Back

Unveiling Womens Experiences Amidst the COVID-19 Pandemic in Nigeria: An Interpretive phenomenological analysis.

Ndu, M.; Teachman, G.; Martin, J.; Nouvet, E.

2023-06-03 public and global health
10.1101/2023.05.30.23290724 medRxiv
Show abstract

BackgroundThe past three years have seen an increasing gap in health inequalities in Nigerias health systems, with many women having trouble accessing health care due to persistent social determinants of health. Studies indicate that the amplified impact of the pandemic is due to the lack of contextual focus on response plans. This study used an interpretive phenomenological analysis to analyze womens experiences with healthcare as the pandemic progressed in Nigeria. MethodsSemi-structured interviews were conducted between August to November 2022. It was supplemented with three focus group discussions with mothers. The mothers were purposively recruited for their experiences with health care during the pandemic. The analysis of the interviews followed the interpretive phenomenological analysis approach. ResultsTwenty-four women aged 15 to 49 years with children between 0 and 5 years participated in this study. These women reported mixed experiences during the pandemic, with many attributing positive health behaviours to the pandemic. Following analysis, four themes emerged: i) Influence of diversity of Healthcare Practices and Beliefs on health-seeking behaviour; ii) Unpacking Systemic Barriers to Seeking Timely and Appropriate Health Care Services; iii) Womens fear of contracting COVID-19; iv) Socioeconomic Burden for Holistic Health Care Delivery. ConclusionHealth planners must examine contextual factors that drive health usage, especially potentially changing gender dynamics ahead of the next pandemic. This paper examined womens decision to seek or not seek care, the type of care they received, and where they went for care. Women felt that the pandemic affected their decision to seek or not seek care. However, while they learned new behaviours that are now integrated into their daily lives, they also indicate that some behaviours are habitual and have persisted through the pandemic.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.