Health Services Needs Assessment for Retinoblastoma in Ethiopia
Bibliographic record
Abstract
PURPOSE: The aim of this study was to document the available resources and needs for the detection, diagnosis, and treatment of retinoblastoma (RB) in Ethiopia. METHODS: A health services needs assessment focused on RB care in Ethiopia was conducted. Information was obtained through a web-based survey and field visits. Facilities offering RB service delivery were categorized into three tiers, on the basis of the ability to detect (tier 1) and manage simple (tier 2) or complex (tier 3) patients with RB. Descriptive statistics were performed to quantify human and material resources available at each facility. RESULTS: The web survey received 29 responses from ophthalmologists at 19 health care facilities. Of the 19 units surveyed, seven (36.8%) had an ophthalmologist dedicated to RB treatment, classifying them as either a tier 2 or 3 facility. All tier 3 facilities had an affiliated health facility offering access to off-site pediatric oncology and pathology services. Of the focal therapies offered at tier 3 facilities, none included local chemotherapy or brachytherapy. Enucleation was offered at all tier 2 facilities, but availability of orbital implants and ocular prostheses was variable. None of the health facilities offered genetics services. CONCLUSION: This study demonstrated that the human and material resources needed for RB care in Ethiopia are constrained. Tier 3 RB facilities are rare and concentrated in urban areas, which could make it difficult for many patients to access. With focused capacity-building efforts, it is possible to increase the efficiency of RB therapy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".