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OP65 An ecosystem of accepting life with chronic pain: a meta-ethnography

2024· article· en· W4401903611 on OpenAlexaboutno aff
Carol Ann MacGregor, DN Blane, Emmanuelle Tulle, CL Campbell, RJ Barber, C Hill-OConnor, Chris Seenan

Bibliographic record

VenueSSM Annual Scientific Meeting · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographyEcosystemMeta-analysisComputer scienceSociologyMedicineEcologyAnthropologyBiologyInternal medicine

Abstract

fetched live from OpenAlex

<h3>Background</h3> Chronic pain is a highly prevalent long-term condition, impacting both the individual living with pain, and wider society. It is experienced unequally, with higher prevalence among women, socioeconomically disadvantaged, and racially marginalised groups. ‘Acceptance’ of the long-term nature of chronic pain is associated with improved quality of life, mood and function, but is typically framed as an individual behaviour. However, qualitative studies of lived experiences challenge this framing, demonstrating complexity related to socio-cultural and healthcare experiences, and difficulties with language and meaning. We framed acceptance of chronic pain as socially constructed and aimed to conceptualise acceptance of chronic pain in adults. <h3>Methods</h3> We conducted a systematic database search across MEDLINE, CINAHL, PsycINFO, Web of Science and AMED, including all languages, followed by double-blinded screening, and grey literature searching. We included: qualitative studies using adults; chronic pain as the primary condition; study included an aim to research the acceptance concept. PROSPERO protocol: CRD42021253509. We conducted the synthesis stages of meta-ethnography with co-researchers involved in data extraction, providing checks and feedback throughout. <h3>Results</h3> We included ten studies from: Canada, Sweden, The Netherlands, Ireland, UK, Australia and New Zealand. Our ‘lines of argument’ include: Accepting life with chronic pain involves a fluid and continuous journey with fluctuating states of acceptance, a turning point, iterative steps and relationship to mental health. The language and meaning of acceptance shows a contested concept, related to the underpinning nature of chronic pain, and cultural models of health and illness. The individual’s journey can include a challenge to identity, negatively influenced by capitalist and ableist ideology and structures, with the associated individualism limiting the accepting process for some with chronic pain, particularly those ascribed lower socioeconomic status. We found it helpful for individuals to experience a caring, supportive and coherent system that includes healthcare, workplaces and political discourse being adaptive to the realities of chronic pain. We combined these into an ‘ecosystem,’ with the conceptual framework represented by a rosebush with interconnected branches, holding both roses and thorns, such is the nature of accepting life with chronic pain. <h3>Conclusion</h3> Our findings broaden conceptualisation of ‘acceptance of chronic pain’ beyond an individualised psychological construct, to a fluid and continuous journey, interconnected with our socio-cultural-political worlds; an ecosystem. While we must personalise care for the individual, it should not be de-contextualised from our social world, and we used meta-ethnography to expand our understanding of key influences on the acceptance of 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.063
GPT teacher head0.287
Teacher spread0.223 · 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.

Study designNot applicable
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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Citations0
Published2024
Admission routes1
Has abstractyes

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