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dc.contributor.authorYuan, Qien_US
dc.contributor.authorTan, Tee Hngen_US
dc.contributor.authorWang, Peizhien_US
dc.contributor.authorDevi, Fionaen_US
dc.contributor.authorOng, Hui Linen_US
dc.contributor.authorAbdin, Edimansyahen_US
dc.contributor.authorHarish, Magadien_US
dc.contributor.authorGoveas, Richarden_US
dc.contributor.authorNg, Li Lingen_US
dc.contributor.authorChong, Siow Annen_US
dc.contributor.authorSubramaniam, Mythilyen_US
dc.identifier.citationYuan, Q., Tan, T. H., Wang, P., Devi, F., Ong, H. L., Abdin, E., . . . Subramaniam, M. (2020). Staging dementia based on caregiver reported patient symptoms : implications from a latent class analysis. PLOS ONE, 15(1), e0227857-. doi:10.1371/journal.pone.0227857en_US
dc.description.abstractBackground: Tailoring interventions to the needs of caregivers is an important feature of successful caregiver support programs. To improve cost-effectiveness, group tailoring based on the stage of dementia could be a good alternative. However, existing staging strategies mostly depend on trained professionals. Objective: This study aims to stage dementia based on caregiver reported symptoms of persons with dementia. Methods: Latent class analysis was used. The classes derived were then mapped with disease duration to define the stages. Logistic regression with receiver operating characteristic curve was used to generate the optimal cut-offs. Results: Latent class analysis suggested a 4-class solution, these four classes were named as early (25.9%), mild (25.2%), moderate (16.7%) and severe stage (32.3%). The stages based on the cut-offs generated achieved an overall accuracy of 90.8% compared to stages derived from latent class analysis. Conclusion: The current study confirmed that caregiver reported patient symptoms could be used to classify persons with dementia into different stages. The new staging strategy is a good complement of existing dementia clinical assessment tools in terms of better supporting informal caregivers.en_US
dc.description.sponsorshipMinistry of Health (MOH)en_US
dc.description.sponsorshipNational Medical Research Council (NMRC)en_US
dc.relation.ispartofPLOS ONEen_US
dc.rights© 2020 Yuan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.titleStaging dementia based on caregiver reported patient symptoms : implications from a latent class analysisen_US
dc.typeJournal Articleen
dc.contributor.schoolLee Kong Chian School of Medicine (LKCMedicine)en_US
dc.description.versionPublished versionen_US
dc.description.acknowledgementThe study is funded by the Singapore Ministry of Health’s National Medical Research Council under the Center Grant Programme (Grant No.: NMRC/CG/004/2013) and the Institute of Mental Health Bridging Fund (CRCref No.: 545-2016). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.en_US
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