Medicine and Health Sciences Commons^™

Nutrition-Related Experiences Of Women With Perinatal Depression During The Covid-19 Pandemic: A Qualitative Study, Dahlia Stott, Cynthia Klobodu, Lisa A. Chiarello, Bobbie Posmontier, Mona Egohail, Pamela A. Geller, June Andrews Horowitz, Brandy-Joe Milliron

College of Nursing Faculty Papers & Presentations

Women with perinatal depression are at a high risk for unhealthy dietary behaviors but whether the coronavirus disease 2019 (COVID-19) pandemic has exacerbated this risk is unknown. Here we report the findings of a qualitative study exploring the impact of the COVID-19 pandemic on nutrition-related experiences of women with perinatal depression. Using a qualitative descriptive approach, in-depth interviews were conducted with 18 women with a history of perinatal depression and 10 healthcare providers. A semistructured format elicited how food and nutrition-related behaviors of women with perinatal depression were affected by the COVID-19 pandemic. Thematic analysis identified 4 themes related to …

What Were The Information Voids? A Qualitative Analysis Of Questions Asked By Dear Pandemic Readers Between August 2020-August 2021, Rachael Piltch-Loeb, Richard James, Sandra S. Albrecht, Alison M. Buttenheim, Jennifer Beam Dowd, Aparna Kumar, Malia Jones, Lindsey J. Leininger, Amanda Simanek, Shoshana Aronowitz

College of Nursing Faculty Papers & Presentations

In the current infodemic, how individuals receive information (channel), who it is coming from (source), and how it is framed can have an important effect on COVID-19 related mitigation behaviors. In light of these challenges presented by the infodemic, Dear Pandemic (DP) was created to directly address persistent questions related to COVID-19 and other health topics in the online environment. This is a qualitative analysis of 3806 questions that were submitted by DP readers to a question box on the Dear Pandemic website between August 30, 2020 and August 29, 2021. Analyses resulted in four themes: the need for clarification …

Dear Pandemic: A Topic Modeling Analysis Of Covid-19 Information Needs Among Readers Of An Online Science Communication Campaign., Aleksandra M Golos, Sharath Chandra Guntuku, Rachael Piltch-Loeb, Lindsey J Leininger, Amanda M Simanek, Aparna Kumar, Sandra S Albrecht, Jennifer Beam Dowd, Malia Jones, Alison M Buttenheim

College of Nursing Faculty Papers & Presentations

BACKGROUND: The COVID-19 pandemic was accompanied by an "infodemic"-an overwhelming excess of accurate, inaccurate, and uncertain information. The social media-based science communication campaign Dear Pandemic was established to address the COVID-19 infodemic, in part by soliciting submissions from readers to an online question box. Our study characterized the information needs of Dear Pandemic's readers by identifying themes and longitudinal trends among question box submissions.

METHODS: We conducted a retrospective analysis of questions submitted from August 24, 2020, to August 24, 2021. We used Latent Dirichlet Allocation topic modeling to identify 25 topics among the submissions, then used thematic analysis to …

Nurses' Pandemic Lives: A Mixed-Methods Study Of Experiences During Covid-19., Kathleen Gray, Paulette Dorney, Lori Hoffman, Albert Crawford

College of Nursing Faculty Papers & Presentations

BACKGROUND: The US healthcare settings and staff have been stretched to capacity by the COVID-19 pandemic. While COVID-19 continues to threaten global healthcare delivery systems and populations, its impact on nursing has been profound.

OBJECTIVES: This study aimed to document nurses' immediate reactions, major stressors, effective measures to reduce stress, coping strategies, and motivators as they provided care during COVID-19.

DESIGN: Mixed-methods, cross sectional design. Participants responded to objective and open-ended questions on the COVID-19 Nurses' Survey.

PARTICIPANTS: The survey, was sent to nurses employed in health care settings during the pandemic; 110 nurses participated.

RESULTS: Immediate reactions of respondents …