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Record W3066746729 · doi:10.1093/pch/pxaa068.049

50 Bridging the gap between education and health: What youth need educators to know about chronic pain

2020· article· en· W3066746729 on OpenAlexaffabout
Casey McMahon, Rylie Bonkowski, Marty Hoehn, Krista Baerg

Bibliographic record

VenuePaediatrics & Child Health · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsSaskatoon City Hospital
Fundersnot available
KeywordsChronic painMedicineDemographicsInclusion (mineral)Health careFamily medicinePsychologyPhysical therapy

Abstract

fetched live from OpenAlex

Abstract Background Chronic pain is common and affects 20% of children and youth. Those with chronic pain often have a difficult time regularly attending school, with up to 50% of children and youth with chronic pain missing some school. Specific accommodations that benefit youth are unknown. Nearly half of parents of youth with chronic pain report their child’s grades dropped since pain onset. Both parents and youth report “moderate levels of interference” with learning. Most common accommodations include being sent to the nurse, being sent home and receiving extensions on assignments. While these strategies may be helpful for pain conditions expected to resolve, strategies that support staying in and succeeding at school are required for youth with chronic pain. Objectives This study aims to determine what educators need to know to best support youth with chronic pain in the academic setting. More specifically, 1) to determine what youth with chronic pain, parents of youth, educators, and healthcare professionals want educators to know about supporting students with chronic pain, and 2) to describe health professionals’ and educators’ attitudes and knowledge of pediatric chronic pain. Design/Methods Inclusion criteria include youth age 12-25 years with chronic pain and parents, health professionals and educators of youth with chronic pain. The recruitment strategy includes distribution of the survey via the Saskatchewan pediatric chronic pain clinic research contact lists, the Canadian Paediatric Society Section of Community Paediatrics listserve and social media. This online cross-sectional survey includes participant demographics and questions about accommodations noted to be helpful for youth with chronic pain. In addition, educator and health professional surveys include the 26-item Chronic Pain Myth Scale (CPMS). Results The study group includes 87 participants, 26 youth, 18 family/friends, 19 educators, and 24 health professionals. Some suggested school accommodations include: access to technology in class, teachers providing notes for students, education on chronic pain for teachers and students, and improved communication and collaboration between the youth, their healthcare team and educators. The majority of health professionals and educators report some knowledge, positive beliefs and attitudes towards people suffering from chronic pain (M=3.03, SD= .34). Conclusion Chronic pain is common and affects school attendance and achievement. Suggestions for accommodations to help those with chronic pain in the academic setting are made. Educators and health professionals indicated varying levels of knowledge, attitudes and beliefs, with some educators indicating they would like to receive education about chronic pain. Improved communication between school-based pupil support teams and health care teams is warranted.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.098
GPT teacher head0.432
Teacher spread0.333 · 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 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".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

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