Evaluation of the living with hope program for rural women caregivers of persons with advanced cancer
Bibliographic record
Abstract
BACKGROUND: Hope has been identified as a key psychosocial resource among family caregivers to manage and deal with the caregiver experience. The Living with Hope Program is a self-administered intervention that consists of watching an international award winning Living with Hope film and participating in a two week hope activity ("Stories of the Present"). The purpose of this study was to examine the effects of the Living with Hope Program on self-efficacy [General Self-Efficacy Scale], loss and grief [Non-Death Revised Grief Experience Inventory], hope [Herth Hope Index] and quality of life [Short-Form 12 version 2 (SF-12v2)] in rural women caring for persons with advanced cancer and to model potential mechanisms through which changes occurred. METHODS: A time-series embedded mixed method design was used, with quantitative baseline outcome measures repeated at day 7, day 14, and 3, 6 and 12 months. Qualitative data from the hope activity informed the quantitative data. Thirty-six participants agreed to participate with 22 completing all data collection. General estimating equations were used to analyze the data. RESULTS: Herth Hope Index scores (p=0.05) had increased significantly from baseline at day 7. General Self Efficacy Scale scores were significantly higher than baseline at all data time points. To determine the mechanisms of the Living with Hope Program through which changes occurred, results of the data analysis suggested that as General Self Efficacy Scale scores increased (p<0.001) and Non-death Revised Grief Experience Inventory scores decreased (p=0.01) Herth Hope Index scores increased. In addition as Herth Hope Index scores increased (p<0.001) and Non-death Revised Grief Experience Inventory scores decreased (p=0.01), SF-12v2 mental health summary scores increased. Qualitative data suggested that through the hope activity (Stories of the Present) the participants were able to find positives and hope in their experience. CONCLUSIONS: The Living with Hope Program has potential to increase hope and improve quality of life for rural women caregivers of persons with advanced cancer. The possible mechanisms by which changes in hope and quality of life occur are by decreasing loss and grief and increasing self-efficacy. TRIAL REGISTRATIONS: Registration ClinicalTrials.gov, NCT01081301.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".