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Record W4390915462 · doi:10.1111/hex.13971

Patient partner perspectives on compensation: Insights from the Canadian Patient Partner Survey

2024· article· en· W4390915462 on OpenAlexafffundabout
Roma Dhamanaskar, Laura Tripp, Meredith Vanstone, Carolyn Canfield, Mary Anne Levasseur, Julia Abelson

Bibliographic record

VenueHealth Expectations · 2024
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversité du Québec à RimouskiMcMaster UniversityHamilton Health SciencesUniversity of British ColumbiaImpact
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health ResearchMcMaster University
KeywordsSalaryCompensation (psychology)AmbivalencePsychologyFamily medicineSocial psychologyMedicineMedical educationNursingPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: There is a growing role for patients, family members and caregivers as consultants, collaborators and partners in health system settings in Canada. However, compensation for this role is not systematized. When offered, it varies in both type (e.g., one-time honorarium, salary) and amount. Further, broad-based views of patient partners on compensation are still unknown. We aimed to describe the types and frequency of compensation patient partners have been offered and their attitudes towards compensation. METHODS: This study uses data from the Canadian Patient Partner Study (CPPS) survey. The survey gathered the experiences and perspectives of those who self-identified as patient partners working across the Canadian health system. Three questions were about compensation, asking what types of compensation participants had been offered, if they had ever refused compensation, and whether they felt adequately compensated. The latter two questions included open-text comments in addition to menu-based and scaled response options. Basic frequencies were performed for all questions and open-text comments were analyzed through inductive qualitative content analysis. RESULTS: A total of 603 individuals participated in the CPPS survey. Most respondents were never or rarely offered salary (81%), honorarium (64%), gift cards (80%) or material gifts (93%) while half were offered conference registration and expenses at least sometimes. A total of 129 (26%) of 499 respondents reported refusing compensation. Of 511 respondents, half felt adequately compensated always or often, and half only sometimes, rarely or never. Open-text comments revealed positive, ambivalent and negative attitudes towards compensation. Attitudes were framed by perceptions about their role, sentiments of giving back to the health system, feelings of acknowledgement, practical considerations, values of fairness and equity and accountability relationships. CONCLUSIONS: Our findings confirm that compensation is not standardized in Canada. Half of survey respondents routinely feel inadequately compensated. Patient partners have diverse views of what constitutes adequate compensation inclusive of personal considerations such as a preference for volunteering, and broader concerns such as promoting equity in patient partnership. Organizations should attempt to ensure that compensation practices are clear, transparent and attentive to patient partners' unique contexts. PATIENT CONTRIBUTION: Two patient partners are members of the CPPS research team and have been fully engaged in all study phases from project conception to knowledge translation. They are co-authors of this manuscript. The survey was co-designed and pilot tested with patient partners and survey participants were patient partners.

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)0.011
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.979
Threshold uncertainty score0.395

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0070.002
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.002
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 head0.244
GPT teacher head0.440
Teacher spread0.195 · 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.

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

Citations9
Published2024
Admission routes3
Has abstractyes

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