Translating and validating the Health Literacy Questionnaire into Urdu: a robust nine-dimension confirmatory factor model

Pakistani migrants are one of the fastest-growing communities in Australia, and the majority speak Urdu at home. There is a lack of information regarding the health literacy of this population. This study aimed to translate the Health Literacy Questionnaire (HLQ) into Urdu and to explore its psychometric properties. A structured standardized procedure was followed to translate and validate HLQ into Urdu. Data were collected from 202 Pakistani migrants residing in Australia. The HLQ-Urdu was well understood by the respondents. The structural properties of HLQ-Urdu were close to the original HLQ. Data for all HLQ scales met pre-specified criteria for fit in the one-factor CFA model. The composite reliability was high, ranging from 0.84 to 0.91. A strict nine-factor CFA model was also fitted to the data with no cross-loadings or correlated residuals allowed, which showed excellent model fit statistics [chi(2)(WLSMV) = 1266.022 (df =866, p= 0.000), comparative fit index =0.995, Tucker-Lewis index= 0.994, root mean square error of approximation =0.050 and standardized root mean square residual =0.069]. The Urdu version of HLQ showed robust psychometric properties. This HLQ-Urdu tool is now ready to be used to assess health literacy in Pakistani migrants in Australia. Availability of health literacy tools in migrant languages may help healthcare providers better understand the health literacy needs of migrant communities.