Analysing the Costs of Integrated Care: A Case on Model Selection for Chronic Care Purposes.
BACKGROUND
The objective of this study is to investigate whether the algorithm proposed by Manning and Mullahy, a consolidated health economics procedure, can also be used to estimate individual costs for different groups of healthcare services in the context of integrated care.


METHODS
A cross-sectional study focused on the population of the Baix Empordà (Catalonia-Spain) for the year 2012 (N = 92,498 individuals). A set of individual cost models as a function of sex, age and morbidity burden were adjusted and individual healthcare costs were calculated using a retrospective full-costing system. The individual morbidity burden was inferred using the Clinical Risk Groups (CRG) patient classification system.


RESULTS
Depending on the characteristics of the data, and according to the algorithm criteria, the choice of model was a linear model on the log of costs or a generalized linear model with a log link. We checked for goodness of fit, accuracy, linear structure and heteroscedasticity for the models obtained.


CONCLUSIONS
The proposed algorithm identified a set of suitable cost models for the distinct groups of services integrated care entails. The individual morbidity burden was found to be indispensable when allocating appropriate resources to targeted individuals.
Research group on health services and health outcomes (GRESSIRES) - Serveis de Salut Integrats Baix Empordà (SSIBE) and Universitat de Girona, ES.
Marc
M
Carreras
Research group on health services and health outcomes (GRESSIRES) - Serveis de Salut Integrats Baix Empordà (SSIBE), ES.
Inma
I
Sánchez-Pérez
Centre for research in health and economics (CRES) - Universitat Pompeu Fabra, ES.
Pere
P
Ibern
Research group on health services and health outcomes (GRESSIRES) - Serveis de Salut Integrats Baix Empordà (SSIBE), ES.
Jordi
J
Coderch
Research group on health services and health outcomes (GRESSIRES) - Serveis de Salut Integrats Baix Empordà (SSIBE), ES.
José María
JM
Inoriza
costs and cost analysis; delivery of health care; integrated; risk assessment