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Record W4413118417 · doi:10.35680/2372-0247.2025

Taking Time and Making Space for Patient and Caregiver Partners

2025· article· en· W4413118417 on OpenAlexaff
Rebekah Hamilton, Lucy Hives

Bibliographic record

VenuePatient Experience Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsNipissing UniversityHospital for Sick Children
Fundersnot available
KeywordsPatient experienceSpace (punctuation)PsychologyPatient satisfactionMedicineNursingHealth careComputer science

Abstract

fetched live from OpenAlex

Patient and caregiver engagement is a paramount element to ensure the voice of lived experience is integrated and prioritized in research. However, what it looks like to actually participate in authentic patient and caregiver engagement can be challenging without understanding the experience of our patient and caregiver partners. I had the honour of interviewing a patient and caregiver partner who bestowed rich guidance about what it means to deliver excellent patient and caregiver engagement in research. Themes of the interview included taking time to collaborate, being mindful and giving gratitude, actively listening to partner voices, leading alongside patient and caregiver partners, and making space at the table for all perspectives. Takeaway messages include recognizing the patient and caregiver partners’ value as a whole person, and building genuine relationships. For researchers interested in engaging with patient and caregiver partners, the messages from this interview provide advice to guide future work to encourage sincere collaboration and share the ways in which research can be a meaningful experience for all members of the team.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.359
Teacher spread0.336 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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