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Piloting a tool for informed consent comprehension in a cardiovascular clinical trial in South Africa: An IMPI-2 pilot trial substudy (ICC Study)

2023· article· en· W4366220786 on OpenAlexaff
Godsent Isiguzo, Mary A Familusi, Karen Sliwa, Lehana Thabane, Mpiko Ntsekhe, Bongani M. Mayosi, Jantina de Vries

Bibliographic record

VenueSouth African Medical Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsMcMaster UniversityImpact
FundersEuropean Commission
KeywordsMedicineComprehensionInformed consentFamily medicineRandomized controlled trialClinical trialPhysical therapySurgeryAlternative medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

Background. Informed consent is a key requirement in research. However, the comprehension of information presented is rarelyevaluated prior to or during the research. Ensuring that participants understand the key issues in trials is important, not just forethical reasons, but also because it can help set patient expectations. We evaluated the feasibility of using the University of California Brief Assessment of Capacity to Consent (UBACC) questionnaire to guide informed consent comprehension in the pilot study for the second Investigation of the Management of Pericarditis in Africa (IMPI-2) trial. IMPI-2 is a randomised control trial (RCT) on the use of alteplase-facilitated pericardial drainage, compared with routine care among patients with large pericardial effusion. We used an abbreviated version of the UBACC to evaluate participant comprehension of key elements of the consent documentation and to guide discussions.Method. Comprehension was assessed using a 10-item UBACC at baseline, 6 weeks, 3 months and 6 months follow-up to reiterate the information about the trial. Each response was scored from 0 to 3 and the sum at each visit was recorded to represent comprehension. A UBACC score ≥25 was considered adequate comprehension. Bivariate logistic regression was performed to evaluate comprehension over time. A multivariate analysis was conducted to identify predictors of UBACC score.Results. The Informed Consent Comprehension (ICC) Study included 71 participants with a median age of 42 years; 45% were females and 49% had at least a secondary level of education. Level of comprehension improved with time; the odds of passing the evaluation at baseline compared with 6 months was higher (odds ratio (OR) 1.39, 95% confidence interval (CI) 1.17 - 1.65, p<0.001). Not using interpreters and having a secondary level of education were associated with higher comprehension. Despite knowing that they were participating in research, many participants still did not accept that the trial drug may have no effect.Conclusion. It is feasible to use the UBACC questionnaire for informed consent comprehension evaluation in RCTs. Repeated learning during follow-up improves comprehension over time, while a low level of education and use of interpreters reduces comprehension.

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)0.074
metaresearch head score (Gemma)0.252
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0740.252
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.009
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 head0.651
GPT teacher head0.565
Teacher spread0.086 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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