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OC24 - An algorithm proposal to oral feeding in premature infants
Florbela Neto1, Ana Paula França2, Sandra Cruz2
1ICBAS - Instituto de Ciencias Biomédicas Abel Salazar, Portugal.
This study identifies key infant characteristics and nursing interventions for successful oral feeding transitions in premature infants. An evidence-based algorithm was developed to guide nurses in neonatology.
Area of Science:
- Neonatal care
- Pediatric nutrition
- Nursing science
Background:
- Oral feeding is a critical yet challenging milestone for premature infants post-respiratory support.
- Neonatal nurses face significant challenges in managing this transition from gavage to oral feeding.
Purpose of the Study:
- To identify essential characteristics of preterm infants for initiating oral feeding.
- To gather neonatal nurses' perspectives on effective interventions promoting the oral feeding transition.
Main Methods:
- Qualitative, exploratory, and descriptive study design.
- Semi-structured interviews conducted with neonatal nurses.
- Data analyzed using content analysis.
Main Results:
- Key infant parameters include weight, gestational age, physiological stability, and coordinated sucking-swallowing-breathing.
- Effective nursing interventions involve positioning, reflex stimulation, stress management, and monitoring feeding parameters.
- Nurse-informed strategies are crucial for developing infant feeding skills.
Conclusions:
- An algorithm for oral feeding of preterm infants was developed based on expert nursing opinions.
- This algorithm provides a structured approach to facilitate the transition to oral feeding in neonatology.
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