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Revolution or evolution: the challenges of conceptualizing patient and public involvement in a consumerist world

2009· article· en· W2052745178 on OpenAlexaboutno aff
Jonathan Tritter

Bibliographic record

VenueHealth Expectations · 2009
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPublic relationsMedicinePolitical scienceData scienceSociologyComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Changing the relationship between citizens and the state is at the heart of current policy reforms. Across England and the developed world, from Oslo to Ontario, Newcastle to Newquay, giving the public a more direct say in shaping the organization and delivery of healthcare services is central to the current health reform agenda. Realigning public services around those they serve, based on evidence from service user's experiences, and designed with and by the people rather than simply on their behalf, is challenging the dominance of managerialism, marketization and bureaucratic expertise. Despite this attention there is limited conceptual and theoretical work to underpin policy and practice. OBJECTIVE: This article proposes a conceptual framework for patient and public involvement (PPI) and goes on to explore the different justifications for involvement and the implications of a rights-based rather than a regulatory approach. These issues are highlighted through exploring the particular evolution of English health policy in relation to PPI on the one hand and patient choice on the other before turning to similar patterns apparent in the United States and more broadly. CONCLUSIONS: A framework for conceptualizing PPI is presented that differentiates between the different types and aims of involvement and their potential impact. Approaches to involvement are different in those countries that adopt a rights-based rather than a regulatory approach. I conclude with a discussion of the tension and interaction apparent in the globalization of both involvement and patient choice in both policy and practice.

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)0.027
metaresearch head score (Gemma)0.016
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0080.141
Scholarly communication0.0210.028
Open science0.0040.012
Research integrity0.0110.013
Insufficient payload (model declined to judge)0.0040.000

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 head0.284
GPT teacher head0.433
Teacher spread0.149 · 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

Citations306
Published2009
Admission routes1
Has abstractyes

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