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.
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.
Authors: Audra L Gollenberg; Mary L Hediger; Sunni L Mumford; Brian W Whitcomb; Kathleen M Hovey; Jean Wactawski-Wende; Enrique F Schisterman Journal: J Womens Health (Larchmt) Date: 2010-05 Impact factor: 2.681
Authors: Erica B Baller; Shau-Ming Wei; Philip D Kohn; David R Rubinow; Gabriela Alarcón; Peter J Schmidt; Karen F Berman Journal: Am J Psychiatry Date: 2013-03 Impact factor: 18.112