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Record W2979464758 · doi:10.1177/1747016119869847

Improving dissemination of study results: perspectives of individuals with cystic fibrosis

2019· article· en· W2979464758 on OpenAlexafffund
Emily Christofides, Karla Stroud, D. Elizabeth Tullis, Kieran C. O’Doherty

Bibliographic record

VenueResearch Ethics · 2019
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsSt. Michael's HospitalUniversity of Guelph
FundersCanadian Institutes of Health Research
KeywordsRecallPsychologyMedicineFocus groupQualitative researchMedical education

Abstract

fetched live from OpenAlex

The practice of communicating research findings to participants has been identified as important in the research ethics literature, but little research has examined empirically how this occurs and what research participants’ views are in this regard. We interviewed 21 adults with cystic fibrosis who had previously participated in research and 2 research coordinators at a cystic fibrosis clinic. We aimed to better understand research participants’ views on receiving research results, types of findings they are interested in, how they would like to receive this information, and the impact this might have on future participation. Participants reported that they do not generally recall receiving study findings, though many reported that they would like to receive them. While some participants were not interested in receiving results, all participants felt that these results should be provided when desired by participants and believed that receiving study findings would support future participation. Participants felt that an accessible format, such as a lay summary, would be most helpful. This study supports calls to make study findings available to participants, though the format in which they are provided requires consideration. Participants rarely recalled receiving findings despite the clinic in which this study was conducted returning them regularly. Therefore, questions pertaining to the provision of study findings must focus less on whether to share the findings and more on how to share them with participants most effectively. The logistics of providing study findings may be challenging in some cases, but participant support for the practice highlights its importance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.117
metaresearch head score (Gemma)0.225
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.883
Threshold uncertainty score0.617

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1170.225
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0210.020
Scholarly communication0.0150.011
Open science0.0030.017
Research integrity0.0090.014
Insufficient payload (model declined to judge)0.0030.001

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 head0.379
GPT teacher head0.615
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
DomainReporting
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
Published2019
Admission routes2
Has abstractyes

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