“IT’S NOT A JOB YOU APPLY FOR”: A MIXED-METHOD EVALUATION OF THE ‘HEALTH LINKS’ CAREGIVER EXPERIENCE
Bibliographic record
Abstract
In 2012, the Ontario Ministry of Health and Long-Term Care launched Health Links (HL), a system-wide transformation to improve care coordination for the top 5% of health care users who account for 65% of health system costs. Informal caregivers (family/friends) are integral to supporting patients with multiple chronic conditions to remain at home. This study evaluated experiences of these caregivers of HL patients using mixed methods. Telephone interviews (n=16) and structured surveys (n=27) were conducted. Derived from the principles of the HL program, four sensitizing concepts guided the evaluation (i.e., patient and family-centred care; accessibility; continuity of care and care provider; and coordination of services). HL patients ranged in age from 50 to 96 years and their top health issues were: cognitive impairment (37.0%); a cardiovascular condition (37.0%); and/or a lung condition (29.6%). Caregivers were aged between 51 and 85 years, tended to be female (55.6%), married (70.4%), and provided ‘live in care’ (77.8%). Results showed that caregivers placed great value on providing care for their loved ones and were generally satisfied with HL. However, care planning rarely included informal caregivers; care coordination experiences were coordinator dependent; and access to caregiver respite was challenging (eligibility, costs, availability, patient disinterest). Half of the participants experienced consistency in care providers which provided relief. Despite supports offered to patients, caregivers experienced significant strain (Modified Caregiver Strain Index: mean=15.5[SD 7.03]), anxiety (Generalized Anxiety Disorder: mean=9.6 [SD 6.64]), and depression (CES-D 10: mean=11.8 [SD 8.72]) indicating that more attention should be paid to their needs.
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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 | 0.040 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".