2005Journal of Occupational and Environmental MedicineRequires access

Estimating Direct and Indirect Costs of Premenstrual Syndrome

Jeff Borenstein, Chiun‐Fang Chiou, Bonnie B. Dean, John B. Wong, Sally Wade

Open publisher page 114 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 114 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Indirect costs, Indirect effect, Environmental health, Direct cost, Medicine, Economics, Political science, Accounting

Related papers

Back to paper searchBrowse research topicsOriginal source
Estimating Direct and Indirect Costs of Premenstrual Syndrome — Research Paper | ScholarLens