Cargando…

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

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 expen...

Descripción completa

Detalles Bibliográficos
Autores principales: Company-Sancho, Maria Consuelo, González-Chordá, Víctor M., Orts-Cortés, María Isabel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8998451/
https://www.ncbi.nlm.nih.gov/pubmed/35409900
http://dx.doi.org/10.3390/ijerph19074219
_version_ 1784684946942590976
author Company-Sancho, Maria Consuelo
González-Chordá, Víctor M.
Orts-Cortés, María Isabel
author_facet Company-Sancho, Maria Consuelo
González-Chordá, Víctor M.
Orts-Cortés, María Isabel
author_sort Company-Sancho, Maria Consuelo
collection PubMed
description 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 η(2)) 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 η(2) (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% (R(2) = 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.
format Online
Article
Text
id pubmed-8998451
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-89984512022-04-12 Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain) Company-Sancho, Maria Consuelo González-Chordá, Víctor M. Orts-Cortés, María Isabel Int J Environ Res Public Health Article 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 η(2)) 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 η(2) (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% (R(2) = 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. MDPI 2022-04-01 /pmc/articles/PMC8998451/ /pubmed/35409900 http://dx.doi.org/10.3390/ijerph19074219 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Article
Company-Sancho, Maria Consuelo
González-Chordá, Víctor M.
Orts-Cortés, María Isabel
Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain)
title Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain)
title_full Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain)
title_fullStr Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain)
title_full_unstemmed Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain)
title_short Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain)
title_sort variability in healthcare expenditure according to the stratification of adjusted morbidity groups in the canary islands (spain)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8998451/
https://www.ncbi.nlm.nih.gov/pubmed/35409900
http://dx.doi.org/10.3390/ijerph19074219
work_keys_str_mv AT companysanchomariaconsuelo variabilityinhealthcareexpenditureaccordingtothestratificationofadjustedmorbiditygroupsinthecanaryislandsspain
AT gonzalezchordavictorm variabilityinhealthcareexpenditureaccordingtothestratificationofadjustedmorbiditygroupsinthecanaryislandsspain
AT ortscortesmariaisabel variabilityinhealthcareexpenditureaccordingtothestratificationofadjustedmorbiditygroupsinthecanaryislandsspain