Immediate versus delayed sequential bilateral cataract surgery in children: a cost-effectiveness analysis
Bibliographic record
Abstract
BACKGROUND/AIMS: Children with bilateral cataracts may undergo immediate sequential bilateral cataract surgery (ISBCS), which involves surgery on both eyes during the same general anaesthesia, or delayed sequential bilateral cataract surgery (DSBCS), which involves operating on each eye on separate days and requires a second anaesthesia. ISBCS is viewed with caution because of the risk of bilateral endophthalmitis. Proponents of ISBCS emphasise that the incidence of serious complications is low and is outweighed by benefits such as avoidance of multiple anaesthesia, faster visual rehabilitation and potential for decreased costs. However, there is a paucity of literature regarding the cost-effectiveness of ISBCS in children. We conducted a cost-effectiveness analysis to determine whether ISBCS is more cost-effective than DSBCS from the societal and health system perspectives in Ontario, Canada, which has a universal, single-payer system. METHODS: A retrospective analysis of children who underwent ISBCS or DSBCS at a tertiary referral paediatric hospital was conducted. A decision tree was constructed using TreeAge Pro 2018 software. Clear visual axis was the measure of effectiveness. A time horizon of 8 weeks postoperatively was adopted. Both direct and indirect costs were included. RESULTS: Fifty-three children were included, 37 in the ISBCS group and 16 in the DSBCS group. ISBCS and DSBCS were equally effective. ISBCS resulted in cost-savings of $3,776 (95% CI:-$4,641 to $12,578) CAD, per patient, from the societal perspective and $2,200 (95% CI:-$5,615 to $10,373) CAD per patient from the health system perspective. CONCLUSION: ISBCS was less costly than DSBCS from both societal and health system perspectives while being equally effective.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.006 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".