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Graph Theory to Map Nursing Knowledge of Diagnosis and Interventions in Women's Health.

Authors :
JENSEN, Rodrigo
Corrêa ALEGRE, Patrícia Helena
Aparecida Luciano VENÂNCIO, Jéssica
GOMES JUNIOR, Luiz Celso
Cassamassimo DUARTE, Marli Teresinha
Ciqueto PERES, Heloisa Helena
Source :
Studies in Health Technology & Informatics; 2024, Vol. 315, p352-356, 5p
Publication Year :
2024

Abstract

Objective: Apply Graph Theory to analyze and map knowledge about nursing diagnoses and interventions, based on records of consultations carried out by nurses, in women's health, in primary health care. Methods: Secondary data from a cross-sectional study were used. Records of nursing consultations carried out during the month of October 2016, in 21 health units, in a Brazilian municipality were analyzed. Network analysis was carried out using Graphs from 61 nursing consultations. Results: 175 diagnoses were recorded, an average of three per consultation; and 380 interventions, an average of six per consultation. In the analysis, four diagnostic and four intervention network groupings were identified. Conclusions: The mapping allowed reflection on phenomena of interest to Nursing and fostering critical thinking in decision making. The findings are useful for teaching and training nurses, as well as strengthening the use of standardized language systems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269630
Volume :
315
Database :
Complementary Index
Journal :
Studies in Health Technology & Informatics
Publication Type :
Academic Journal
Accession number :
178667625
Full Text :
https://doi.org/10.3233/SHTI240168