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Economic Burden of Late-Stage Age-Related Macular Degeneration in Bulgaria, Germany, and the US

2024· letter· en· W4403940945 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAMA Ophthalmology · 2024
Typeletter
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsAstraZeneca (Canada)
Fundersnot available
KeywordsMedicineMacular degenerationProductivityDiseaseIndirect costsHealth careEconomic costGerontologyDisease burdenEnvironmental healthStage (stratigraphy)DemographyPopulationOphthalmologyPathologyEconomic growth

Abstract

fetched live from OpenAlex

Importance: Age-related macular degeneration (AMD) is a highly prevalent and debilitating retinal condition that affects more than 200 million people globally, with the severe late-stage forms-neovascular AMD (nAMD) and geographic atrophy (GA)-affecting more than 11 million people globally. However, much is unknown about the economic burden of the disease. Objective: To estimate the economic burden associated with late-stage AMD in Bulgaria, Germany, and the US at the societal level. Design, Setting, and Participants: This study used the prevalence approach cost-of-illness economic modeling to estimate costs attributable to late-stage AMD. Data on health care resource utilization, well-being, and productivity were obtained via primary data collection. Additional data required for the model were sourced from available published literature. Data were collected from January 2021 to March 2022, and analyzed from April to July 2022. Participants older than 50 years residing in Bulgaria, Germany, and the US who were diagnosed with late-stage AMD (nAMD or any form of GA) in 1 or both eyes and caregivers who care for people diagnosed with late-stage AMD were recruited through ophthalmological clinics in Bulgaria and Germany and via online newsletters and social media in the US. Main Outcomes and Measures: The main outcomes were direct medical costs (disease-related health care expenditures), indirect medical costs (care support and assistive technology), well-being cost (loss of well-being), and productivity cost (loss in productivity due to the diseases for both patient and caregivers). Results: Of the 128 individuals with late-stage AMD in this study, 80 (62%) were female, and 120 (94%) were aged 60 years or older. Of the 61 caregivers, 43 (70%) were female and 55 (91%) were aged 45 years or older. Estimated per-annum total costs attributable to late-stage AMD were €449.5 million ($512.5 million) in Bulgaria, €7.6 billion ($8.6 billion) in Germany, and €43.2 billion ($49.4 billion) in the US. Across all countries, 10% to 13% of the total cost incurred was attributed to direct medical costs. In Germany and Bulgaria, the biggest contributor to the total economic burden was reduced well-being (67% and 76%, respectively), whereas in the US, loss of productivity (42%) was the biggest contributor. Conclusions and Relevance: The findings of this study indicate a substantial burden of late-stage AMD on patients and caregivers in the US, Germany, and Bulgaria. Across the 3 countries, reduced well-being and loss of productivity were relatively large contributors to the total economic burden. Implementing measures to reduce AMD incidence, delay disease progression, and alleviate humanistic burden may help reduce the economic burden of late-stage AMD.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.715

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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