Evaluating the unevaluated: a secondary analysis of the National Survey for Family Growth (NSFG) examining infertile women who did not access care

Thakker, Sameer; Persily, Jesse; Voigt, Paxton; Blakemore, Jennifer K.; Licciardi, F.; Najari, Bobby B.

doi:10.1007/s10815-021-02149-6

Cited by 7 publications

(2 citation statements)

References 23 publications

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“…Another study found that men may spend between 24 and 79% of their annual income on fertility treatments. Thakker et al, 2021 [ 81 ] Retrospective database review National database n = 12,456 2011–2017 Infertility Race/ethnicity, income, education Race was associated with the use of infertility care. Unevaluated women were more likely to have less education and have lower household incomes.…”

Section: Resultsmentioning

confidence: 99%

“…In our sample, 22 studies examined education level and its varying associations to infertility treatment. Of the included studies, 14 found that higher levels of education were positively associated with receiving MAR treatment [ 27 , 34 , 38 – 40 , 45 , 54 , 64 , 69 , 72 , 73 , 78 , 81 , 84 ]. Five studies showed inconsistent associations between higher levels of education and various MAR outcomes [ 32 , 42 , 47 , 68 , 91 ].…”

Section: Resultsmentioning

confidence: 99%

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Inequities in Medically Assisted Reproduction: a Scoping Review

et al. 2023

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Infertility has a high prevalence in the USA and health inequities play a large role in access to medically assisted reproduction (MAR). The aim of this study was to identify gaps in research pertaining to inequities in MAR and propose suggestions for future research directions. Searches were performed using MEDLINE and Ovid Embase. Articles that reported on MAR inequities, published between 2016 and 2021 in the USA, and written in English were included. The inequities investigated were adapted from the NIH-designated health disparities populations. Each article’s inequity findings were extracted and reported, along with frequencies of inequities. Our sample included 66 studies. The majority of the studies investigated MAR outcomes by race/ethnicity and found that historically marginalized populations had poorer outcomes. LGBTQ + populations were less likely to use MAR or seek infertility care. Most studies found positive correlations with MAR use with income and education. The least commonly studied inequities in our sample were sex and/or gender and rural/under-resourced populations; findings showed that men and people from rural/under-resourced populations were less likely to access MAR. Studies that examined occupational status had varying findings. We suggest that future research be targeted toward: (1) standardizing and diversifying race/ethnicity reporting regarding MAR, (2) the use of community-based participatory research to increase data for LGBTQ + patients, and (3) increasing access to infertility care for men. Supplementary Information The online version contains supplementary material available at 10.1007/s43032-023-01236-6.

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