Researching the Impact of Service provider Education (RISE) Project — a multiphase mixed methods protocol to evaluate implementation acceptability and feasibility
Bibliographic record
Abstract
BACKGROUND: Health and social service providers receive limited education on recognizing and responding to family violence. With adequate education, providers could be prepared to identify individuals subjected to family violence and help reduce the risk of associated impairment. Informed by the Active Implementation Frameworks, our research will determine the scope of strategies needed for the uptake and sustainability of educational interventions focused on family violence for providers. It will also determine the acceptability, feasibility, and proof-of-concept for a new educational intervention, called VEGA (Violence, Evidence, Guidance, Action), for developing and improving primary care provider knowledge and skills in family violence. METHODS: This paper details the protocol for the Researching the Impact of Service provider Education (RISE) Project. The RISE Project follows a sequential multiphase mixed method research design; qualitative and quantitative data are being collected and integrated over three conceptually and methodologically linked research phases. Activities primarily occur in Ontario, Alberta, and Quebec. Phase 1 uses a sequential exploratory mixed method research design to characterize the scope and salience of learning and implementation needs and preferences for family violence education. Phase 2 will use an embedded mixed method research design to determine whether VEGA technology supports providers to achieve their family violence learning goals with effectiveness, efficiency, and satisfaction. Phase 3 will use a concurrent mixed method research design to determine acceptability, feasibility, and proof-of-concept for evaluating whether VEGA improves primary care providers' knowledge and skills in family violence. This final phase will provide information on implementation strategies for family violence education in the "real world." It will also generate data on provider recruitment, retention, and data completeness, as well as exploratory estimates of the effect for provider outcome measures proposed for a randomized controlled trial. DISCUSSION: The RISE Project comprehensively integrates an implementation approach to improve family violence education for the health and social service professions. It will provide important information about factors that could influence the uptake and effectiveness of a health profession's educational intervention into the real world, as well as provide foundational evidence concerning the tenability of using a randomized controlled trial to evaluate the impact of VEGA in primary care settings.
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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 | 0.230 | 0.145 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.030 | 0.005 |
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".