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Record W4410407869 · doi:10.1186/s40900-025-00730-2

Health researchers' experience collaborating with patient partners: a qualitative study

2025· article· en· W4410407869 on OpenAlexaff
Magaly Brodeur, Catherine Wilhelmy, Denis Boutin, Amélie Deschamps, Olivia Fasan, Marie-Mychèle Pratte, Anne-Marie Auger, Marie-Ève Poitras, Marie‐Claude Battista, Christine Loignon

Bibliographic record

VenueResearch Involvement and Engagement · 2025
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsQualitative researchPatient experiencePsychologyMedicineMedical educationNursingHealth careSociologyPolitical science

Abstract

fetched live from OpenAlex

Patient-oriented research (POR) and patient engagement (PE) have been increasingly adopted over recent decades, as they generate many positive academic and patient outcomes within various health research fields. While there has been research on the barriers and challenges experienced by patient partners (PPs), we know little about the experiences of the health researchers working with them. It is therefore important to gain a better understanding of the experiences of health researchers who work with PPs to improve their collaboration. This study, which was initiated by PPs themselves, aims to enhance the understanding of health researchers’ experiences regarding the challenges of working with PPs. This qualitative descriptive study involved 20 semi-structured interviews with researchers from various health science fields, such as primary care and general medicine, public health and health policy, specialized medical fields (i.e. cancerology, endocrinology, psychiatry, gerontology), biomedical engineering and medical technologies, and neuroscience. Participants, including researchers and research coordinators, were recruited through purposive sampling via email, newsletters, and social media, with their participation being voluntary and uncompensated. Thematic analysis was conducted over multiple steps, and the interview transcripts were coded to identify the main themes and subthemes relevant to the study’s aims. The analysis resulted in six main themes: 1) PP individual and health-related challenges; 2) institutional barriers to PP involvement; 3) challenges in genuine PP involvement; 4) collaboration challenges in research projects; 5) time constraints in research projects; and 6) PP recruitment and representation issues. The findings of this study provide an in-depth view of the challenges experienced by health researchers who have involved PPs in their projects. However, it is important to highlight that this study goes beyond simply identifying challenges. These challenges are often interconnected and complex and influence one another in such a way that controlling for one element may cause further constraints in another. This article provides recommendations regarding current practices, ethics-related questioning, and time-related challenges, which will be useful for the continued meaningful involvement of PPs in research teams and for navigating the challenges. Patient-oriented research (POR) and patient engagement (PE) generate many positive academic and patient outcomes within various fields of health research and have gained much recognition in recent decades. Researchers who conduct POR and work with patient partners (PPs) benefit from valuable insights into the subject at hand through their rich encounters with PPs. Meanwhile, there remain some challenges and grey areas within POR—specifically, PE—that need to be explored. Thus, this article, which was initiated by PPs themselves, aimed to explore the barriers and challenges experienced by health researchers collaborating with PPs. Thematic analysis was conducted using 20 semi-structured interviews. The analysis revealed six main themes and their subcategories: PP individual and health-related challenges, institutional barriers to PP involvement, challenges in genuine PP involvement, collaboration challenges in research projects, time constraints in research projects, and PP recruitment and representation issues. These challenges are often interconnected, complex, and influence one another in such a way that controlling for one element may cause further constraints in another. Suggestions regarding current practices, ethics-related matters, and time-related challenges are discussed with the hope of encouraging the inclusion of PPs in research teams and guiding the navigation of the challenges.

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)0.019
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
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 head0.756
GPT teacher head0.661
Teacher spread0.095 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

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