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Enregistrement W3121563112 · doi:10.1136/bmjebm-2020-111604

Barriers to reporting guideline adherence in point-of-care ultrasound research: a cross-sectional survey of authors and journal editors

2021· article· en· W3121563112 sur OpenAlex
Ross Prager, Luke B.-P. Gagnon, Joshua Bowdridge, Rudy R Unni, Trevor A. McGrath, Kelly D. Cobey, Patrick M. Bossuyt, Matthew D. F. McInnes

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueBMJ evidence-based medicine · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueUltrasound in Clinical Applications
Établissements canadiensOttawa HospitalUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésLikert scaleGuidelineMedicineFamily medicineCross-sectional studyAlternative medicineSurvey researchMEDLINEPrimary careMedical educationMedical physicsPsychologyPathologyApplied psychology

Résumé

récupéré en direct d'OpenAlex

OBJECTIVE: Although the literature supporting the use of point-of-care ultrasound (POCUS) continues to grow, incomplete reporting of primary diagnostic accuracy studies has previously been identified as a barrier to translating research into practice and to performing unbiased systematic reviews. This study assesses POCUS investigator and journal editor attitudes towards barriers to adhering to the Standards for Reporting of Diagnostic Accuracy Studies (STARD) 2015 guidelines. DESIGN, SETTING, PARTICIPANTS: Two separate surveys using a 5-point Likert scale were sent to POCUS study investigators and journal editors to assess for knowledge, attitude and behavioural barriers to the complete reporting of POCUS research. Respondents were identified based on a previous study assessing STARD 2015 adherence for POCUS studies published in emergency medicine, anaesthesia and critical care journals. Responses were anonymously linked to STARD 2015 adherence data from the previous study. Written responses were thematically grouped into the following categories: knowledge, attitude and behavioural barriers to quality reporting, or other. Likert response items are reported as median with IQRs. MAIN OUTCOME MEASURES: The primary outcome was the median Likert score for the investigator and editor surveys assessing knowledge, attitude and behavioural beliefs about barriers to adhering to the STARD 2015 guidelines. RESULTS: The investigator survey response rate was 18/69 (26%) and the editor response rate was 5/21 (24%). Most investigator respondents were emergency medicine practitioners (13/21, 62%). Two-thirds of investigators were aware of the STARD 2015 guidelines (12/18, 67%) and overall agreed that incomplete reporting limits generalisability and the ability to detect risk of bias (median 4 (4, 5)). Investigators felt that the STARD 2015 guidelines were useful, easy to find and easy to use (median 4 (4, 4.25); median 4 (4, 4.25) and median 4 (3, 4), respectively). There was a shared opinion held by investigators and editors that the peer review process be primarily responsible for ensuring complete research reporting (median 4 (3, 4) and median 4 (3.75, 4), respectively). Three of 18 authors (17%) felt that the English publication language of STARD 2015 was a barrier to adherence. CONCLUSIONS: Although investigators and editors recognise the importance of completely reported research, reporting quality is still a core issue for POCUS research. The shared opinion held by investigators and editors that the peer review process be primarily responsible for reporting quality is potentially problematic; we view completely reported research as an integral part of the research process that investigators are responsible for, with the peer review process serving as another additional layer of quality control. Endorsement of reporting guidelines by journals, auditing reporting guideline adherence during the peer review process and translation of STARD 2015 guidelines into additional languages may improve reporting completeness for the acute POCUS literature. TRIAL REGISTRATION NUMBER: Open Science Framework Registry (https://osf.io/5pzxs/).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,029
score de la tête « metaresearch » (Gemma)0,550
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,521
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0290,550
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,371
Tête enseignante GPT0,549
Écart entre enseignants0,179 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle