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Record W121517527 · doi:10.1155/2002/971935

Interpreting the Meaning of Pain Severity Scores

2002· review· en· W121517527 on OpenAlexafffund
Marilyn J. Hodgins

Bibliographic record

VenuePain Research and Management · 2002
Typereview
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsUniversity of New Brunswick
FundersUniversity of Alberta
KeywordsMeaning (existential)Context (archaeology)PremiseHealth carePain managementPhysical therapyMedicinePsychologyPsychotherapistEpistemology

Abstract

fetched live from OpenAlex

Poor pain management practices are generally discussed in terms of barriers associated with the patient, clinician and/or health care organization. The impact of deficiencies in the tools that are used to measure pain are seldom addressed. Three factors are discussed that complicate the measurement of pain: the nature of pain, the lack of meaning associated with scores generated by pain scales, and treatment goals that lack specificity and are not linked to patients' pain scores. The major premise presented in the present article is that the utility of pain measurement is limited because health care professionals do not have a common understanding of the meaning of scores generated by pain measurement tools, especially within the acute care setting. To address this issue, approaches to establishing instrument validity need to be broadened to include the examination of the meaning and consequences of these measurements within a specific context. Substantive improvements in pain management are unlikely to occur until criteria are identified to link explicitly the scores generated by pain measurement tools to treatment goals.

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)0.021
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.931
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.121
GPT teacher head0.402
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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations44
Published2002
Admission routes2
Has abstractyes

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