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Record W4293247029 · doi:10.1016/j.xkme.2022.100540

Patient Navigators for CKD and Kidney Failure: A Systematic Review

2022· review· en· W4293247029 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueKidney Medicine · 2022
Typereview
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsUniversity of AlbertaUniversity of ManitobaOrthopaedic Innovation Centre
FundersKidney Foundation of Canada
KeywordsKidney diseaseMedicineIntensive care medicineSystematic reviewChronic kidney failureDiseaseMEDLINEInternal medicine

Abstract

fetched live from OpenAlex

Rationale & Objective: To what degree and how patient navigators improve clinical outcomes for patients with chronic kidney disease (CKD) and kidney failure is uncertain. We performed a systematic review to summarize patient navigator program design, evidence, and implementation in kidney disease. Study Design: A search strategy was developed for randomized controlled trials and observational studies that evaluated the impact of navigators on outcomes in the setting of CKD and kidney failure. Articles were identified from various databases. Two reviewers independently screened the articles and identified those meeting the inclusion criteria. Setting & Participants: Patients with CKD or kidney failure (in-center hemodialysis, peritoneal dialysis, home hemodialysis, or kidney transplantation). Selection Criteria for Studies: Studies that compared patient navigators with a control, without limits on size, duration, setting, or language. Studies focusing solely on patient education were excluded. Data Extraction: Data were abstracted from full texts and risk of bias was assessed. Analytical Approach: No meta-analysis was performed. Results: Of 3,371 citations, 17 articles met the inclusion criteria including 14 original studies. Navigators came from various healthcare backgrounds including nursing (n=6), social worker (n=2), medical interpreter (n=1), research (n=1), and also included kidney transplant recipients (n=2) and non-medical individuals (n=2). Navigators focused mostly on education (n=9) and support (n = 6). Navigators were used for patients with CKD (n=5), peritoneal dialysis (n=2), in-center hemodialysis (n=4), kidney transplantation (n=2), but not home hemodialysis. Navigators improved transplant workup and listing, peritoneal dialysis utilization, and patient knowledge. Limitations: Many studies did not show benefits across other outcomes, were at a high risk of bias, and none reported cost-effectiveness or patient-reported experience measures. Conclusions: Navigators improve some health outcomes for CKD but there was heterogeneity in their structure and function. High-quality randomized controlled trials are needed to evaluate navigator program efficacy and cost-effectiveness.

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.

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)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.293
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.035
GPT teacher head0.349
Teacher spread0.313 · 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