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Record W2389424045

Impact of Personalized Intervention with Family's Participation on the Security of Intravenous Infusions in Patients with Mild Cognitive Impairment

2014· article· en· W2389424045 on OpenAlexaboutno aff
Chen Genhon

Bibliographic record

VenueClinical Medicine & Engineering · 2014
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIncidence (geometry)Intervention (counseling)Cognitive impairmentCognitionIntravenous InfusionsMontreal Cognitive AssessmentPatient satisfactionAnesthesiaEmergency medicineNursingPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective To explore the effect of personalized intervention with family's participation on the security of intravenous infusions in patients with mild cognitive impairment(MCI). Methods 39 cases of MCI patients with intravenous infusions in our hospital from September 2013 to December 2013 were selected as the control group, while 40 cases of MCI patients from January 2014 to April 2014 were selected as the observation group. All patients received same nursing intervention; in addition, patients in the observation group had family's participation during the nursing intervention process. The scores of Montreal cognitive assessment(MoCA), incidence of safety issues during intravenous infusion and satisfaction to intravenous infusion were compared between two groups. Results The observation group was superior to the control group in the scores of MoCA, incidence of safety issues during intravenous infusion and satisfaction to intravenous infusion(P 0.05). Conclusions Personalized intervention with family's participation can effectively improve MCI patients' cognitive function, reduce the incidence of safety issues during intravenous infusion, and improve patients' satisfaction to intravenous infusion.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.012
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.030
GPT teacher head0.335
Teacher spread0.305 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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