Pediatric Project ECHO® for Pain: implementation and mixed methods evaluation of a virtual medical education program to support interprofessional pain management in children and youth
Bibliographic record
Abstract
BACKGROUND: Pediatric pain is a complex health challenge requiring a multi-modal management approach. It is critical that healthcare providers (HCPs) have access to ongoing, flexible education and mentorship specific to pediatric pain. However, there are significant gaps in available pain education and a need for more opportunities to support interprofessional training. Project Extension for Community Healthcare Outcomes (Project ECHO®) is a model for delivering online HCP education and cultivating a virtual community of practice. Within the pediatric pain setting, ECHO® has potential to improve local access to specialized pain knowledge, particularly among the physicians, nurses, and allied health providers who primarily manage these cases in community and hospital settings across rural and urban environments. The purpose of this study was three-fold. First, to evaluate the feasibility (participation levels, acceptability) of implementing Project ECHO® in the context of pediatric pain. Second, to measure preliminary program impacts on HCP knowledge, self-efficacy, and clinical practice. Third, to characterize HCP program engagement levels before and after onset of the COVID-19 pandemic. METHODS: A needs assessment was conducted to identify interprofessional education gaps and inform the program curriculum. The no-cost Pediatric ECHO® for Pain program offered TeleECHO sessions (didactic and case-based learning) as well as foundational education. Surveys were distributed at baseline and 6 months to assess outcomes using 7-point Likert scales. Participant engagement was assessed for periods prior to and during the COVID-19 pandemic. Descriptive and inferential statistical analyses were conducted. RESULTS: Eighty-five TeleECHO sessions were hosted, with a mean attendance of 34.1 ± 23.4 HCPs. Acceptability scores at 6 months (n = 33) ranged from 5.0 ± 1.4 to 6.5 ± 0.5. Participants reported statistically significant (p < 0.05) improvements in knowledge (7 out of 7 topics) and self-efficacy (8 out of 9 skills). Most participants reported positive practice impacts, including improved satisfaction with managing children with pain. Exploratory analyses showed a trend of greater engagement from ECHO® learners after onset of the COVID-19 pandemic. CONCLUSIONS: Project ECHO® is a feasible and impactful model for virtual education of interprofessional HCPs in managing pediatric pain.
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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 | 0.028 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".