Staging dementia based on caregiver reported patient symptoms: Implications from a latent class analysis


Autoři: Qi Yuan aff001;  Tee Hng Tan aff001;  Peizhi Wang aff001;  Fiona Devi aff001;  Hui Lin Ong aff001;  Edimansyah Abdin aff001;  Magadi Harish aff002;  Richard Goveas aff002;  Li Ling Ng aff003;  Siow Ann Chong aff001;  Mythily Subramaniam aff001
Působiště autorů: Research Division, Institute of Mental Health, Singapore aff001;  Department of Geriatric Psychiatry, Institute of Mental Health, Singapore aff002;  Department of Psychological Medicine, Changi General Hospital, Singapore aff003;  Neuroscience & Mental Health, Lee Kong Chian School of Medicine, Singapore aff004
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
doi: 10.1371/journal.pone.0227857

Souhrn

Background

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.

Klíčová slova:

Activities of daily living – Alzheimer's disease – Cost-effectiveness analysis – Dementia – Educational attainment – Memory – Mental health and psychiatry – Singapore


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2020 Číslo 1