Estimating Direct and Indirect Costs of Premenstrual Syndrome
Jeff Borenstein, Chiun‐Fang Chiou, Bonnie B. Dean, John B. Wong, Sally Wade
Abstract
Jeff Borenstein, Chiun‐Fang Chiou, Bonnie B. Dean, John B. Wong, Sally Wade
Abstract
OBJECTIVE: To quantify the economic impact of premenstrual syndrome (PMS) on the employer. METHODS: Data were collected from 374 women aged 18-45 with regular menses. Direct costs were quantified using administrative claims of these patients and the Medicare Fee Schedule. Indirect costs were quantified by both self-reported days of work missed and lost productivity at work. Regression analyses were used to develop a model to project PMS-related direct and indirect costs. RESULTS: A total of 29.6% (n = 111) of the participants were diagnosed with PMS. A PMS diagnosis was associated with an average annual increase of $59 in direct costs (P < 0.026) and $4333 in indirect costs per patient (P < 0.0001) compared with patients without PMS. CONCLUSIONS: A PMS diagnosis correlated with a modest increase in direct medical costs and a large increase in indirect costs.
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OBJECTIVE: To quantify the economic impact of premenstrual syndrome (PMS) on the employer. METHODS: Data were collected from 374 women aged 18-45 with regular menses. Direct costs were quantified using administrative claims of these patients and the Medicare Fee Schedule. Indirect costs were quantified by both self-reported days of work missed and lost productivity at work. Regression analyses were used to develop a model to project PMS-related direct and indirect costs. RESULTS: A total of 29.6% (n = 111) of the participants were diagnosed with PMS. A PMS diagnosis was associated with an average annual increase of $59 in direct costs (P < 0.026) and $4333 in indirect costs per patient (P < 0.0001) compared with patients without PMS. CONCLUSIONS: A PMS diagnosis correlated with a modest increase in direct medical costs and a large increase in indirect costs.
Key concepts: Indirect costs, Indirect effect, Environmental health, Direct cost, Medicine, Economics, Political science, Accounting