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1.
Am J Obstet Gynecol MFM ; 3(5): 100403, 2021 09.
Article in English | MEDLINE | ID: covidwho-1326902

ABSTRACT

BACKGROUND: Although mass vaccination against COVID-19 may prove to be the most efficacious end to this deadly pandemic, there remain concern and indecision among the public toward vaccination. Because pregnant and reproductive-aged women account for a large proportion of the population with particular concerns regarding vaccination against COVID-19, this survey aimed at investigating their current attitudes and beliefs within our own institution. OBJECTIVE: This study aimed to understand vaccine acceptability among pregnant, nonpregnant, and breastfeeding respondents and elucidate factors associated with COVID-19 vaccine acceptance. STUDY DESIGN: We administered an anonymous online survey to all women (including patients, providers, and staff) at our institution assessing rates of acceptance of COVID-19 vaccination. Respondents were contacted in 1 of 3 ways: by email, advertisement flyers, and distribution of quick response codes at virtual town halls regarding the COVID-19 vaccine. Based on their responses, respondents were divided into 3 mutually exclusive groups: (1) nonpregnant respondents, (2) pregnant respondents, and (3) breastfeeding respondents. The primary outcome was acceptance of vaccination. Prevalence ratios were calculated to ascertain the independent effects of multiple patient-level factors on vaccine acceptability. RESULTS: The survey was administered from January 7, 2021, to January 29, 2021, with 1012 respondents of whom 466 (46.9%) identified as non-Hispanic White, 108 (10.9%) as non-Hispanic Black, 286 (28.8%) as Hispanic, and 82 (8.2%) as non-Hispanic Asian. The median age was 36 years (interquartile range, 25-47 years). Of all the respondents, 656 respondents (64.8%) were nonpregnant, 216 (21.3%) were pregnant, and 122 (12.1%) were breastfeeding. There was no difference in chronic comorbidities when evaluated as a composite variable (Table 1). A total of 390 respondents (39.2%) reported working in healthcare. Nonpregnant respondents were most likely to accept vaccination (457 respondents, 76.2%; P<.001) with breastfeeding respondents the second most likely (55.2%). Pregnant respondents had the lowest rate of vaccine acceptance (44.3%; P<.001). Prevalence ratios revealed all non-White races except for non-Hispanic Asian respondents, and Spanish-speaking respondents were less likely to accept vaccination (Table 3). Working in healthcare was not found to be associated with vaccine acceptance among our cohort. CONCLUSION: In this survey study of only women at a single institution, pregnant respondents of non-White or non-Asian races were more likely to decline vaccination than nonpregnant and breastfeeding respondents. Working in healthcare was not associated with vaccine acceptance.


Subject(s)
COVID-19 Vaccines , COVID-19 , Adult , Breast Feeding , Female , Humans , Pregnancy , SARS-CoV-2 , Vaccination
3.
Am J Perinatol ; 37(10): 1005-1014, 2020 08.
Article in English | MEDLINE | ID: covidwho-592040

ABSTRACT

OBJECTIVE: This study aimed to (1) determine to what degree prenatal care was able to be transitioned to telehealth at prenatal practices associated with two affiliated hospitals in New York City during the novel coronavirus disease 2019 (COVID-19) pandemic and (2) describe providers' experience with this transition. STUDY DESIGN: Trends in whether prenatal care visits were conducted in-person or via telehealth were analyzed by week for a 5-week period from March 9 to April 12 at Columbia University Irving Medical Center (CUIMC)-affiliated prenatal practices in New York City during the COVID-19 pandemic. Visits were analyzed for maternal-fetal medicine (MFM) and general obstetrical faculty practices, as well as a clinic system serving patients with public insurance. The proportion of visits that were telehealth was analyzed by visit type by week. A survey and semistructured interviews of providers were conducted evaluating resources and obstacles in the uptake of telehealth. RESULTS: During the study period, there were 4,248 visits, of which approximately one-third were performed by telehealth (n = 1,352, 31.8%). By the fifth week, 56.1% of generalist visits, 61.5% of MFM visits, and 41.5% of clinic visits were performed via telehealth. A total of 36 providers completed the survey and 11 were interviewed. Accessing technology and performing visits, documentation, and follow-up using the telehealth electronic medical record were all viewed favorably by providers. In transitioning to telehealth, operational challenges were more significant for health clinics than for MFM and generalist faculty practices with patients receiving public insurance experiencing greater difficulties and barriers to care. Additional resources on the patient and operational level were required to optimize attendance at in-person and video visits for clinic patients. CONCLUSION: Telehealth was rapidly implemented in the setting of the COVID-19 pandemic and was viewed favorably by providers. Limited barriers to care were observed for practices serving patients with commercial insurance. However, to optimize access for patients with Medicaid, additional patient-level and operational supports were required. KEY POINTS: · Telehealth uptake differed based on insurance.. · Medicaid patients may require increased assistance for telehealth.. · Quick adoption of telehealth is feasible..


Subject(s)
Coronavirus Infections/prevention & control , Health Personnel/organization & administration , Pandemics/statistics & numerical data , Patient Safety/statistics & numerical data , Pneumonia, Viral/prevention & control , Prenatal Care/methods , Telemedicine/statistics & numerical data , Academic Medical Centers , Adult , Attitude of Health Personnel , COVID-19 , Coronavirus Infections/epidemiology , Evaluation Studies as Topic , Female , Gestational Age , Humans , Infection Control/methods , Medicaid/statistics & numerical data , New York City , Pandemics/prevention & control , Pneumonia, Viral/epidemiology , Pregnancy , Qualitative Research , Telemedicine/trends , Transitional Care/organization & administration , United States
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