During the first wave of the COVID-19 pandemic in the spring of 2020, the government of the Czech Republic issued a nationwide ban on visitors to maternity wards. We studied whether the absence of a close person during labor due to this ban impacted perinatal indicators. This study was performed using an administrative observational questionnaire focused on absolute frequencies of events sent to maternity facilities across the Czech Republic. Completed answers were received from 33 facilities covering 4805 births during the study period in 2019 and 4514 births in 2020. The differences in individual parameters were tested using Pearson's chi-squared homogeneity test. There were no significant differences between the two periods in spontaneous pre-term births ( = 0.522) or in the number of cesarean sections ( = 0.536). No significant changes were seen in either local or systemic analgesia. Data showed a significantly shorter ( = 0.026) first stage of labor in 2020 compared to 2019, while there was no significant difference ( = 0.673) in the second stage of labor. There was no statistically significant difference found for newborn perinatal adaptation. There were also no significant differences in intrapartum maternal injuries. Overall, we found no significant differences in basic perinatal indicators during the first wave of COVID-19 in 2020 compared to 2019. Although the absence of a close person may cause stress for the laboring women, it does not impair objective clinical outcomes.
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http://dx.doi.org/10.3390/ijerph20032614 | DOI Listing |
Am J Manag Care
January 2025
Institute of Health Policy and Management and Master of Public Health Program, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei 100, Taiwan. Email:
Objectives: Patients who revisit the emergency department (ED) shortly after discharge are a high-risk group for complications and death, and these revisits may have been seriously affected by the COVID-19 pandemic. Detecting suspected COVID-19 cases in EDs is resource intensive. We examined the associations of screening workload for suspected COVID-19 cases with in-hospital mortality and intensive care unit (ICU) admission during short-term ED revisits.
View Article and Find Full Text PDFAm J Public Health
January 2025
Yin Wang, Kevin Callison, and Charles Stoecker are with the Department of Health Policy and Management and Julie H. Hernandez is with the Department of International Health and Sustainable Development, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
To assess the impact of state COVID-19 vaccine mandates for health care workers (HCWs) on health sector employment in the United States. Using monthly state-level employment data from the Quarterly Census of Employment and Wages between January and October 2021, we employed a partially pooled synthetic control method that accounted for staggered mandate adoption and heterogeneous treatment effects. We conducted analyses separately for the 4 health care subsectors-ambulatory health care services, hospitals, nursing and residential care, and social assistance-with an additional analysis of 2 industry groups-skilled nursing care and community care for the elderly-under the nursing and residential care subsector.
View Article and Find Full Text PDFAm J Public Health
January 2025
Stacey L. Rowe is with the School of Nursing and Health Professions, University of San Francisco, San Francisco, CA. Sheena G. Sullivan is with the School of Clinical Sciences, Monash University, Melbourne, Australia. Flor M. Munoz is with the Department of Pediatrics, Baylor College of Medicine, Houston, TX. Matthew M. Coates and Onyebuchi A. Arah are with the Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles. Annette K. Regan is with the Department of Research and Evaluation, Kaiser Permanente Research, Pasadena, CA.
To estimate maternal COVID-19, influenza, and pertussis vaccine uptake during pregnancy by insurance type and identify factors characterizing those vaccinated and unvaccinated. We conducted a US cohort study of pregnant individuals (for pregnancies ending December 11, 2020-September 30, 2022) using insurance claims data. We calculated vaccination probability using Kaplan-Meier methods and identified factors associated with vaccination through binomial regression with inverse probability weights.
View Article and Find Full Text PDFJCO Glob Oncol
January 2025
Department of Surgery, American University of Beirut, Beirut, Lebanon.
Purpose: We aimed to evaluate the impact of COVID-19 on breast cancer care in terms of the stage at presentation, treatment delays, and follow-up in a tertiary care center in Lebanon.
Materials And Methods: This retrospective study compared patients with breast cancer who presented to a tertiary care center in Lebanon before (September 2019-December 2019) and during (September 2020-December 2020) the COVID-19 pandemic. We extracted data from the electronic medical records of patients with breast cancer who had their initial presentation, were under treatment, or were on follow-up during our period of interest.
Soft comput
August 2024
Department of Computer Engineering, Adana Alparslan Turkes Science and Technology University, Adana, Turkey.
[This retracts the article DOI: 10.1007/s00500-022-07798-y.].
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