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Record W4383999007 · doi:10.1002/ejp.2157

Pain, mental health and healthcare utilization: Impact of the <scp>COVID</scp>‐19 pandemic on youth with chronic pain, parents and siblings

2023· article· en· W4383999007 on OpenAlexafffundabout
Sabine Soltani, Tieghan Killackey, Kathryn A. Birnie, Sarah Brennenstuhl, Daniel C. Kopala‐Sibley, Manon Choinière, M. Gabrielle Pagé, Lise Dassieu, Anaïs Lacasse, Chitra Lalloo, Patricia A. Poulin, Pablo Ingelmo, Samina Ali, Marco Battaglia, Fiona Campbell, Andrew Smith, Myles Benayon, Isabel Jordán, Justina Marianayagam, Lauren Harris, Vina Mohabir, Jennifer Stinson, Mélanie Noël

Bibliographic record

VenueEuropean Journal of Pain · 2023
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsNOSM UniversityMcMaster UniversityCentre for Addiction and Mental HealthWomen and Children’s Health Research InstituteUniversity of AlbertaUniversity of Alberta HospitalOttawa HospitalAlberta Medical AssociationMontreal Children's HospitalUniversity of TorontoUniversité du Québec en Abitibi-TémiscamingueHospital for Sick ChildrenOntario Brain InstituteUniversité de MontréalInstitute for Clinical Evaluative SciencesUniversity of OttawaAlberta Children's HospitalCentre Hospitalier de l’Université de MontréalSquamish NationUniversity of CalgarySickKids Foundation
FundersCanadian Institutes of Health Research
KeywordsChronic painMental healthPandemicAnxietyMedicineHealth carePsychiatryPublic healthPain catastrophizingCoronavirus disease 2019 (COVID-19)DiseaseNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Paediatric chronic pain was a public health emergency before the novel coronavirus (COVID-19) pandemic, and this problem is predicted to escalate. Pain tends to occur intergenerationally in families, and youth with chronic pain and their parents have high rates of mental health issues, which can further exacerbate pain. Siblings of youth with chronic pain have been largely overlooked in research, as well as the impact of the pandemic on posttraumatic stress disorder (PTSD) symptoms and healthcare utilization. METHODS: This cross-sectional study examined pain, mental health and healthcare utilization in three groups: youth with chronic pain (n = 357), parents of youth with chronic pain (n = 233) and siblings of youth with chronic pain (n = 156) during the COVID-19 pandemic in Canada. RESULTS: More so than with pain symptoms, the results revealed high levels of mental health symptoms (i.e. anxiety, depressive, and PTSD), particularly in individuals more personally impacted by the pandemic. The largest effect was seen on PTSD symptoms for all groups. For parents with chronic pain, greater personal COVID-19 impact was related to worse pain interference. Reported rates of healthcare utilization were strikingly high, with youth with chronic pain, parents (reporting on behalf of their children with chronic pain), and siblings of youth with chronic pain reporting that most consultations were due to pain. CONCLUSIONS: Longitudinal research assessing these outcomes across continued waves of the pandemic is needed to ensure timely, tailored and equitable access to pain and mental health assessment and treatment. SIGNIFICANCE: This study examined pain, mental health, substance use and healthcare utilization in youth with chronic pain, siblings and parents during the COVID-19 pandemic. Greater personal impact of the pandemic was not largely associated with poorer pain outcomes; however, it was associated with mental health, with the largest effect on PTSD symptoms. The high rates and significant association of COVID-19 impact with PTSD symptoms underscore the importance of including PTSD assessment as part of routine screening practices in pain clinics.

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)0.016
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.064
GPT teacher head0.331
Teacher spread0.267 · 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.

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

Citations11
Published2023
Admission routes3
Has abstractyes

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