OBJECTIVE: To estimate costs of illness in a cross-sectional cohort of @entity1 with @entity210 attending an outpatient rheumatology clinic, and to evaluate which factors contribute to higher costs. METHODS: Altogether, 126 @entity1 with @entity210 were clinically assessed. They completed a series of questionnaires. Health resource use was collected using a self-report questionnaire that was cross-checked with the electronic @entity1 file. Productivity loss was assessed by the Work Productivity and Activity Impairment Questionnaire, addressing absenteeism and presenteeism. Resource use and productivity loss were valued by real costs, and annual costs per @entity1 were calculated. Factors contributing to incurring costs above the median were explored using logistic univariable and multivariable regression analysis. RESULTS: Mean (median) annual direct costs of @entity210 were    5647 (   1148) per @entity1 . Total costs increased to    6914 (   1279) or    10,894 (   1840) per @entity1 per year when adding cost for @entity24734 and presenteeism, respectively. Factors independently associated with high direct and high indirect costs were a positive history of @entity65 , functional limitations, and female sex. In addition, @entity158 , @entity210 concerns, and unmet @entity210 treatment needs were associated with high direct costs. CONCLUSION: The direct and indirect costs-of-illness of @entity210 are primarily associated with @entity65 , functional limitations, and female sex.

Cost of Illness and Determinants of Costs Among XXXX with Gout.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity24734 :: ('MESH:C535620', 'Disease') :: ['absenteeism or both absenteeism'] @entity158 :: ('MESH:D010146', 'Disease') :: ['pain'] @entity210 :: ('MESH:D006073', 'Disease') :: ['gout'] @entity65 :: ('MESH:D002318', 'Disease') :: ['cardiovascular disease']
@entity1 :: (9606,Species) :: ['Patients']
