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Record W2146851013 · doi:10.1017/s0714980809990390

Chronic Health Conditions: Changing Prevalence in an Aging Population and Some Implications for the Delivery of Health Care Services

2010· article· fr· W2146851013 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

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2010
Typearticle
Languagefr
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPopulation ageingHealth care deliveryEnvironmental healthHealth careMedicineGerontologyHealth servicesPopulationEconomic growthEconomics

Abstract

fetched live from OpenAlex

Since the prevalence of many chronic health conditions increases with age, we might anticipate that as the population ages the proportion with one or more such conditions, and the cost of treatment, would rise. How much would the overall prevalence of chronic conditions increase in a quarter century if age-specific rates of prevalence did not change? How much would the requirements for health care resources increase? How much difference would it make to those requirements if people had fewer chronic conditions? The overall prevalence rates for almost all conditions associated mostly with old age would rise by more than 25 per cent, and health care requirements would grow more rapidly than the population - more than twice as rapidly in the case of hospital stays - if the rates for each age group remained constant. Even modest reductions in the average number of conditions at each age could result in substantial savings.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.298
Teacher spread0.279 · 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