影响印度造血细胞移植幸存者重返工作/学校的因素

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Of these, 34 (27%) did not RTW, 47 (37%) returned to part-time work, and 45 (36%) returned to full-time work at a median of more than three years post-HCT. The three groups did not significantly differ in age, sex, or marital status. The univariate analysis revealed that education, pre-HCT job status, income, and conditioning intensity were significantly associated with RTW. Logistic regression analysis revealed that survivors with a higher (taxable) income were more likely to RTW than those with a lower (non-taxable) income (OR 3.5; CI 1.2-10.2, p =0.01). Survivors with a desk job were more likely to RTW than those who were unemployed/retired or students (OR 4.5; CI 1.1-18.0, p =0.03). Conclusion : Socioeconomic factors, like pre-HCT job status and income, were significantly associated with post-HCT RTW. 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Logistic regression analysis revealed that survivors with a higher (taxable) income were more likely to RTW than those with a lower (non-taxable) income (OR 3.5; CI 1.2-10.2, p =0.01). Survivors with a desk job were more likely to RTW than those who were unemployed/retired or students (OR 4.5; CI 1.1-18.0, p =0.03). Conclusion : Socioeconomic factors, like pre-HCT job status and income, were significantly associated with post-HCT RTW. 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Factors Impacting Return to Work/School among Hematopoietic Cell Transplantation Survivors in India
Introduction : While there are data about return to work after hematopoietic cell transplantation (HCT) in survivors from resource-rich regions, similar data from resource-challenged settings are scarce. This study assessed the incidence of and factors affecting return to work/school (RTW) among HCT survivors in India. Methods : This single-center cross-sectional study was conducted at the long-term follow-up (LTFU) clinic of a large-volume HCT center during 2022-2023. HCT survivors surviving beyond four months were included after obtaining informed consent. Patients’ sociodemographic, disease, HCT, and work details were recorded. The factors affecting RTW were evaluated using univariate (ANOVA) and logistic regression analyses. Results : A total of 126 HCT survivors participated in the study. Of these, 34 (27%) did not RTW, 47 (37%) returned to part-time work, and 45 (36%) returned to full-time work at a median of more than three years post-HCT. The three groups did not significantly differ in age, sex, or marital status. The univariate analysis revealed that education, pre-HCT job status, income, and conditioning intensity were significantly associated with RTW. Logistic regression analysis revealed that survivors with a higher (taxable) income were more likely to RTW than those with a lower (non-taxable) income (OR 3.5; CI 1.2-10.2, p =0.01). Survivors with a desk job were more likely to RTW than those who were unemployed/retired or students (OR 4.5; CI 1.1-18.0, p =0.03). Conclusion : Socioeconomic factors, like pre-HCT job status and income, were significantly associated with post-HCT RTW. Therefore, there is a need to integrate multidisciplinary RTW programs for HCT survivors in India.
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