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Record W2790405700 · doi:10.1093/inthealth/ihy005

A review of gastrointestinal protocols for primary care medical service trips (MSTs) in Latin America and the Caribbean

2018· review· en· W2790405700 on OpenAlexaff
Christopher Dainton, Charlene H. Chu

Bibliographic record

VenueInternational Health · 2018
Typereview
Languageen
FieldImmunology and Microbiology
TopicParasites and Host Interactions
Canadian institutionsUniversity Health NetworkToronto Rehabilitation InstituteMcMaster UniversityGrand River Hospital
Fundersnot available
KeywordsProtocol (science)Context (archaeology)TRIPS architectureGuidelineLatin AmericansService (business)MedicineMEDLINEBusinessMarketingAlternative medicineComputer sciencePolitical scienceGeographyPathology

Abstract

fetched live from OpenAlex

Background: Gastrointestinal disorders are among the most common conditions encountered on short-term, primary care medical service trips (MSTs) in Latin America and the Caribbean (LAC), but their optimal management remains unclear. There have been no previous attempts to describe the protocols that Western volunteer clinicians use in managing these patients. Methods: A systematic web search was used to identify organizations operating MSTs in LAC. Clinical protocols were downloaded from organizational websites, and organizations were contacted online to obtain those that were not publicly available. Protocols were analysed qualitatively, and content compared with existing international guidelines. Results: Two hundred and twenty-five organizations were identified and contacted to obtain their clinical protocols, and the content of each protocol was qualitatively analysed. Twenty protocols were obtained, of which 75% (15/20) discussed dyspepsia, 65% (13/20) discussed parasites and 60% (12/20) discussed diarrhoea. The protocols infrequently included literature citations. Conclusion: Gastrointestinal disorder protocols used by MSTs in LAC sometimes neglected important aspects of clinical management that are emphasized in international guidelines. This study is a first step in context-specific clinical guideline development for MSTs operating in LAC.

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 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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.847
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.059
GPT teacher head0.442
Teacher spread0.383 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations3
Published2018
Admission routes1
Has abstractyes

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