A Theory-Driven Approach to Evaluating a Communication Intervention
Bibliographic record
Abstract
Abstract: Evaluating interventions in the practice setting calls for an alternative approach to the traditional randomized controlled trial (RCT), as its feasibility and generalizability, and clinical utility of its results are being questioned. The theory-driven approach (TDA) to evaluation, as an alternative to the RCT, attempts to account for the realities of practice. The TDA specifies the causal processes underlying the intervention effects, and identifies its expected outcomes as well as factors that affect treatment processes, such as patient, intervener, and setting characteristics. In this article, the TDA to intervention evaluation is presented as a means of designing and conducting evaluation. The TDA is discussed at the conceptual level and illustrated with examples from a pilot study that examined the effectiveness of a communication enhancement intervention designed to improve the communication skills of nursing staff in a complex continuing care (CCC) facility.
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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 | 0.233 | 0.250 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".