fed Univ, Sch Nursing, Goiania, Go, Brazil
de Carvalho, Emilia Campos
[2
]
Merizio Martins, Fernanda Titareli
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sao Paulo, Coll Nursing, WHO Collaborating Ctr Nursing Res Dev, BR-14049 Ribeirao Preto, BrazilGoias Fed Univ, Sch Nursing, Goiania, Go, Brazil
Merizio Martins, Fernanda Titareli
[2
]
Barcellos Dalri, Maria Celia
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sao Paulo, Coll Nursing, WHO Collaborating Ctr Nursing Res Dev, BR-14049 Ribeirao Preto, BrazilGoias Fed Univ, Sch Nursing, Goiania, Go, Brazil
Barcellos Dalri, Maria Celia
[2
]
Marin da Silva Canini, Silvia Rita
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sao Paulo, Coll Nursing, WHO Collaborating Ctr Nursing Res Dev, BR-14049 Ribeirao Preto, BrazilGoias Fed Univ, Sch Nursing, Goiania, Go, Brazil
Marin da Silva Canini, Silvia Rita
[2
]
Laus, Ana Maria
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sao Paulo, Coll Nursing, WHO Collaborating Ctr Nursing Res Dev, BR-14049 Ribeirao Preto, BrazilGoias Fed Univ, Sch Nursing, Goiania, Go, Brazil
机构:
Univ Sao Paulo, Coll Nursing, WHO Collaborating Ctr Nursing Res Dev, BR-14049 Ribeirao Preto, BrazilGoias Fed Univ, Sch Nursing, Goiania, Go, Brazil
Rossi, Lidia Aparecida
[2
]
机构:
[1] Goias Fed Univ, Sch Nursing, Goiania, Go, Brazil
[2] Univ Sao Paulo, Coll Nursing, WHO Collaborating Ctr Nursing Res Dev, BR-14049 Ribeirao Preto, Brazil
来源:
REVISTA LATINO-AMERICANA DE ENFERMAGEM
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2008年
/
16卷
/
04期
关键词:
nursing process;
nursing diagnosis;
intensive care unit;
D O I:
10.1590/S0104-11692008000400008
中图分类号:
R47 [护理学];
学科分类号:
1011 ;
摘要:
This descriptive, retrospective study aimed to analyze the relation between nursing data collection, diagnoses and prescriptions for 26 adult patients who were hospitalized at the intense care unit of a large teaching hospital for at least 24 hours. Through the analysis of medical records, 135 diagnoses and 421 nursing prescriptions were established, and 24 different diagnosis categories and 20 different items for prescriptions were identified. The most frequent diagnosis risk was that for infection, present in the medical records of 22 (84.60%) patients, with 175 prescriptions (42%) related to this diagnosis. The data the nurses collected were sufficient to establish the nursing diagnoses, and the majority of prescriptions (87.9%) were related to the diagnoses.