Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain)

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10045/122906
Información del item - Informació de l'item - Item information
Título: Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain)
Autor/es: Company-Sancho, Maria Consuelo | González Chordá, Víctor Manuel | Orts-Cortés, María Isabel
Grupo/s de investigación o GITE: Grupo Balmis de Investigación en Historia de la Ciencia, Cuidados en Salud y Alimentación (BALMIS)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Enfermería
Palabras clave: Costs | Variability | AMG | Morbidity aggregator (or stratification systems) | Multi-morbidity
Área/s de conocimiento: Enfermería
Fecha de publicación: 1-abr-2022
Editor: MDPI
Cita bibliográfica: Company-Sancho MC, González-Chordá VM, Orts-Cortés MI. Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain). International Journal of Environmental Research and Public Health. 2022; 19(7):4219. https://doi.org/10.3390/ijerph19074219
Resumen: Morbidity is the main item in the distribution of expenditure on healthcare services. The Adjusted Morbidity Group (AMG) measures comorbidity and complexity and classifies the patient into mutually exclusive clinical categories. The aim of this study is to analyse the variability of healthcare expenditure on users with similar scores classified by the AMG. Observational analytical and retrospective study. Population: 1,691,075 subjects, from Canary Islands (Spain), aged over 15 years with data from health cards, clinical history, Basic Minimum Specialised Healthcare Data Set, AMG, hospital agreements information system and Electronic Prescriptions. A descriptive, bivariant (ANOVA coefficient η2) and multivariant analysis was conducted. There is a correlation between the costs and the weight of AMG (rho = 0.678) and the prescribed active ingredients (rho = 0.689), which is smaller with age and does not exist with the other variables. As for the influence of the AMG morbidity group on the total costs of the patient, the coefficient η2 (0.09) obtains a median effect in terms of the variability of expenditure, hence there is intra- and inter-group variability in the cost. In a first model created with all the variables and the cost, an explanatory power of 36.43% (R2 = 0.3643) was obtained; a second model that uses solely active ingredients, AMG weight, being female and a pensioner obtained an explanatory power of 36.4%. There is room for improvement in terms of predicting the expenditure.
URI: http://hdl.handle.net/10045/122906
ISSN: 1660-4601
DOI: 10.3390/ijerph19074219
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Revisión científica: si
Versión del editor: https://doi.org/10.3390/ijerph19074219
Aparece en las colecciones:INV - BALMIS - Artículos de Revistas

Archivos en este ítem:
Archivos en este ítem:
Archivo Descripción TamañoFormato 
ThumbnailCompany-Sancho_etal_2022_IntJEnvironResPublicHealth.pdf680,84 kBAdobe PDFAbrir Vista previa


Este ítem está licenciado bajo Licencia Creative Commons Creative Commons