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1.
Fertil Steril ; 116(4): 980-987, 2021 10.
Article in English | MEDLINE | ID: covidwho-1313111

ABSTRACT

OBJECTIVE: To evaluate the prevalence of coronavirus disease 2019 (COVID-19) and efficacy of a universal screening program in patients undergoing controlled ovarian stimulation (COS). DESIGN: Single-center retrospective cohort study. SETTING: Academic fertility center in an epicenter of the COVID-19 pandemic. PATIENT(S): All patients undergoing COS from June 17, 2019, to February 28, 2021. INTERVENTION(S): Universal COVID-19 screening starting June 17, 2020, with SARS-CoV-2 polymerase chain reaction testing within 5 days of oocyte retrieval, patient-reported symptom screening, and temperature monitoring. MAIN OUTCOMES MEASURE(S): The primary outcome was the number of positive COVID-19 cases in patients undergoing COS cycles. The secondary outcomes were cycle outcomes compared with before COVID-19 COS cycles, adverse outcomes in COVID-canceled cycles, and center-specific COVID-19 detection rates compared with New York City cases. RESULT(S): From June 17, 2020, to February 28, 2021, 1,696 COS cycles were initiated with only seven positive COVID-19 cases for an overall positivity rate of 0.4%. When compared with before COVID cycles from June 17, 2019, to February 28, 2020, the volume of COS cycles were higher, while the overall cycle cancelation rate was lower during COVID-19. Cycle outcomes including oocyte yield and blast utilization rates were unchanged from pre-COVID cycles. Cases of COVID-19, while very low, occurred more frequently during surges in New York City rates. CONCLUSION(S): Assisted reproductive technology can be performed during the COVID-19 pandemic utilizing frequent universal screening and safe practices with low SARS-CoV-2 positivity, low cycle cancelation rates, and positive patient outcomes.


Subject(s)
COVID-19/diagnosis , Fertility Clinics/standards , Mass Screening/methods , Polymerase Chain Reaction/methods , Reproductive Techniques, Assisted/standards , SARS-CoV-2/isolation & purification , Adult , COVID-19/epidemiology , Cohort Studies , Female , Fertile Period/physiology , Humans , New York City/epidemiology , Pandemics , Retrospective Studies
2.
J Assist Reprod Genet ; 38(7): 1809-1817, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1188135

ABSTRACT

PURPOSE: To study how SART-member fertility clinics communicated via clinic websites during the first wave of the COVID-19 pandemic following publication of ASRM COVID-19 Task Force recommendations. METHODS: SART-member fertility clinic websites were systematically surveyed for the presence of an REI-specific COVID-19 message (REI-CM) and analyzed for their adherence to ASRM guidance. RESULTS: Of the 381 active clinic websites, 249 (65.3%) had REI-specific COVID messaging. The presence of REI-CM was more common in private than in academic practices (73% vs 38%, p < 0.001) and with increasing practice volume: 38% of clinics with < 200 annual cycles vs 91% of clinics with > 1000 cycles (p < 0.001). Adherence to ASRM guidance was more common in academic than in private practices (54% vs 31%, p = 0.02). Additionally, 9% of REI-CM (n = 23) announced continued treatment regardless of a patient's clinical urgency. This messaging was more common in groups doing > 1000 cycles a year (18%, p = 0.009). Clinics treating all-comers were less likely to cite ASRM than other clinics (41% vs 62%, p = 0.045). However, 75% (n = 14) cited COVID-19 guidance from WHO, CDC, and state and local governments. CONCLUSIONS: Clinic response to ASRM recommendations during the first wave of COVID-19 pandemic was heterogeneous. Although academic practices were more likely to follow ASRM guidance, there was a lower extent of patient-facing messaging among academic practices than private clinics. In event of further escalations of this and future pandemics, clinics can learn from experiences to provide clear messaging to patients.


Subject(s)
COVID-19/prevention & control , Communication , Fertility Clinics/standards , Infertility/therapy , Reproductive Medicine/standards , SARS-CoV-2/physiology , Telemedicine/statistics & numerical data , COVID-19/epidemiology , COVID-19/virology , Humans
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