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Enregistrement W4413358452 · doi:10.5334/ijic.nacic24048

Connected Care: A co-designed community-led pathway for early detection and intervention for chronic obstructive pulmonary disease

2025· article· en· W4413358452 sur OpenAlexaboutno aff
Cécile Raymond, Christopher T. Chan, Kyle Maccallum, Paulina Bleah, Joe Pedulla, Lori Seeton, Melissa Chang, Alina Blazer, Andrew Kouri, Ana MacPherson, Erin Stankevicius, Tania Carlyle, Jill Quance

Notice bibliographique

RevueInternational Journal of Integrated Care · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Obstructive Pulmonary Disease (COPD) Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPulmonary diseaseMedicineIntervention (counseling)COPDIntensive care medicineNursingInternal medicine

Résumé

récupéré en direct d'OpenAlex

Background: We developed a community pathway for chronic obstructive pulmonary disease (COPD), one of the most prevalent chronic respiratory conditions in Canada. We had the unique opportunity to co-develop a pathway that truly reflects health status and care continuum perspectives and strengths in COPD. Approach:COPD is one of the most common reasons for hospital admission in Canada, and in Ontario accounts for up to one-third of all health care utilization. COPD is also one of the most common comorbidities in the community.During this presentation, the audience will learn how Connected Care in partnership with the University of Toronto Division of Respirology and Toronto Paramedic Services Community Paramedicine developed a comprehensive COPD pathway for residents of the Greater Toronto Area (GTA). We will also demonstrate how these groups worked together to co-design a pathway, and will share interesting findings from this complex patient population.Planning involved bringing key partners and stakeholders together in the engagement phase to better understand the target patient population we proposed to screen for COPD. Leveraging existing resources was key given the abundance of information about the COPD journey and the testing required for this patient population. The clinical team, including nurse practitioners, respiratory therapists and Respirologists were instrumental in the design of the pathway, providing input and clinical guidance. Throughout the pathway pilot phase, we will continue to revise the process based on both clinical and patient feedback.This pathway will provide earlier access to treatment for community residents with diagnosed and un-diagnosed COPD that are often missed, preventing unnecessary 9 calls, Emergency Department visits, and hospital admissions. Results:The COPD Pathway aims to keep residents in their community and manage symptoms to prevent unnecessary 9 calls, visits to the Emergency Department, and hospitalization. The pathway has multiple services and streams of follow-up based on the patients needs: ) Proactive outreach and screening in high priority settings such as Naturally Occurring Retirement Communities (NORCs) with an emphasis on prevention and health promotion in addition to intervention;a. NORCs present an opportunity to keep people healthy; this was an opportunity to not re-invent the wheel but bring together evidence-based models that are working to be even greater than the sum of its parts2) Leveraging the experience and scope of various roles to create an effective pathway3) Patients are treated based on the pathway that suits their needsa. We have an escalation of care option where a nurse practitioner is able to refer patients living with moderate to severe COPD to a Respirologist4) Patients receive ongoing monitoring and care5) Patients are reintegrated into community and able to self-manage their condition.The pilot was initiated in April 2024 and residents were identified through Paramedic Led Wellness Clinics. So far, we have conducted four Wellness Clinics, where 95 residents have been screened, and 0 referrals to the pathway have been generated. We will provide initial results and impacts at the conference. Implications: Through this pathway, our highly engaged team is: Detecting residents who may be living with undiagnosed COPD earlier than otherwise possible Monitoring existing COPD patients to reduce exacerbation/unnecessary 9 calls/Emergency Department visits Providing seamless care from community to hospital In addition, we have discovered that we are screening not only patients who may screen positive for COPD through spirometry testing, but also patients who fall outside this pathway but equally require a more comprehensive assessment for another respiratory condition, and we therefore are providing our findings back to their primary care provider for further investigations and treatment.

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)0,006
score de la tête « metaresearch » (Gemma)0,017
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,036
Score d'incertitude au seuil0,072

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,017
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0050,001
Communication savante0,0040,002
Science ouverte0,0020,011
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0140,002

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 Opus0,013
Tête enseignante GPT0,317
Écart entre enseignants0,304 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
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

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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