Escala para la identificación del paciente pediátrico crónico complejo (Escala PedCom). Estudio piloto
- Elena Godoy-Molina
- Tamara Fernández-Ferrández
- José María Ruiz-Sánchez
- Ana Cordón-Martínez
- Javier Pérez-Frías
- Víctor Manuel Navas-López
- Esmeralda Nuñez-Cuadros
ISSN: 1695-4033, 1696-4608
Argitalpen urtea: 2022
Alea: 97
Zenbakia: 3
Orrialdeak: 155-160
Mota: Artikulua
Beste argitalpen batzuk: Anales de Pediatría: Publicación Oficial de la Asociación Española de Pediatría ( AEP )
Laburpena
Introduction and objectives The complex chronic condition (CCC) is an increasingly prevalent reality in pediatrics. However, having a CCC does not necessarily mean being a complex chronic patient (CCP). From this perspective, we developed an instrument (PedCom Scale) that would facilitate the identification of the PCC. Material and methods Initially, general aspects for the classification of patients as CCP were defined. Subsequently, the items of the scale were developed, scoring them from 0.5 to 4 points. We performed a confirmatory factor analysis (CFA) and the internal consistency was studied using alpha-Cronbach. Concordance was evaluated by intra- and inter-observer study. The gold standard was the classification performed by two evaluators after assessing the patient's medical history. The cut-off point for considering the patient as a CCP was established using the ROC curve. Results The initial version included 43 items with a global content validity index (CVI) of 0.94. A total of 180 patients were included. After the CFA, one item was eliminated, so the final version consists of 42 items with an CVI of 0.95. The alpha-Cronbach value was 0.723. The intraclass correlation coefficient of the test–retest analysis was 0.998 and 0.996 for the inter-observer study. The cut-off point for considering a patient as a CCP was established at 6.5 points, with these results we obtained a sensitivity of 98% and specificity of 94%. Conclusions The PedCom Scale is an easy-to-use tool focused on the identification of the CCP. In our sample, it presented satisfactory levels of internal consistency and adequate levels of intra- and inter-observer agreement, with good sensitivity and specificity for the identification of the PCC.