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Record W2887078884 · doi:10.1136/bmjopen-2018-022154

‘Adding another spinning plate to an already busy life <i>’.</i> Benefits and risks in patient partner–researcher relationships: a qualitative study of patient partners’ experiences in a Canadian health research setting

2018· article· en· W2887078884 on OpenAlexafffundabout
Jenny Leese, Graham Macdonald, Sheila Kerr, Lianne Gulka, Alison M. Hoens, Wendy Lum, Bao Chau Tran, Anne Townsend, Linda Li

Bibliographic record

VenueBMJ Open · 2018
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsResearch CanadaUniversity of British Columbia
FundersCanadian Institutes of Health ResearchVancouver Foundation
KeywordsMedicineQualitative researchPublic healthHealth services researchFamily medicineGerontologyNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: To better understand, based on patient partners' experiences, benefits and risks in patient partner-researcher relationships in a health research setting. DESIGN: Qualitative interviews with thematic analysis informed by a relational ethics lens. SETTING: A multidisciplinary health research centre in Vancouver, Canada. This study was codeveloped by patient partners and researchers at the centre. PARTICIPANTS: 22 people living with arthritis, with experience as members of a patient advisory board at the research centre from 1 month to 10 years. RESULTS: We identified three main themes: (1) Being Heard: Participants had experienced uncomfortable emotions (eg, feelings of insecurity) in their relationships with researchers. The discomfort, however, was minimised by the demonstration of mutual respect in their interactions. Specifically, participants valued environments without a hierarchy between patient partners and researchers, where contributions of each party were considered equally important, and where patients' voices were heard; (2) Cobuilding social relations: Participants valued building social relations with researchers beyond their expected interactions as partners in research and (3) Adding another spinning plate to an already busy life: Participants valued relationships with researchers who had cocreated environments that minimised the risks of physical and emotional impacts (eg, fatigue, stress, guilt) on them while juggling multiple obligations, priorities and their health. CONCLUSIONS: Findings provide valuable insights to guide relationship building between patient partners and researchers. Informed by a relational ethics lens, these findings are a critical step in supporting an ethically sound practice of patient engagement in research that prioritises patients' perspectives.

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)0.026
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.974
Threshold uncertainty score0.431

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0210.025
Scholarly communication0.0090.006
Open science0.0030.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.857
GPT teacher head0.676
Teacher spread0.181 · 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
DomainMethods
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

Citations66
Published2018
Admission routes3
Has abstractyes

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