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Record W2804040743 · doi:10.1177/2054358118775098

Overview of Self-Management Resources Used by Canadian Chronic Kidney Disease Clinics: A National Survey

2018· article· en· W2804040743 on OpenAlexafffundabout
Maoliosa Donald, Sarah Gil, Bhavneet Kahlon, Heather Beanlands, Sharon E. Straus, Gwen Herrington, Braden Manns, Brenda R. Hemmelgarn

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2018
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of TorontoCanadian Association of Nurses in OncologyToronto Metropolitan UniversitySt. Michael's HospitalUniversity of Calgary
FundersCanadian Institutes of Health ResearchHealth Research Board
KeywordsMedicineKidney diseaseNephrologyIntensive care medicineFamily medicineEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic kidney disease (CKD) clinics across Canada provide tailored care for patients with CKD with an aim to slow progression and prevent complications. These clinics provide CKD self-management resources; however, there is limited information about what resources are being used by clinics. We undertook a survey of CKD clinics across Canada to identify self-management resources for adults aged 18 years and over with CKD categories 1 to 5 and not requiring dialysis or transplant. OBJECTIVE: To identify and collate self-management resources (eg, strategies, tools, educational materials) used by CKD clinics across Canada for adults with CKD (categories 1 to 5, not requiring kidney replacement therapy). DESIGN: Self-administered, semistructured electronic survey. SETTING PARTICIPANTS: Canadian CKD clinics with previously identified contact information. METHODS AND MEASUREMENTS: We contacted 57 CKD English-speaking clinics and invited them to complete an online survey. The survey was available from October 2016 to January 2017 and consisted of 17 questions regarding the use and attributes of self-management resources including topic, delivery format, provider, target population, where the intervention was provided, and resource languages. RESULTS: Forty-four clinics (77%) completed the survey. The most common topic was modality education provided in print format, by nurses. The most frequently used resource was the Kidney Foundation of Canada (KFOC) Living With Kidney Disease manual. We also identified that the majority of resources were available in English, targeting both patients and caregivers in the outpatient setting. LIMITATIONS: Our survey included Canadian adult CKD clinics, which may not be generalizability to other settings, such as care of people with CKD in primary care. CONCLUSIONS: Adult CKD clinics across Canada provide some similar resources, but also provide many different self-management resources. Even though some of the same resources were used by multiple clinics, the way they were provided them (ie, provider, location, delivery format) varied by the individual clinics. Knowledge of self-management resources currently provided in CKD clinics, along with synthesis of the literature and patient preferred self-management strategies, will inform the design and development of a novel self-management intervention that is patient-centric and adheres to the principles of self-management.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.010
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.321
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations19
Published2018
Admission routes3
Has abstractyes

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