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Record W6981314301

The effectiveness of the Swiss and Canadian antibiotic distribution system compared

2021· other· en· W6981314301 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

VenuereroDoc Digital Library · 2021
Typeother
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsnot available
Fundersnot available
KeywordsAntibiotic resistanceGovernment (linguistics)Distribution (mathematics)Pharmaceutical industryPharmacyMedical insuranceOrder (exchange)AntibioticsHealth careKey (lock)
DOInot available

Abstract

fetched live from OpenAlex

The aim of research paper was to explore the current antibiotic distribution system in Switzerland, as well as all the important players of this complex industry. In order to better understand how this industry functions. It is important to get a big picture by understanding the implication of pharmaceutical companies, health insurance companies, hospitals, doctors, pharmacies and drugstores, and finally the role of the government and other higher instances. The pharmaceutical world is a highly regulated and complex environment and to better understand how the pharmaceutical industry functions, it was important to understand the regulations and guidelines to follow. Furthermore, Canada was use throughout this paper as a comparison. The aim was to understand the Canadian key players, how their system functions. The global health care market was an estimated worth of more than US$ 8’452 billion in 2018 and is dominated by few key players such as Novartis, Roche, Pfizer (Businesswire 2019; Mikulic 2020). These key players are responsible for medication supply throughout the world, including antibiotics. Antibiotics have revolutionized society, when discovered in the early 20s, by Alexander Fleming. They have since helped fight several deadly infections. Antibiotics were a great contribution to the medical world; however, bacteria have, over the years, started to show resistance to certain antibiotic treatment. Scientifics and medical professionals are raising alarm bells to tackle antimicrobial resistance (AMR). The Swiss antibiotic distribution system is highly regulated and conducted in two different ways. One part of Switzerland dispenses antibiotics solely through doctors, the other part only through pharmacies, whereas 2 cantons are exceptions, and have a dual distribution system. Furthermore, an estimate 30 percent of total medication is wasted yearly in Switzerland (Tornare 2017). The Swiss health sector is seeing its prices and costs rise year over year and inefficiency arise. Politicians try to address the inefficiency problem, but their means are only limited. This paper intends to give a clear overview of the complex Swiss health care system. It will also compare the Swiss health care system and its key stakeholders with Canada to understand what is done differently and where there could be improvements. A combination of primary and secondary data will be used to address the effectiveness of the Swiss and Canadian antibiotics distribution system.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.882
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.203
Teacher spread0.196 · 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