BackgroundMultimorbidity is a major challenge for healthcare systems. However, currently, its magnitude and impact in healthcare expenditures is still mostly unknown.ObjectiveTo present an overview of the prevalence and costs of multimorbidity by socioeconomic levels in the whole Basque population.MethodsWe develop a cross-sectional analysis that includes all the inhabitants of the Basque Country (N = 2,262,698). We utilize data from primary health care electronic medical records, hospital admissions, and outpatient care databases, corresponding to a 4 year period. Multimorbidity was defined as the presence of two or more chronic diseases out of a list of 52 of the most important and common chronic conditions given in the literature. We also use socioeconomic and demographic variables such as age, sex, individual healthcare cost, and deprivation level. Predicted adjusted costs were obtained by log-gamma regression models.ResultsMultimorbidity of chronic diseases was found among 23.61% of the total Basque population and among 66.13% of those older than 65 years. Multimorbid patients account for 63.55% of total healthcare expenditures. Prevalence of multimorbidity is higher in the most deprived areas for all age and sex groups. The annual cost of healthcare per patient generated for any chronic disease depends on the number of coexisting comorbidities, and varies from 637 € for the first pathology in average to 1,657 € for the ninth one.ConclusionMultimorbidity is very common for the Basque population and its prevalence rises in age, and unfavourable socioeconomic environment. The costs of care for chronic patients with several conditions cannot be described as the sum of their individual pathologies in average. They usually increase dramatically according to the number of comorbidities. Given the ageing population, multimorbidity and its consequences should be taken into account in healthcare policy, the organization of care and medical research.
The COVID-19 outbreak has led to an unprecedented crisis in Spain
This paper examines the spread of COVID-19 and the policies and technologies used
A stringent confinement, paired with substantial reduction in mobility showed positive epidemiological results
Background: Education leads to better health-related decisions and protective behaviors, being especially important for patients with chronic conditions. Self-management education programs have been shown to be beneficial for patients with different chronic conditions and to have a higher impact on health outcomes than does didactic education. Objective: To investigate improvements in glycemic control (measured by glycated hemoglobin A1c) in patients with type 2 diabetes mellitus. Methods: Our comparative trial involved one group of patients receiving patient-centered education and another receiving didactic education. We dealt with selection bias issues, estimated the different impact of both programs, and validated our analysis using quantile regression techniques. Results: We found evidence of better mean glycemic control in patients receiving the patientcentered program, which engaged better patients. Nevertheless, that differential impact is nonmonotonic. Patients initially at the healthy range at the patient-centered program maintained their condition better. Patients close to, but not within, the healthy range benefited equally from attending either program. Patients with very high glycemic level benefited significantly more from attending the patient-centered program. Finally, patients with the worst initial glycemic control (far from the healthy range) improved equally their diabetic condition, regardless of which program they attended. Conclusions: Different patients are sensitive to different categories of education programs. The optimal, cost-effective design of preventative programs for patients with chronic conditions needs to account for the different impact in different "patient categories." This implies stratifying patients and providing the appropriate preventative education program, or looking for alternative policy implementations for unresponsive patients who have the most severe condition and are the most costly.
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