Equipping Change Agents: Applying Mixed Methods to Learn About the Outcomes of the Co-Designed Caregiver-Centered Care Champions Education Program
Why this work is in the frame
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Bibliographic record
Abstract
Family caregivers provide most daily care for people living with chronic illness or frailty, yet they remain under-recognized in health and social care systems. To address this gap, we co-designed the Caregiver-Centered Care Champions Education Program, which equips frontline providers with the competencies needed to lead caregiver-inclusive change. Guided by the Kirkpatrick-Barr Health Workforce Education Framework, we conducted a mixed methods interpretive description evaluation of learner satisfaction, knowledge and confidence gains, and self-reported behaviour change. Sixty-seven interdisciplinary participants completed three online modules. Quantitative results from pre/post surveys (Wilcoxon signed rank tests) showed significant improvements across all competencies (p < 0.001; large effect sizes) alongside high satisfaction (means 6.56–6.96/7). Qualitative findings revealed that 94% of participants applied program content within three months, and 61% implemented five or more distinct behaviour changes (e.g., collaborative care planning, system navigation support). The analysis illuminated how learners integrated caregiver-centred principles with change leadership strategies. Time constraints and staffing shortages emerged as key barriers. Our co-designed, theory-informed approach effectively bridged individual learning and system change, demonstrating the potential to transform caregiver inclusion practices when supported by organizational policies.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it