Alvarenga Sandra Cristina de, Castro Denise Silveira de, Leite Franciéle Marabotti Costa, Garcia Telma Ribeiro, Brandão Marcos Antônio Gomes, Primo Cândida Caniçali
Universidade Federal do Espírito Santo, Center of Health Sciences, Postgraduate Program in Nursing. Vitória, Espírito Santo, Brazil.
Universidade Federal do Espírito Santo, Center for Health Sciences, Department of Nursing. Vitória, Espírito Santo, Brazil.
Rev Bras Enferm. 2018 Mar-Apr;71(2):314-321. doi: 10.1590/0034-7167-2016-0549.
To investigate the Nursing diagnostic accuracy measures and to propose a model to use defining characteristics in order to judge the nursing diagnosis of ineffective breastfeeding.
Cross-sectional study with a sample of 73 binomials mom-child hospitalized in a maternity ward of an University Hospital, from July to August of 2014.
The diagnostic predominance rate was 58.9%. The characteristics that best meet the needs of logistic regression model were: discontinuance of breast sucking; infant's inability of seizing the areola-nipple region correctly; infant's crying one hour after breastfeeding and inappropriate milk supply perceived.
Breastfeeding process is dynamic; diagnostic judgement may suffer some changes according to the time data are collected; the defining characteristics are the best predictors if associated with models and rules of use.
探讨护理诊断准确性的衡量方法，并提出一个利用界定性特征来判断母乳喂养无效护理诊断的模型。
采用横断面研究，样本为2014年7月至8月在某大学医院产科病房住院的73对母婴二元组。
诊断优势率为58.9%。最符合逻辑回归模型需求的特征为：停止吸吮乳房；婴儿无法正确含住乳晕-乳头区域；母乳喂养后一小时婴儿哭闹以及感觉乳汁供应不足。
母乳喂养过程是动态的；诊断判断可能会根据收集数据的时间而有所变化；如果与使用模型和规则相关联，界定性特征是最佳预测指标。
