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Record W4409804313 · doi:10.1186/s40900-025-00705-3

Co-designing and pilot-testing an infographic to support the consent process in an adaptive platform trial for adults in ICU with community-acquired pneumonia or COVID-19: a mixed methods study within a trial (SWAT)

2025· article· en· W4409804313 on OpenAlexafffundabout
Heather K. O’Grady, Kathy Smith, Sandra Dalziel, Barbara Dolanjski, Gyan Sandhu, Marlene Santos, Jackie Bosch, Lyn S. Turkstra, Srinivas Murthy, John C. Marshall, Michelle E. Kho

Bibliographic record

VenueResearch Involvement and Engagement · 2025
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsSt. Joseph’s Healthcare HamiltonUniversity of British ColumbiaSt. Michael's HospitalCanadian Arthritis Patient AllianceHamilton Health SciencesMcMaster UniversityNiagara Health SystemPopulation Health Research Institute
FundersOntario Ministry of Research, Innovation and ScienceCanada Research ChairsCanadian Institutes of Health ResearchInnovative Medicines CanadaMcMaster University
KeywordsInfographicCoronavirus disease 2019 (COVID-19)PneumoniaMedicineProcess (computing)Informed consentSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Intensive care medicineComputer scienceDiseaseAlternative medicineData miningPathologyInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Informed consent documents educate patients and families about research participation and alternatives. However, given their length and complexity, consent documents can be challenging to understand, particularly in high-stress environments such as the Intensive Care Unit (ICU) and for complex study designs such as platform trials. This is an exploratory sequential mixed methods study-within-a-trial (SWAT) of REMAP-CAP (Randomized, Embedded, Multifactorial, Adaptive Platform Trial for Community-Acquired Pneumonia). Phase 1: We conducted focus groups with individuals with lived experience, including ICU survivors, substitute decision makers (SDMs) and research coordinators (RCs) to refine an infographic to augment a priori REMAP-CAP consent encounters. We analyzed data using inductive content analysis. Phase 2: We piloted the infographic with patients/SDMs approached a priori to participate in REMAP-CAP, who could communicate in English, at five sites in Ontario, Canada. We assessed implementation according to 1) eligible consent encounters (number of patients/SDMs eligible for SWAT / approached for REMAP-CAP), 2) receipt of infographic (number of patients/SDMs who received the infographic / eligible consent encounters), 3) consent to participation in this SWAT by patients/SDMs (number of patients/SDMs who consented / those approached), and 4) feedback questionnaire completion (number of patients/SDMs who completed the questionnaire / those who received it). Phase 1: We conducted two, two-hour focus groups with 5 participants (10 participants total). Participants identified important infographic design considerations (visual presentation, language) and content (study details, participation in research). Integration: Results from Phase 1 were used to develop a final consent infographic. Phase 2: Sixty-three patients were eligible for REMAP-CAP during the study period; 21 were eligible (33%) for the SWAT. Of these, 18 patients/SDMs (86%) received the infographic, 17 consented to the SWAT (94%) and 15 (88%) completed questionnaires. RCs completed case report forms for each consent encounter (n = 18, 100%). We engaged individuals with lived experience to co-design a consent infographic. We achieved three of four pre-specified feasibility objectives during pilot testing of the infographic for a priori REMAP-CAP consent encounters. Although there were fewer eligible consent encounters than anticipated, we identified acceptable rates of infographic delivery, consent to SWAT participation and questionnaire completion. Trial Registration: The Northern Ireland Hub for Trials Methodology Research SWAT Repository (SWAT #176). Informed consent documents educate patients and families about research participation. However, given their increasing length and complexity, consent documents can be challenging to understand, particularly in high-stress environments such as the Intensive Care Unit (ICU). Patient/Family Partners (PFP) identified that consent documents for REMAP-CAP are challenging to understand. REMAP-CAP is a trial which studies treatments for patients admitted to the ICU with pneumonia or COVID-19. PFP wanted to support communication between research staff and patients/families during the consent process. The objective of our project was to develop and determine the feasibility of using an infographic, consisting of words and images, to supplement consent documents for REMAP-CAP. We planned to develop the infographic using input from patients, family members and research coordinators during focus groups. We also planned to use the infographic during real consent discussions for REMAP-CAP and to collect feedback from patients and family members who received the infographic, and research coordinators who used the infographic. We successfully developed an infographic for use at five hospitals in Ontario, Canada. We did not have as many opportunities to use the infographic as we expected. However, when we did, it was feasible to use the infographic and to collect feedback from patients, families and research coordinators. Findings from our study can be used to inform the design of similar tools for other trials and to inform a future study to understand if the infographic can improve the consent process for patients, families and research coordinators.

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)0.058
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0580.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.795
GPT teacher head0.631
Teacher spread0.164 · 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 designRandomized trial
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

Citations2
Published2025
Admission routes3
Has abstractyes

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