DIABETES DEVICE KNOWLEDGE AND CONFIDENCE AMONG SCHOOL NURSES: A MIXED METHODS STUDY

Problem: Type 1 diabetes is one of the most common chronic medical conditions in childhood. While manageable, these children may spend half of their day in the school setting and often need assistance from a school nurse to manage their care. Theory: Bandura’s Social Cognitive Theory (1977) served as the theoretical framework for this study. Research Questions: The research questions explored knowledge, confidence, and additional predictors of confidence related to diabetes devices. Design/Methods: An explanatory sequential mixed methods design was used. The Diabetes Device Confidence Scale (DDCS) was used to measure device confidence, while Subscale 10 of the KAT-1 instrument was utilized to assess knowledge about diabetes devices. Hierarchical regression was used to determine what effect, if any, the predictor variables had on the dependent variable of confidence. Open-ended interviews were conducted with nine school nurses across Texas, and responses were coded and analyzed to determine how or if the responses supported the quantitative analysis. Analysis: Quantitative data was analyzed using descriptive statistics and regression modeling. Qualitative data was analyzed using thematic analysis. The qualitative data were integrated to further explain the quantitative data. Results: Knowledge and number of children cared for within the last five years wearing diabetes devices was significantly correlated with confidence. This was supported by the qualitative data, in which school nurses named experience and education as contributors to confidence. Conclusion: To build confidence in utilizing diabetes devices, school nurses need hands-on experience and ongoing education.

Publication Details

Journal
Scholar Works at UT Tyler (The University of Texas at Tyler)
Published
2025-01-01
Primary Topic
Diabetes Management and Research
Type
article
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article

DIABETES DEVICE KNOWLEDGE AND CONFIDENCE AMONG SCHOOL NURSES: A MIXED METHODS STUDY

Scholar Works at UT Tyler (The University of Texas at Tyler)
Diabetes Management and Research
article

DIABETES DEVICE KNOWLEDGE AND CONFIDENCE AMONG SCHOOL NURSES: A MIXED METHODS STUDY

article en

Abstract

Problem: Type 1 diabetes is one of the most common chronic medical conditions in childhood. While manageable, these children may spend half of their day in the school setting and often need assistance from a school nurse to manage their care. Theory: Bandura’s Social Cognitive Theory (1977) served as the theoretical framework for this study. Research Questions: The research questions explored knowledge, confidence, and additional predictors of confidence related to diabetes devices. Design/Methods: An explanatory sequential mixed methods design was used. The Diabetes Device Confidence Scale (DDCS) was used to measure device confidence, while Subscale 10 of the KAT-1 instrument was utilized to assess knowledge about diabetes devices. Hierarchical regression was used to determine what effect, if any, the predictor variables had on the dependent variable of confidence. Open-ended interviews were conducted with nine school nurses across Texas, and responses were coded and analyzed to determine how or if the responses supported the quantitative analysis. Analysis: Quantitative data was analyzed using descriptive statistics and regression modeling. Qualitative data was analyzed using thematic analysis. The qualitative data were integrated to further explain the quantitative data. Results: Knowledge and number of children cared for within the last five years wearing diabetes devices was significantly correlated with confidence. This was supported by the qualitative data, in which school nurses named experience and education as contributors to confidence. Conclusion: To build confidence in utilizing diabetes devices, school nurses need hands-on experience and ongoing education.

Scholar Works at UT Tyler (The University of Texas at Tyler)
Quality Education
Openalex Percentile: Top 40%
Diabetes Management and Research
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