22 May 2013 : Original article
Health status profile and health-related quality of life of veterans attending an out-patient clinic
Meheroz H. RabadiABCDEF, Andrea S. VincentCDEDOI: 10.12659/MSM.889097
Med Sci Monit 2013; 19:386-392
Abstract
BACKGROUND: There is paucity of data concerning the self-perceptions of health status and health-related quality of life (HRQoL) of veterans with multiple chronic medical conditions.
MATERIAL AND METHODS: Veterans who attended an out-patient power wheelchair clinic at a tertiary VA Medical Center were assessed. Health status and HRQoL were measured by using the EuroQol (EQ-5D) questionnaire. The EuroQol (ED-5D) visual analogue scale (EQ-5DVAS) measured their health state, and average values of the (EQ-5D) questionnaire for mobility, self-care, usual activities, pain or discomfort, and anxiety or depression (EQ-5Dprofile), and the EQ-5Dutility measured their HRQoL.
RESULTS: Of the 170 veterans who attended the out-patient clinic, the mean (±SD) age was 69.6±10.7 years, male/female ratio was 163/7, and 88% were non-Hispanic whites. Fifty-four percent were retired, 39% had a registered disabled, and only 3% were employed. Thirty-three percent were current smokers. More than 64% of the veterans had 4 or more co-morbid conditions for which they were receiving treatment. The mean (±SD) initial EQ-5Dprofile, EQ-5Dutility, and EQ-5DVAS scores were 10.3±1.5, 0.75±0.05 and 45.3±18.9, respectively. The social-demographic variables studied (age, gender, education, marital status, employment, co-morbid conditions, and current smoking history) were only able to predict the mobility and anxiety/depression domains of the EQ-5D.
CONCLUSIONS: Veterans who considered themselves disabled had multiple chronic medical conditions. Age, employment state, and number of chronic medical conditions were associated with poor health state and HRQoL. No relationship was found between health state and HRQoL in this sample of veterans.
Keywords: Outpatients - statistics & numerical data, Oklahoma - epidemiology, Health Status, Employment - statistics & numerical data, Demography, Chronic Disease, Quality of Life, Questionnaires, Veterans - statistics & numerical data
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