PAEDIATRIC PROJECT ECHO: EXPLORING THE EDUCATIONAL NEEDS OF ONTARIO HEALTHCARE PROVIDERS WITH INTEREST IN CARING FOR CHILDREN WITH MEDICAL COMPLEXITY
Bibliographic record
Abstract
Abstract BACKGROUND Project ECHO® is an innovative, interactive model for medical education and healthcare delivery that expands access and capacity to provide evidence-informed care. This model virtually connects specialist interprofessional teams with community healthcare providers (HCPs). It aims to increase knowledge, build capacity, and ultimately, improve patient outcomes by bringing expertise to the community. This project focuses on the first paediatric implementation of Project ECHO for children with medical complexity. This is the first Project ECHO for this population. OBJECTIVES In preparation for this novel program launch in January 2018, a needs assessment was conducted with the objectives of: (1) informing the complex care-specific ECHO curriculum; and (2) assessing community partner preferences for program format and delivery modality. DESIGN/METHODS An online survey (38 items; 15-minutes) was distributed via targeted emails to professional networks, associations, and allied health organizations related to complex care throughout Ontario. The survey assessed interest in specific educational topics as well as program format preferences. An online survey and data management tool (REDCap) was used to build the survey and ensure data quality and security. RESULTS 49 HCPs completed the survey for Paediatric Project ECHO for Children with Medical Complexity. Profession breakdown was: 29% paediatricians, 19% dieticians, 16% nurses, 14% nurse practitioners with the remaining being allied health care professionals, including occupational therapists, social workers and psychologists. Overall, 39% of participants practiced in academic hospitals, 27% in non-academic hospitals, and 35% in other community settings. In terms of program format, 63% preferred weekly 1- or 2-hour educational sessions versus longer sessions. Top medical topics rated by HCPs were: management of nutrition, pain or irritability of unknown origin, and challenging behaviours in children with complex care needs. Other topics of interest included: developmental review, transition to adult care, advanced care planning, funding opportunities, and social supports for the patient as well as caregivers and siblings. CONCLUSION HCPs who expressed interest in Paediatric Project ECHO for Children with Medical Complexity are generally experienced professionals who preferred short educational sessions. The themes that emerged from this needs assessment spanned the biological, psychological and social domains of management of complex care patients. Survey results are being used to inform the development of an evidence-based paediatric complex care curriculum that meets the needs of community HCPs. This project is funded by the MOHLTC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".