Cognitive skills for daily decision making on admission is the most important factor associated with return to home or retirement home in a general-population low intensity rehab programme.

Background As a person ages and accumulates medical morbidities, their ability to participate in traditional high-intensity rehabilitation programmes following an acute medical event may be not be feasible. Low-intensity rehabilitation (LIR) is an emerging approach to restoring function in older per...

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Publicado en:Age & Ageing Vol. 55; no. 7; pp. 1 - 9
Autores principales: Campbell, T Mark, Dunlop, Nicole
Formato: Artículo
Publicado: Oxford University Press / USA Jul2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        10.1093/ageing/afag212
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        atl: Cognitive skills for daily decision making on admission is the most important factor associated with return to home or retirement home in a general-population low intensity rehab programme.
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          Campbell, T Mark
          Dunlop, Nicole
        affil:
          Department of Physical Medicine and Rehabilitation, Elisabeth Bruyere Hospital, 43 Bruyère Street, Ottawa, Ontario K1N 5C8, Canada
          Department of Complex Continuing Care, Bruyère Health, 60 Cambridge Street North, Ottawa, Ontario K1R 7A5, Canada
      su:
        Patients
        Hospital admission & discharge
        Decision making
        Home environment
        Retrospective studies
        Senior housing
        Congregate housing
        Cognition
        Activities of daily living
        Data analysis
        Research funding
        Long-term health care
        Multiple regression analysis
        Questionnaires
        Discharge planning
        Descriptive statistics
        Chi-squared test
        Rehabilitation centers
        Longitudinal method
        Medical records
        Acquisition of data
        Statistics
        Length of stay in hospitals
        Data analysis software
        Barthel Index
        Range of motion of joints
      sug:
        subj:
          Patients
          Hospital admission & discharge
          Decision making
          Home environment
          Retrospective studies
          Senior housing
          Congregate housing
          Cognition
          Activities of daily living
          Community care facilities for the elderly
          Continuing Care Retirement Communities
          Assisted Living Facilities for the Elderly
          Other Individual and Family Services
          Psychiatric and Substance Abuse Hospitals
          Residential Mental Health and Substance Abuse Facilities
          Data analysis
          Research funding
          Long-term health care
          Multiple regression analysis
          Questionnaires
          Discharge planning
          Descriptive statistics
          Chi-squared test
          Rehabilitation centers
          Longitudinal method
          Medical records
          Acquisition of data
          Statistics
          Length of stay in hospitals
          Data analysis software
          Barthel Index
          Range of motion of joints
      keyword:
        activities of daily living
        aged
        bathing
        cognition
        cohort study
        copyrightHolder:British Geriatrics Society
        copyrightYear:2026
        datasets
        decision making
        detoxification therapy
        https://dx.doi.org/10.1093/ageing/afag212
        inLanguage:en
        inpatients
        length of stay
        long-term care
        minimum data set
        mobility
        morbidity
        older people
        predictive factors
        predictor variable
        publisher:Oxford University Press
        rehabilitation
        sameAs:https://pubmed.ncbi.nlm.nih.gov/42497093/
        toileting
        activities of daily living
        aged
        bathing
        cognition
        cohort study
        copyrightHolder:British Geriatrics Society
        copyrightYear:2026
        datasets
        decision making
        detoxification therapy
        https://dx.doi.org/10.1093/ageing/afag212
        inLanguage:en
        inpatients
        length of stay
        long-term care
        minimum data set
        mobility
        morbidity
        older people
        predictive factors
        predictor variable
        publisher:Oxford University Press
        rehabilitation
        sameAs:https://pubmed.ncbi.nlm.nih.gov/42497093/
        toileting
      ab: Background As a person ages and accumulates medical morbidities, their ability to participate in traditional high-intensity rehabilitation programmes following an acute medical event may be not be feasible. Low-intensity rehabilitation (LIR) is an emerging approach to restoring function in older persons; however few predictors for which individuals will benefit from LIR are available. Methods Retrospective cohort study evaluating predictors for discharge from an inpatient LIR programme to home or retirement home (home/RH) and length of stay (LoS) using the Minimum Data Set (MDS) on admission. Results 1662 admissions were included, of which 910 (54.8%) were discharged to home/RH, whilst 752 (45.2%) followed a long-term care (LTC) trajectory. Factors associated with discharge to home/RH included age (β = 0.033, P  < .001), weight (β = −0.013, P  < .001), rehabilitation intensity (β = <0.001, P  < .001), LoS (β = −0.011, P  < .001), cognition (β = 0.546, P  < .001) and activities of daily living (P  < .01). Factors associated with LoS included weight (Spearman coefficient 0.124, P  < .001), rehabilitation intensity (0.895, P  < .001), and ADLs (except bathing and toileting; P  ≤ .001). After correcting for these factors, cognition had the largest adjusted odds ratio for home/RH discharge (1.455, 95% confidence interval 1.209, 1.751), with 68.3% of LIR participants with the highest cognitive score returning to home/RH, versus 12.5% with the lowest. Conclusions Using the commonly available MDS dataset, this study identified cognition as the most important predictive factor for discharge to home/RH. Age, mobility and continence on admission were also predictive. As the population ages and the applicability of LIR increases, these factors may be helpful in determining which individuals benefit most from LIR.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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