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Record W1968092942 · doi:10.1002/rnj.130

A Review of Educational Programs to Reduce UTIs Among Individuals with SCI

2013· review· en· W1968092942 on OpenAlex
Rachel Mays, Amanda McIntyre, Swati Mehta, Denise Hill, Dalton L. Wolfe, Robert Teasell

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.

Bibliographic record

VenueRehabilitation Nursing · 2013
Typereview
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsSt Joseph's Health CareWestern UniversityParkwood InstituteSt. Joseph's HospitalLawson Health Research Institute
Fundersnot available
KeywordsRandomized controlled trialMedicineUrinary systemIncidence (geometry)Scale (ratio)Internal medicine

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate the effectiveness of educational programs in reducing urinary tract infections (UTIs) in individuals with spinal cord injuries (SCI). METHODS: A search of all relevant literature published up to and including July 2012 was conducted using multiple databases. Methodological quality was rated using the PEDro tool for randomized control trials (RCTs) and the Downs and Black tool for non-RCTs; levels of evidence were assigned using a modified Sackett scale. FINDINGS: Four articles were selected for review. As a result of an education program, a level 2 prospective control trial reported a reduction in number of UTIs (p = .02), but a level 2 RCT did not. A pre-post study found a reduction in number of UTIs while a case-control study did not; however, these studies did not compute statistics. CONCLUSIONS: There is limited positive evidence that education programs reduce the incidence of UTIs. CLINICAL RELEVANCE: Optimal urinary health of individuals with SCI may be optimized via education programs that provide information and enhance skills.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
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 head0.041
GPT teacher head0.399
Teacher spread0.358 · 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