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A New Paediatric Diabetes Knowledge Test - M-WIKAD Development and Factor Analysis.

Sarah Tsai1,2, Susana Patton3,4, Stephen DeLurgio5

  • 1Division of Pediatric Endocrinology, Children's Mercy Kansas City, Kansas City, MO, USA.

European Endocrinology
|June 28, 2019
PubMed
Summary
This summary is machine-generated.

A new 19-item knowledge test for youth with type 1 diabetes mellitus (T1DM) was developed using expert input and statistical analysis. This tool assesses understanding of T1DM self-care behaviors and aims to improve clinical management.

Keywords:
Type 1 diabetes mellitusexploratory factor analysispaediatric

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Area of Science:

  • Pediatric Endocrinology
  • Diabetes Management
  • Health Education

Background:

  • Type 1 diabetes mellitus (T1DM) requires significant self-management from youth.
  • Existing knowledge assessments may not align with current T1DM management standards.
  • Developing a tailored knowledge measure for adolescents is crucial for effective self-care.

Purpose of the Study:

  • To develop and refine a knowledge measure for youth with T1DM.
  • To base the assessment on contemporary diabetes self-care standards.
  • To create a tool that is valid and reliable for clinical and research use.

Main Methods:

  • Derived an 88-item test from the American Association of Diabetes Educators 7 Self-Care Behaviors.
  • Selected 49 items using expert opinion and a point-biserial correlation coefficient of 0.250.
  • Utilized categorical principal component analysis to identify a 19-item, five-factor model.

Main Results:

  • The final 19-item measure explained 57% of item variances.
  • Identified five key factors: advanced problem-solving, hypoglycemia management, insulin administration, daily management, and healthy active living.
  • The test was piloted in 119 adolescents (aged 12-18) with a mean A1C of 9.9%.

Conclusions:

  • A refined 19-item T1DM knowledge test for youth has been developed.
  • The measure demonstrates initial validity and shows promise as a clinical and research tool.
  • Future research will focus on cohort validation and concurrent validity with A1C and adherence behaviors.