Impacts of ESOGER home-based care and health services on spousal caregivers' anxiety, quality of life and burden: Findings from a pilot randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Spousal caregivers of ill older adults face increasing risks of deteriorating mental health and burden. "Socio-Geriatric Evaluation" (ESOGER) is home-based care and health services for ill older adults. This study aimed to examine changes in anxiety, quality of life and burden over a 3-month period in spousal caregivers of ill older adults who benefits from ESOGER home health care and support services. METHODS/DESIGN: A randomized controlled trial (RCT) with two parallel arms enrolled 42 spousal caregivers distributed equally between the intervention group and the control group. The intervention consisted of ESOGER, a telehealth-based home care program that evaluates older adults' health and social needs and provides personalized recommendations and referrals to health and community services to ill spouses, implemented through the Canadian Red Cross. Spousal caregivers were assessed at baseline (M0) and at three months (M3). Anxiety was evaluated using a visual analogue scale (VAS) ranging from 0 (no anxiety) to 10 (severe anxiety) and the EuroQol-5D assessed quality of life using. Burden was measured using the 4-item Zarit scale. RESULTS: Anxiety (P < 0.001) and burden (P = 0.003) increased significantly, and the quality of life decreased (P = 0.018) in the control group at M3 compared to M0. In the intervention group anxiety decreased significantly (P < 0.001) over the 3-months follow-up. Only burden was significantly lower in the intervention group compared to the control group (P = 0.022) at M3. The changes in scores of the 4-item Zarit scale between M0 and M3 (P = 0.011) and of the EQ-5D visual analogue scale (P = 0.024) were significantly different between groups, showing an improvement in the intervention group. CONCLUSION: This study highlights the positive impact of ESOGER home-based care on spousal caregivers, showing reduced anxiety and burden while improving quality of life. These findings underscore the importance of structured home care services in supporting caregivers' well-being and sustaining home-based care for older adults.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Randomized trial | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Randomized trial | high |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".