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Record W4316174261 · doi:10.1186/s13063-023-07067-9

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

2023· article· en· W4316174261 on 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

Bibliographic record

VenueTrials · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicFocus Groups and Qualitative Methods
Canadian institutionsCentre for Addiction and Mental HealthSt. Joseph’s Healthcare HamiltonCanadian Arthritis Patient AllianceUniversity of TorontoWestern UniversityUniversity of AlbertaGlycemic Index LaboratoriesSickKids FoundationHospital for Sick ChildrenMcMaster UniversityPublic Health Agency of CanadaInstitute for Clinical Evaluative SciencesImpactCochrane
FundersCanadian Institutes of Health ResearchSickkids Research InstituteHospital for Sick ChildrenStollery Children’s Hospital FoundationChildren's Hospital FoundationMcMaster University
KeywordsUsabilityRandomized controlled trialMedical educationMedicineThematic analysisPopulationProtocol (science)Plain languageStakeholderPsychological interventionApplied psychologyFamily medicineNursingPsychologyQualitative researchAlternative medicineComputer sciencePublic relations

Abstract

fetched live from OpenAlex

INTRODUCTION: The COVID-19 pandemic underlined that guidelines and recommendations must be made more accessible and more understandable to the general public to improve health outcomes. The objective of this study is to evaluate, quantify, and compare the public's 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 (RecMap). METHODS AND ANALYSIS: This is a protocol for a multi-method study. Through an online survey, we will conduct pragmatic allocation-concealed, blinded superiority randomized controlled trials (RCTs) in three populations to test alternative formats of presenting health recommendations: adults, parents, and youth, with at least 240 participants in each population. Prior to initiating the RCT, our interventions will have been refined with relevant stakeholder input. 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 (standard language version). Our primary outcome is understanding, and our secondary outcomes are accessibility and usability, satisfaction, intended behavior, and preference for the recommendation formats. Each population's results will be analyzed separately. However, we are planning a meta-analysis of the results across populations. At the end of each survey, participants will be invited to participate in an optional one-on-one, virtual semi-structured interview to explore their user experience. All interviews will be transcribed and analyzed using the principles of thematic analysis and a hybrid inductive and deductive approach. ETHICS AND DISSEMINATION: Through Clinical Trials Ontario, 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). Findings from this study will be disseminated through open-access publications in peer-reviewed journals and using social media. TRIAL REGISTRATION: Clinicaltrials.gov NCT05358990 . Registered on May 3, 2022.

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)0.121
metaresearch head score (Gemma)0.486
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.366
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1210.486
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.719
GPT teacher head0.669
Teacher spread0.050 · 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; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

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

Citations5
Published2023
Admission routes3
Has abstractyes

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