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Record W1966353171 · doi:10.12927/hcq..17155

Involving Stakeholders in Healthcare Decisions - The Experience of the National Institute for Health and Clinical Excellence (NICE) in England and Wales

2005· article· en· W1966353171 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

VenueHealthcare Quarterly · 2005
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsInstitute for Work & Health
Fundersnot available
KeywordsNiceExcellenceAppealStakeholderPublic relationsBest practiceHealth careWork (physics)BusinessMedicineNursingPolitical scienceManagementEconomics

Abstract

fetched live from OpenAlex

Appeal to "stakeholders" and involving them in decisions and the processes through which decisions are made are becoming touch stones of "best practice," both clinical and managerial, in health care. Few organizations have sought to integrate stakeholders, especially patients and their caregivers, more completely than the National Institute for Health and Clinical Excellence (NICE) in England and Wales. This article outlines the circumstances in which NICE was created (1999) and the means through which it has created truly effective involvement of its many stakeholder groups. Key messages are that client involvement in decision-making is possible and can work well, but it demands commitment from the entire organization, specific managerial arrangements and, depending on the circumstances, it can be costly. Trust is an important ingredient of success.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.327
GPT teacher head0.511
Teacher spread0.184 · 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