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Record W4406614258 · doi:10.1111/hex.70152

Best Practices Guidelines for the Engagement of People With Lived Experience and Family Members in Mental Health and Substance Use Health Research: A Modified Delphi Consensus Study

2025· article· en· W4406614258 on OpenAlexafffundabout
Lisa D. Hawke, Wuraola Dada‐Phillips, Hajar Seiyad, Josh Orson, Susan E. Conway, Adam Jordan, Natasha Y. Sheikhan, Melissa Hiebert, Sean A. Kidd, Kerry Kuluski

Bibliographic record

VenueHealth Expectations · 2025
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsOntario Centre of Excellence for Child and Youth Mental HealthTrillium Health CentreUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsCLARITYMental healthDelphi methodLikert scalePsychologyMedical educationApplied psychologyRating scaleQualitative researchSocial psychologyMedicinePsychiatrySociologyComputer science

Abstract

fetched live from OpenAlex

INTRODUCTION: People with lived experience of mental health and/or substance use conditions and their families (PWLE) are increasingly engaged in research, yet rigorous guidelines for engagement are lacking. This study aims to co-design best practice guidelines to support the authentic, meaningful engagement of PWLE in mental health and/or substance use health research. METHODS: A multi-panel modified Delphi study was conducted with 61 expert panelists (35 PWLE and family members, 26 researchers/research support staff from across Canada). Participants rated 56 recommendations for importance and clarity. Consensus was defined as ≥ 70% of participants rating items at 6 or 7 on a 7-point Likert scale ('very important' or 'essential'). Qualitative feedback was analysed using content analysis to identify new items and reviewed for improvements in item clarity. After each round, items not meeting the established threshold of importance were removed. Items with low clarity scores were reworded. A PWLE advisory panel was actively involved throughout the study's design, implementation, interpretation, and reporting, ensuring that the perspectives of people with lived experience were integrated throughout the research process. RESULTS: Three Delphi Rounds were conducted. In Round 1, importance ratings ranged from 51.7% to 96.7% of participants ranking the items above the established threshold (average 80.1%), with clarity ratings ranging from 39.3% to 86.9% (average 70.7%) and an average importance coefficient of variation (CV) of 0.16. Four items were deleted, two new items were added and fifty-five items were revised. In Round 2, 60 (98.4%) participants responded. Importance ratings ranged from 57.6% to 96.7% (average 80.2%; average CV = 0.20). Clarity ratings ranged from 50.9% to 93.2% (average 77.9%). Five items were deleted and eleven revised. In Round 3, 60 (98.4%) participants provided importance ratings ranging from 66.7% to 98.3% (average 80.8%; average CV = 0.20), and clarity ratings ranging from 63.3% to 94.9% (average 81.1%). Three items were deleted and nine were revised. Forty-four final best practices are proposed. CONCLUSION: These co-developed best practice guidelines offer recommendations for meaningful PWLE engagement in mental health and/or substance use health research. By following these guidelines, research teams can ensure that PWLE contributions are genuinely valued and effectively integrated, ultimately enhancing the quality and impact of the research and fostering authentic collaboration. PATIENT AND PUBLIC INVOLVEMENT: People with lived experience were engaged throughout the project as key team members, from a patient-oriented research perspective. They are also co-authors on this manuscript.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.084
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.846
GPT teacher head0.624
Teacher spread0.222 · 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

Citations11
Published2025
Admission routes3
Has abstractyes

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