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Record W4415727084 · doi:10.1186/s12875-025-02998-5

“It’s hard to trust an individual, it’s easier to trust an image”—patients with low back pain want imaging as a means of coping with uncertainty

2025· article· en· W4415727084 on OpenAlexafffundabout
Lynn Haslam‐Larmer, Kathleen E. Norman, Andrea M. Patey, Isabella M. Thomas, Michael Green, Jeremy Grimshaw, Jill A. Hayden, Jan Hartvigsen, Noah Ivers, Hazel Jenkins, Simon French

Bibliographic record

VenueBMC Primary Care · 2025
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of TorontoUniversity of SudburyDalhousie UniversityIzaak Walton Killam Health CentreOttawa HospitalQueen's University
FundersCanadian Institutes of Health Research
KeywordsCertaintyCoping (psychology)Low back painValue (mathematics)Patient care

Abstract

fetched live from OpenAlex

BACKGROUND: Evidence-based guidelines for low back pain recommend against routine imaging. Despite these guidelines, many patients still seek imaging. We sought to understand why patients with low back pain may want imaging, using a qualitative approach grounded in the Common-Sense Self-Regulation Model (CSSRM), a model that frames how patients' beliefs and actions are shaped by their past experiences and understanding of an illness. METHODS: We interviewed 28 patients from a larger study in Ontario, Canada. Participants were recruited by family physicians (n = 8), chiropractors (n = 10), and physiotherapists (n = 10), and most (82.1%) had previous episodes of low back pain. Participants completed intake questionnaires and semi-structured interviews that explored their experiences with low back pain care and perspectives on imaging. We analyzed the interview transcripts using the CSSRM. RESULTS: The CSSRM domains were represented in patients' narratives: Stimuli and Illness Representations, Coping Procedures, and Appraisal of Outcomes. Within Stimuli and Representations, patients described perceptions of the causes of their pain, and they associated obtaining an image with gaining a sense of control over their diagnosis. Within Coping Procedures, Cognitive Reappraisal emerged as the construct with the most discourse, reflecting how patients interpreted and reassessed their low back pain over time. Many patients expressed the belief that imaging would resolve uncertainty, validate their experience, and confirm that nothing serious had been overlooked. Patients emphasized that imaging would "show what's going on," or help them "feel taken seriously". Within Appraisal of Outcomes, patients described the self-limiting nature of their LBP; the limited discourse about emotional outcomes was often linked to frustrations and fears. The beliefs expressed in interviews were not consistent with participants' questionnaire answers from months previously, suggesting that beliefs may shift over time. CONCLUSIONS: Many patients believed imaging for low back pain was important to gain certainty in diagnosis and reassurance that treatment was appropriate. However, their beliefs about the value of imaging may not be stable over time, as they are influenced by ongoing experiences and reappraisals. To reduce unwarranted imaging, clinicians should consider providing consistent and contextualized messaging that meets the patient's ongoing illness experience.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0030.010
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0020.003
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 head0.009
GPT teacher head0.268
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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Citations2
Published2025
Admission routes3
Has abstractyes

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