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Record W3121939860

Should Public Drug Plans be Based on Age or Income

2014· article· en· W3121939860 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueC.D. Howe Institute Commentary · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessPrescription drugPopulationWelfareMedical prescriptionPopulation ageingPublic economicsEconomic growthEnvironmental healthMedicineEconomics
DOInot available

Abstract

fetched live from OpenAlex

Drugs have become an increasingly critical part of healthcare services in Canada over the last few decades – with nearly $30 billion spent on prescription drugs nationwide in 2013. But it’s not clear that the current design of most provincial drug plans can withstand the financial pressures of an aging population and offer equitable access to public benefits. Owing to budgetary constraints, each province has designed unique, non-universal drug coverage to fill the gaps where private insurance does not exist. Provincial drug plans offer coverage based on an individual’s age, income, availability of private insurance (through one’s employer), or some combination of the three. We look at the most common age-based provincial plans – as well as the trend towards income-based plans. Age-based plans, which usually apply only to seniors, have major drawbacks. These include a cost structure that will be pressured from an aging population and inequities in benefit access: seniors with income and drug needs similar to a working-age family without private drug coverage pay a much smaller share of their drug costs than the family does. Provinces with age-based plans also extend benefits to those on social assistance, making transitioning off welfare difficult for families with drug needs. Further, low-income workers are those most likely to be under- or uninsured in provinces with age-based plans, which include Ontario, Alberta, Prince Edward Island and Nova Scotia. Income-based plans have challenges as well. They must be designed carefully to avoid significantly increasing in public costs and hindering access to prescribed drugs. Plus, provinces must consider how income-tested benefits can have negative incentive effects on work. High marginal tax rates reduce the incentive to work and earn. And when combined with reductions in the plethora of targeted government programs, badly designed income-based plans can create high marginal tax rates. We compare the advantages and pitfalls in moving from an age-based plan to one based on income. Further, we glean lessons from provinces with income-based plans – British Columbia and New Brunswick, which will have a new plan in 2015. On balance, we find that the benefits of an income-based plan make them superior to age-based ones. An income-based plan would apply to all individuals and families without private coverage, including those on social assistance and seniors. Although much of the discussion for reforming Canada’s drug coverage to date has focussed on creating a universal federal drug plan, other options must be explored absent political traction in pursuit of this approach. Age-based plans might have been a cost-friendly option decades ago when the ratio of seniors to workers was low, but the wave of retiring baby boomers will rapidly makes these plans less affordable. Income-based plans are a better alternative for cash-constrained provinces.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.479
GPT teacher head0.425
Teacher spread0.054 · 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