Psychometric Properties of the Early Feeding Skills Assessment Tool

Suzanne M Thoyre1, Britt Frisk Pados, Catherine S Shaker

  • 1School of Nursing, The University of North Carolina, Chapel Hill (Dr Thoyre); Boston College William F. Connell School of Nursing, Chestnut Hill, Massachusetts (Drs Pados and Park); Florida Hospital for Children, Orlando (Ms Shaker); and University of Iowa Stead Family Children's Hospital, Iowa City (Ms Fuller).

Insights

The Early Feeding Skills (EFS) tool is a valid and reliable instrument for assessing infant feeding development. Its strong psychometric properties support its use in clinical practice and future research.

Area of Science:

  • Neonatal and pediatric feeding interventions.
  • Clinical assessment tools for infant development.

Background:

  • Assessing infant feeding skills is crucial for neonatal and pediatric care.
  • The Early Feeding Skills (EFS) tool aids in evaluating early feeding abilities and identifying intervention needs.

Purpose of the Study:

  • To determine the factor structure of the EFS tool.
  • To evaluate the psychometric properties of the EFS, including reliability and validity.

Main Methods:

  • 142 infant feeding observations (33-50 weeks postmenstrual age) were scored by trained clinicians.
  • Factor analysis was used to identify subscales after removing redundant items.
  • Construct validity was assessed against the Infant-Driven Feeding Scale-Quality (IDFS-Q) and infant gestational age.

Main Results:

  • A 5-factor structure was supported by principal components analysis.
  • The EFS demonstrated good internal consistency reliability (Cronbach α=0.81).
  • The EFS showed construct validity with the IDFS-Q (r=-0.73) and gestational age (r=0.22).

Conclusions:

  • The EFS is a valid and reliable tool for interprofessional feeding teams to organize assessments and plan care.
  • The robust psychometric properties of the EFS support its application in future research.
Abstract

Related Concept Videos

Factors Influencing Attraction V: Social Skills01:29

Factors Influencing Attraction V: Social Skills

Social skills play a crucial role in shaping interpersonal interactions and enhancing individuals' ability to navigate various social environments successfully. These skills contribute to personal and professional success, influencing how others perceive and treat individuals. High social skills provide distinct advantages in numerous settings, including romantic relationships, politics, and legal proceedings. In courtroom settings, for instance, defendants who exhibit strong social skills are...
790
Physical and Chemical Properties of Matter02:57

Physical and Chemical Properties of Matter

The characteristics that enable us to distinguish one substance from another are called properties.
166.5K
Properties of Transition Metals02:58

Properties of Transition Metals

Transition metals are defined as those elements that have partially filled d orbitals. As shown in Figure 1, the d-block elements in groups 3–12 are transition elements. The f-block elements, also called inner transition metals (the lanthanides and actinides), also meet this criterion because the d orbital is partially occupied before the f orbitals.
29.9K
General Properties of Solutions02:12

General Properties of Solutions

Many common substances around us exist as a solution, such as ocean water, air, and gasoline. All solutions are mixtures of substances that are composed of varying amounts of two or more types of atoms or molecules. A mixture with a non-uniform composition is a heterogeneous mixture, whereas a mixture with a uniform composition is a homogeneous mixture. The components that make the homogeneous mixture are evenly spread out and thoroughly mixed. 
35.8K
Convolution Properties I01:20

Convolution Properties I

Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
606
Properties of DTFT II01:24

Properties of DTFT II

In the study of discrete-time signal processing, understanding the properties of the Discrete-Time Fourier Transform (DTFT) is crucial for analyzing and manipulating signals in the frequency domain. Several properties, including frequency differentiation, convolution, accumulation, and Parseval's relation, offer powerful tools for signal analysis.
The frequency differentiation property is illustrated by considering a DTFT pair and differentiating both sides with respect to ω.
544