The relationship between frailty, functional dependence, and healthcare needs among community‐dwelling people with moderate to severe dementia
Bibliographic record
Abstract
This paper examines the healthcare needs of community-dwelling older people living in Porto, Portugal, diagnosed with moderate or severe dementia, linked to functional dependency, cognitive decline, limitations in the activities of daily life, and frailty levels. A sample of 83 participants was recruited. Data were collected between 2013 and 2017. A sociodemographic questionnaire, the Clinical Dementia Rating (CDR), the Barthel Index (BI), the Lawton and Brody Instrumental Activities of Daily Living (IADL) Scale, and the Edmonton Frail Scale (EFS) were used. A set of 26 healthcare needs was defined to support the assessment. The Pearson chi-square or Fisher's exact test (as appropriate) was used to examine the association of the needs (unmet and met) with the levels of dementia and frailty. Participants were diagnosed previously with moderate or severe dementia and benefited from a structured home-care program. There was a high number rated as "severe dementia," "fully dependent," "severely or fully dependent in the activities of daily living (ADL)," and "severe frailty." There were statistically significant differences among needs identified in people with moderate or severe dementia and moderate or severe frailty. The most prevalent healthcare needs in the sample were food preparation, medication/taking pills, looking after their home, toilet use, sensory problems, communication/interaction, bladder, bowels, eating and drinking, memory, sleeping, and falls prevention. In particular, the study identifies a set of needs that are present simultaneously in both frailty and dementia stages. This study underlines that despite well-structured home-care programs for people with dementia, unmet health needs remain. Timely healthcare needs assessment may help professionals to avoid fragmented care and to tailor quality-integrated interventions, including the emotional and psychological balance of the caregiver.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".