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Record W2886894797 · doi:10.1111/nhs.12548

Effect of family education program on cognitive impairment, anxiety, and depression in persons who have had a stroke: A randomized, controlled study

2018· article· en· W2886894797 on OpenAlexaboutno aff
Fang Yu, Hongyu Li, Chunling Tai, Ting Guo, Dong Pang

Bibliographic record

VenueNursing and Health Sciences · 2018
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyDepression (economics)Stroke (engine)CognitionHospital Anxiety and Depression ScaleMedicinePsychologyClinical psychologyPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

People who have had a stroke face high risks of cognitive impairment, anxiety, and depression. Health education for family members contributes to better outcomes in various diseases, but the effects of health education on family members of people who have had a stroke are unclear. The aim of the present study was to evaluate the effects of the family member education program (FMEP) on cognitive impairment, anxiety, and depression in persons who have had a stroke. In total, 144 persons who experienced a stroke were randomly allocated to the FMEP group or control group (1:1 ratio). In the FMEP group, the FMEP and conventional treatment were provided, while in control group only conventional treatment was provided. The increase in the Montreal Cognitive Assessment (MOCA) score from baseline to 12 months (M12 - baseline) in the FMEP group was higher compared with the control group, and the FMEP led to a decreased cognitive impairment rate (MOCA score ≤26) after 12 months compared to the control group. Changes in the Hospital Anxiety and Depression Scale anxiety and depression score (M12 - baseline) decreased in the FMEP group compared with the control group. Fewer participants with depression and a lower depression grade were observed in the FMEP group compared with the control group. The FMEP could reduce cognitive impairment, anxiety, and depression in persons who have had a stroke.

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)0.003
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 score0.352
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.022
GPT teacher head0.420
Teacher spread0.398 · 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

Citations14
Published2018
Admission routes1
Has abstractyes

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