Dementia and Its Profound Impact on Family Members and Partners
Bibliographic record
Abstract
INTRODUCTION: Dementia can adversely affect the quality of life (QoL) of family members/partners of those affected. Measuring this often-neglected burden is critical to planning and providing appropriate support services. This study measures this impact using the Family-Reported Outcome Measure (FROM-16). METHODS: A large UK cross-sectional online study through patient research platforms, recruited family members/partners of people with dementia, to complete the FROM-16. RESULTS: Totally, 711 family members/partners (mean age=58.7 y, SD=12.5; females=81.3%) of patients (mean age=81.6, SD=9.6; females=66.9) with dementia completed the FROM-16. The FROM-16 mean total score was 17.5 (SD=6.8), meaning "a very large effect" on QoL of family members, with females being more adversely impacted. CONCLUSIONS: Dementia profoundly impacts the QoL of family members/partners of patients. Routine use of FROM-16 could signpost provision of care support, reducing family members' burnout. Such routine data could be used in economic analysis of the burden of dementia as well as in predicting institutionalization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".