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Record W4283811493 · doi:10.1016/j.clwas.2022.100015

Study on the implementation of reverse logistics in medicines from health centers in Brazil

2022· article· en· W4283811493 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

VenueCleaner Waste Systems · 2022
Typearticle
Languageen
FieldMedicine
TopicHealthcare and Environmental Waste Management
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsReverse logisticsBusinessSustainabilityHazardous wasteScope (computer science)PopulationOrder (exchange)Environmental planningWaste managementSupply chainEngineeringMarketingMedicineEnvironmental healthComputer scienceEnvironmental science

Abstract

fetched live from OpenAlex

The need to implement innovative sustainable production processes is a topic of important social relevance in this current century. Environmental tragedies on different continents have revealed that humanity needs to understand how nature belongs to a system that needs to be balanced in order to maintain its existence. One of the major sustainability challenges globally is the management of solid wastes (SW). The rapid urbanization coupled with the increase in the world population has resulted in a consequential increase in the use of various products and their associated generated wastes. Of such SW that is complicated to manage are medical wastes which are deemed hazardous. Thus, the various industries including the health industry must implement a reverse logistic methodology in the disposal of solid wastes in order to efficiently and effectively manage their wastes. Countries such as Brazil, have incorporated reverse logistics into their National Solid Waste Policy (NSWP) thereby ensuring adequate disposal of various solid wastes and co-responsibility among the generators of various wastes. In this study, the strategies adopted within the scope of the Unified Health System (SUS, in Portuguese) in Brazil related to the reverse logistics of medicines consumed in the health industry were investigated. As a methodology, qualitative research such as literature review and documentary were utilized in order to obtain knowledge about the major information about the health industry in Brazil. The findings and discussions provided in this paper revealed that reverse logistics applied to pharmaceutical products in Brazil is still incipient. Although there is consolidated literature on the subject in national studies, there is a lack of evidence that indicates effective models of reverse drug logistics in the country, in a scenario of growth of 10% per year in the generation of this waste on average in the country. It is concluded that reverse drug logistics in Brazil is in an embryonic process, strengthened by the construction of regulations and laws that may encourage industries to adopt good practices in the production and management of drug wastes, and which, when implemented, can generate a reduction of around 12% in the volume generated per year.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.054
GPT teacher head0.355
Teacher spread0.301 · 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