69 Exploring learners’ perspectives of a pediatric palliative care tele-mentoring and education program (project ECHO) in a resource-limited setting
Bibliographic record
Abstract
Abstract Introduction/Background More than 98% of children who need palliative care live in low- or middle-income countries where access to palliative care is extremely limited. A lack of palliative care education for health care providers has been identified as a significant barrier to improving access to palliative care. Project ECHO (Extension of Community Healthcare Outcomes) is an online tele-mentoring educational platform developed to improve access to specialist care in these underserved areas. From 2018 to 2019, we piloted a one-year Project ECHO program which provided pediatric palliative care training for healthcare professionals mainly within India and surrounding South Asian countries. Objectives The objective of this study was to explore the learning experiences of participants in a Project ECHO on pediatric palliative care in South Asia and explore considerations to improve ECHO to cater to the unique learning needs and challenges for healthcare professionals in resource-limited settings. Design/Methods We implemented a one-year Project ECHO targeting healthcare providers in South Asia, which consisted of 24 bi-weekly 90-minute sessions. Learners who attended at least 20% (5 sessions) were invited to participate in focus groups. Focus groups were designed to explore participants’ experiences and the perceived strengths and weaknesses of the program. Recordings of the focus group sessions were transcribed, coded and independently verified. The codes were then arranged into overarching themes. Results Seventeen individuals from India and Bangladesh participated in four focus groups at the end of ECHO PPC. Following coding and analysis, two major themes and seven sub-themes were identified. The themes included: (1) Benefits of participation in ECHO PPC (creation of a community of practice; opportunity to exchange cultures, ideas and experiences; supportive role of the facilitator and peers; increased relevant knowledge and skills; and access to additional learning resources) and (2) Barriers to participation (difficulties with time and practice schedule management; and language and sociocultural factors). Conclusion Healthcare professionals in resource-limited settings benefit from project ECHO through the creation of a supportive, online learning community of peers where ideas, experiences and learning resources can be shared. Addressing barriers to participation may enhance the learning experience of project ECHO in the future.
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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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".