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Record W4413781228 · doi:10.1139/facets-2025-0038

Patient, researcher, and organizational representatives’ experiences conducting or supporting patient-initiated research

2025· article· en· W4413781228 on OpenAlexafffundvenueabout
Lawrence Mróz, Sunny Loo, Laurel Radley, Sarah Mullins, Rhyann Fairbrother, Linda Li

Bibliographic record

VenueFACETS · 2025
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsMichael Smith Health Research BC
FundersStrategy for Patient-Oriented Research
KeywordsPsychologyKnowledge managementNursingPublic relationsMedicinePolitical scienceComputer science

Abstract

fetched live from OpenAlex

The British Columbia Support for People and Patient-Oriented Research and Trials (BC SUPPORT) Unit is a provincial initiative funded by the Canadian Institutes of Health Research within their Strategy for Patient-Oriented Research that aims to improve the health research landscape in Canada. The BC SUPPORT Unit has had a mandate to partner with patients and community members in its internal operations and support patient-oriented research in BC. As part of this, the Unit explored how it might better support patient-initiated research, a subset of patient-oriented research which empowers patients to assume leadership roles throughout the research process. The Unit launched a quality improvement project to explore the experiences of people who have conducted or supported patient-initiated research to inform how it could better support patient-initiated research arising within the Unit. In this report we provide an overview of a thematic analysis of experiences of various interest-holders involved in patient-initiated research. We identified factors specific to supporting patient-initiated research that the Unit should consider when helping connect patient partners with researchers to ensure successful team building. We conclude that patients who initiate research might require support in developing their research questions, conducting literature reviews, and connecting with research teams. This information can inform the Unit’s approach to supporting patient-initiated research.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.688
GPT teacher head0.612
Teacher spread0.075 · 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 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

Citations1
Published2025
Admission routes4
Has abstractyes

Explore more

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