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Record W2152946950 · doi:10.2174/1874325001307010506

Use of Outcome Measures in Managing Neck Pain: An International Multidisciplinary Survey

2013· article· en· W2152946950 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Open Orthopaedics Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsWestern UniversityMcMaster UniversitySt Joseph's Health Centre
FundersCanadian Institutes of Health Research
KeywordsMedicineAffect (linguistics)Physical therapyNeck painVisual analogue scaleQuality of life (healthcare)DistressReimbursementPhysical medicine and rehabilitationHealth careAlternative medicineClinical psychologyNursing

Abstract

fetched live from OpenAlex

PURPOSE: To determine the outcome measures practice patterns in the neck pain management of various health disciplines. METHODS: A survey of 381 clinicians treating patients with neck pain was conducted. RESULTS: Respondents were more commonly male (54%) and either chiropractors (44%) or physiotherapists (32%). The survey was international (24 countries with Canada having the largest response (44%)). The most common assessment was a single-item pain assessment (numeric or visual analog) used by 75% of respondents. Respondents sometimes or routinely used the Neck Disability Index (49%), the Patient Specific Functional Scale (28%), and the Disabilities of the Arm, Shoulder and Hand (32%). Work status was recorded in terms of time lost by more than 50% of respondents, but standardized measures of work limitations or functional capacity testing were rarely used. The majority of respondents never used fear of movement, psychological distress, quality of life, participation measures, or global ratings of change (< 10% routinely use). Use of impairment measurers was prevalent, but the type selected was variable. Quantitative sensory testing was used sometimes or routinely by 53% of respondents, whereas 26% never used it. Ratings of segmental joint mobility were commonly used to assess motion (44% routinely use), whereas 66% of respondents never used inclinometry. Neck muscle strength, postural alignment and upper extremity coordination were assessed sometimes or routinely by a majority of respondents (>56%). With the exception of numeric pain ratings and verbal reporting of work status, all outcomes measures were less frequently used by physicians. Years of practice did not affect practice patterns, but reimbursement did affect selection of some outcome measures. CONCLUSIONS: Few outcome measures are routinely used to assess patients with neck pain other than a numeric pain rating scale. A comparison of practice patterns to current evidence suggessts overutilization of some measures that have questionable reliability and underutilization of some with better supporting evidence. This practice analysis suggests that there is substantial need to implement more consistent outcome measurement in practice. International consensus and better clinical measurement evidence are needed to support this.

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)0.007
metaresearch head score (Gemma)0.002
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 score0.042
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.108
GPT teacher head0.366
Teacher spread0.258 · 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