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Record W4378781264 · doi:10.1002/nop2.1819

Effect of intensive care unit diary on quality of life of intensive care unit survivors and their relatives: A systematic review and meta‐analysis

2023· review· en· W4378781264 on OpenAlexaboutno aff
Donghui Hu, Xiaoli Ji, Yaxin Li, YueNing Liang, Jia Chen

Bibliographic record

VenueNursing Open · 2023
Typereview
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisCochrane LibraryIntensive care unitMedicineMEDLINEQuality of life (healthcare)Systematic reviewIntensive care medicineNursingInternal medicine

Abstract

fetched live from OpenAlex

AIM: To evaluate the current literature on the effect of ICU diaries on the quality of life of ICU survivors and their relatives. DESIGN: Systematic review and meta-analysis. METHODS: We searched the online databases Web of Science, PubMed, Embase, The Cochrane Library, CNKI and WanFang from inception to April 2021. Cochrane Risk of Bias Assessment Tool and Newcastle-Ottawa Scale (NOS) were used to assess the methodological quality. RESULTS: Seven studies were identified. ICU diaries improved the QoL of ICU survivors (SMD 0.79, 95% CI 0.24-1.34), and a small study described no benefit of diaries in improving the QoL of relatives. CONCLUSION: This meta-analysis revealed the use of ICU diaries to improve the QoL in survivors, but the ICU diaries do not have a beneficial effect on the QoL in relatives. The evidence summarized in our study is limited and biased, and more research should be carried out to verify it.

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)0.004
metaresearch head score (Gemma)0.074
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.376
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.074
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0160.002
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.395
GPT teacher head0.530
Teacher spread0.135 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations12
Published2023
Admission routes1
Has abstractyes

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