Development and Implementation of a Pediatric Palliative Care Program in a Developing Country
Bibliographic record
Abstract
BACKGROUND: Palliative care is recognized as an important component of care for children with cancer and other life-limiting conditions. In resource limited settings, palliative care is a key component of care for children with cancer and other life-limiting conditions. Globally, 98% of children who need palliative care live in low- or middle-income countries, where there are very few palliative care services available. There is limited evidence describing the practical considerations for the development and implementation of sustainable and cost-effective palliative care services in developing countries. OBJECTIVES: Our aim is to describe the key considerations and initiatives that were successful in planning and implementing a hospital-based pediatric palliative care service specifically designed for a resource-limited setting. SETTING: Bangabandu Sheikh Mujib Medical University (BSMMU) is a tertiary referral hospital in Bangladesh. Local palliative care services are very limited and focused on adult patients. In partnership with World Child Cancer, a project establishing a pediatric palliative care service was developed for children with cancer at BSMMU. RESULTS: We describe four key elements which were crucial for the success of this program: (1) raising awareness and sensitizing hospital administrators and clinical staff about pediatric palliative care; (2) providing education and training on pediatric palliative care for clinical staff; (3) forming a pediatric palliative care team; and (4) collecting data to characterize the need for pediatric palliative care. CONCLUSION: This model of a hospital-based pediatric palliative care service can be replicated in other resource-limited settings and can be expanded to include children with other life-limiting conditions. The development of pilot programs can generate interest among local physicians to become trained in pediatric palliative care and can be used to advocate for the palliative care needs of children.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".