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Record W3136493011

The Kidney Check program - championing patient-centered, culturally safe, preventive kidney care in Canada's rural and remote Indigenous communities.

2021· article· en· W3136493011 on OpenAlexaffabout
Sarah A. Curtis, David Collister, Heather Martin, Abdul Razaq Sokoro, Lorraine McLeod, Caroline Chartrand, Barry Lavallee, Cathy Woods, Adeera Levin, Paul Komenda

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsUniversity of British ColumbiaFirst Nations Health and Social Secretariat of ManitobaDiabetes CanadaUniversity of ManitobaSeven Oaks General HospitalShared HealthMcMaster UniversityPopulation Health Research InstituteManitoba Health
Fundersnot available
KeywordsIndigenousMedicineCulturally appropriateNursingGerontology
DOInot available

Abstract

fetched live from OpenAlex

The health status of First Nations, Inuit and Metis peoples reflects a disparate sociopolitical and environmental context inextricably linked to Canada’s colonial history. This health inequity is exemplified by the disproportionate burden of chronic diseases such as diabetes, hypertension, and chronic kidney disease (CKD) affecting Indigenous communities. Frequently diagnosed at a younger age and greater severity than non-Indigenous groups, the increasing prevalence of these conditions is of particular concern in rural and remote Indigenous communities (1, 2). Often marginalized from mainstream healthcare services (geographically, economically, or culturally), many of these communities lack the preventive health benefits associated with continuity of care (3). Consequently, the detection and treatment of these conditions is often delayed, resulting in an increased risk of adverse outcomes that impact quality of life and strain healthcare systems. In 2015, the First Nations Community Based Screening to Improve Kidney Health and Prevent Dialysis (FINISHED) program in Manitoba highlighted the efficacy of mobile point-of-care testing among adults and children in 11 rural and remote First Nations communities. Importantly, the program reported that a majority (87%) of CKD cases identified by albuminuria or a decreased estimated glomerular rate were early-stage and potentially treatable, representing an opportunity to prevent or delay kidney failure (4). As the lifetime health and economic burden of CKD is dependent on the severity of the disease, early detection and management represents a crucial opportunity to reduce this burden through risk factor modification including blood pressure control, diabetes management and the use of reno-protective medications, such as Renin-Angiotensin-Aldosterone System (RAAS) and Sodium-glucose co-transporter-2 (SGLT2) inhibitors (5). Modelled after FINISHED, Kidney Check is an Indigenous-led screen and treat program working to bring early detection and preventive kidney care to rural and remote Indigenous communities across Canada (Manitoba, Ontario, British Columbia, Alberta, Saskatchewan) [Table 1]. Using portable diagnostic equipment, specialized Kidney Check health teams screen participating adults and children ages 10 and up for CKD, diabetes, and hypertension. True to its name, point-of care testing (POCT) is designed for use at the site of patient care, presenting an opportunity to expand preventive healthcare to regions with diminished access. Following screening, participants are triaged according to their individualized kidney failure risk prediction scores and are referred to additional resources accordingly. An affiliate of the patient-oriented Canadians Seeking Solutions and Innovations to Overcome Chronic Kidney Disease (Can-SOLVE CKD) research network, the programs design and implementation is guided by foundational research priorities set by patient partners. These and other collaborative partnerships between Kidney Check, Indigenous healthcare providers, adult and pediatric clinician specialists and engaged policy makers contribute to the programs sustainability and success. Table 1 Kidney Check screening communities for British Columbia, Alberta and Manitoba

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
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 head0.176
GPT teacher head0.400
Teacher spread0.224 · 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 designOther design
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

Citations3
Published2021
Admission routes2
Has abstractyes

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