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Enregistrement W4401342128 · doi:10.1542/peds.2024-067259

Complexity Plus: The Importance of Co-Occurring Conditions in Children With Medical Complexity

2024· letter· en· W4401342128 sur OpenAlexaff
Nicolas M. Oreskovic, Eyal Cohen

Notice bibliographique

RevuePEDIATRICS · 2024
Typeletter
Langueen
DomaineMedicine
ThématiqueInfant Development and Preterm Care
Établissements canadiensHospital for Sick ChildrenUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicine

Résumé

récupéré en direct d'OpenAlex

In this issues of Pediatrics, Leyenaar and colleagues report results from a retrospective cohort study assessing neurodevelopmental and mental health conditions and health care utilization among children with medical complexity (CMC).1 The authors reviewed all-payer insurance claims data from over 85 000 children ages 3 to 17 years living in 3 states over 5 years and compared rates of co-occurring neurodevelopmental and mental health diagnoses in CMC to those of a comparison group of children without medical complexity, as well as differences in ambulatory clinic visits, emergency department visits, hospitalizations, and in-hospital mortality among CMC with and without these comorbidities. The authors reported that children with medical complexity were 3 times as likely to have a co-occurring neurodevelopmental disorder and twice as likely to have a mental health disorder as children without medical complexity and that these diagnoses were associated with increased utilization of both ambulatory and hospital-based health care services. The study did not find any differences in in-hospital mortality.This important study adds to the growing literature on furthering our understanding of CMC, the unique complexities seen in this population, and the implications for health services delivery and health care policy. CMC represent a small, heterogenous, high-complexity, high-needs population that in recent years has been a focus in pediatric health services research.2 Over the last several decades the number of CMC has increased, along with a growing recognition of the important health and well-being, social, and care-delivery needs and challenges particular to this population.3Although the current study found CMC to have higher rates of emergency and hospital utilization, and prior research has shown that CMC with mental health presenting to the emergency department may result in an increased likelihood of subsequent hospitalization,4 it is not clear whether some of this utilization may be preventable and what the impact of health care spending would be with increased recognition of these conditions and support services for families with CMC.By using all-payer data from several states and limiting the data before the coronavirus disease 2019 pandemic, the study captures broad populations and data while avoiding potential historical confounding because of the amplification of the youth mental health crisis during the pandemic. Nevertheless, given that over 90% of the patients were from urban settings and over 70% from Massachusetts, the population likely largely reflects the greater metropolitan Boston region, and the findings may not be broadly generalizable. Increased medical complexity often means increased engagement with the medical system and a risk of ascertainment bias in the findings, as CMC have more touchpoints with clinicians to ascertain mental health and neurodevelopmental diagnoses. The reported associations also raise important questions about underlying biologic mechanisms driving the associations between the increased co-occurrence of neurodevelopmental and mental health conditions in CMC. Many conditions within CMC classification systems, such as neurologic, metabolic5 and genetic conditions,6 and complex congenital heart disease7 directly affect brain development. For others, genetic or acquired etiologies explaining neuropsychiatric manifestations, including experiences of stress, social inequities, and other factors remains to be elucidated.The United States is suffering from a shortage of pediatric mental health providers and long wait times for services.8 Such issues may be even more important to address in CMC with co-occurring neurodevelopmental or mental health conditions given the high rate of unmet needs in this high-risk population.9 Support for parents and families of CMC is often overlooked but may play an especially important role in CMC with co-occurring conditions, given the increased social and mental health burdens experienced by parents of CMC.10,11Now that the scope of increased risk for co-occurring neurodevelopmental and mental health conditions is becoming more clear, identifying optimal ways to increase support services for CMC and their families should be a central focus of advocacy and policy. Current reimbursement models disincentivize pediatric care teams to assess the need for and provide mental health and developmental supports and services. Creating coordinated complex care delivery models that embed mental health and developmental support services in primary care or during acute hospitalizations could help address such barriers to care. In Massachusetts, recently enacted legislation will help to identify CMC statewide, including those with co-occurring mental health conditions, and their health care utilization patterns—an important first step for screening, quantification, and better needs assessment in this high-risk population.12 The proposed creation of a central database in Massachusetts with tailored performance metrics on frequent barriers in care delivery for CMC, including language, travel distance, wait times, and regional availability of primary and specialty providers, and a dedicated collaborative oversight hub composed of government and nongovernmental agencies to guide and oversee data collection would further help to provide structure to facilitate supporting the care coordination efforts and health care needs of CMC and their families.13 Only through such investments in care or a restructuring of current reimbursement models will children with medical complexity and their families begin to overcome barriers to care and obtain needed resources for addressing the important challenges of co-occurring mental and developmental health conditions.

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)0,002
score de la tête « metaresearch » (Gemma)0,012
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: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,021

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,012
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,001
Communication savante0,0030,003
Science ouverte0,0010,002
Intégrité de la recherche0,0010,003
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 Opus0,037
Tête enseignante GPT0,305
Écart entre enseignants0,268 · 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
GenreCommentaire

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
Publié2024
Routes d'admission1
Résumé présentoui

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