MétaCan
Menu
← Back to cohort
Record W4213342851 · doi:10.24124/2021/59189

Does mindfulness intervention improve quality of life in adults with non-malignant chronic pain

2021· dissertation· en· W4213342851 on OpenAlexfundno aff
Nikolay Kondratyev

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
FundersUniversity of Northern British Columbia
KeywordsMindfulnessChronic painQuality of life (healthcare)Intervention (counseling)DistressMedicineMedical prescriptionPsychotherapistPsychologyClinical psychologyPhysical therapyPsychiatryNursing

Abstract

fetched live from OpenAlex

Chronic pain is a significant problem that negatively affects quality of life resulting in distress, disability, and inappropriate prescription of analgesics. Primary care providers need evidence for non-pharmaceutical tools, such as mindfulness-based intervention, to manage the complexities of chronic pain. The purpose of this integrative literature review is to investigate the impact mindfulness may have on the quality of life of subjects with chronic pain. A background of relevant information is presented regarding chronic pain, quality of life, and mindfulness. Thereafter, a comprehensive search revealed 14 studies in this integrative literature review. Key findings include that there is low to moderate quality evidence that mindfulness improves QOL, especially in the domains of mental well-being. Overall, mindfulness can be an effective tool for individuals that are currently on pharmacological monotherapy. The study concludes with recommendations for future research and practice.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.325
Teacher spread0.312 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicMindfulness and Compassion Interventions→French-language works237,207→