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Special Issue "Secondary Health Data for Monitoring Chronic Health Conditions and Assessing Healthcare Performances"

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Care Sciences & Services".

Deadline for manuscript submissions: 31 March 2023 | Viewed by 652

Special Issue Editors

Prof. Dr. Edlira Skrami
E-Mail Website
Guest Editor
Centre of Epidemiology, Biostatistics and information technology, Università Politecnica delle Marche, Via Tronto, 10/A, Ancona, Italy
Interests: biostatistics; epidemiological studies; secondary health data; chronic diseases; disease determinants; healthcare assessment
Dr. Davide Sisti
E-Mail Website
Assistant Guest Editor
Department of Biomolecular Sciences, Service of Biostatistics, University of Urbino Carlo Bo, Piazza Rinascimento, 7, Urbino, Italy
Interests: biostatistics; nucleic acid quantification; epidemiology; sports health; nutrition
Prof. Dr. Rosaria Gesuita
E-Mail Website
Assistant Guest Editor
Centre of Epidemiology, Biostatistics and information technology, Università Politecnica delle Marche, Via Tronto, 10/A, Ancona, Italy
Interests: biostatistics; epidemiology; secondary health data; chronic diseases; disease determinants; health disparities; frailty

Special Issue Information

Dear Colleagues,

Chronic diseases are a threat to people’s health and to the sustainability of health organisations. Despite the considerable amount of research conducted during the past few decades to describe the epidemiology and the impact on the health of chronic diseases, because of the population aging, the disease burden and multimorbidity have increased, leading to higher patient frailty. Therefore, new evidence is needed to assess the impact of chronicity in the population, its evolution over time, the impact of new technologies in disease management and to design appropriate adaptation to health policies. In this context, the availability of health data from secondary sources, such as administrative or healthcare utilization databases, medical record databases, population-based disease registries, hospital-based disease registries, health surveys, represents a useful tool to estimate disease burden and monitoring and assessing healthcare interventions. The large population covered, the continuity and timeliness of data availability, low cost, and applicability for studying real-world practice are characteristics that have contributed to the increased use of these secondary data sources in epidemiological studies. On the other hand, challenges in using these data and strategies to improve their usefulness concern the quality of the data and the application of rigorous and standardized methodology for planning and conducting observational studies, which are rapidly evolving.

This Special Issue of IJERPH is addressed to studies using secondary health data for monitoring chronic health conditions, analysing their determinants, and evaluating healthcare interventions in chronic patients.

Prof. Dr. Edlira Skrami
Dr. Davide Sisti
Prof. Dr. Rosaria Gesuita
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • secondary health databases
  • chronic diseases
  • real-world evidence
  • real-world data
  • methodology
  • epidemiology
  • disease burden
  • healthcare assessment
  • healthcare monitoring
  • value-based healthcare
  • cost-effectiveness

Published Papers (1 paper)

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Research

Article
Clinical Network for Big Data and Personalized Health: Study Protocol and Preliminary Results
Int. J. Environ. Res. Public Health 2022, 19(11), 6365; https://doi.org/10.3390/ijerph19116365 - 24 May 2022
Viewed by 373
Abstract
The use of secondary hospital-based clinical data and electronical health records (EHR) represent a cost-efficient alternative to investigate chronic conditions. We present the Clinical Network Big Data and Personalised Health project, which collects EHRs for patients accessing hospitals in Central-Southern Italy, through an [...] Read more.
The use of secondary hospital-based clinical data and electronical health records (EHR) represent a cost-efficient alternative to investigate chronic conditions. We present the Clinical Network Big Data and Personalised Health project, which collects EHRs for patients accessing hospitals in Central-Southern Italy, through an integrated digital platform to create a digital hub for the collection, management and analysis of personal, clinical and environmental information for patients, associated with a biobank to perform multi-omic analyses. A total of 12,864 participants (61.7% women, mean age 52.6 ± 17.6 years) signed a written informed consent to allow access to their EHRs. The majority of hospital access was in obstetrics and gynaecology (36.3%), while the main reason for hospitalization was represented by diseases of the circulatory system (21.2%). Participants had a secondary education (63.5%), were mostly retired (25.45%), reported low levels of physical activity (59.6%), had low adherence to the Mediterranean diet and were smokers (30.2%). A large percentage (35.8%) were overweight and the prevalence of hypertension, diabetes and hyperlipidemia was 36.4%, 11.1% and 19.6%, respectively. Blood samples were retrieved for 8686 patients (67.5%). This project is aimed at creating a digital hub for the collection, management and analysis of personal, clinical, diagnostic and environmental information for patients, and is associated with a biobank to perform multi-omic analyses. Full article
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Integrating administrative health care sources with clinical and instrumental data: the experience of the Observatory of Cardiovascular Diseases.
Authors: Giulia Barbati 1, Arjuna Scagnetto 2, Caterina Gregorio 1, Giovanni Baj 3, Ilaria Gandin 1, Giulia Russo 2, Giorgio Faganello 2, Chiara Cappelletto 2, Annamaria Iorio 4, Andrea Di Lenarda 2
Affiliation: 1 Biostatistics Unit, Department of Medical Sciences, University of Trieste, Trieste, Italy 2 Cardiovascular Center, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), Trieste, Italy 3 Department of Mathematics and Geoscience, University of Trieste, Trieste, Italy 4 Cardiology Unit, Papa Giovanni XXIII Hospital Bergamo, Italy
Abstract: Over the last decades an increasing interest in integrating administrative healthcare data with clinical informations from Electronic Health Records (EHR) has been observed in the epidemiological community. The advantages of this integration reside mainly in the spatio-temporal coverage at a community-based level and the data availability at a relatively low cost, when obstacles related to data access are overcome. The main challenges are related to the identification of the target population and the risk of exposure/disease misclassification. Variables of interest are in fact derived from complex algorithms based on the linkage of multiple sources, often in a longitudinal design. In the present work, the experience of the Cardiovascular Observatory located in the Friuli-Venezia-Giulia Region (north-east of Italy) is presented, together with a review of the principles and methods that have guided us. We also discuss our current challenge, i.e. integrating more heterogenous sources, like ECG (electrocardiogram) signals to the administrative-EHR tabular data with the aim to implement artificial intelligence (AI) tools to further enrich the diagnostic and prognostic epidemiological models.

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