Special Issue "Addressing the Growing Burden of Chronic Diseases and Multimorbidity: Characterization and Interventions"

Special Issue Editors

Dr. Maria João Forjaz
E-Mail Website
Guest Editor
National Centre of Epidemiology, Institute of Health Carlos III, REDISSEC. Monforte de Lemos 5, Pabellón 12, 28029 Madrid, Spain
Interests: patient reported outcomes; multimorbidity; older adults; quality of life; comorbidity
Special Issues and Collections in MDPI journals
Dr. Antonio Gimeno-Miguel
E-Mail Website
Guest Editor
Aragon Health Sciences Institute (IACS), Institute for Health Research Aragón (IIS Aragón), EpiChron Research Group, REDISSEC, Miguel Servet University Hospital, Zaragoza, Spain.
Interests: epidemiology; public health; chronic diseases; multimorbidity; real-world data
Special Issues and Collections in MDPI journals
Prof. Dr. Julián Librero López
E-Mail Website
Guest Editor
Research Centre of the Government of Navarra and the Public University of Navarra (Navarrabiomed), REDISSEC. Complejo Hospitalario de Navarra, Edificio de investigación, Irunlarrea 3, 31008 Pamplona, Spain
Interests: multimorbidity; pharmacoepidemiology; health care evaluation; causal inferences; real-world data; public health

Special Issue Information

Dear Colleagues,

The aging of the population is resulting in an unprecedented accumulation of chronic conditions that usually coexist in a single individual. Multimorbidity poses a challenge for patients, caregivers, and health systems worldwide, as it requires a paradigm shift from disease-centered to person-centered care.

Although considerable research effort has been conducted during the past two decades to describe the epidemiology and impact on the health of multimorbidity, there are still some gaps that remain to be filled. In this context, the increasing availability of electronic health records (what is now known as real-world data) for research purposes represents an opportunity to conduct large-scale population-based studies on chronic diseases and multimorbidity. However, the use of large databases also presents some challenges for researchers and clinicians concerning data curation and management, study design, and statistical analyses, which have rapidly evolved from traditional statistical techniques to artificial intelligence and machine learning algorithms.

It is also essential to evaluate any experiences of care reorientation that face the reality of fragility derived from comorbidity, and to design, implement, and assess specific care models and interventions for people with multiple chronic conditions.

In this Special Issue, we are looking for both observational and intervention studies on the multimorbidity and comorbidity of major chronic diseases to help in the characterization and clinical management of this public health problem. Reviews on this topic and methodological papers on the use of real-world data for the study of multimorbidity are also welcome.

We are looking forward to your contribution to this Special Issue.

Dr. Maria João Forjaz
Dr. Antonio Gimeno-Miguel
Prof. Dr. Julián Librero López
Guest Editors

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  • multimorbidity
  • comorbidity
  • chronic diseases
  • real-world data
  • real-world evidence
  • intervention

Published Papers (1 paper)

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Quality-of-Life Determinants in People with Diabetes Mellitus in Europe
Int. J. Environ. Res. Public Health 2021, 18(13), 6929; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18136929 - 28 Jun 2021
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This study aims to analyze self-perceived health and lifestyles in the European Union Member States Iceland, Norway, and the United Kingdom, examining associations with diabetes prevalence; and to identify the demographic, economic and health variables associated with diabetes in this population. We performed [...] Read more.
This study aims to analyze self-perceived health and lifestyles in the European Union Member States Iceland, Norway, and the United Kingdom, examining associations with diabetes prevalence; and to identify the demographic, economic and health variables associated with diabetes in this population. We performed a cross-sectional study of 312,172 people aged 15 years and over (150,656 men and 161,516 women), using data collected from the European Health Interview Survey (EHIS). The EHIS includes questions on the health status and health determinants of the adult population, as well as health care use and accessibility. To estimate the magnitudes of the associations with diabetes prevalence, we fitted multivariate logistic models. The EHIS data revealed a prevalence of diabetes in Europe of 6.5% (n = 17,029). Diabetes was associated with being physically inactive (OR 1.14; 95% CI 1.02–1.28), obese (OR 2.75; 95% CI 2.60–2.90), male (OR 1.46; 95% CI 1.40–1.53) and 65–74 years old (OR 3.47; 95% CI 3.09–3.89); and having long-standing health problems (OR 7.39; 95% CI, 6.85–7.97). These results were consistent in the bivariate and multivariate analyses, with an area under the receiver operating characteristic curve of 0.87 (95% CI 0.87–0.88). In a large European health survey, diabetes was clearly associated with a poorer perceived quality of life, physical inactivity, obesity, and other comorbidities, as well as non-modifiable factors such as older age and male sex. Full article
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