Dataset for Household-Level Financial and Psycho-Social Impacts of Severe COVID-19: A Case Study on Middle and Lower-Middle Income Families

This repository contains the de-identified qualitative data supporting a study on the household-level financial and psycho-social impacts of severe COVID-19 in Bangladesh. The study explored out-of-pocket medical expenditures, financial coping strategies, and psycho-social challenges experienced by middle- and lower-middle-income households following hospitalization for severe COVID-19. Data were collected through in-depth interviews with 11 patients and their family members selected using predefined Population-Exposure-Outcome (PEO) criteria. Thematic content analysis identified key themes related to financial strain from medical costs, long-term economic adjustments such as asset liquidation and debt accumulation, and psycho-social stressors including isolation and stigma. All data have been carefully de-identified to remove personally identifiable information and protect participant confidentiality. The dataset is shared to enhance research transparency, reproducibility, and further scholarly work on the socio-economic consequences of health emergencies in middle-income settings.