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Record W4412066603 · doi:10.1002/msc.70159

Perceptions of Low Back Pain and the Role of Physiotherapy in Bangladesh: A Qualitative Study

2025· article· en· W4412066603 on OpenAlexaff
Mohammad Ali, Casey L. Peiris, Jon J. Ford, Ahmed Hossain, Andrew J. Hahne

Bibliographic record

VenueMusculoskeletal Care · 2025
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsCARE Canada
FundersLa Trobe University
KeywordsMedicinePsychological interventionLow back painPerceptionQualitative researchModalitiesPhysical therapyAlternative medicineNursingPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Low back pain (LBP) is a leading global cause of disability, with the most significant burden now observed in low- and middle-income countries (LMICs). Despite the growing availability of physiotherapy, cultural perceptions and systemic factors may hinder its utilisation in Bangladesh. This study explores how patients with chronic LBP in Bangladesh perceive their condition and the role of physiotherapy. METHODS: Using interpretative phenomenological analysis, we conducted in-depth semi-structured interviews with 20 Bangladeshi adults (mean age 41.9 years) with chronic LBP (median duration 30 months). Participants were purposively sampled to capture diverse sociodemographic perspectives. Transcripts were thematically analysed to explore lived experiences with LBP and its management. RESULTS: Four interrelated themes emerged: (1) there was limited understanding of the causes of LBP; (2) physician authority strongly influenced perceptions of physiotherapy, reinforcing passive treatment approaches; (3) friends and family, social media, and the internet shaped expectations; and (4) cultural and spiritual beliefs promoted traditional remedies over evidence-based care. As a result of these perceptions, physiotherapy was often viewed as a last resort and was typically limited to passive modalities. CONCLUSION: Improving LBP care in Bangladesh may require culturally sensitive multilevel strategies, such as public education, upskilling of physiotherapists in active evidence-based interventions, and health policy reforms, to promote the availability of direct physiotherapy access. These strategies could help align patient expectations with contemporary care models and reduce LBP-related disability in LMICs.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.218
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.005
GPT teacher head0.327
Teacher spread0.322 · 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 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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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