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Enregistrement W4390939627 · doi:10.5334/ijic.icic23089

Implementing an integrated care pathway for Somatic Symptoms and Related Disorders (SSRDs) in paediatric population

2023· article· en· W4390939627 sur OpenAlexaff
Suneeta Monga, Natasha Saunders, Shivali Kapila, Evelyn Smith, Erin Romanchych, Jordana A. Waxman

Notice bibliographique

RevueInternational Journal of Integrated Care · 2023
Typearticle
Langueen
DomaineMedicine
ThématiquePsychosomatic Disorders and Their Treatments
Établissements canadiensSickKids FoundationUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineMental healthHealth careAnxietyIntegrated carePopulationFamily medicineNursingPsychiatry

Résumé

récupéré en direct d'OpenAlex

Introduction: Somatic symptom and related disorders (SSRDs) are commonly encountered in pediatric hospital settings. These children and youth, who present with physical symptoms (e.g., headache, abdominal pain, dizziness) of emotional distress (e.g., anxiety, stress) are diagnostically and psychosocially complex, posing significant challenges for medical and behavioral health care providers. Children and adolescents with SSRDs have high health system utilization and costs and present in multiple clinical settings, have high school absenteeism, and are at elevated risk of iatrogenic harm and missed diagnoses. Patients and their caregivers present with variable readiness to engage in mental health assessment and treatment, with only 40% receiving physician-based mental health care within a year of diagnosis. There is a lack of standardization of care across and within institutions for youth with these disorders. As part of the hospital’s broader strategic direction to integrate physical and mental health care, a SSRD pathway, was developed to address care needs of one of the highest resource intensive populations at a tertiary care hospital. Methods: In 2021, a survey was conducted by our hospital’s implementation team to understand hospital stakeholder priorities when considering the many areas where new integrated care project could be launched. Stakeholders engaged in the survey included physician and operational leaders, clinical staff across the spectrum of disciplines, and a youth and family advisory panel. Focus groups (n = 57) were also conducted to solicit input and feedback. The results highlighted the need to develop a specialized care pathway for children and youth with SSRD focused on integrating physical and mental health care and support with system navigation. Using a logic model with iterative presentations to key stakeholders, the design phase included an interdisciplinary team approach with project management and operational resources to support project implementation and evaluation. Care pathways were developed based on a patient’s readiness to engage in mental health treatment and where they we along their diagnostic odyssey and care journey and intensity of resources required to support their care needs. Integrated Care Pathway: As part of the pilot pathway, a patient’s care journey will be planned in accordance with their level of readiness to accept both a somatization diagnosis and a need for mental health treatment. Patients who are partially or non-receptive to mental health supports will have access to a care manager with both physical and mental health expertise. The care manager will engage with families in shifting their focus and understanding about the mind-body connection and provide extended support with care navigation. Patients who are receptive to mental health treatments, will be referred to a group treatment program led by psychiatry and psychology with a focus on psychoeducation relating to the mind-body connection. Patients in this pathway will also have access to occupational therapy and physiotherapy resources to support with restoring function and improving school attendance, when needed. Pilot evaluation will include process and outcome measures such as number of children engaged in this pathway, time to return to functioning, completion of various mental health measures, and health resource utilization."

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)0,004
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,028

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,000
Communication savante0,0020,001
Science ouverte0,0010,006
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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 Opus0,009
Tête enseignante GPT0,296
Écart entre enseignants0,287 · 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'étudeObservationnel
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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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Même revueInternational Journal of Integrated Care→Même sujetPsychosomatic Disorders and Their Treatments→Travaux en français237 207→