Health-related quality of life among thalassemia patients in Bangladesh using the SF‑36 questionnaire
Description
This dataset presents comprehensive health-related quality of life (HRQoL) metrics collected from thalassemia patients in Bangladesh using the validated SF-36 (Short Form Health Survey) questionnaire. The study, published in Scientific Reports (DOI: 10.1038/s41598-023-34205-9), investigates the physical and mental health domains of affected individuals, offering valuable insights into their well-being. The dataset includes demographic, clinical, and SF-36-derived health domain scores, encompassing variables such as age, gender, marital status, educational level, comorbidities, and blood transfusion status, alongside detailed domain scores for general health, physical functioning, mental health, and social functioning. The data also features aggregated physical and mental health summary scores and the total SF-36 score. This dataset is particularly useful for researchers, clinicians, and public health professionals interested in assessing the quality of life in thalassemia patients, identifying at-risk groups, and evaluating the impact of medical interventions. It supports secondary analyses, cross-cultural comparisons, and methodological studies in HRQoL research.
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Steps to reproduce
This dataset captures health-related quality of life (HRQoL) metrics from thalassemia patients in Bangladesh, assessed using the SF-36 questionnaire. The study evaluates eight key domains of HRQoL, including General Health, Physical Functioning, Role Physical, Bodily Pain, Vitality, Mental Health, Role Emotional, and Social Functioning. Additionally, the dataset includes demographic details (e.g., age, gender, marital status, education level, economic class) and clinical factors (e.g., transfusion frequency, disease severity, comorbidities, and therapy status). The data offers valuable insights into the physical and mental well-being of thalassemia patients, highlighting how demographic and clinical variables influence their quality of life. With comprehensive coverage of SF-36 domain scores, this dataset provides a robust foundation for HRQoL research, supporting secondary analyses, predictive modeling, and cross-population comparisons. Researchers and healthcare professionals can use this dataset to identify at-risk groups, evaluate intervention impacts, and guide policy decisions aimed at improving the lives of patients with chronic conditions like thalassemia.