{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Niyomsri S"],"funding":["Research England","Wellcome Trust"],"pagination":["e70139"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12949456"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["33(4)"],"pubmed_abstract":["Approximately 8.8 million people are living with chronic hepatitis C virus (HCV) in Pakistan. We assessed factors related to health-related quality of life (HRQoL) among the general population screened for HCV and calculated the national burden in quality-adjusted life years (QALYs). A cross-sectional study was conducted in community and clinic-based settings in Karachi and Gujranwala. HRQoL was assessed before diagnosis using EQ-5D-3L (Pakistan value set). Propensity score matching (PSM) was used to address socio-economic differences between HCV RNA-positive (viraemic) and HCV-antibody-negative participants. We assessed socio-demographic and HCV-related predictors of HRQoL (Tobit regression) and problems by EQ-5D domain (logistic regression). The HCV transmission model was used to estimat"],"journal":["Journal of viral hepatitis"],"pubmed_title":["The Impact of Hepatitis C and Socio-Demographic Variables on Health-Related Quality of Life in Pakistan: Cross-Sectional Study."],"pmcid":["PMC12949456"],"funding_grant_id":["220866/Z/20/Z","RE-CL-2023-09"],"pubmed_authors":["Chaudhry A","Kemos P","Hasnain A","Niaz S","Walker JG","Ramzan A","Foster GR","Choudhry N","Asim M","HepFreePak team","Alam E","Hamid SS","Saadullah M","Choudhry A","Arif A","Qureshi H","Vickerman P","Tahir MS","Hai G","Saghir A","Metcalfe C","Khan T","Shafqat MN","Niyomsri S","Lim AG"],"additional_accession":[]},"is_claimable":false,"name":"The Impact of Hepatitis C and Socio-Demographic Variables on Health-Related Quality of Life in Pakistan: Cross-Sectional Study.","description":"Approximately 8.8 million people are living with chronic hepatitis C virus (HCV) in Pakistan. We assessed factors related to health-related quality of life (HRQoL) among the general population screened for HCV and calculated the national burden in quality-adjusted life years (QALYs). A cross-sectional study was conducted in community and clinic-based settings in Karachi and Gujranwala. HRQoL was assessed before diagnosis using EQ-5D-3L (Pakistan value set). Propensity score matching (PSM) was used to address socio-economic differences between HCV RNA-positive (viraemic) and HCV-antibody-negative participants. We assessed socio-demographic and HCV-related predictors of HRQoL (Tobit regression) and problems by EQ-5D domain (logistic regression). The HCV transmission model was used to estimat","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Apr","modification":"2026-07-16T23:34:02.371Z","creation":"2026-07-12T03:11:31.636Z"},"accession":"S-EPMC12949456","cross_references":{"pubmed":["41761835"],"doi":["10.1111/jvh.70139"]}}