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Record W4289047673

Minimally Invasive Glaucoma Surgery: A Budget Impact Analysis and Evaluation of Patients' Experiences, Preferences, and Values.

2019· article· en· W4289047673 on OpenAlexaboutno aff

Bibliographic record

VenuePubMed · 2019
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Impairment Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGlaucomaMedicineGlaucoma surgeryInvasive surgeryOphthalmologyOptometrySurgery
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Glaucoma is a condition that causes progressive damage to the optic nerve, which can lead to visual impairment and irreversible blindness. There is a spectrum of current treatments for glaucoma that aim to reduce intraocular pressure (IOP), including pharmacotherapy (eye drops), laser therapy, and the more invasive option of filtration surgery. A new class of treatments called minimally invasive glaucoma surgery (MIGS) may reduce IOP and offer a better safety profile than more invasive procedures. We conducted a budget impact analysis of MIGS for adults with glaucoma from the perspective of the Ontario Ministry of Health and Long-Term Care. We also conducted interviews with people with glaucoma and family members of people with glaucoma to determine patient preferences and values surrounding glaucoma and its treatment options, including MIGS. We completed this work to complement a health technology assessment conducted in collaboration with the Canadian Agency for Drugs and Technologies in Health (CADTH). METHODS: We assumed MIGS may be used in three subgroups: (1) MIGS in combination with cataract surgery as a replacement for cataract surgery alone in people with mild to moderate glaucoma; (2) MIGS alone as a replacement for other glaucoma treatments in people with mild to moderate glaucoma; and (3) MIGS (alone or in combination with cataract surgery) to replace filtration surgery (alone or in combination with cataract surgery) in people with advanced to severe glaucoma. We estimated the budget impact over 5 years for two possible uptake scenarios: a slow rate of uptake and a fast rate of uptake. To contextualize the lived experience of glaucoma and treatments for glaucoma, we also interviewed people with glaucoma and family members of people with glaucoma, some of whom had experience with surgical procedures such as MIGS and some of whom did not. RESULTS: Assuming a slow uptake scenario, the annual budget impact of publicly funding MIGS in Ontario over the next 5 years ranges from $1 million in year 1 to $18 million in year 5. Assuming a fast uptake scenario, the annual budget impact of publicly funding MIGS in Ontario over the next 5 years ranges from $6 million in year 1 to $70 million in year 5. The budget impact varies depending on the proportion of people in each of the three subgroups described above. Introducing a new MIGS billing code may reduce the overall expenditures. Interview participants felt that less invasive surgical procedures, such as MIGS, could control glaucoma progression with minimal side effects and recovery time needed. CONCLUSIONS: We estimate that publicly funding MIGS in Ontario would result in additional costs over the next 5 years; however, this may depend on the populations using MIGS and if uptake is restricted or controlled. For the people with glaucoma we spoke with, avoiding blindness was their paramount concern, and MIGS was perceived as an effective treatment option with minimal side effects and recovery time required.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.321
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2019
Admission routes1
Has abstractyes

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