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Utilization of Infertility Services: How Much Does Money Matter?
Open accessAbstract
OBJECTIVE: To estimate the effects of financial access and other individual characteristics on the likelihood that a woman pursues infertility treatment and the choice of treatment type. DATA SOURCE/STUDY SETTING: The 1995 National Survey of Family Growth. STUDY DESIGN: We use a binomial logit model to estimate the effects of financial access and individual characteristics on the likelihood that a woman pursues infertility treatment. We then use a multinomial logit model to estimate the differential effects of these variables across treatment types. DATA COLLECTION/EXTRACTION METHOD: This study analyzes the subset of 1,210 women who meet the definition of infertile or subfecund from the 1995 National Survey of Family Growth. PRINCIPAL FINDINGS: We find that income, insurance coverage, age, and parity (number of previous births) all significantly affect the probability of seeking infertility treatment; however, the effect of these variables on choice of treatment type varies significantly. Neither income nor insurance influences the probability of seeking advice, a relatively low cost, low yield treatment. At the other end of the spectrum, the choice to pursue assisted reproductive technologies (ARTs)-a much more expensive but potentially more productive option-is highly influenced by income, but merely having private insurance has no significant effect. In the middle of the spectrum are treatment options such as testing, surgery, and medications, for which "financial access" increases their probability of selection. CONCLUSIONS: Our results illustrate that for the sample of infertile of subfecund women of childbearing age studied, and considering their options, financial access to infertility treatment does matter.
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“Since women who seek a medical evaluation for infertility differ from those women who do not on important demographic, lifestyle, and access factors (Farland, under review for publication) (10–18) additional analyses of infertility type were conducted using male factor infertility as the reference group.”
From Infertility, fertility treatment, and risk of hypertension (2015) · cites this paper as [14]
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A public health focus on infertility prevention, detection, and management
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Time costs of fertility care: the hidden hardship of building a family
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Metadata
- Authors
- Farley Ordovensky Staniec, J., & Webb, N. J.
- Affiliations
- University of the Pacific (US)
- Venue
- Health Services Research
- Publisher
- Wiley
- Published
- 2006-09-25
- Volume
- 42
- Issue
- 3p1
- Pages
- 971-989
- ISSN
- 0017-9124 (ISSN-L)
- 1475-6773
- PMC
- PMC1955265
- OpenAlex
- W2084742322
- Cited by
- 120
- References
- 19
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 6 · 2023: 13 · 2022: 9 · 2021: 4 · 2020: 7 · 2019: 2 · 2018: 3 · 2017: 3 · 2016: 6 · 2015: 10 · 2014: 6 · 2013: 8 · 2012: 6
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Health Services Research (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School) (submittedVersion)
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Reproductive Health and Technologies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Reproductive Health and Contraception
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Keywords
- infertility treatment, access to finance, health insurance coverage, income, treatment selection, assisted reproduction, parity, age, health care utilization, National Survey of Family Growth
- MeSH terms
- Adolescent, Adult, Age Factors, Ambulatory Care Facilities, Choice Behavior, Female, Health Services Accessibility, Humans, Infertility, Female, Parity, Patient Acceptance of Health Care, Pregnancy, United States, Models, Statistical, Logistic Models, Health Care Costs, Insurance Coverage, Health Care Surveys, Reproductive Techniques, Assisted, Reproductive Health Services
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