M L Katz1,2, L K Volkening1, C E Dougher1, L M B Laffel1,2. 1. Genetics and Epidemiology Section, Joslin Diabetes Center, Boston, MA, USA. 2. Pediatric, Adolescent and Young Adult Section, Joslin Diabetes Center, Boston, MA, USA.
Abstract
AIMS: To develop and validate the Diabetes Family Impact Scale, a scale to measure the impact of diabetes on families. METHODS: The Diabetes Family Impact Scale was developed by an iterative process, with input from multidisciplinary diabetes providers and parents of children with Type 1 diabetes. The psychometric properties of the Diabetes Family Impact Scale were assessed in parents of children with Type 1 diabetes. This assessment included internal consistency, convergent validity and exploratory factor analysis. RESULTS: Parents (n = 148) of children (mean ± sd age 12.9 ± 3.3 years) with Type 1 diabetes (mean ± sd duration 6.2 ± 3.6 years) completed the 15-item Diabetes Family Impact Scale. After eliminating one item, the 14-item measure demonstrated good internal consistency (Cronbach's α = 0.84). Correlations between the Diabetes Family Impact Scale and measures of parent diabetes burden (r = 0.48, P < 0.0001), stressful life events (r = 0.28, P = 0.0007), and child's quality of life (r = -0.52 and -0.54, P < 0.0001 for generic and diabetes-specific quality of life, respectively) supported the convergent validity of the instrument. Factor analysis identified four factors corresponding to the four survey domains (school, work, finances and family well-being). CONCLUSIONS: The Diabetes Family Impact Scale measures diabetes-specific family impacts with good internal consistency and convergent validity and may be a useful tool in clinical and research settings.
AIMS: To develop and validate the Diabetes Family Impact Scale, a scale to measure the impact of diabetes on families. METHODS: The Diabetes Family Impact Scale was developed by an iterative process, with input from multidisciplinary diabetes providers and parents of children with Type 1 diabetes. The psychometric properties of the Diabetes Family Impact Scale were assessed in parents of children with Type 1 diabetes. This assessment included internal consistency, convergent validity and exploratory factor analysis. RESULTS: Parents (n = 148) of children (mean ± sd age 12.9 ± 3.3 years) with Type 1 diabetes (mean ± sd duration 6.2 ± 3.6 years) completed the 15-item Diabetes Family Impact Scale. After eliminating one item, the 14-item measure demonstrated good internal consistency (Cronbach's α = 0.84). Correlations between the Diabetes Family Impact Scale and measures of parent diabetes burden (r = 0.48, P < 0.0001), stressful life events (r = 0.28, P = 0.0007), and child's quality of life (r = -0.52 and -0.54, P < 0.0001 for generic and diabetes-specific quality of life, respectively) supported the convergent validity of the instrument. Factor analysis identified four factors corresponding to the four survey domains (school, work, finances and family well-being). CONCLUSIONS: The Diabetes Family Impact Scale measures diabetes-specific family impacts with good internal consistency and convergent validity and may be a useful tool in clinical and research settings.
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