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The cost-effectiveness of early rehabilitation of burns patients

2013· article· en· W3029049175 on OpenAlexaboutno aff
Huixia Liu, Shuiyuan Xiao, Xunqiang Yin, Fei-yue Liu

Bibliographic record

VenueZhonghua wuli yixue zazhi · 2013
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationMedicinePsychological interventionPhysical therapyCost effectivenessNursing

Abstract

fetched live from OpenAlex

Objective To compare the cost-effectiveness of intervention protocols with or without rehabilitation approaches for burn patients.To explore the pros and cons of the two treatment programs,especially in terms of efficacy.Methods Data on 164 burn patients hospitalized in four hospitals in Hunan Province were collected and compared in terms of the therapeutic interventions employed,the direct medical costs and the effects obtained at the end of the first two months of hospitalization.The patients were divided into an early rehabilitation therapy group and a control group,based on the interventions they received.Results The average total direct medical cost of the early rehabilitation group was significantly lower than that of the control group [((¥)59 380.80 ±196.87) versus ((¥)67 471.62 ±217.23)].The average Vancouver scar scale (VSS) results in the early rehabilitation group were significantly better than those of the controls,but their Zung's Self-rating Anxiety Scale and Barthel index scores were not.The average cost-effectiveness ratio (C/E) of the early rehabilitation group as judged by these scores was lower than that of the control group.Conclusion Early rehabilitation can improve the therapy of burns patients and reduce subsequent expenditures.It is a cost-effective approach to treating burns patients. Key words: Burns;  Rehabilitation;  Cost-effectiveness

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 score0.025
Threshold uncertainty score0.322

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 head0.014
GPT teacher head0.280
Teacher spread0.266 · 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
Published2013
Admission routes1
Has abstractyes

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