Serious health-related suffering experienced by children with disability and their families living in Bangladesh: A scoping review
Bibliographic record
Abstract
BACKGROUND: In 2020, the International Association for Hospice and Palliative Care redefined palliative care to incorporate the concept of serious health-related suffering. An estimated 21 million children globally live with conditions which would benefit from a palliative approach to relieve suffering. Bangladesh is a lower-middle income country with isolated provision of palliative care. AIM: To synthesise existing evidence describing serious health-related suffering of children with disability and their families living in Bangladesh and the intersection between this suffering, palliative care and rehabilitation. DESIGN: Scoping review methodology. DATA SOURCES: A search strategy related to serious health-related suffering and childhood disability was applied to online databases and grey literature. English language studies (1990-2021) were included. Papers pertaining to serious health-related suffering of typically developing children and those over eighteen years were excluded. Data which addressed the three domains of serious health-related suffering (physical, social and emotional/spiritual) were extracted. Palliative care interventions were assessed with a pre-existing checklist. RESULTS: Forty-six studies were included, representing ten different methodologies. Sample sizes ranged from 11 to 2582 participants, with 87% of studies including children with cerebral palsy. Serious health-related suffering was described in 100% of the studies, only 14 of the studies described specific interventions to mitigate suffering. Convergence between palliative care and rehabilitation approaches was evident. CONCLUSION: Findings document the extensive nature and burden of serious childhood health-related suffering that may be remediated by a palliative approach. They highlight the urgent need to prioritise service development and research in this area.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".