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Record W2889282370 · doi:10.31674/mjn.2018.v10i01.012

NURSE-LED INTERVENTION TO IMPROVE THE QUALITY OF LIFE AMONG ADULTS WITH TYPE 2 DIABETES UNDERGOING HEMODIALYSIS

2018· article· en· W2889282370 on OpenAlexaff
Melba Sheila D’Souza, Ramesh Venkatesaperumal, Jennifer L. Walden, Pramod Kamble

Bibliographic record

VenueThe Malaysian Journal of Nursing · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsAbbotsford Veterinary Clinic
Fundersnot available
KeywordsMedicineType 2 diabetesQuality of life (healthcare)HemodialysisRandomized controlled trialDiabetes mellitusIntervention (counseling)Kidney diseaseRenal functionEnd stage renal diseaseDiseaseRepeated measures designPhysical therapyInternal medicineNursingEndocrinology

Abstract

fetched live from OpenAlex

Aim: Chronic kidney disease is a progressive decline in renal function with a reduced glomerular filtration rate and proteinuria. The study evaluates the nurse-led intervention to improve the quality of life among adults with type 2 diabetes on hemodialysis.Methods: The study was a randomized controlled trial with a pre-test and post-test in a tertiary hospital. A random sample of 110 adults with type 2 diabetes (T2D) and end-stage renal disease (ESRD) in the intervention and 100 adults in the control group was selected for the study in 2017. General linear model and Repeated measures were done to determine the effects of thegroup. Results: A statistically significant main effect (between-groups), within-group (time) and interaction effects for intervention were detected in all the parameters across time from T2 to T3 in the intervention group. Conclusion: Nurse-led intervention had a positive effect on the kidney disease, physical and mental health among the adults with T2D and end-stage renal disease.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.024
GPT teacher head0.327
Teacher spread0.303 · 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.

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

Citations6
Published2018
Admission routes1
Has abstractyes

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