Implementing American College of Obstetricians and Gynecologists Outpatient Antepartum Testing Recommendations: Can Your Clinic Handle It?

Abstract

Objective This study was conducted to determine the difference in the number of pregnancies that would qualify for outpatient fetal testing between our current academic practice and that of the 2021 American College of Obstetricians and Gynecologists (ACOG) antepartum recommendations. Study Design We performed a retrospective study of all pregnancies that delivered and received prenatal care at our institution between January 1, 2019, and May 31, 2021. The timing and amount of outpatient antepartum testing was determined for each patient. Our current antepartum testing guidelines (clinic protocol) were compared with the 2021 ACOG recommendations (ACOG protocol). Statistical analysis was performed with descriptive statistics and z scoring to compare the total amount of antepartum testing utilized with each protocol. Results A total of 1,335 pregnancies were included in the study. With the ACOG protocol, an additional 310 (23.2%) of pregnancies would qualify for antepartum testing (57.8% with ACOG protocol vs. 34.6% with clinic protocol). Most of the increased testing was due to maternal age with additional risk factors, hypertensive disorders, diabetes, prepregnancy body mass index ≥ 35, and complex fetal anomalies or aneuploidies. Overall, the ACOG protocol would require an additional 570 antepartum tests (z-score = 4.04, p = 0.000005) over the study period, which is equivalent to 19 additional tests per month and 5 per week. Only nine stillbirths occurred during this time, of which two would have had antepartum testing with both protocols, one would have only had testing per ACOG, and two would have had testing individualized per ACOG. Conclusion More pregnancies would require outpatient antenatal testing with adoption of the ACOG protocol. A 23% increase in testing would equate to five additional antepartum tests per week. Although this study cannot assess the clinical impact of additional testing, minimal scheduling resources are needed to accommodate this increase. Key Points