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Child Health Nurs Res > Volume 16(1):2010 > Article
Journal of Korean Academy of Child Health Nursing 2010;16(1):84-92.
DOI: https://doi.org/10.4094/jkachn.2010.16.1.84
A Predictive Model using Decision Tree Method on Demand for Alternative Feeding Education by Nurses.
Jina Oh, Chae Min Yoon, Byung su Kim
1Department of Nursing, Inje University, Busan, Korea. ohjina@inje.ac.kr
2Department of Statistics, Inje University, Busan, Korea.
Abstract
PURPOSE: One of the main reasons why mothers quit breast feeding is that the volume of breast milk is inadequate due to insufficiency in suckling. We believe suckling experience may be a factor affecting nipple confusion. So an alternative feeding method, namely cup, spoon, finger, or nasogastric tube feeding may be needed to prevent nipple confusion. The purpose of this study was to construct a predictive model for demand for alternative feeding education by nurses. METHODS: A descriptive design with structured self-report questionnaires was used for this study. Data from 175 nurses working in hospitals in Busan were collected between April 1 and 15, 2009. Data were analyzed by decision tree method, one of the data mining techniques using SAS 9.1 and Enterprise Miner 4.3 program. RESULTS: Of the nurses, 81.1% demanded alternative feeding education and 5 factors showed that most of them expressed intention to pay, desire to know about alternative feeding, age, and learning experience. From these results, the derived model is considered appropriative for explaining and predicting demand for alternative feeding education. CONCLUSION: This confirms that knowledge and compliance in alternative breast feeding for newborn babies should be correct and any inaccuracies or insufficient information should be supplemented.
Key words: Breast feeding; Decision trees; Linear model
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