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Concerns of women regarding pregnancy and childbirth during the COVID-19 pandemic

ABSTRACT: Highlights • Pregnant and recently delivered women reported behavior changes due to COVID-19.• Preventive measures (e.g. social distancing) were used by respondents.• Negative changes in mental health, such as increased stress, were also reported.• Employment and fiscal security decreased; postpartum alcohol consumption increased.• Healthcare access remained stable for most. Objective Better understand knowledge, attitudes and practices of pregnant women and mothers of infants around coronavirus disease 2019 (COVID-19). Methods A 58-item electronic survey was distributed to pregnant and postpartum women (infants <12 months) who were >15 years, English-speaking and enrolled in prenatal programs. Data is summarized using central tendency, frequencies and nonparametric statistics. Results Of 114 (51 % response rate) participants, 82.5 % reported negative changes in mental status measures (e.g. stress, anxious thoughts, changes in sleep patterns). All reported risk-reduction behavior changes (e.g. handwashing/use of sanitizer, social distancing). Significant changes were reported in employment and financial status due to the pandemic. Increases in alcohol consumption among postpartum women were also reported. Few reported changes in prenatal, infant or postpartum healthcare access. Conclusion This study provides initial insight into the knowledge, attitudes and practices of pregnant and postpartum women during the COVID-19 pandemic. This study is limited as participants represent a single Midwest community and social desirability response bias may have impacted responses. However, results may inform future interventions to support pregnant women and mothers of infants during pandemics. Practice implications Providers should consider the impact of such events on mental status, access to resources and changes in behaviors.

SUBMITTER: Ahlers-Schmidt C

PROVIDER: S-EPMC7515599 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND:The recent coronavirus disease (COVID-19) pandemic is taking a toll on the world's health care infrastructure as well as the social, economic, and psychological well-being of humanity. Individuals, organizations, and governments are using social media to communicate with each other on a number of issues relating to the COVID-19 pandemic. Not much is known about the topics being shared on social media platforms relating to COVID-19. Analyzing such information can help policy makers and health care organizations assess the needs of their stakeholders and address them appropriately. OBJECTIVE:This study aims to identify the main topics posted by Twitter users related to the COVID-19 pandemic. METHODS:Leveraging a set of tools (Twitter's search application programming interface (API), Tweepy Python library, and PostgreSQL database) and using a set of predefined search terms ("corona," "2019-nCov," and "COVID-19"), we extracted the text and metadata (number of likes and retweets, and user profile information including the number of followers) of public English language tweets from February 2, 2020, to March 15, 2020. We analyzed the collected tweets using word frequencies of single (unigrams) and double words (bigrams). We leveraged latent Dirichlet allocation for topic modeling to identify topics discussed in the tweets. We also performed sentiment analysis and extracted the mean number of retweets, likes, and followers for each topic and calculated the interaction rate per topic. RESULTS:Out of approximately 2.8 million tweets included, 167,073 unique tweets from 160,829 unique users met the inclusion criteria. Our analysis identified 12 topics, which were grouped into four main themes: origin of the virus; its sources; its impact on people, countries, and the economy; and ways of mitigating the risk of infection. The mean sentiment was positive for 10 topics and negative for 2 topics (deaths caused by COVID-19 and increased racism). The mean for tweet topics of account followers ranged from 2722 (increased racism) to 13,413 (economic losses). The highest mean of likes for the tweets was 15.4 (economic loss), while the lowest was 3.94 (travel bans and warnings). CONCLUSIONS:Public health crisis response activities on the ground and online are becoming increasingly simultaneous and intertwined. Social media provides an opportunity to directly communicate health information to the public. Health systems should work on building national and international disease detection and surveillance systems through monitoring social media. There is also a need for a more proactive and agile public health presence on social media to combat the spread of fake news.

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Concerns of women regarding pregnancy and childbirth during the COVID-19 pandemic

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