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Methods for a Retrospective Population-based and Clinic-based Subfertility Cohort Study: the Fertility Experiences
Joseph B Stanford1,2, Jessica N Sanders1,2, Sara E Simonsen1
1Office of Cooperative Reproductive Health, Division of Public Health, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT.
Population-based sampling for subfertility research captures women with less intensive treatment. However, women with a live birth are more likely to respond to recruitment in both clinic-based and population-based studies.
Area of Science:
- Reproductive Health
- Epidemiology
- Biostatistics
Background:
- Subfertility research often relies on clinic-based cohorts, potentially limiting generalizability.
- Population-based cohorts offer a broader perspective on subfertility prevalence and characteristics.
Purpose of the Study:
- To compare characteristics of subfertile women recruited through clinic-based versus population-based sampling.
- To assess response rates in retrospective cohort recruitment based on sampling method and live birth outcomes.
Main Methods:
- Retrospective recruitment of parallel cohorts of subfertile women (clinic-based and population-based).
- Index dates between 2000-2009, linked to birth records through December 2010.
- Comparison of demographic, socioeconomic, and treatment characteristics between cohorts.
Main Results:
- Clinic-based cohort (459 women) differed from population-based (501 women) in age, income, and treatment intensity (e.g., in vitro fertilization rates).
- Population-based recruitment identified women with less intensive or no medical treatment more frequently.
- Higher response rates observed among women who had a live birth, irrespective of sampling method.
Conclusions:
- Population-based sampling is valuable for identifying subfertile women with diverse treatment experiences.
- Live birth status significantly influences response rates in retrospective subfertility research.
- Findings highlight the importance of considering sampling methodology in subfertility cohort studies.
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