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Development and Validation of a Distress Measurement Related to Glucose Monitoring of Diabetes Patients
INTRODUCTION: Glucose monitoring-related problems affect the social and psychological distress experienced by patients with diabetes, and this distress leads to low compliance. Consequently, it is important to be able to comprehensively assess distress due to glucose monitoring in these patients. We...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064357/ https://www.ncbi.nlm.nih.gov/pubmed/36857024 http://dx.doi.org/10.1007/s13300-023-01383-8 |
Sumario: | INTRODUCTION: Glucose monitoring-related problems affect the social and psychological distress experienced by patients with diabetes, and this distress leads to low compliance. Consequently, it is important to be able to comprehensively assess distress due to glucose monitoring in these patients. We have developed and validated a distress of self-glucose monitoring (DSGM) scale instrument to assess patient distress from glucose monitoring. METHODS: Following an extensive literature review and qualitative study, we selected 21 items for assessing the DSGM, including physical, psychosocial, and process domains. We conducted a cross-sectional study in patients with insulin-treated diabetes aged 10–40 years at Samsung Medical Center, Seoul, Korea, from April 2021 to September 2021. Exploratory and confirmatory factor analyses (CFA) were performed to confirm the structural validity of the DSGM scale. To confirm construct and criterion validity, we assumed that the Korean version of the Problem Areas in Diabetes (PAID-K) instrument, life interference, and stress due to glucose monitoring might moderately correlate with the total score and scores of all domains of the DSGM scale except for the physical domain. RESULTS: Cronbach’s alpha coefficients for the DSGM scale were 0.92, and Cronbach’s alpha coefficients of the three subscales ranged from 0.69 to 0.92, indicating satisfactory internal consistency. The DSGM scale was evaluated using CFA, and the fit indices for this model were good. The PAID-K total score, life interference, and stress due to glucose monitoring were moderately correlated with the total score of the DSGM scale and with the scores of the psychosocial and process domains, and were weakly correlated with the score of the physical domain of the DSGM scale. CONCLUSION: The DSGM scale is a valid and reliable tool to evaluate distress due to glucose monitoring in adults, adolescents, and children with diabetes. |
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