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Record W2622770762 · doi:10.1161/str.43.suppl_1.a3590

Abstract 3590: Quantification of Resources Needed for Successful Recruitment for Multiracial Stroke Randomized Controlled Trials

2012· article· en· W2622770762 on OpenAlexaff
Dorothy Farrar Edwards, Regina Coles, Deeonna E. Farr, Michael C. Gibbons, Sara Loftin, Andrea Wein, Sabiha Fatima, Stephen Fernandez, Nawar Shara, Anapurni Jayram-Trouth, Chelsea S. Kidwell, Alexander W. Dromerick

Bibliographic record

VenueStroke · 2012
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsMedicineStroke (engine)Randomized controlled trialInclusion (mineral)Intervention (counseling)Family medicineEthnic groupClinical trialAcute strokeStroke recoveryPhysical therapyEmergency medicineNursingRehabilitationSurgeryEmergency departmentInternal medicine

Abstract

fetched live from OpenAlex

Background: Many stroke trials fail to meet recruitment goals or need additional time to accrue sufficient subjects to support hypothesis testing. Many investigators also report difficulties recruiting diverse samples. One cause may be a lack of understanding of the complexity of the process and insufficient resources devoted to recruitment efforts. We s quantified and analyzed the number of interactions needed to present study materials and obtain a final response to an invitation to participate in a stroke intervention trial seeking a diverse sample. Methods: Patients with acute ischemic stroke or TIA admitted to five hospitals in the District of Columbia were screened for enrollment in PROTECT-DC (Prevention of Recurrent Throboembolic Events District of Columbia). All participants were approached during the acute phase of stroke treatment. No recruitment occurred in the ED. Recruitment staff were trained for cultural competency, culturally tailored recruitment materials and scripts were provided. Detailed logs of each encounter were made. Data included number of face-to-face contacts and telephone conversations with potential participants and family members. Results: from June 2009 to June 2011, 1915 patients were admitted with stroke, 619 (32%) met inclusion criteria, mean age 65, 52 % female and 66 % African American. Of, these 286 (46%) patients were discharged before being approached. Of the total eligible 333 (54%) were approached ; 130 (39%) consented, 109 (33%) refused the remaining 94 (28 %) made no decision.. The mean number of contacts before obtaining a decision was 2.81 ± 1.15 (range 1-6). There were no significant differences in consent rates by gender (p=0.44) or race (p=0.64), however blacks required significantly more contacts (p<0.04) than whites before consenting or refusing participation. Review of recruitment log data suggests that substantial time and effort is devoted to individuals who do not wish to volunteer, but who are unwilling to decline participation. Conclusion: Approximately recruitment visits were required to successfully recruit subjects for this non ED hospital based stroke prevention trial. On average recruiters spent 5 hours in direct recruitment activities per consented subject. Substantial effort is associated with “soft refusals” in patients who do not wish to volunteer. Successful recruitment requires adequate resources and appropriate staff training and support. It is important to recognize these resource needs when planning a stroke intervention trial.

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)0.012
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.737

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.149
GPT teacher head0.412
Teacher spread0.263 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2012
Admission routes1
Has abstractyes

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