Dimensionality and psychometric properties of the Greek version of the Diabetes Impact and Device Satisfaction (DIDS) scale.

Psychiatriki

Diabetes Center, 1st Propaedeutic Department of Internal Medicine, Medical School, "AHEPA" University General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Macedonia, Greece.

Published: December 2024

AI Article Synopsis

  • Type 1 diabetes (T1D) is a growing chronic condition that requires insulin for management to avoid complications, and diabetes-related technology helps improve patients' daily living.
  • A study evaluated the Greek version of the Diabetes Impact and Device Satisfaction (DIDS) Scale, which measures how satisfied individuals are with their insulin delivery device and how diabetes affects their lives.
  • Results showed that the scale is reliable and valid, identifying three key factors: Device Satisfaction, Diabetes Management Impact, and Device Usability, with positive correlations to diabetes quality of life metrics.

Article Abstract

Type 1 diabetes mellitus (T1D) is a chronic condition with rising prevalence. The only treatment for individuals with T1D to prevent diabetes-related complications is exogenous insulin administration. Diabetes-related technology has significantly contributed to the management of T1D by reducing the burden of living with diabetes and providing greater flexibility in insulin management during daily activities. This study presents the psychometric properties of the Greek translation of the Diabetes Impact and Device Satisfaction (DIDS) Scale, which assesses satisfaction with the use of an insulin delivery device and the impact of diabetes management on individuals with T1D. A sample of 101 adults with T1D, mostly females (71.3%), with a mean age of 38.4 years (± 11.7), completed the translated Greek version of DIDS (DIDS-Gr). Exploratory factor analysis revealed three factors: 'Device Satisfaction', 'Diabetes Management Impact', and (new factor) 'Device Usability'. The internal consistency indices (Cronbach's alpha) for the subscales were 0.86, 0.71, and 0.60, respectively. Furthermore, convergent validity was demonstrated with moderate to high positive correlations between the DIDS-Grand the Diabetes Quality of Life Brief Clinical Inventory (DQoL-BCI) and its subscales, while divergent validity was also confirmed with weaker correlations with the depression subscale of the Hospital Anxiety and Depression Scale (HADS). Additionally, test-retest reliability and differential validity were present in our study. Therefore, DIDS-Gr is a valid and reliable measure for assessing the impact of diabetes on individuals with T1D and the satisfaction with the use of an insulin delivery device in Greece.

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Source
http://dx.doi.org/10.22365/jpsych.2024.017DOI Listing

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