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Record W2102398086 · doi:10.1186/1472-6963-14-397

Organising health care services for people with an acquired brain injury: an overview of systematic reviews and randomised controlled trials

2014· review· en· W2102398086 on OpenAlexaff
Kate Laver, Natasha A. Lannin, Peter Bragge, Peter Hunter, Anne E. Holland, Emma Tavender, Denise O’Connor, Fary Khan, Robert Teasell, Russell L. Gruen

Bibliographic record

VenueBMC Health Services Research · 2014
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsWestern University
FundersInstitute for Safety, Compensation and Recovery ResearchNational Health and Medical Research CouncilTransport Accident Commission
KeywordsMedicinePsycINFOSystematic reviewPsychological interventionCINAHLMEDLINEHealth administrationCritical appraisalRandomized controlled trialAcquired brain injuryHealth careCochrane LibraryHealth informaticsNursing researchNursingPublic healthAlternative medicinePhysical therapyRehabilitation

Abstract

fetched live from OpenAlex

BACKGROUND: Acquired brain injury (ABI) is the leading cause of disability worldwide yet there is little information regarding the most effective way to organise ABI health care services. The aim of this review was to identify the most up-to-date high quality evidence to answer specific questions regarding the organisation of health care services for people with an ABI. METHODS: We conducted a systematic review of English papers using MEDLINE, EMBASE, PsycINFO, CINAHL and the Cochrane Library. We included the most recently published high quality systematic reviews and any randomised controlled trials, non-randomised controlled trials, controlled before after studies or interrupted time series studies published subsequent to the systematic review. We searched for papers that evaluated pre-defined organisational interventions for adults with an ABI. Organisational interventions of interest included fee-for-service care, integrated care, integrated care pathways, continuity of care, consumer engagement in governance and quality monitoring interventions. Data extraction and appraisal of included reviews and studies was completed independently by two reviewers. RESULTS: A total of five systematic reviews and 21 studies were included in the review; eight of the papers (31%) included people with a traumatic brain injury (TBI) or ABI and the remaining papers (69%) included only participants with a diagnosis of stroke. We found evidence supporting the use of integrated care to improve functional outcome and reduce length of stay and evidence supporting early supported discharge teams for reducing morbidity and mortality and reducing length of stay for stroke survivors. There was little evidence to support case management or the use of integrated care pathways for people with ABI. We found evidence that a quality monitoring intervention can lead to improvements in process outcomes in acute and rehabilitation settings. We were unable to find any studies meeting our inclusion criteria regarding fee-for-service care or engaging consumers in the governance of the health care organisation. CONCLUSIONS: The review found evidence to support integrated care, early supported discharge and quality monitoring interventions however, this evidence was based on studies conducted with people following stroke and may not be appropriate for all people with an ABI.

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)0.077
metaresearch head score (Gemma)0.226
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.077
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0770.226
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0230.019
Bibliometrics0.0160.016
Science and technology studies0.0020.002
Scholarly communication0.0070.006
Open science0.0040.004
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.401
GPT teacher head0.573
Teacher spread0.172 · 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 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

Citations45
Published2014
Admission routes1
Has abstractyes

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