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Who should benefit and why?: Discourses on REDD+ benefit sharing

2012· article· en· W10179705 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

VenuePharmacoEconomics · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
Fundersnot available
KeywordsCLARITYLegitimacyBusinessAffect (linguistics)Public economicsPublic relationsPolitical scienceEconomicsPsychology

Abstract

fetched live from OpenAlex

The purpose of this study is to model the potential economic impact of viral load-driven triple drug combination (including a protease inhibitor) antiretroviral therapy on incremental drug and hospitalisation costs among individuals with HIV disease. Individuals included in the study were HIV-positive men and women from the province of British Columbia, Canada, who were aged 18 years or older and had given consent to access their medical records. The study employed pharmacoeconomic modelling of drug- and hospital-utilisation patterns among a population-based cohort with free access to antiretroviral therapy. Protease inhibitor use and associated costs based on actual use in a subsequent period was modelled upon men and women who were able to maintain stable CD4+ cell counts (slope > or = 0) for at least 6 months (baseline period) with an average follow-up period of 30 months (protease-like group). A control was modelled upon individuals with declining CD4+ cell counts (slope < 0) during similar baseline and follow-up periods. The primary outcome measure was average annual incremental cost of triple drug therapy net of hospitalisation and testing costs in 1996 Canadian dollars ($Can). The utilisation pattern of drugs and hospitals was modelled from actual use among a total of 1271 individuals who were eligible for this analysis. Programme participants who gave consent to access their medical records were more likely to be men (p < 0.001), older (p < 0.020), and on antiretroviral therapy (p < 0.001) than programme participants who did not give consent. No differences were observed between the protease-like and comparison groups with respect to age (p = 0.65) and CD4+ cell count (p = 0.30) at study entry. Over a period of 1 year, the protease-like group was shown to spend less time in hospital (2.7 vs 6.6 days; p < 0.001). This difference in hospitalisation remained in multivariate models, adjusting for prior AIDS-defining illnesses and gender. The average annual incremental cost of adding a protease inhibitor to a 2-drug antiretroviral regimen was estimated to be $Can2318 per person. The cost implications of hospital stay while using a protease inhibitor drug and 2 nucleosides translated into an average annual incremental cost (savings if negative) of between -$Can4798 and -$Can2227 per person. The overall average annual incremental cost impact per person associated with triple drug therapy with a protease inhibitor varied between -$Can2288 to $Can283. Negative incremental costs imply overall savings from adopting triple combination therapy. This modelling exercise demonstrated that the cost of triple drug combination antiretroviral therapy with a protease inhibitor among HIV-positive men and women was considerably less than the expected acquisition cost of the drug alone due to hospitalisation savings in the province of British Columbia.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
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 head0.064
GPT teacher head0.294
Teacher spread0.230 · 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