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Record W2114555819 · doi:10.3109/09638280903033248

Questions that individuals with spinal cord injury have regarding their chronic pain: A qualitative study

2009· article· en· W2114555819 on OpenAlexaff
Carrie Norman, Jacqueline L. Bender, Jaime Macdonald, Marcia Dunn, Scott Dunne, Bo Siu, Sander L. Hitzig, Alejandro R. Jadad, Judith Hunter

Bibliographic record

VenueDisability and Rehabilitation · 2009
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsToronto General HospitalUniversity Health NetworkToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsSpinal cord injuryQualitative researchChronic painMedicinePhysical medicine and rehabilitationPhysical therapyPsychologyRehabilitationClinical psychologySpinal cordPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: To explore the questions that community-dwelling individuals with a traumatic spinal cord injury (SCI) have regarding their chronic pain and to identify their preferred methods of acquiring this information. METHOD: Semi-structured interviews were conducted with 12 individuals experiencing SCI-related chronic pain. Qualitative content analysis was used to identify participants' questions about their pain and to organise them according to emergent themes. RESULTS: Six themes pertaining to chronic pain were identified. These included: (1) cause, (2) communication, (3) expectation, (4) getting information, (5) management and (6) other's experience with chronic pain. Participants described using a variety of sources to obtain information about chronic pain including health care providers, other SCI-consumers and the Internet. Participants preferred to have chronic pain information available to them on an as needed basis. CONCLUSIONS: Individuals with SCI have numerous questions about their chronic pain and use a variety of information sources to answer them. Many are dissatisfied with the level of knowledge that family physicians have about SCI-related chronic pain. This study provides valuable information from the consumer's perspective, which can be used to develop interventions to help health care professionals and consumers manage SCI-related chronic pain.

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)0.004
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 score0.156
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.057
GPT teacher head0.430
Teacher spread0.373 · 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 designObservational
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

Citations40
Published2009
Admission routes1
Has abstractyes

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