[ECoLaE: Validation of a questionnaire on breastfeeding knowledge and skills for Nursing]

Carolina Lechosa Muñiz1, José Luis Cobo Sánchez2, Sara Herrera Castanedo3

  • 1Servicio de Pediatría, Hospital Universitario Marqués de Valdecilla, Santander, España.

Atencion Primaria
|September 17, 2019
PubMed
Abstract

Related Concept Videos

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect05:04

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect

Here, we present a nonhuman primate model of mother-infant intervention for breastfeeding disorders in the presence of paternal inhibition and maternal neglect. The mate model video complements education to support primate and human caregivers with respect to infants with breastfeeding problems such as pain.
867
Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another05:12

Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another

We describe a novel virtual-reality based setup which exploits voluntary control of one hand to improve motor-skill performance in the other (non-trained) hand. This is achieved by providing real-time movement-based sensory feedback as if the non-trained hand is moving. This new approach may be used to enhance rehabilitation of patients with unilateral...
548.6K
Using Learning Outcome Measures to assess Doctoral Nursing Education10:07

Using Learning Outcome Measures to assess Doctoral Nursing Education

The structure and process for measuring student learning outcomes through customizable assessment rubrics is discussed and applied to a doctoral nursing education...
19.4K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

This article describes RUGGED (Retrieval Under Graph-Guided Explainable disease Distinction), which integrates Large Language Model (LLM) inference with Retrieval-Augmented Generation (RAG). It draws evidence from expert-curated biomedical knowledge bases and peer-reviewed biomedical publications to synthesize new knowledge from up-to-date information, identify explainable and actionable predictions, and pinpoint promising directions for hypothesis-driven...
1.3K
Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
3.6K
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
3.6K