Health disparities and infertility: impacts of state-level insurance mandates.
OBJECTIVE
To determine whether important racial, ethnic, or socioeconomic status (SES) health disparities exist in infertility, impaired fecundity, or infertility treatment.


METHODS
Four waves of the National Survey of Family Growth (NSFG) were pooled. Measures were compared across various race/ethnicity, education, and age groups.


METHODS
Data for 31,047 women 15-44 years old from the NSFG were pooled.


METHODS
Outcomes were compared by whether the women's states of residence had a mandate in place (at least 1 year before the interview) to compel insurers to cover or offer to cover infertility treatment.


METHODS
Infertility status, impaired fecundity, ever having sought infertility treatment.


RESULTS
Infertility is more common for non-Hispanic black women, non-Hispanic other race women, and Hispanic women than for non-Hispanic white women, and both infertility and impaired fecundity are more common for high school dropouts and high school graduates with no college than for 4-year college graduates, and for older women compared with women 29 and younger. Older women, non-Hispanic white women, and women who are more educated (with at least some college) are more likely to have ever received treatment. No evidence has been found that the racial, ethnic, or education disparities are ameliorated by the health insurance mandates.


CONCLUSIONS
Racial, ethnic, and educational disparities exist in infertility status and treatment, and educational disparities in impaired fecundity. More study of the impact of infertility treatment mandates on these disparities is needed.
Bitler
Marianne
M
Public Policy Institute of California, San Francisco, California 95111, USA. bitler@ppic.org
Schmidt
Lucie
L
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D005260:Female; D019538:Health Care Surveys / Q000191:economics* / Q000331:legislation & jurisprudence; D006297:Health Services Accessibility / Q000191:economics* / Q000331:legislation & jurisprudence; D006801:Humans; D007247:Infertility, Female / Q000191:economics / Q000453:epidemiology* / Q000628:therapy; D019458:Insurance Coverage / Q000191:economics* / Q000331:legislation & jurisprudence; D007348:Insurance, Health / Q000191:economics / Q000331:legislation & jurisprudence; D016015:Logistic Models; D012959:Socioeconomic Factors; D013219:State Government; D014481:United States