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Objective:Studies indicate a limited understanding of dementia and its associated symptoms, causes and consequences among South Asian older adults. As a consequence, fewer people from this ethnic group receive a diagnosis of dementia. The aim of this study was to adapt the previously designed Barts Explanatory Model Inventory Checklist (BEMI-C), a tool designed to elicit perceptions of mental illness from people with different cultural backgrounds, for use with people with dementia in the South Asian population. Method:Both a literature review and 25 qualitative interviews were conducted to find themes and perceptions that are relevant to the South Asian culture in recognising and dealing with symptoms of dementia. The emergent themes and perceptions were then added to the BEMI-C through synthesis of findings. Results:The initial four checklists of symptoms, causes, consequences and treatments from the BEMI-C were retained in the new BEMI-Dementia (BEMI-D) and expanded with six additional themes, including 123 new perceptions relevant to the understanding of dementia. All new themes emerged from the qualitative interviews, some of which were also found in the literature. Conclusion:Given the national priority of improving dementia awareness and timely diagnosis, the BEMI-D can serve as a useful tool, in research and perhaps practice, to assess the barriers to dementia service uptake in this population and their understandings of dementia. Based on the detailed methodological description of the adaptation of the BEMI-C, this paper further suggests how this tool can be adapted to suit other ethnic minority groups. [ABSTRACT FROM AUTHOR]

Currently no standardized tools are available in the Indian languages to assess changes in cognition. Our objectives are to culturally adapt the Alzheimer's disease Assessment Scale–Cognitive Subscale (ADAS-Cog) for use in India and to validate the Tamil version in an urban Tamil-speaking older adult population. Two panels of key stakeholders and a series of qualitative interviews informed the cultural and linguistic adaptation of the ADAS-Cog-Tamil. Issues related to levels of literacy were considered during the adaptation. Validation of the ADAS-Cog-Tamil was completed with 107 participants − 54 cases with a confirmed diagnosis of mild-moderate dementia, and 53 age, gender and education matched controls. Concurrent validity was examined with the Vellore Screening Instrument for Dementia (VSID) in Tamil. Internal consistency using Cronbach's alpha, sensitivity and specificity data using the Area under the Receiver Operating Characteristics (AUROC) curve values were computed. Inter-rater reliability was established in a subsample. The ADAS-Cog-Tamil shows good internal consistency (α = 0.91), inter-rater reliability and concurrent validity (with VSID-Patient version: r = –0.84 and with VSID-Caregiver version: r = –0.79). A cut-off score of 13, has a specificity of 89% and sensitivity of 90% for the diagnosis of dementia. ADAS-Cog-Tamil, derived from a rigorous, replicable linguistic and cultural adaptation process involving service users and experts, shows good psychometric properties despite the limitations of the study. It shows potential for use in clinical settings with urban Tamil speaking populations. The English version of the tool derived from the cultural adaptation process could be used for further linguistic adaptation across South Asia. [ABSTRACT FROM AUTHOR]