Cited by 92Reproductive Health and TechnologiesReproductive Health and ContraceptionHealth Education and Validation

Low fertility awareness in United States reproductive-aged women and medical trainees: creation and validation of the Fertility & Infertility Treatment Knowledge Score (FIT-KS)

Open access
Kudesia, Rashmi, Chernyak, Elizabeth, McAvey, Beth·2017·Fertility and Sterility

Abstract

Objective To create, validate, and use a fertility awareness survey based on current U.S. Data Design Cross-sectional study. Setting Not applicable. Patient(s) Phase 1 included U.S. women ages 18-45; phase 2 included female medical students and obstetrics and gynecology trainees at two urban academic programs. Intervention(s) Survey including demographics, the Fertility & Infertility Treatment Knowledge Score (FIT-KS) instrument, and General Nutrition Knowledge Questionnaire. Main outcome measure(s) Knowledge of natural fertility and infertility treatments. Result(s) The FIT-KS was validated through detailed item and validity analyses. In phase 1, 127 women participated; their median age was 31 years, and 43.7% had children. Their mean FIT-KS score was 16.2 ± 3.5 (55.9% correct). In phase 2, 118 medical trainees participated; their median age was 25 years, and 12.4% had children. Their mean FIT-KS score was 18.8 ± 2.1 (64.9% correct), with year of training correlating to a higher score (r=0.40). Participant awareness regarding lifestyle factors varied, but it was particularly low regarding the effects of lubricants. The majority underestimated the spontaneous miscarriage rate and overestimated the fecundability of 40-year-old women. There was general overestimation of success rates for assisted reproductive technologies, particularly among medical trainees. Conclusion(s) The FIT-KS is validated to current U.S. data for use in both general and medical populations as a quick assessment of fertility knowledge. The knowledge gaps demonstrated in this study correlate with national trends in delayed childbearing and time to initiate treatment. For medical trainees, these results raise concerns about the quality of fertility counseling they may be able to offer patients. Greater educational outreach must be undertaken to enhance fertility awareness.

Integrity signals

Registry

Crossref · 10.1016/j.fertnstert.2017.07.1158

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • There is a lack of understanding regarding fertility, even in women seeking to conceive.

    “There is a lack of understanding regarding fertility, even in women seeking to conceive (Kudesia et al. 2017).”

    From Real-life insights on menstrual cycles and ovulation using big data (2020) · cites this paper as Kudesia et al. 2017

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Kudesia, R., Chernyak, E., & McAvey, B.
Affiliations
Albert Einstein College of Medicine (US)
Corresponding author
Kudesia, Rashmi
Venue
Fertility and Sterility
Publisher
Elsevier BV
Published
2017-10
Volume
108
Issue
4
Pages
711-717
ISSN
0015-0282 (ISSN-L)
OpenAlex
W2755151657
Cited by
92
References
18
Citations by year
2026: 4 · 2025: 13 · 2024: 12 · 2023: 16 · 2022: 8 · 2021: 10 · 2020: 10 · 2019: 11 · 2018: 7 · 2017: 1
FWCI
9.21
Type
journal article
Language
en
Open access
Locations
  • Fertility and Sterility (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (UL1TR001073)
  • National Center for Advancing Translational Sciences
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 › Education › Health Education and Validation
Keywords
fertility awareness, instrument validation, women of reproductive age, medical trainees, fertility counseling, fecundability, lubricants, delayed childbearing
MeSH terms
Adolescent, Adult, Awareness, Cross-Sectional Studies, Educational Measurement, Female, Gynecology, Humans, Infertility, Female, Health Knowledge, Attitudes, Practice, Middle Aged, Obstetrics, Surveys and Questionnaires, Reproduction, Research Design, Students, Medical, United States, Reproductive Techniques, Assisted, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review