The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
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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Cites
Singha, T. M. (2003) · Journal of Nepal Medical Association · doi:10.31729/jnma.1154 · Cited by 587
Zuvekas, S. H., & Taliaferro, G. (2003) · Health Affairs · doi:10.1377/hlthaff.22.2.139 · Cited by 332
Insurance Coverage and Outcomes of in Vitro Fertilization
Jain, T., Harlow, B. L., & Hornstein, M. D. (2002) · New England Journal of Medicine · doi:10.1056/nejmsa013491 · Cited by 310
Insurance Coverage and Outcomes of in Vitro Fertilization
Reynolds, M. A., Schieve, L. A., & Peterson, H. B. (2003) · New England Journal of Medicine · doi:10.1056/nejm200303063481019 · Cited by 211
Use of infertility services in the United States: 1995
Stephen, E. H., & Chandra, A. (2000) · Family Planning Perspectives · doi:10.2307/2648162 · Cited by 166
Use of infertility services in the United States.
Wilcox, L. S., & Mosher, W. D. (1993) · PubMed · Cited by 132
Infertility: Predicting and optimizing success in an intra-uterine insemination programme
Plosker, S. M., Jacobson, W., & Amato, P. (1994) · Human Reproduction · doi:10.1093/oxfordjournals.humrep.a138385 · Cited by 88
Maternal and child health. Infertility: from a personal to a public health problem
Fidler, A. T. (1999) · Public Health Reports · doi:10.1093/phr/114.6.494 · Cited by 84
Funding in vitro fertilization treatment for persistent subfertility: the pain and the politics
Hughes, E. G., & Giacomini, M. K. (2001) · Fertility and Sterility · doi:10.1016/s0015-0282(01)01928-8 · Cited by 75
Cost-effective treatment of the infertile couple
Voorhis, B. J. V., Stovall, D. W., Allen, B. D., & Syrop, C. H. (1998) · Fertility and Sterility · doi:10.1016/s0015-0282(98)00341-0 · Cited by 64
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- 2003, Assisted Reproductive Technology Success Rates: National Summary and Fertility Clinic Reports
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Chambers, G. M. (2011) · De Gruyter eBooks · doi:10.1515/9783110240214.371
The Efficiency of a Group-Specific Mandated Benefit Revisited: The Effect of Infertility MandatesPreprint
Lahey, J. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1856683
Guo, S., Zhang, J., & McLain, A. C. (2024) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.1093/jrsssc/qlae039
Widening the Horizon of the Phenomenon of Infertility with Clarity and Compassionate Accompaniment
Davies, B. C. (2024) · Persona y Bioética · doi:10.5294/pebi.2024.28.1.9
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Shreffler, K. M., & Joachims, C. N. (2024) · Springer eBooks · doi:10.1007/978-3-031-56681-3_65
Falling birthrate and rising C-section: Post-pandemic evidence from New York
Rabbani, M., & Akbari, Z. (2025) · Ethics Medicine and Public Health · doi:10.1016/j.jemep.2025.101174
The Impact of Economic and Sociocultural Factors in Seeking Fertility Services
Bhatnagar, G., Chanos, A., Kodavarti, S. D., & Dayal, M. B. (2025) · Springer eBooks · doi:10.1007/978-3-031-96356-8_4
Iba, A., Maeda, E., Jwa, S. C., Yanagisawa‐Sugita, A., Saito, K., Kuwahara, A., Saito, H., Terada, Y., Ishihara, O., & Kobayashi, Y. (2021) · Figshare · doi:10.6084/m9.figshare.15102877
He, X., Wang, X., Shen, J., Wan, B., Wang, Y., Zhang, Z., Cai, L., Bao, Y., Ding, H., & Li, X. (2023) · Figshare · doi:10.6084/m9.figshare.22637981
He, X., Wang, X., Shen, J., Wan, B., Wang, Y., Zhang, Z., Cai, L., Bao, Y., Ding, H., & Li, X. (2023) · Figshare · doi:10.6084/m9.figshare.22637975
He, X., Wang, X., Shen, J., Wan, B., Wang, Y., Zhang, Z., Cai, L., Bao, Y., Ding, H., & Li, X. (2023) · Figshare · doi:10.6084/m9.figshare.22637984
He, X., Wang, X., Shen, J., Wan, B., Wang, Y., Zhang, Z., Cai, L., Bao, Y., Ding, H., & Li, X. (2023) · Figshare · doi:10.6084/m9.figshare.22637978
He, X., Wang, X., Shen, J., Wan, B., Wang, Y., Zhang, Z., Cai, L., Bao, Y., Ding, H., & Li, X. (2023) · Figshare · doi:10.6084/m9.figshare.22637972
Ainsworth, A. J., Missmer, S. A., Barbieri, R. L., & GOLDMAN, M. B. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-45863-7.00027-5
Fertility and mental health: The psychological toll of childbearing
Onal, S. O., & Onal, C. (2026) · Economics & Human Biology · doi:10.1016/j.ehb.2026.101651
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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