Title |
Critical defining characteristics for nursing diagnosis about ineffective breastfeeding
|
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Published in |
Revista Brasileira de Enfermagem, April 2018
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DOI | 10.1590/0034-7167-2016-0549 |
Pubmed ID | |
Authors |
Sandra Cristina de Alvarenga, Denise Silveira de Castro, Franciéle Marabotti Costa Leite, Telma Ribeiro Garcia, Marcos Antônio Gomes Brandão, Cândida Caniçali Primo |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 75% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 10% |
Student > Doctoral Student | 5 | 10% |
Other | 3 | 6% |
Student > Bachelor | 3 | 6% |
Professor > Associate Professor | 3 | 6% |
Other | 9 | 18% |
Unknown | 23 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 21 | 41% |
Medicine and Dentistry | 3 | 6% |
Agricultural and Biological Sciences | 1 | 2% |
Mathematics | 1 | 2% |
Social Sciences | 1 | 2% |
Other | 1 | 2% |
Unknown | 23 | 45% |