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Record W4379599937 · doi:10.1136/emermed-2022-212514

Patient and public involvement in emergency care research: a scoping review of the literature

2023· review· en· W4379599937 on OpenAlexaboutno aff
Rachel Muir, Joan Carlini, Julia Crilly, Jamie Ranse

Bibliographic record

VenueEmergency Medicine Journal · 2023
Typereview
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsCINAHLMedicineMEDLINEQuality (philosophy)Emergency departmentRelevance (law)Consistency (knowledge bases)Medical emergencyEmergency medicineNursingPsychological intervention

Abstract

fetched live from OpenAlex

BACKGROUND: Establishing the benefits of patient and public involvement (PPI) in emergency care research is important to improve the quality and relevance of research. Little is known about the extent of PPI in emergency care research, its methodological and reporting quality. This scoping review aimed to establish the extent of PPI in emergency care research, identify PPI strategies and processes and assess the quality of reporting on PPI in emergency care research. METHODS: Keyword searches of five databases (OVID MEDLINE, Elsevier EMBASE, EBSCO CINAHL, PsychInfo, Cochrane Central Register of Controlled trials); hand searches of 12 specialist journals and citation searches of the included journal articles were performed. A patient representative contributed to research design and co-authored this review. RESULTS: A total of 28 studies reporting PPI from the USA, Canada, UK, Australia and Ghana were included. The quality of reporting was variable, with only seven studies satisfying all Guidance for Reporting Involvement of Patients and the Public short form reporting criteria. None of the included studies adequately described all the key aspects of reporting the impact of PPI. CONCLUSION: Relatively few emergency care studies comprehensively describe PPI. Opportunity exists to improve the consistency and quality of reporting of PPI in emergency care research. Further research is required to better understand the specific challenges for implementing PPI in emergency care research, and to determine whether emergency care researchers have adequate resources, education and funding to undertake and report involvement.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
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 score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0110.000

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 head0.646
GPT teacher head0.595
Teacher spread0.051 · 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

Citations11
Published2023
Admission routes1
Has abstractyes

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