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Effect of continuing nursing intervention after discharge from hospital among dementia patients

2015· article· en· W3030705707 on OpenAlexaboutno aff
Zhengqing Zhao, Yanli Song, Jing Zhao

Bibliographic record

VenueZhonghua xiandai huli zazhi · 2015
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaMedicineContinuing careIntervention (counseling)Activities of daily livingMontreal Cognitive AssessmentRehabilitationPhysical therapySignificant differenceQuality of life (healthcare)NeurologyNursing careNursingPsychiatryInternal medicineDisease

Abstract

fetched live from OpenAlex

Objective To investigate the effect of continuing nursing intervention on dementia patients′ daily living and the quality of life after discharge from hospital. Methods Totals of 85 cases of dementia patients according to the inclusion criteria were randomly divided into the observation group and the control group. Both groups received conventional neurology treatment of dementia and general life care after discharging from hospital. Besides, the observation group received continuing care, including family rehabilitation training, regular follow-up assessments and physical exercise. After 12 months enrollment, the observation group and the control group were assessed by using the Montreal Cognitive Assessment(MoCA) and Basic Activities of Daily Living (BADL). Results Before the intervention, no significant difference was found in the scores of MoCA and BADL between the control group and the observation group (P>0.05). After 12 months of intervention, the scores of MoCA in the observation group were (16.72±6.83), while those in the control group were (13.33±7.11). There was a significant difference between the two groups (t=2.24, P 0.05). Conclusions Continuing nursing intervention aimed at dementia patients can promote the rehabilitation of cognitive ability and activities of daily living of patients and effectively delay dementia progress. Key words: Dementia; Continuing nursing care; MoCA; BADL

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.584

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 head0.004
GPT teacher head0.258
Teacher spread0.253 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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