Online palliative care education and mentorship in Nepal: Project ECHO – a novel approach to improving knowledge and self-efficacy among interprofessional health-care providers
Bibliographic record
Abstract
BACKGROUND: Palliative care access in Nepal is severely limited, with few health-care providers having training and skills to pain management and other key aspects of palliative care. Online education suggests an innovation to increase access to training and mentoring, which addresses common learning barriers in low- and middle-income countries. Project ECHO (Extensions for Community Health Care Outcomes) is a model of online education which supports communities of practices (COPs) and mentoring through online teaching and case discussions. The use of online education and Project ECHO in Nepal has not been described or evaluated. SETTING: An online course, consisting of 14 synchronous weekly palliative care training sessions was designed and delivered, using the Project ECHO format. Course participants included health-care professionals from a variety of disciplines and practice settings in Nepal. OBJECTIVES: The goal of this study was to evaluate the impact of a virtual palliative care training program in Nepal on knowledge and attitudes of participants. METHODS: Pre- and post-course surveys assessed participants' knowledge, comfort, and attitudes toward palliative care and evaluated program acceptability and barriers to learning. RESULTS: Forty-two clinicians, including nurses (52%) and physicians (48%), participated in program surveys. Participants reported significant improvements in their knowledge and attitudes toward core palliative care domains. Most participants identified the program as a supportive COP, where they were able to share and learn from faculty and other participants. CONCLUSION: Project ECHO is a model of online education which can successfully be implemented in Nepal, enhancing local palliative care capacity. Bringing together palliative care local and international clinical experts and teachers supports learning for participants through COP. Encouraging active participation from participants and ensuring that teaching addresses availability and practicality of treatments in the local health-care context addresses key barriers of online education. SIGNIFICANCE OF RESULTS: This study describes a model of structured virtual learning program, which can be implemented in settings with limited access to palliative care to increase knowledge and attitudes toward palliative care. The program equips health-care providers to better address serious health-related suffering, improving the quality of life for patients and their caregivers. The program demonstrates a model of training which can be replicated to support health-care providers in rural and remote settings.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".