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Enregistrement W4385751828 · doi:10.1177/20543581231191836

Transition From Pediatric to Adult Nephrology Care: Program Report of a Single-Center Experience

2023· article· en· W4385751828 sur OpenAlexafffund
Andrey V. Cybulsky, Leonor Cercena, Paul Goodyer, Rita S. Suri

Notice bibliographique

RevueCanadian Journal of Kidney Health and Disease · 2023
Typearticle
Langueen
DomaineHealth Professions
ThématiqueAdolescent and Pediatric Healthcare
Établissements canadiensMcGill University Health Centre
Organismes subventionnairesAmgen CanadaMcGill UniversityAmgen
Mots-clésMedicineNephrologyYoung adultAdult careFamily medicineHealth careKidney diseaseInternal medicinePediatrics

Résumé

récupéré en direct d'OpenAlex

Purpose of program: Adolescents and young adults with chronic disease face many personal and systemic barriers that may impede their successful transition from pediatric to adult care, putting them at risk for treatment nonadherence, loss to follow-up, and poor health outcomes. Such barriers include impaired socioemotional functioning, overreliance on adult caregivers, lack of disease-specific knowledge, and poor coordination between pediatric and adult health care services. In 2007, we established a specialized youth to adult nephrology transition clinic at a tertiary care center to address these barriers and provide adolescents and young adults with renal disease followed at the affiliated children's hospital with a seamless transition to adult care. Sources of information: The attending clinic nephrologist collected data prospectively for this quality improvement report. Methods: The features of this specialized clinic included (1) single point of entry and single triage adult nephrologist, (2) ongoing follow-up with a single adult nephrologist who communicated with the pediatric nephrologists, and (3) a single specialized clinic nurse who provided disease-specific education and helped to ensure ongoing patient engagement and follow-up. Importantly, the transition patients were booked into regular appointment slots in the adult nephrologist's general clinic, which facilitated regular follow-up without additional resources. The salary of the transition clinic nurse was covered by an unrestricted grant. Patient visits were in-person, except between 2020 and 2021 when visits were by telephone due to the pandemic. Key findings: A total of 213 patients were referred and assessed in the transition clinic from February 2007 until October 2022. Most referrals were from pediatric nephrologists. Among the patients, 29% had a hereditary kidney disease; in 71%, the disease was acquired. The most common disease was glomerulonephritis and ~30% of the patients suffered from a "rare" disease. Of the 213 patients, 123 (58%) continue to be followed up (mean follow-up: 4.8 years), 27 (13%) were transferred to other physicians, in part to accommodate treatment closer to patients' homes, and 29 (14%) without ongoing care needs were discharged. Only 33 (15%) were lost to follow-up. There were several advantages to the clinic, including the maintenance of accurate records, a process to minimize loss to follow-up, and a "critical mass" of patients with rare diseases, which facilitated development of special expertise in rare disease pathogenesis, diagnosis, treatment, and management of complications. Patients with glomerulonephritis demonstrated a stable serum creatinine over 3 to 15 years, and morbidity (as reflected by emergency room visits and hospitalizations) was low. Limitations: Due to the relatively small numbers of patients in the disease categories, it was not possible to determine conclusively whether attendance of patients in the transition clinic reduced the rate of progression of kidney disease or morbidity. Implications: A dedicated referral, triage, and follow-up process post-transition with only modest financial resources and personnel can result in accurate tracking of clinic data, as well as consistent and reliable follow-up and expert patient care.

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)0,001
score de la tête « metaresearch » (Gemma)0,003
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 enseignants0,989
Score d'incertitude au seuil0,021

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,001
Communication savante0,0020,001
Science ouverte0,0010,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,047
Tête enseignante GPT0,383
Écart entre enseignants0,336 · 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

Citations11
Publié2023
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueCanadian Journal of Kidney Health and DiseaseMême sujetAdolescent and Pediatric HealthcareTravaux en français237 207