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Record W2016870089 · doi:10.1097/ta.0b013e31828c4787

Trauma center performance indicators for nonfatal outcomes

2013· article· en· W2016870089 on OpenAlexafffund
Lynne Moore, Henry T. Stelfox, Amélie Boutin, Alexis F. Turgeon

Bibliographic record

VenueThe Journal of Trauma: Injury, Infection, and Critical Care · 2013
Typearticle
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsMedicineCINAHLMEDLINEIntensive care unitEmergency medicineAdverse effectTrauma centerIntensive care medicineRetrospective cohort studyPsychological interventionNursingInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: According to Donabedian's framework, outcomes covering the following six domains should be used to evaluate health care quality: death, adverse events, readmissions to hospital, resource use, quality of life, and ability to function in daily activities. The objective of this study was to identify the nonfatal outcomes that have been used to evaluate the performance of trauma hospitals. Secondary objectives were to describe definitions and methodological quality. METHODS: We performed a scoping literature review of studies using at least one nonfatal outcome to evaluate the performance of acute care hospitals for the treatment of general trauma populations. We searched MEDLINE, EMBASE, Cochrane central, CINAHL, BIOSIS, TRIP and ProQuest databases. Methodological quality was evaluated using elements of the STROBE statement and the Downs and Black tool. RESULTS: Of 14,521 citations, 40 were eligible for inclusion. We identified 14 nonfatal outcomes as follows: (i) adverse events including complications (used in 35 evaluations), missed injuries (n = 4), reintubation (n = 2), unplanned intensive care unit admissions (n = 2), and unplanned surgeries (n = 4); (ii) resource use including hospital (n = 19), intensive care unit (n = 15), and ventilator (n = 4) length of stay, inappropriate hospital stay (n = 1), and potentially unnecessary care (n = 1); (iii) hospital readmissions (n = 4); and (iv) ability to function in daily activities including functional capacity (n = 2), and discharge destination (n = 3). No measures of quality of life were identified. There was high heterogeneity in the definitions used. Only 18% of studies had high methodological quality. CONCLUSION: Among recommended domains of nonfatal outcomes, adverse events and resource use were frequently used to evaluate trauma care, readmissions and function in daily activities were rarely used, and quality of life was never used. In addition, definitions of nonfatal outcomes were variable, and methodological quality was low. There is a need to develop valid and reliable performance indicators based on each domain of Donabedian's framework to evaluate trauma care.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.117
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.031
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.117
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0280.024
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.017
GPT teacher head0.319
Teacher spread0.301 · 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 source (direct Gemma or distilled Codex), 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

Citations15
Published2013
Admission routes2
Has abstractyes

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