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Organizing Health Services for Patients with Chronic Pain: When There Is a Will There Is a Way: Table 1

2008· review· en· W2149258984 on OpenAlexaffabout
Patricia L. Dobkin, Lucy J. Boothroyd

Bibliographic record

VenuePain Medicine · 2008
Typereview
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsHealth careMedicineNursingAgency (philosophy)Health policyHRHISPublic relationsPublic healthPolitical scienceSociology

Abstract

fetched live from OpenAlex

SETTING: Due to its magnitude as a health problem, its associated burden, and the viability of modes of intervention, chronic pain (CP) should be considered a priority within health care systems. The lives of many patients with CP are devastated by this problem and health care professionals have a responsibility to assist them in reducing their suffering. Countries, regions, and systems differ considerably with regard to how they organize, administer, and finance services for CP patients. OBJECTIVE: In this review, we highlight initiatives in three jurisdictions--France, Australia, and the Veterans' Health Administration in the United States--which demonstrate that when there is a will there is a way to change health care services for patients with CP. This work is a synopsis of a health technology assessment report we completed on behalf of the Quebec Health Services and Technology Assessment Agency (http://www.aetmis.gouv.qc.ca) at the request of the Ministry of Health and Social Services in Quebec, Canada, to inform policymakers at various levels of the health care system. DESIGN: A literature search of published and unpublished "gray" literature was used to identify organizational themes according to structure, process, and outcome elements of health care services. For each theme, literature was reviewed in a qualitative manner; in addition, "real world" information was sought from example jurisdictions that have prioritized management of CP. Our conclusions point to key issues to consider when organizing health services for CP patients.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.807
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.298
Teacher spread0.281 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations26
Published2008
Admission routes2
Has abstractyes

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