%0 Generic %A López-Martínez, N. %A Segú, J.L. %A Vázquez-Castro, J. %A Brosa, M. %A Bohigas, L. %A Comellas, M.J. %A Kalfhaus, L. %D 2017 %T Analysis of the implementation of a personalized care model in diabetes mellitus as an example of chronic disease with information and communication technology support %U https://tandf.figshare.com/articles/dataset/Analysis_of_the_implementation_of_a_personalized_care_model_in_diabetes_mellitus_as_an_example_of_chronic_disease_with_information_and_communication_technology_support/4872656 %R 10.6084/m9.figshare.4872656.v1 %2 https://ndownloader.figshare.com/files/8117078 %2 https://ndownloader.figshare.com/files/8117084 %K Chronicity %K diabetes mellitus %K patient centred management %K web-based programs %K Spain %X

Introduction: Diabetes mellitus affects 13.8% of the adult population in Spain, representing some 8.2% of total Spanish health spending, which may be reduced by optimizing treatment and disease monitoring.

Areas covered: This perspective article aims to evaluate the possible clinical and economic outcomes of implementing a theoretical personalized care model in diabetes supported by information and communications technology in Spain vs. conventional care. Moreover, we assessed the value of emminens® eConecta, a solution designed to support the operational implementation of this model, which enables the connection and participation of patients and health professionals, facilitates patient education, decision-making, access to information, and data analysis. We carried out a review of the available evidence, consultations with experts and a clinical and cost estimation.

Expert commentary: The experts consulted considered that the proposed model is consistent with Spanish strategies on chronicity, supports the management of chronicity/diabetes, and may improve the most important aspects of disease management. In the literature, this type of care models improved or provided equal disease control compared with conventional care, potentiated self-management strategies and reduced the high use of resources. Cost estimation showed a reduction of −12% in total direct costs and around −34% in the costs of outpatient visits.

%I Taylor & Francis