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Record W2782405973 · doi:10.5588/pha.17.0055

Respiratory isolation for tuberculosis: the experience of Indigenous peoples on the Canadian prairies

2017· article· en· W2782405973 on OpenAlexaffabout
Maria Mayan, Ty A. Robinson, Rebecca Gokiert, Mélissa Tremblay, Sylvia Abonyi, Richard Long

Bibliographic record

VenuePublic Health Action · 2017
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsUniversity of SaskatchewanUniversity of Alberta
Fundersnot available
KeywordsIndigenousSocial isolationIsolation (microbiology)MedicineQualitative researchFocus groupGeographyGerontologyEthnologySociologyEcologyAnthropology

Abstract

fetched live from OpenAlex

Setting: The Prairie provinces of Canada. Objective: To understand how Indigenous peoples with infectious pulmonary tuberculosis living in different community settings in the Prairie provinces of Canada experience respiratory isolation. Design: Using an exploratory qualitative approach, we interviewed participants living in urban centres, non-remote reserve settings and remote and isolated reserve settings. Results: Through qualitative content analysis of 48 interviews, we determined that participants experienced feelings of confinement regardless of the community setting in which they lived. Participants also experienced family and social disconnect, but the experience was more potent for the remote and isolated reserve participants, who were required to be flown out of their home communities to receive treatment, and for those urban centre and non-remote reserve participants who lacked social connections. The roles of past experiences with sanitoria and of family in providing social support are discussed. Conclusions: The conclusions of this study focus on examining isolation policies and improving the hospital isolation experience.

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)0.002
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.000
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 head0.351
GPT teacher head0.463
Teacher spread0.113 · 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.

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".

Quick stats

Citations5
Published2017
Admission routes2
Has abstractyes

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