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Record W4386569517 · doi:10.1186/s40900-023-00488-5

Recognizing patient partner contributions to health research: a systematic review of reported practices

2023· review· en· W4386569517 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueResearch Involvement and Engagement · 2023
Typereview
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsOttawa Public HealthOttawa HospitalUniversity of Ottawa
FundersUniversity of OttawaOntario SPOR SUPPORT Unit
KeywordsFinancial compensationCompensation (psychology)Systematic reviewMedicineQualitative propertyQualitative researchMedical educationPsychologyFinancePublic relationsBusinessMEDLINESocial psychologyPolitical scienceSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Patient engagement in research refers to collaboration between researchers and patients (i.e., individuals with lived experience including informal caregivers) in developing or conducting research. Offering non-financial (e.g., co-authorship, gift) or financial (e.g., honoraria, salary) compensation to patient partners can demonstrate appreciation for patient partner time and effort. However, little is known about how patient partners are currently compensated for their engagement in research. We sought to assess the prevalence of reporting patient partner compensation, specific compensation practices (non-financial and financial) reported, and identify benefits, challenges, barriers and enablers to offering financial compensation. METHODS: We conducted a systematic review of studies citing the Guidance for Reporting the Involvement of Patients and the Public (GRIPP I and II) reporting checklists (October 2021) within Web of Science and Scopus. Studies that engaged patients as research partners were eligible. Two independent reviewers screened full texts and extracted data from included studies using a standardized data abstraction form. Data pertaining to compensation methods (financial and non-financial) and reported barriers and enablers to financially compensating patient partners were extracted. No formal quality assessment was conducted since the aim of the review is to describe the scope of patient partner compensation. Quantitative data were presented descriptively, and qualitative data were thematically analysed. RESULTS: The search identified 843 studies of which 316 studies were eligible. Of the 316 studies, 91% (n = 288) reported offering a type of compensation to patient partners. The most common method of non-financial compensation reported was informal acknowledgement on research outputs (65%, n = 206) and co-authorship (49%, n = 156). Seventy-nine studies (25%) reported offering financial compensation (i.e., honoraria, salary), 32 (10%) reported offering no financial compensation, and 205 (65%) studies did not report on financial compensation. Two key barriers were lack of funding to support compensation and absence of institutional policy or guidance. Two frequently reported enablers were considering financial compensation when developing the project budget and adequate project funding. CONCLUSIONS: In a cohort of published studies reporting patient engagement in research, most offered non-financial methods of compensation to patient partners. Researchers may need guidance and support to overcome barriers to offering financial compensation.

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.

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)0.130
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.403
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1300.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0020.004
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0000.001

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 head0.933
GPT teacher head0.700
Teacher spread0.233 · 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