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Record W2089118369 · doi:10.1177/1534735404273727

Toward a Patient-Centered Approach: Incorporating Principles of Participatory Action Research Into Clinical Studies

2005· article· en· W2089118369 on OpenAlexafffund
Margaret A. White, Marja J. Verhoef

Bibliographic record

VenueIntegrative Cancer Therapies · 2005
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of Calgary
FundersHealth Canada
KeywordsParticipatory action researchCitizen journalismFocus groupQualitative researchAction researchHealth careAction (physics)Process (computing)PsychologyMedicineMedical educationNursingSociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

UNLABELLED: Despite the shift to patient-centered care in recent years, many clinical studies continue to reinforce the traditional researcher/subject relationship. In contrast, action research engages study participants in a collaborative relationship with researchers. OBJECTIVES: To review the benefits of adding a participatory component to an existing study with respect to (1) engaging participants in the research process to clarify and validate qualitative findings, (2) engaging participants in the change process to develop potential solutions for improving integrative cancer services, and (3) giving voice to the concerns of patients using complementary and alternative medicine. METHOD: Focus groups were used to clarify concepts arising from patient interviews and to provide a forum for participants to develop recommendations and facilitate dissemination. CONCLUSION: Our approach empowered patients by involving them in the research and in developing solutions for how health care providers, policy makers, and researchers can enhance an integrative approach to cancer care.

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)0.378
metaresearch head score (Gemma)0.264
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.622
Threshold uncertainty score0.767

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3780.264
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0060.004
Science and technology studies0.0090.055
Scholarly communication0.0230.014
Open science0.0070.019
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0040.001

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 head0.891
GPT teacher head0.645
Teacher spread0.246 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainMethods
GenreMethods

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

Citations45
Published2005
Admission routes2
Has abstractyes

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