Seasonal fluctuation of in vitro fertilization encounters in the United States

Autor: Alexandra M. McGough, Kaitlin A. Doody, Olivia B. Foy, Chelsey A. Harris, Rachel S. Mandelbaum, Koji Matsuo, Richard J. Paulson
Rok vydání: 2023
Předmět:
Zdroj: Journal of Assisted Reproduction and Genetics.
ISSN: 1573-7330
1058-0468
Popis: Purpose To examine patient and hospital characteristics related to seasonal fluctuation in in vitro fertilization (IVF). Methods This retrospective cohort study examined 33,077 oocyte retrievals identified in the National Ambulatory Surgery Sample. Exposure assignment was monthly IVF encounters: low-volume months (75%ile). Main outcomes were patient and hospital characteristics related to the exposure groups, assessed with a multinomial regression model. Results The median IVF encounters were 977 per month, ranging from 657 to 1074 (absolute-difference 417). January, July, and December were the lowest-quartile volume months, ranging from 657 to 710 encounters per month (low-volume months). May, August, and November were the top-quartile volume months, ranging from 1049 to 1074 encounters per month (high-volume months). In a multivariable analysis, patients undergoing IVF in the low-volume months were younger and less likely to have infertility or comorbidities. Patients undergoing IVF in the high-volume months were more likely to have lower household income and receive IVF at urban teaching facilities. Northeastern residents were less likely to have IVF in the low-volume months but more likely to have IVF in the high-volume months. Sensitivity analyses showed that the lowest-to-highest variability in monthly IVF encounters was higher in Northeast region compared to other regions (320 vs 50–128); infertility patients compared to those without (317 vs 190); privately insured patients compared to self-pay (227 vs 156); and older patients compared to younger (234 vs 192). Conclusion This study suggests substantial seasonal fluctuation in IVF oocyte retrieval in the USA based on patient and hospital factors.
Databáze: OpenAIRE
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