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Record W2973197223

Avaliação econômica de Vildagliptina para o tratamento de pessoas vivendo com Diabetes Mellitus Tipo 2: perspectiva do Sistema Público de Saúde Brasileiro

2017· article· pt· W2973197223 on OpenAlexaboutno aff
Gustavo Laine Araújo de Oliveira

Bibliographic record

VenueAmericanae (AECID Library) · 2017
Typearticle
Languagept
FieldSocial Sciences
TopicPublic Health in Brazil
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiabetes mellitusGynecologyHumanitiesEndocrinologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

In Brazil, health is a citizens right. To ensure it, Brazil has adopted a universal system - the Unified Health System (SUS), which has to perform integrated therapeutic care actions, including pharmaceutical services. One of the steps in pharmaceutical services is the selection of medicines. To support a choice between treatments has gained importance the set of concepts and methods called Health Technology Assessment. This approach uses scientific and economic evidence to support the health decisions. In Brazil, about 6% of all deaths are attributed to diabetes mellitus and 41% of them occur before the age of seventy. Among people living with this disease, type 2 diabetes mellitus (T2DM) is the type diagnosed in 85% to 95% of them. In Brazil, the drugs considered essential by SUS for people living with T2DM are metformin, glibenclamide, gliclazide, regular insulin and NPH insulin. Patients with a medical prescription of other drugs go to court to force the SUS to provide them. In Minas Gerais, vildagliptin was the most frequently acquired oral hypoglycemic agent to meet legal demands. The aim of this study is to define the cost-effectiveness of vildagliptin for the treatment of people living with T2DM. A cross-sectional study was conducted to identify the average price recorded for purchases of oral hypoglycemic agents by SUS. These prices were compared to federal subsidies in the "Aqui Tem Farmácia Popular" co-pay program and to reimbursements from other countries with universal health systems - Portugal, Spain, Canada and the United Kingdom. A systematic review of the literature was conducted to obtain data on the efficacy and effectiveness of vildagliptin-containing treatments and its comparators. Markov models were built to establish the cost-effectiveness of vildagliptin-containing treatments. Probabilistic sensitivity analysis was performed to evaluate the uncertainties of models and a GDP per capita was considered as the willingness to pay threshold. The amount subsidized by the federal government for each essential drug tablet for T2DM may reach 1023% of the average value of the SUS acquisitions. Overall, the average price in the SUS is lower than that reimbursed in other countries. On the other hand, the copayment with public funds in Brazil is higher than other studied countries. The incremental cost-effectiveness ratio (ICER) of vildagliptin monotherapy compared to metformin alone was approximately $ 20,000, considered above the willingness to pay in Brazil. For the comparison between associations with metformin, vildagliptin presented ICER of around $ 4,700. Evaluating data from observational studies, the ICER of dual vildagliptin-containing treatment was approximately $ 8,600. Although these two ICER are below established willingness to pay threshold, sensitivity analyzes have shown that these values are likely to be above a GDP per capita. Thus, according to the conditions of this study, it is not recommended to include vildagliptin- containing treatments in the SUS care line for the treatment of people living with T2DM.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.042
GPT teacher head0.339
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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