Impact of systematic capacity building on cataract surgical service development in 25 hospitals
Bibliographic record
Abstract
BACKGROUND: This study measured the effectiveness and cost of a capacity building intervention in 25 eye hospitals in South Asia, East Africa and Latin America over 4 years. The intervention involved eye care non-governmental organizations or high-performing eye hospitals acting as "mentors" to underperforming eye hospitals- "mentees" in 10 countries. Intervention activities included systematic planning and support for training and key equipment purchases as well as hospital-specific mentoring which focused on strengthening leadership, increasing the volume and equity of community outreach, improving surgical quality and volume, strengthening organizational and financial management and streamlining operational processes. METHODS: This is a before and after observational study of the impact of this multi-dimensional process on hospital and individual productivity and financial sustainability after 4 years. Mentee hospitals reported data monthly using a standardized template. Key indicators included cataract surgery volume, cataract operations per surgeon, the proportion of direct paying cataract surgical patients, intervention program costs per additional surgery and cost per mentor. RESULTS: By the end of the study period, the hospitals experienced a 69% average increase (range: -63% to 690%) in cataract surgical volume over baseline with 12 hospitals showing increases over 100%. Twenty-three hospitals experienced a 59% average increase in the number of cataract surgeries per surgeon with 10 hospitals showing increases over 100%. The proportion of paying patients increased in 8 of the 14 hospitals reporting this data. The average mentoring cost per additional surgery for these 25 hospitals was $5.39. An average of $36,489.99 was spent per mentor per year to support their work with mentees. CONCLUSIONS: The intervention resulted in proportionally similar increases in cataract surgical volume and productivity across diverse settings in three distinct geographic regions. Its wide applicability and moderate cost make it an attractive means to rapidly and substantially increase eye care services to meet VISION2020 goals.
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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 | 0.009 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".