MétaCan
Menu
Retour à la cohorte
Enregistrement W2987509312 · doi:10.9778/cmajo.20190060

Partnering For Pain: a Priority Setting Partnership to identify patient-oriented research priorities for pediatric chronic pain in Canada

2019· article· en· W2987509312 sur OpenAlexaffvenueabout
Kathryn A. Birnie, Katherine Dib, Carley Ouellette, Mary Anne Dib, Kimberly Nelson, Dolores Pahtayken, Krista Baerg, Jill Chorney, Paula Forgeron, Christine Lamontagne, Mélanie Noël, Patricia A. Poulin, Jennifer Stinson

Notice bibliographique

RevueCMAJ Open · 2019
Typearticle
Langueen
DomaineMedicine
ThématiquePediatric Pain Management Techniques
Établissements canadiensMcMaster UniversityPacific Insight Electronics (Canada)St. Peter's HospitalUniversity of SaskatchewanHospital for Sick ChildrenOttawa HospitalIzaak Walton Killam Health CentreUniversity of CalgaryChildren's Hospital of Eastern OntarioDalhousie UniversityUniversity of TorontoUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésGeneral partnershipChronic painInterimMedicineFamily medicineAlliancePhysical therapyBusinessPolitical science

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Chronic pain affects 1-3 million Canadian children and adolescents and their families. The primary objective of the Partnering For Pain project was to collaboratively identify the top 10 research priorities in pediatric chronic pain. METHODS: Partnering For Pain took a patient-oriented research approach and followed a modified James Lind Alliance Priority Setting Partnership (PSP) to identify the top research priorities in pediatric chronic pain according to people with lived experience (patients), family members and health care providers (clinicians). The PSP was completed in 4 phases between May and December 2018: 1) national survey of stakeholders, including those with lived experience with pediatric chronic pain, family members and clinicians who treat children with chronic pain, to gather priorities, 2) data processing, 3) interim prioritization by invited patients, family members and clinicians (former research participants or identified through pediatric chronic pain programs, patient partner organizations and steering committee member networks) and 4) in-person priority-setting workshop involving patients, family members and clinicians identified via steering committee networks and partner organizations, with evaluation of patient engagement. The process was led by a national steering committee of patient and parent partners, researchers and clinicians engaged in codesign, analysis and translation of project findings. RESULTS: In phase 1, 215 Canadians (86 patients [40.0%], 56 family members [26.0%] and 73 clinicians [34.0%]) submitted 540 potential priorities that were developed into 112 unique research questions (phase 2). Of the 112 questions, 63 were rated for importance by 57 participants (19 patients [33%], 17 family members [30%] and 21 clinicians [37%]) in phase 3. In phase 4, 20 participants (6 patients [30%], 6 family members [30%] and 8 clinicians [40%]) discussed the 25 most highly rated questions and reached consensus on the final top 10. INTERPRETATION: The final priorities address pediatric chronic pain prevention, impact and treatment, as well as delivery, access and coordination of care. The priorities reflect a directed and collaborative call to action to improve existing pediatric pain research and care. PLAIN LANGUAGE SUMMARY: Chronic pain affects 1 in 5 children and teens. This means that 1-3 million Canadian youth deal with pain lasting months to years. This pain gets in the way of being active, sleeping, going to school, and getting along with friends and family. Youth with chronic pain and their families are experts on what it's like to live with pain, but, until now, research has not asked what issues they care about most. The goal of the Partnering For Pain project was to develop a list of the 10 most important things we still need to learn about chronic pain during childhood according to people who live with it, their families and health care providers. We did this in 4 steps: 1) a survey with 215 people who shared 540 concerns they have about chronic pain in childhood, 2) turning those concerns into questions that can be answered by research, 3) a survey with 57 people who ranked how important each research question was and 4) an in-person discussion with 20 people who chose the top 10 research priorities. Each step included Canadians who have had chronic pain during childhood, their families and health care providers. The final top 10 list has questions about how to better prevent and care for children and teens with chronic pain. These priorities make sure that future research focuses on what is most important to people who will use it in their everyday lives. Project video: https://youtu.be/wA-RwrFiSPk. Project website: www.partneringforpain.com.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,044
score de la tête « metaresearch » (Gemma)0,040
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,956
Score d'incertitude au seuil0,801

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0440,040
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,005
Études des sciences et des technologies0,0220,004
Communication savante0,0070,003
Science ouverte0,0030,016
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,067
Tête enseignante GPT0,398
Écart entre enseignants0,331 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeQualitatif
DomaineMéthodes
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations76
Publié2019
Routes d'admission3
Résumé présentoui

Explorer davantage

Même revueCMAJ OpenMême sujetPediatric Pain Management TechniquesTravaux en français237 207