Germaine M Buck Louis1, Charlotte Druschel2, Erin Bell3, Judy E Stern4, Barbara Luke5, Alexander McLain6, Rajeshwari Sundaram7, Edwina Yeung8. 1. Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, Maryland. Electronic address: louisg@mail.nih.gov. 2. New York State Department of Health, Albany, New York. 3. Department of Environmental Health Sciences and Epidemiology, University at Albany, Albany, New York. 4. Department of Obstetrics and Gynecology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire. 5. Department of Obstetrics, Gynecology, and Reproductive Biology, Michigan State University, East Lansing, Michigan. 6. Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, South Carolina. 7. Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, Maryland. 8. Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, Maryland.
Abstract
OBJECTIVE: To assess the validity of maternally reported assisted reproductive technologies (ART) use and to identify predictors of reporting errors. DESIGN: Linkage study. SETTING: Not applicable. PATIENT(S): A total of 5,034 (27%) mothers enrolled, from whom 4,886 (97%) self-reported information about use of infertility treatment, including ART, for the index birth. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Four measures of validity (sensitivity, specificity, positive and negative predictive values) and use of net reclassification improvement (NRI) methods to identify predictors associated with concordant/discordant maternal reporting. RESULT(S): The Upstate New York Infant Development Screening Program (Update KIDS Study) was linked with the Society for Assisted Reproductive Technology Clinic Outcome Reporting System (SART CORS) using a defined algorithm for 2008-2010. The sensitivity, specificity, positive and negative predictive values were high (0.93, 0.99, 0.80, and 1.00, respectively). The validity of maternal report was high, reflecting few differences by participant characteristics except for maternal age dichotomized at 29 years as identified with NRI methods. CONCLUSION(S): Maternally reported ART is valid, with little variation across various characteristics. No strong predictors of discordant reporting were found, supporting the utility of population-based research with SART CORS linkage. Published by Elsevier Inc.
OBJECTIVE: To assess the validity of maternally reported assisted reproductive technologies (ART) use and to identify predictors of reporting errors. DESIGN: Linkage study. SETTING: Not applicable. PATIENT(S): A total of 5,034 (27%) mothers enrolled, from whom 4,886 (97%) self-reported information about use of infertility treatment, including ART, for the index birth. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Four measures of validity (sensitivity, specificity, positive and negative predictive values) and use of net reclassification improvement (NRI) methods to identify predictors associated with concordant/discordant maternal reporting. RESULT(S): The Upstate New York Infant Development Screening Program (Update KIDS Study) was linked with the Society for Assisted Reproductive Technology Clinic Outcome Reporting System (SART CORS) using a defined algorithm for 2008-2010. The sensitivity, specificity, positive and negative predictive values were high (0.93, 0.99, 0.80, and 1.00, respectively). The validity of maternal report was high, reflecting few differences by participant characteristics except for maternal age dichotomized at 29 years as identified with NRI methods. CONCLUSION(S): Maternally reported ART is valid, with little variation across various characteristics. No strong predictors of discordant reporting were found, supporting the utility of population-based research with SART CORS linkage. Published by Elsevier Inc.
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