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新生儿护理诊断“体温调节无效”定义特征的准确性。

Accuracy of the defining characteristics of the nursing diagnosis: Ineffective thermoregulation in newborns.

作者信息

Menezes-de-Aquino Wislla Ketlly, de Oliveira-Lopes Marcos Venícios, da-Silva Viviane Martins, Gutiérrez Barreiro Reinaldo

机构信息

Unidad de Neonatología, Hospital de la Mujer de Fortaleza, Fortaleza, Brasil; Grupo de Estudio Diagnósticos Intervenciones y Resultados de Enfermería (GEDIRE), Universidad Federal de Ceará, Fortaleza, Brasil.

Grupo de Estudio Diagnósticos Intervenciones y Resultados de Enfermería (GEDIRE), Universidad Federal de Ceará, Fortaleza, Brasil; Departamento de Enfermería, Universidad Federal do Ceará, Fortaleza, Brasil.

出版信息

Enferm Clin (Engl Ed). 2020 Nov-Dec;30(6):377-385. doi: 10.1016/j.enfcli.2019.12.011. Epub 2020 Mar 11.

Abstract

OBJECTIVE

To identify the measures of accuracy for defining characteristics of the nursing diagnosis: Ineffective thermoregulation in newborns.

METHOD

Diagnostic accuracy study with cross-sectional design performed in medium and high-risk maternity units, located in Fortaleza city/Brazil. A total of 216 newborns were evaluated to identify the defining characteristics of the diagnosis under study. The measures of accuracy for defining characteristics were obtained from a latent class model with random effects for the calculation of sensitivity and specificity values.

RESULTS

The characteristics of increased respiratory rate and warm skin to the touch had higher sensitivity values (99.9%) and lower specificity (79 and 75%) and the characteristics of body temperature fluctuations above and below the normal parameters and hypertension had the highest specificity (80.4 and 100%, respectively).

CONCLUSION

The characteristic fluctuation of the body temperature above and below the normal parameters may be better to confirm the diagnosis, having presented a higher specificity value.

摘要

目的

确定用于界定护理诊断“新生儿体温调节无效”特征的准确性测量指标。

方法

在巴西福塔莱萨市的中高风险产科病房进行了一项采用横断面设计的诊断准确性研究。共评估了216名新生儿,以确定所研究诊断的界定特征。用于界定特征的准确性测量指标来自一个具有随机效应的潜在类别模型,用于计算敏感性和特异性值。

结果

呼吸频率增加和皮肤触摸温暖的特征具有较高的敏感性值(99.9%)和较低的特异性(分别为79%和75%),而体温在正常参数上下波动和高血压的特征具有最高的特异性(分别为80.4%和100%)。

结论

体温在正常参数上下波动的特征可能更有助于确诊,因为其特异性值更高。

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