VALIDATION OF THE DHDS- A HYBRID INSTRUMENT TO MEASURE HEALTH-RELATED QUALITY-OF-LIFE IN PATIENTS WITH DIABETES, HYPERTENSION, AND DYSLIPIDEMIA
Author(s)
Bae YH1, Pham DQ1, Bounthavong M2, Law A1
1WESTERN UNIVERSITY OF HEALTH SCIENCES, POMONA, CA, USA, 2University of Washington, SEATTLE, WA, USA
OBJECTIVES: To validate a multi-disease- specific instrument: the Diabetes, Hypertension, and Dyslipidemia Survey (DHDS) developed using mixed methods. METHODS: Validation was conducted using pre-post-intervention with historical control design, on a sample drawn from a pharmacist-managed diabetes education clinic. The DHDS consists of 22 items measuring extent of limitation (with 6 questions addressing change in the post-intervention survey) on a 4-point agreement scale. Items correspond to 6 HRQL domains: physical functioning, social functioning, diet, emotional well-being, medication-related issues, and general well-being. Participants were recruited if they were at least 18 years old and newly enrolled in the clinic. Pre-survey was given at the first visit followed by an educational intervention, and post-survey was administered 3-6 months later. Pre-post scores were tabulated per domain. Internal consistency of the tool was assessed using Cronbach’s alpha. Pre- and post-A1C were also collected to examine the clinical impact of the intervention. Analyses were conducted at Alpha of 95%. RESULTS: Total of 22 participants completed pre- and post-surveys. Mean age was 60.4 (SD = 11.8), and more than half (54.5%) the participants were male. Missing data was higher than 5% only for the medication domain (68%). Although not statistically significant, there was a general trend of improved mean HRQL from the pre- to post-survey except the medication domain, possibly due to education by the pharmacist. The pre-survey domain means ranged from 1.8 to 2.6 with higher score indicating higher disease burden. Internal consistency was good in both pre- (0.911) and post-surveys (0.742). Although A1C was available for only a small subgroup (n=6), the decrease from mean pre (7.4) to post (6.6) was significant (p<0.05). The small sample size precluded factor analysis for domain validation. CONCLUSIONS: The DHDS Tool demonstrated acceptable reliability but needs testing with a larger sample size for further validation.
Conference/Value in Health Info
2016-05, ISPOR 2016, Washington DC, USA
Value in Health, Vol. 19, No. 3 (May 2016)
Code
PHS63
Topic
Patient-Centered Research
Topic Subcategory
Patient-reported Outcomes & Quality of Life Outcomes
Disease
Cardiovascular Disorders, Diabetes/Endocrine/Metabolic Disorders