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Enregistrement W4281401012 · doi:10.1101/2022.05.09.22274842

Knowledge mobilization activities to support decision-making by youth, parents, and adults using a systematic and living map of evidence and recommendations on COVID-19: protocol for three randomized controlled trials and qualitative user-experience studies

2022· preprint· en· W4281401012 sur OpenAlexafffundabout
Rana Charide, Lisa Stallwood, Matthew Munan, Shahab Sayfi, Lisa Hartling, Nancy J. Butcher, Martin Offringa, Sarah A Elliott, Dawn P. Richards, Joseph L. Mathew, Elie A. Akl, Tamara Kredo, Lawrence Mbuagbaw, Ashley Motillal, Ami Baba, Matthew Prebeg, Jacqueline Relihan, Shannon D. Scott, Jozef Suvada, Maicon Falavigna, Miloslav Klugar, Tamara Lotfi, Adrienne Stevens, Kevin Pottie, Holger J. Schünemann

Notice bibliographique

RevuemedRxiv · 2022
Typepreprint
Langueen
DomaineHealth Professions
ThématiqueHealth Policy Implementation Science
Établissements canadiensCentre for Addiction and Mental HealthSt. Joseph’s Healthcare HamiltonCochraneUniversity of TorontoCanadian Arthritis Patient AllianceWestern UniversityUniversity of AlbertaImpactInstitute for Clinical Evaluative SciencesGlycemic Index LaboratoriesSickKids FoundationHospital for Sick ChildrenMcMaster University
Organismes subventionnairesCanadian Institutes of Health ResearchMcMaster University
Mots-clésRandomized controlled trialPopulationPsychological interventionMedicineMedical educationUsabilityFamily medicineStakeholderProtocol (science)Health carePsychologyNursingAlternative medicinePublic relationsComputer sciencePolitical science

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction The COVID-19 pandemic underlined that guidelines and recommendations must be made more accessible and more understandable to the general public, including adults, parents, and youth, to improve health outcomes. The objective of this study is to evaluate, quantify, and compare the public’s (youth, parents, and adult populations) understanding, usability, satisfaction, intention to implement, and preference for different ways of presenting COVID-19 health recommendations derived from the COVID-19 Living Map of Recommendations and Gateway to Contextualization (herein referred to as the RecMap). Methods and Analysis This is a protocol for a multi-method study. We will conduct pragmatic allocation-concealed, blinded superiority randomized controlled trials (RCT) in three populations to test alternative formats of presenting health recommendations: adults (21 years of age or older), parents (18 years or above and are a parent or legal guardian of a child under 18 years old), and youth (15 to 24 years old), with at least 240 participants in each population. The research will consist of a randomized online survey and an optional one-on-one interview. Prior to initiating the RCT, our interventions will have been refined with relevant stakeholder input. In each population group, the intervention arm will receive a plain language recommendation (PLR) format while the control arm will receive the corresponding original recommendation format as originally published by the guideline organizations (herein referred to as Standard Language Version). Our primary outcome is understanding, and our secondary outcomes are accessibility and usability, satisfaction, intended behavior, and preference for the two recommendation formats. Each population’s results will be analyzed separately. However, we are planning a meta-analysis of the results across populations, and will also explore potential interaction and subgroup effects within each population. At the end of each survey, participants will be invited to participate in a one-on-one, virtual semi-structured interview to explore their user experience and their learning preferences and future research. All interviews will be transcribed and analyzed using the principles of thematic analysis and a hybrid inductive and deductive approach. Iterative member checking, triangulation, interpretation, and saturation of themes will be sought to enhance reliability. Ethics and Dissemination Through Clinical Trials Ontario (CTO), the Hamilton Integrated Research Ethics Board has reviewed and approved this protocol (Project ID: 3856). The University of Alberta has approved the parent portion of the trial (Project ID:00114894). All potential participants will be required to provide informed consent. The findings from this study will be disseminated through open-access publications in peer-reviewed journals and using social media. Strengths and limitations of this study We are following a multi-method approach: randomized controlled trials and qualitative interviews. The qualitative results will supplement and help explain our quantitative findings. This protocol is reported in accordance with the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT), which enhances transparency and completeness. The trials use previously validated outcomes from similar trials. This will strengthen the credibility of our results. Our study is testing an optimized plain language recommendation format, which makes our intervention relevant to our stakeholder groups, and is recruiting internationally, which ensures the inclusion of a diverse population. Recruitment will take place online using social media, and data will be collected using an online survey. This allows for self-selection and limits accessibility to those who have no or limited digital access, which in turn limits generalizability. While the recommendations are offered in multiple languages through the RecMap, the study is only testing English plain language recommendation summaries.

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.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,115
score de la tête « metaresearch » (Gemma)0,128
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: aucune
GenreSignal candidat: Protocole · Signal consensuel: Protocole
Score de désaccord entre enseignants0,885
Score d'incertitude au seuil0,610

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1150,128
Méta-épidémiologie (sens strict)0,0050,004
Méta-épidémiologie (sens large)0,0090,011
Bibliométrie0,0060,006
Études des sciences et des technologies0,0050,005
Communication savante0,0060,005
Science ouverte0,0040,006
Intégrité de la recherche0,0080,008
Charge utile insuffisante (le modèle a refusé de juger)0,0590,010

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 Opus0,816
Tête enseignante GPT0,736
Écart entre enseignants0,080 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeEssai randomisé
DomaineMéthodes
GenreProtocole

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2022
Routes d'admission3
Résumé présentoui

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