International Continuing Education for Rehabilitation Workers in Honduras: a Pre-test Post-test Evaluation
Bibliographic record
Abstract
Background: The knowledge of Honduran healthcare workers who deliver rehabilitation services can be enhanced by support from community-engaged academic collaborations outside the country. Objective: This study aimed to evaluate reactions and learning linked to two continuing education workshops for rehabilitation workers in northern Honduras. Method: A pre-test post-test study design was used. In September 2017, faculty from Canada and Colombia, together with health professionals from Honduras, facilitated two neurorehabilitation workshops - one in a rehabilitation centre and the other in a family support organisation located in northern Honduras. The participants were physiotherapists, physicians, nurses and educational professionals, as well as a psychologist, kinesiologist, and non-professionals trained onsite. Seventeen participants attended the ‘Acquired brain injury/spinal cord injury workshop’ (adult workshop), and 15 attended the ‘Rehabilitation for children with impaired neuromotor development workshop’ (paediatric workshop). They completed three questionnaires before the workshops: one on sociodemographic information; one related to knowledge; and, the Modified Stages of Learning Questionnaires (MSLQs). Three questionnaires were completed after the workshops: the Modified Kirkpatrick; a knowledge questionnaire; and, the MSLQ. Results: Most of the participants agreed that the workshops had positive effects in two of the four Kirkpatrick levels that were evaluated: reaction and learning. In the MSLQs of the paediatric workshop, there was a statistically significant change in the percentage of participants who moved from scanning/evaluation stages in the pre-test to learning/gaining experience in the post-test, in three of the six topics. Three of the knowledge questions showed important learning effects. Conclusion and Implications: Workshops offered through an international collaboration resulted in enhancing learning and knowledge of neurological rehabilitation workers in Honduras. This initiative has the potential to improve the quality of care for people with neurological conditions in the region. Participants evaluated the workshops as relevant and held very positive attitudes about the perceived outcomes. The inclusion of local practitioners in planning the workshops and selecting the topics appeared to have aided their relevance. It is recommended that workshop planners take adequate time to ensure relevancy.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".