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Record W175710228

From Stakeholders to Shareholders: Engaging Consumers in Health Research

2011· article· en· W175710228 on OpenAlexvenueaboutno aff
Susan Cox, Kelley Ross, Anne Townsend, Denise Avard, Roberta L. Woodgate

Bibliographic record

VenueHealth law review · 2011
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsPublic relationsGeneral partnershipHealth careEmpowermentHealth policyBusinessMarketingSociologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Introduction The consumer role in health research is becoming increasingly prominent in many countries. Australia has a Medical Services Advisory Committee (MSAC) largely comprising physicians and health economists, but also nominated individuals to represent consumers' interests, (1) whilst in the USA the National Advisory Council for Healthcare Research and Quality (AHRQ) includes patient and consumer representatives. (2) Canada is no exception, and Health Canada aims to link input to policy development. (3) This paper describes consumer engagement in the health research process, the diverse forms such engagement may take and the benefits and challenges it poses for researchers and consumers as well as lay communities. In our view, consumer engagement in health research contributes to the ethical foundation of research practice and evidence-based medicine. It ensures that those who have the most important stake in health research, that is health consumers themselves, have a role in knowledge creation and translation and, moreover, that the research conducted is respectful of the invaluable contributions that research participants make. Consumer engagement in health research has its ethical basis in the notion, derived from procedural justice, that consumers should be afforded the opportunity to participate in the conduct of research, the results of which will ultimately affect their lives and/or bodies. (4) Consumer engagement helps overcome the inequitable conventional power relations between the dominant, active researcher and subordinate, passive subject, by having each work in partnership with the other and sharing the decision-making power. (5) Thus, consumer engagement is a form of empowerment, whereby professional non-user researchers [research] with rather than on research participants. (6) Empowerment finds its deepest expression in health research that incorporates the voices and experiences of marginalized, vulnerable, or disadvantaged populations (e.g., Aboriginal peoples, HIV-AIDS patients) into the research process. What is consumer engagement? Consumers can be defined as: Users and potential users of services, products and resources (including natural resources). In health this includes patients and potential patients; long-term users of services; carers and arents; organisations that represent consumers' interests; of the public who are the targets of health promotion programmes; and groups asking for research because they believe they have been exposed to potentially harmful circumstances, products or services. (7) Depending on the context, consumers may also be described as lay,non-expert, service user, survivor, community or members of the general public. The engagement of consumers in research needs to be conceptualized in terms of the relationship that exists between the researcher(s) and consumer(s). This relationship may be consumer-led within a consumer organization; an equal partnership based on shared decision-making and collaboration; or researcher-led where consumers are consulted over particular issues but not fully integrated into all aspects of the research. (8) Consumer engagement can occur at several stages of the research process, from setting the research agenda and shaping the research questions, to designing the research project, recruiting participants, collecting data and disseminating the results. Here we wish to clarify that we are not claiming that consumers should always be actively engaged as research collaborators or that consumers must play a role in all stages of the research in order to be effective. Rather we are acknowledging the broad spectrum of consumer engagement which exists, and the value of the consumer role, on numerous levels, as pivotal to evidence-based medicine and ethical research practice. Models of consumer engagement Increasingly, health organizations, agencies, and institutions are recognizing the importance of adopting models of consumer engagement to facilitate their research programmes. …

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)0.051
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0510.049
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0130.028
Scholarly communication0.0190.016
Open science0.0020.028
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0110.001

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 head0.928
GPT teacher head0.603
Teacher spread0.325 · 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 designTheoretical or conceptual
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

Citations5
Published2011
Admission routes2
Has abstractyes

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