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Record W2744759734 · doi:10.1186/s12913-017-2463-1

Moving towards a more inclusive patient and public involvement in health research paradigm: the incorporation of a trauma-informed intersectional analysis

2017· article· en· W2744759734 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.

Bibliographic record

VenueBMC Health Services Research · 2017
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of WinnipegCanadian Mennonite UniversityUniversity of ManitobaHealth Sciences CentreGeorge & Fay Yee Centre for Healthcare Innovation
Fundersnot available
KeywordsRacismOppressionHealth equitySociologyHistorical traumaIntersectionalityGender studiesCommunity engagementPublic healthExperiential knowledgeMedicinePublic relationsPoliticsNursingPolitical scienceLawEpistemology

Abstract

fetched live from OpenAlex

BACKGROUND: The concept of patient engagement in health research has received growing international recognition over recent years. Yet despite some critical advancements, we argue that the concept remains problematic as it negates the very real complexities and context of people's lives. Though patient engagement conceptually begins to disrupt the identity of "researcher," and complicate our assumptions and understandings around expertise and knowledge, it continues to essentialize the identity of "patient" as a homogenous group, denying the reality that individuals' economic, political, cultural, subjective and experiential lives intersect in intricate and multifarious ways. DISCUSSION: Patient engagement approaches that do not consider the simultaneous interactions between different social categories (e.g. race, ethnicity, Indigeneity, gender, class, sexuality, geography, age, ability, immigration status, religion) that make up social identity, as well as the impact of systems and processes of oppression and domination (e.g. racism, colonialism, classism, sexism, ableism, homophobia) exclude the involvement of individuals who often carry the greatest burden of illness - the very voices traditionally less heard in health research. We contend that in order to be a more inclusive and meaningful approach that does not simply reiterate existing health inequities, it is important to reconceptualize patient engagement through a health equity and social justice lens by incorporating a trauma-informed intersectional analysis. This article provides key concepts to the incorporation of a trauma-informed intersectional analysis and important questions to consider when developing a patient engagement strategy in health research training, practice and evaluation. In redefining the identity of both "patient" and "researcher," spaces and opportunities to resist and renegotiate power within the intersubjective relations can be recognized and addressed, in turn helping to build trust, transparency and resiliency - integral to the advancement of the science of patient engagement in health research.

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)0.024
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0080.001
Scholarly communication0.0000.001
Open science0.0010.002
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 head0.397
GPT teacher head0.551
Teacher spread0.155 · 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