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Record W2103507894 · doi:10.1513/pats.201208-061st

Integrating Values and Consumer Involvement in Guidelines with the Patient at the Center: Article 8 in Integrating and Coordinating Efforts in COPD Guideline Development. An Official ATS/ERS Workshop Report

2012· review· en· W2103507894 on OpenAlexaff
Marcia Kelson, Elie A. Akl, Hilda Bastian, Françoise Cluzeau, J. Randall Curtis, Gordon Guyatt, Víctor M. Montori, Sandy Oliver, Holger J. Schünemann

Bibliographic record

VenueProceedings of the American Thoracic Society · 2012
Typereview
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsInstitute of Nutrition, Metabolism and Diabetes
Fundersnot available
KeywordsMedicineCenter (category theory)MEDLINEMedical physics

Abstract

fetched live from OpenAlex

INTRODUCTION: Professional societies, like many other organizations around the world, have recognized the need to use rigorous processes to ensure that healthcare recommendations are informed by the best available research evidence. They are also realizing the need to involve consumers of healthcare (patients, caregivers, and the public) and integrate their values and preferences in clinical guideline development. This is the eighth of a series of 14 articles that were prepared to advise guideline developers in respiratory and other diseases. It focuses on where to find information about consumer values and preferences, at what points in the guideline development process to integrate their values and preferences, and why. METHODS: In this review, we addressed the following questions: (1) What do we mean by "consumers"? (2) Why integrate the values and preferences of consumers of healthcare (patients, caregivers, and the public) into clinical practice guidelines? (3) What are the sources of information on consumer values? (4) When and how should consumer values and preferences be integrated into chronic obstructive pulmonary disease guideline recommendations? We defined consumers as patients, caregivers, and members of the public, excluding groups that may also be identified as consumers of guidelines including health professionals, providers, and commissioners of services. We searched PubMed and other databases of methodological studies for existing systematic reviews and relevant methodological research. We did not conduct systematic reviews ourselves. Our conclusions are based on available evidence, supplemented by a rapid appraisal of a selection of qualitative studies, experience of what guideline developers are doing, and workshop discussions. RESULTS: A clear distinction needs to be made between the use of information on consumer values and preferences by guideline developers, and the direct involvement of consumers in guideline development processes. Sources of information on consumer values include the research literature and direct elicitation of values both from organizations representing consumer interests and from individuals. To complement the identification of consumer values, there are a range of methods for involving consumers at all stages of guideline development, from consultation to direct membership of guideline development groups. CONCLUSIONS: Evidence-based guidelines need to consider explicitly the values and preferences of all relevant stakeholders (including those of consumers) and to provide opportunities for patients, caregivers, and the public to engage in the processes that consider and integrate those values into the development of guideline recommendations.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.668
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.189
GPT teacher head0.463
Teacher spread0.274 · 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 designOther design
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

Citations44
Published2012
Admission routes1
Has abstractyes

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