2021
DOI: 10.1542/hpeds.2020-0066
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Point-of-Care Complexity Screening Algorithm to Identify Children With Medical Complexity

Abstract: OBJECTIVES: For pediatric complex care programs to target enhanced care coordination services to the highest-risk patients, it is critical to accurately identify children with medical complexity (CMC); however, no gold standard definition exists. The aim of this study is to describe a point-of-care screening algorithm to identify CMC with high health care use, a group that may benefit the most from improved care coordination. METHODS: … Show more

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Cited by 10 publications
(2 citation statements)
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References 22 publications
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“…As inclusion criteria, children must meet the definition of the medical complexity algorithm defined by the Seattle Children's Hospital Group and score at least 6,5 points on the PedCom Scale (20,21). They also had to be followed in the Complex Chronic Patient and Pediatric Palliative Care Unit of the hospital and had a high level of complexity, defined not only by the identification of the child as a complex chronic patient but also by the need of high consumption of resources: two or more hospital admissions; at least one admission to intensive care or six or more visits to the emergency department in the last twelve months) (22). Patients older than 18 years of age or those families not signing the informed consent where excluded.…”
Section: Methodsmentioning
confidence: 99%
“…As inclusion criteria, children must meet the definition of the medical complexity algorithm defined by the Seattle Children's Hospital Group and score at least 6,5 points on the PedCom Scale (20,21). They also had to be followed in the Complex Chronic Patient and Pediatric Palliative Care Unit of the hospital and had a high level of complexity, defined not only by the identification of the child as a complex chronic patient but also by the need of high consumption of resources: two or more hospital admissions; at least one admission to intensive care or six or more visits to the emergency department in the last twelve months) (22). Patients older than 18 years of age or those families not signing the informed consent where excluded.…”
Section: Methodsmentioning
confidence: 99%
“…Teniendo como centro al paciente y su complejidad, también se han consensuado diferentes modelos de análisis de los procesos asistenciales dentro de unidades hospitalarias 2 , la calidad de los servicios sanitarios 8 , el análisis de eventos adversos 9,10 , algoritmos de toma de decisión 11 y sistemas de alerta temprana 12,13 (early warning system) para reconocer de manera precoz al pa-ciente que, por su complejidad, necesita mayor rapidez y priorización de cuidados. La novedad que aporta el estudio de Urbina et al 14 , publicado en este número de EMERGENCIAS, es analizar la asociación entre la reconsulta en un servicio de urgencias y los factores de complejidad de los pacientes.…”
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