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Population Health Needs Assessment and Healthcare Services Use in a 3 Years Follow-Up on Administrative and Clinical Data: Results from the Brisighella Heart Study

Authors :
Sergio D'Addato
Elisa Grandi
Claudio Borghi
Martina Rosticci
Giulia Grossi
Arrigo F G Cicero
Cristina Baronio
Cicero AF
Rosticci M
D'Addato S
Baronio C
Grossi G
Grandi E
Borghi C.
Source :
High Blood Pressure & Cardiovascular Prevention. 21:45-51
Publication Year :
2013
Publisher :
Springer Science and Business Media LLC, 2013.

Abstract

INTRODUCTION: A large number of epidemiological trials clearly show the impact of the main cardiovascular disease risk factors in term of hospitalization and related cost, but relatively less frequently if this reflect the health needs of a given population. AIM: To develop a model for the health needs-assessment that will be applied to verify if and how the prevalence of some classical risk factors for cardiovascular disease predicts mortality and hospitalisation episodes at 3 years, and if it could express the health need of that population. The long-life clinical record of 1,704 subjects, recruited during the 2004 Brisighella Heart Study survey, has been monitored. We defined the health profile of these subjects at 2004 (based on clinical history, smoking and dietary habits, physical activity, drug use, anthropometric data, blood pressure, and hematological data) and then sampled data relative to their hospitalisations, mortality, and general medical assistance. RESULTS: Our results shows that age over 65 years (OR 4.08; 95 % CI 2.74-6.08), hypertension (OR 3.44; 95 % CI 2.36-5.01) and hypercholesterolemia (OR 1.33; 95 % CI 0.92-1.94) increase the probability to get hospitalised. Furthermore, the burden of care was defined and computed for our sample. Vascular and respiratory diseases [Burden of health care (Bc) = 24.5 and 36.5, respectively] are the most costly DRGs which means that the biggest part of our resources directed to cardiovascular patients were provided for these diagnoses. CONCLUSION: The application of the proposed model could help policy makers and researchers in directing resources and workforce in the treatment of cardiovascular diseases.

Details

ISSN :
11791985 and 11209879
Volume :
21
Database :
OpenAIRE
Journal :
High Blood Pressure & Cardiovascular Prevention
Accession number :
edsair.doi.dedup.....960a7b583361bfd5e83fdb20e3ef8c62