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Record W4379511706 · doi:10.2478/amns.2023.1.00286

Effect of IMB model nursing on patients’ self-perceived burden and cognitive function

2023· article· en· W4379511706 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueApplied Mathematics and Nonlinear Sciences · 2023
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionMedicineIntervention (counseling)Heart failurePhysical therapyNursingPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Abstract The purpose of this study is to investigate the effectiveness of a nursing intervention based on the Information-Motivation-Behavioral Skills Model(IMB Model) in patients with chronic heart failure. An average of 100 patients with chronic HF admitted to our hospital from January 2020 to December 2021 were divided into two groups. 50 patients in the experimental group were given IMB model care, and 50 patients in the control group underwent routine care measures. Patients were evaluated both before and after the intervention using the self-perceived burden scale and the Montreal Cognitive Assessment Scale. The experimental results showed that after 6 months of intervention, the self-perceived burden scores of both groups decreased, with the experimental group significantly lower than the control group. The cognitive function was higher in the experimental group than in the control group. This experiment concludes that the IMB model nursing intervention can relieve the burden of chronic heart failure, and improve the cognitive function of the disease in patients with chronic heart failure.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.208

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.297
Teacher spread0.282 · 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