No abstract

The COVID-19 pandemic has transformed the health care landscape and shifted individuals’ expectations for and interactions with essential health services, including pregnancy-related care. This study explores alterations to individuals’ pregnancy and childbirth decisions during an infectious disease pandemic. A convenience sample of 380 pregnant individuals with an expected delivery date between April and December 2020 consented to enroll and complete an online questionnaire on their pregnancy and childbirth expectations during the COVID-19 pandemic; a subset of respondents ( n = 18) participated in semi-structured phone interviews. Survey data were analyzed quantitatively while interview data were analyzed using a thematic content analysis until a consensus on key themes was achieved. Respondents reported substantial stressors related to shifting policies of health care facilities and rapidly changing information about COVID-19 disease risks. As a result, respondents considered modifying their prenatal and childbirth plans, including the location of their birth (25%), health care provider (19%), and delivery mode (13%). These findings illuminate the concerns and choices pregnant individuals face during the COVID-19 pandemic and offer recommendations to engage in compassionate, supportive, and person-centered care during a time of unprecedented risk and uncertainty.

Introduction: A previous study was conducted to examine the relationship between poor air quality in the form of PM2.5 exposure and COVID-19 morbidity and mortality in Yakima County, Washington (USA). Results showed there was a significant correlation (p<0.05) between PM2.5 exposure and COVID-19 hospitalization and mortality in the 12-day lag analysis, however it was not clear if this association remains consistent over time. The purpose of this study was to analyze a second year of PM2.5 exposure and COVID-19 morbidity and mortality in a population significantly impacted by poor air quality (PM2.5) and high COVID-19 morbidity to determine whether the findings of the previous study could be confirmed. Methods: A 12-day lag analysis correlating PM2.5 levels and county-level COVID-19 case counts, hospitalization, and mortality was conducted using Pearson correlation between the period of February 1, 2021 and December 20, 2021 in Yakima, County, Washington, USA. Results: PM2.5 was found to be significantly correlated (p<.011) to COVID-19 morbidity (r = 0.38), hospitalization (r = 0.41), and mortality (r = 0.18). Discussion: This study expands upon and confirm previous preliminary findings examining the association between poor air quality exposure and negative COVID-19 outcomes. Populations exposed to long-term PM2.5 may need additional safeguards from COVID-19 as they may have a higher risk of infection, hospitalization, and mortality.