The effects of a mobile application-based dementia care intelligent recommender system on caregivers of people with dementia: a randomized controlled trial.

Background Health recommender systems offer new opportunities to meet the personalized needs of people with dementia and their caregivers, but evidence on their effectiveness remains limited. Objective This study aimed to evaluate the effectiveness of a mobile application–based dementia care intelli...

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Publicado en:Age & Ageing Vol. 55; no. 2; pp. 1 - 13
Autores principales: Sun, Yue, Ji, Mengmeng, Leng, Minmin, Chen, Baoyu, Liu, Shuai, Wang, Zhiwen
Formato: Artículo
Publicado: Oxford University Press / USA Feb2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2026
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      pub: Oxford University Press / USA
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        10.1093/ageing/afag021
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        atl: The effects of a mobile application-based dementia care intelligent recommender system on caregivers of people with dementia: a randomized controlled trial.
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        au:
          Sun, Yue
          Ji, Mengmeng
          Leng, Minmin
          Chen, Baoyu
          Liu, Shuai
          Wang, Zhiwen
        affil:
          School of Nursing, Peking University, Beijing, China
          Peking University - First Hospital, Department of Endocrinology, Beijing, China
          Shandong Provincial Hospital Affiliated to Shandong First Medical University, Department of Nursing, Jinan, Shandong, China
          Peking University Sixth Hospital, Department of Neurology, Beijing, China
          Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
      su:
        China
        Prevention of mental depression
        Health literacy
        Psychological distress
        Patient safety
        Evaluation of medical care
        Randomized controlled trials
        Communication
        Psychology of caregivers
        Mental depression
        Old age
        Treatment of dementia
        Mobile apps
        Statistical sampling
        Descriptive statistics
        Chi-squared test
        Burden of care
        Self-report inventories
        Comparative studies
        Data analysis software
        Confidence intervals
        Evaluation
      sug:
        subj:
          Prevention of mental depression
          Health literacy
          Psychological distress
          Patient safety
          Evaluation of medical care
          Randomized controlled trials
          Communication
          Psychology of caregivers
          Mental depression
          Old age
          China
          Marketing Research and Public Opinion Polling
          Treatment of dementia
          Mobile apps
          Statistical sampling
          Descriptive statistics
          Chi-squared test
          Burden of care
          Self-report inventories
          Comparative studies
          Data analysis software
          Confidence intervals
          Evaluation
      keyword:
        caregiver burden
        caregivers
        copyrightHolder:British Geriatrics Society
        copyrightYear:2026
        dementia
        dementia care intelligent recommender system
        depressive disorders
        https://dx.doi.org/10.1093/ageing/afag021
        inLanguage:en
        knowledge graph
        older people
        publisher:Oxford University Press
        recommender system
        safety
        sameAs:https://pubmed.ncbi.nlm.nih.gov/41642176/
        caregiver burden
        caregivers
        copyrightHolder:British Geriatrics Society
        copyrightYear:2026
        dementia
        dementia care intelligent recommender system
        depressive disorders
        https://dx.doi.org/10.1093/ageing/afag021
        inLanguage:en
        knowledge graph
        older people
        publisher:Oxford University Press
        recommender system
        safety
        sameAs:https://pubmed.ncbi.nlm.nih.gov/41642176/
      ab: Background Health recommender systems offer new opportunities to meet the personalized needs of people with dementia and their caregivers, but evidence on their effectiveness remains limited. Objective This study aimed to evaluate the effectiveness of a mobile application–based dementia care intelligent recommender system (DCIRS) among caregivers of people with dementia. Methods We conducted a RCT among family caregivers of people with dementia in China. Participants were randomly assigned to either the intervention group or a waitlist control group (n = 125 per group). Caregivers in the control group received no intervention during the study period, whereas those in the intervention group received access to a remote, mobile application–based DCIRS. Outcomes were assessed at baseline (T0), week 6 (T1), and week 12 (T2). The outcomes included distress related to care problems, caregiver burden, depressive symptoms, and the occurrence of safety-related events. Generalized estimating equations were used for analysis. Results The caregivers in intervention group showed significant reductions in distress scores for dressing, personal hygiene, communication, and behavioural and psychological care problems at both the 6th and 12th week assessments. Caregiver burden scores in the intervention group showed a continuous decline from baseline to week 6 (MD = −1.61) and further to week 12 (MD = −3.43) (P <.05). Within-group analyses showed that depressive symptom scores remained largely stable from baseline to week 6 and week 12 in both the intervention and control groups, with no significant pre–post changes detected. A significant between-group difference was found in the total number of safety-related events (P = .037). Conclusion In summary, this RCT showed that the DCIRS may reduce caregivers' distress related to care problems and lessen caregiver burden. Although depressive symptoms did not improve significantly, further research is needed to assess long-term effects and clarify the mechanisms underlying remote, personalized interventions such as the DCIRS. Registration The trial was registered at the Chinese Clinical Trials Registry (ChiCTR2200066087).
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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