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Record W3004267653 · doi:10.22605/rrh5485

Improving access to phosphorus- and sodium-restricted foods for people living with chronic kidney disease in remote First Nations

2020· article· en· W3004267653 on OpenAlexaffabout
Rebecca Schiff, Holly Freill

Bibliographic record

VenueRural and Remote Health · 2020
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsLakehead UniversityThunder Bay Regional Health Sciences Centre
Fundersnot available
KeywordsContext (archaeology)MedicineKidney diseaseGovernment (linguistics)DiseaseQuality of life (healthcare)Environmental healthFood securityGerontologyGeographyNursingAgriculturePathology

Abstract

fetched live from OpenAlex

CONTEXT: Food insecurity in northern, remote Canadian communities has become increasingly recognised as a significant issue in rural health research and policy. Over the past decade, numerous government and academic reports have emerged, documenting the severity of this issue for the health people living in the Canadian north. People living in northern and remote Canadian communities experience significant challenges related to the cost, quality, and variety of market (store-bought) foods. These issues may be of particular concern for those living with chronic diseases that require therapeutic diets, such as chronic kidney disease (CKD). ISSUES: There is little to no research that documents the impact of food insecurity on disease management and quality of life for those living with CKD and end-stage renal disease (ESRD). There is also limited literature on food access for people living with ESRD in northern and remote communities. People living with food insecurity and CKD in remote communities might experience significant challenges in accessing the foods necessary for adhering to dietary guidelines. LESSONS LEARNED: This commentary examines northern food insecurity and draws attention to dietary challenges for residents of remote communities who are living on restricted or therapeutic diets due to chronic disease. In particular we point to the needs of those living with late-stage CKD and ESRD. We call attention to the need for clinicians to understand the capacity of patients to adhere to therapeutic dietary guidelines in remote communities.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
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 head0.062
GPT teacher head0.382
Teacher spread0.320 · 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

Citations6
Published2020
Admission routes2
Has abstractyes

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