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Record W4388721780 · doi:10.3389/fsoc.2023.1281912

Distress in the care of people with chronic low back pain: insights from an ethnographic study

2023· article· en· W4388721780 on OpenAlexaff
Miriam Dillon, Rebecca E. Olson, Stefanie Plage, Maxi Miciak, Peter Window, Matthew Stewart, Anja Christoffersen, Simon Kilner, Natalie Barthel, Jenny Setchell

Bibliographic record

VenueFrontiers in Sociology · 2023
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDistressEthnographyEmbodied cognitionAssemblage (archaeology)ReflexivityAffect (linguistics)PsychologyHealth careSociologyPsychotherapistEpistemologySocial scienceHistoryAnthropologyCommunication

Abstract

fetched live from OpenAlex

Introduction: Distress is part of the experiences and care for people with chronic low back pain. However, distress is often pathologised and individualised; it is seen as a problem within the individual in pain and something to be downplayed, avoided, or fixed. To that end, we situate distress as a normal everyday relational experience circulating, affecting, moving in, through, and across bodies. Challenging practices that may amplify distress, we draw on the theorisation of affect as a relational assemblage to analyse physiotherapy clinical encounters in the care of people with chronic low back pain. Methods: Adopting a critical reflexive ethnographic approach, we analyse data from a qualitative project involving 15 ethnographic observations of patient-physiotherapist interactions and 6 collaborative dialogues between researchers and physiotherapists. We foreground conceptualisations of distress- and what they make (im)possible-to trace embodied assemblage formations and relationality when caring for people with chronic low back pain. Results: Our findings indicate that conceptualisation matters to the clinical entanglement, particularly how distress is recognised and navigated. Our study highlights how distress is both a lived experience and an affective relation-that both the physiotherapist and people with chronic low back pain experience distress and can be affected by and affect each other within clinical encounters. Discussion: Situated at the intersection of health sociology, sociology of emotions, and physiotherapy, our study offers a worked example of applying an affective assemblage theoretical framework to understanding emotionally imbued clinical interactions. Viewing physiotherapy care through an affective assemblage lens allows for recognising that life, pain, and distress are emerging, always in flux. Such an approach recognises that clinicians and patients experience distress; they are affected by and affect each other. It demands a more humanistic approach to care and helps move towards reconnecting the inseparable in clinical practice-emotion and reason, body and mind, carer and cared for.

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)0.011
metaresearch head score (Gemma)0.020
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 score0.015
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0110.013
Scholarly communication0.0060.007
Open science0.0020.010
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.280
Teacher spread0.271 · 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".

Quick stats

Citations10
Published2023
Admission routes1
Has abstractyes

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