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Record W2085630269 · doi:10.1136/bmjopen-2014-006543

Quality indicators for hip fracture patients: a scoping review protocol

2014· review· en· W2085630269 on OpenAlexafffund
Kristen Pitzul, Sarah Munce, Laure Perrier, Lauren A Beaupré, Suzanne N. Morin, Rhona McGlasson, Susan Jaglal

Bibliographic record

VenueBMJ Open · 2014
Typereview
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsBone and Joint CanadaUniversity of AlbertaMcGill UniversityUniversity of TorontoUniversity Health NetworkToronto Rehabilitation Institute
FundersCanadian Institutes of Health ResearchAlberta Innovates
KeywordsMedicineHip fractureInclusion (mineral)Health careQuality (philosophy)Protocol (science)MEDLINEMedical emergencyPatient safetyAlternative medicineOsteoporosis

Abstract

fetched live from OpenAlex

INTRODUCTION: Hip fractures are a significant cause of morbidity and mortality and care of hip fracture patients places a heavy burden on healthcare systems due to prolonged recovery time. Measuring quality of care delivered to hip fracture patients is important to help target efforts to improve care for patients and efficiency of the health system. The purpose of this study is to synthesise the evidence surrounding quality of care indicators for patients who have sustained a hip fracture. Using a scoping review methodology, the research question that will be addressed is: "What patient, institutional, and system-level indicators are currently in use or proposed for measuring quality of care across the continuum for individuals following a hip fracture?". METHODS AND ANALYSIS: We will employ the methodological frameworks used by Arksey and O'Malley and Levac et al. The synthesis will be limited to quality of care indicators for individuals who suffered low trauma hip fracture. All English peer-reviewed studies published from the year 2000-most recent will be included. Literature search strategies will be developed using medical subject headings and text words related to hip fracture quality indicators and the search will be peer-reviewed. Numerous electronic databases will be searched. Two reviewers will independently screen titles and abstracts for inclusion, followed by screening of the full text of potentially relevant articles to determine final inclusion. Abstracted data will include study characteristics and indicator definitions. DISSEMINATION: To improve quality of care for patients and create a more efficient healthcare system, mechanisms for the measurement of quality of care are required. The implementation of quality of care indicators enables stakeholders to target areas for improvement in service delivery. Knowledge translation activities will occur throughout the review with dissemination of the project goals and findings to local, national, and international stakeholders.

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)0.104
metaresearch head score (Gemma)0.072
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.104
Threshold uncertainty score0.547

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1040.072
Meta-epidemiology (narrow)0.0060.007
Meta-epidemiology (broad)0.0140.012
Bibliometrics0.0190.017
Science and technology studies0.0060.005
Scholarly communication0.0100.010
Open science0.0080.008
Research integrity0.0110.009
Insufficient payload (model declined to judge)0.0780.017

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 head0.196
GPT teacher head0.587
Teacher spread0.391 · 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
GenreProtocol

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

Citations9
Published2014
Admission routes2
Has abstractyes

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