Measuring sustainability of a grassroots program in a large integrated health care delivery system: the Warrior to Soul Mate Program
Bibliographic record
Abstract
Introduction: Veterans experience many physical and psychosocial adjustment problems that challenge personal relationships, social functioning, and successful social reintegration. The Warrior to Soul Mate (W2SM) program uses a structured curriculum (i.e., the Practical Application of Intimate Relationships Skills) to address Veterans’ interpersonal needs by teaching participants effective interpersonal skills. Veterans who attended the W2SM program reported lower anxiety levels; improvements in marital relationships and satisfaction; and increased intimacy, cohesion, and affection. Therefore, sustaining the W2SM program can have long-term positive effects for Veterans, families, and the greater society. The purpose of this article is to describe the sustainability of the W2SM program. Methods : The Model of Community-Based Program Sustainability conceptually guided the evaluation. Participants from 23 Veterans Health Administration hospitals in the United States that offer W2SM programs completed a self-report survey to measure sustainability. Results: The highest scoring sustainability elements were “demonstrating program results” (Mean = 5.82, SD = 1.23), “staff involvement and integration” (Mean = 5.79, SD = 1.34), and “program responsivity” (Mean = 4.39, SD = 1.16); the lowest scoring element was “strategic funding” (Mean = 2.78, SD = 1.75). Statistically significant associations were found between the global middle-range program results and three sustainability elements: leadership competence ( r = 0.472; p = 0.023), effective collaboration ( r = 0.470; p = 0.024), and strategic funding ( r = 0.507; p = 0.014). Discussion: Efforts to sustain programs should focus on leaders planning for sustainability at the onset of program implementation. Collaborators must be involved in program design, implementation, and evaluation, and long-term funding sources must be secured to support program operations and continuation.
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How this classification was reachedexpand
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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".