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Record W3093079746 · doi:10.1093/jpepsy/jsaa101

Sociodevelopmental Challenges Faced by Young People with Chronic Pain: A Scoping Review

2020· review· en· W3093079746 on OpenAlexaff
Abigail Jones, Line Caes, C. Meghan McMurtry, Christopher Eccleston, Abbie Jordan

Bibliographic record

VenueJournal of Pediatric Psychology · 2020
Typereview
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsUniversity of GuelphMcMaster Children's Hospital
FundersPain Relief Foundation
KeywordsChronic painPsychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: Map the current literature investigating autonomy development, identity development, and peer relationships in young people aged 10-24 years with chronic pain. METHODS: A scoping review method was used to systematically search four databases (APA PsycNET, PubMed, Web of Science, and Cinahl) for peer-reviewed articles. Search results were screened against inclusion and exclusion criteria to ensure they met the objective. Eligible papers were assessed for quality, their data relating to the objective were extracted, and results are synthesized. RESULTS: Searches returned 3,815 papers after the removal of duplicates, with 42 papers included in the full review. The majority of papers investigated peer relationships (86%). Fewer papers investigated autonomy (43%) and identity (21%) development. Included papers were mostly quantitative (64%), with fewer qualitative (34%) and mixed-methods papers (2%). Overall, we found bidirectional relationships between chronic pain in young people, their social development, and a range of functional outcomes. However, the mechanisms underlying these relationships remain relatively unexplored. CONCLUSIONS: Review results are mapped onto the model proposed by Palermo et al. (2014). Guided by this model, clinical treatment for young people with chronic pain should consider social development. The model also sets out a future research agenda focused on exploring: (a) identity development, (b) the mechanisms underlying the relationships between social-developmental domains, pain, and outcomes, (c) a variety of participants and populations, and (d) a variety of methods, including longitudinal study designs.

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)0.022
metaresearch head score (Gemma)0.090
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.090
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0190.017
Science and technology studies0.0020.002
Scholarly communication0.0070.007
Open science0.0020.004
Research integrity0.0040.002
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 head0.060
GPT teacher head0.391
Teacher spread0.331 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations42
Published2020
Admission routes1
Has abstractyes

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Same venueJournal of Pediatric PsychologySame topicPediatric Pain Management TechniquesFrench-language works237,207