Anales de pediatria · 2026
Stratification by complexity of children with complex chronic conditions: a retrospective study.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
López de Suso Martínez de Aguirre Dorleta, Martín Gómez Carlos, de Noriega Echevarría Iñigo, Martino Alba Ricardo, Jiménez García Raquel
Аннотация
INTRODUCTION: Advances in medical care have increased the survival of children with chronic diseases, resulting in a growing population of patients with paediatric chronic complex conditions (PCCCs). The heterogeneity in the used terminology and identification tools hampers consistent stratification and appropriate planning of health care resources.
OBJECTIVE: To determine the level of complexity in pediatric patients with chronic conditions using validated tools.
METHODS: We conducted a retrospective cross-sectional study in a representative sample of paediatric patients with chronic conditions documented in the administrative records from the Community of Madrid in 2023. We collected data on sociodemographic variables and the main diagnosis according to the ICD-10. A sequential stratification process was applied using the Pediatric Medical Complexity Algorithm (PMCA), followed by the PedCom scale in patients classified as having PCCCs with the PMCA. We analyzed differences in patient categorization between the two tools and the variation in complexity according to the primary diagnosis.
RESULTS: The analysis included a total of 355 patients with a median age of 8.1 years, of who 41.4% were female. According to the PMCA, 66.2% of patients were classified as having PCCCs. In this group, only 49.3% met the criteria for PCCCs using the PedCom scale. There was substantial varition in PedCom scores among patients sharing the same primary diagnosis.
CONCLUSIONS: Complexity in pediatric chronic conditions does not depend solely on the main diagnosis but on multiple clinical and psychosocial factors. The combined use of tools such as the PMCA and the PedCom may improve identification of children with greater complexity and support more tailored health care planning.
OBJECTIVE: To determine the level of complexity in pediatric patients with chronic conditions using validated tools.
METHODS: We conducted a retrospective cross-sectional study in a representative sample of paediatric patients with chronic conditions documented in the administrative records from the Community of Madrid in 2023. We collected data on sociodemographic variables and the main diagnosis according to the ICD-10. A sequential stratification process was applied using the Pediatric Medical Complexity Algorithm (PMCA), followed by the PedCom scale in patients classified as having PCCCs with the PMCA. We analyzed differences in patient categorization between the two tools and the variation in complexity according to the primary diagnosis.
RESULTS: The analysis included a total of 355 patients with a median age of 8.1 years, of who 41.4% were female. According to the PMCA, 66.2% of patients were classified as having PCCCs. In this group, only 49.3% met the criteria for PCCCs using the PedCom scale. There was substantial varition in PedCom scores among patients sharing the same primary diagnosis.
CONCLUSIONS: Complexity in pediatric chronic conditions does not depend solely on the main diagnosis but on multiple clinical and psychosocial factors. The combined use of tools such as the PMCA and the PedCom may improve identification of children with greater complexity and support more tailored health care planning.