Literature DB >> 26427315

The need to improve implementation and use of lifestyle surveillance systems for planning prevention activities: an analysis of the Italian Regions.

B Unim1, C De Vito1, A Massimi1, E D'Andrea1, A Rosso1, P Villari2, C Marzuillo1.   

Abstract

OBJECTIVES: To describe the level of use of lifestyle surveillance systems in Italy and to identify predictors of their use by the Italian Regions for planning and monitoring purposes. STUDY
DESIGN: Data were extracted from the 19 Regional Prevention Plans (RPPs) and the health promotion and prevention projects included in them developed by the Italian Regions within the National Prevention Plan 2010-2013.
METHODS: The 19 RPPs and the 702 projects were appraised using a tool specifically developed for the purpose. Multiple logistic regression was performed to identify predictors of use of surveillance systems in the 359 projects that could use them.
RESULTS: The analysis of regional epidemiological contexts does not always rely upon surveillance system data and there were too few projects aimed at the maintenance and the development of these systems. Moreover, fewer than half of projects that could have used surveillance systems for planning and evaluation procedures actually did so, despite the potential value of these data. There was a statistically significant association between Regional Health Care Expenditure (RHCE) and the use of surveillance system data for planning and/or evaluation of the projects (OR 7.81, 95% CI 2.86-21.29).
CONCLUSIONS: Use of surveillance systems for regional prevention planning in Italy is not optimal due to late implementation, presence of different data collecting systems and RGDP inequalities. There is a pressing need for full implementation of surveillance systems to allow better definition of the priorities and objectives of public health interventions.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Keywords:  Italy; National prevention plan; Prevention; Recovery plan; Surveillance systems

Mesh:

Year:  2015        PMID: 26427315     DOI: 10.1016/j.puhe.2015.08.009

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


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