• Non ci sono risultati.

Self-reported infl uenza vaccination uptake in people with chronic diseases: data from Progressi delle Aziende Sanitarie per la Salute in Italia (PASSI)

N/A
N/A
Protected

Academic year: 2021

Condividi "Self-reported infl uenza vaccination uptake in people with chronic diseases: data from Progressi delle Aziende Sanitarie per la Salute in Italia (PASSI)"

Copied!
1
0
0

Testo completo

(1)

Meeting Abstracts

84 www.thelancet.com

Self-reported infl uenza vaccination uptake in people with

chronic diseases: data from Progressi delle Aziende Sanitarie

per la Salute in Italia (PASSI)

Francesco Venturelli, Giuliano Carrozzi, Letizia Sampaolo, Lara Bolognesi, Sandro Baldissera, Nicoletta Bertozzi, Stefano Campostrini, Benedetta Contoli, Gianluigi Ferrante, Maria Masocco, Valentina Minardi, Angelo D’Argenzio, Pirous F Moghadam, Luana Penna, Alberto Perra, Elisa Quarchioni, Mauro Ramigni, Massimo O Trinito, Stefania Salmaso, on behalf of the PASSI regional and corporate coordinators

Abstract

Background Infl uenza is an important public health problem, with potential severe consequences among people with chronic diseases. The aim of this study was to obtain reliable measures of seasonal infl uenza vaccine uptake in this population, otherwise not available in Italy.

Methods Progressi delle Aziende Sanitarie per la Salute in Italia (PASSI) is a nationwide surveillance system of health-related behaviours and acceptance of preventive interventions (including infl uenza immunisation) off ered by the Italian National Health Service. Data are collected with telephone interviews at local health unit level for supporting local activities. The survey sample is randomly selected from local health unit lists of adult residents. The trend of annual vaccine coverage since 2008 was estimated for people aged 18–64 years who reported having at least one chronic disease. To obtain a suffi cient sample size in subgroups, we analysed the characteristics of vaccinated people in the 2010–13 cumulative dataset. Univariate, multivariate, and logistic regression analyses were undertaken.

Findings In 2008–13, 13 659 individuals with at least one chronic disease were interviewed. Vaccination coverage fell signifi cantly from 29·7% (95% CI 27·2–32·4) in 2007–08 to 19·9% (18·0–22·1) in 2012–13. During 2010–13, the overall proportion of vaccinated people with a chronic disease was 25·6% (24·5–26·7). Vaccine coverage of people with diabetes (34·3%, 31·7–36·9) or cardiovascular diseases (31·8%, 29·6–34·2) was greater than that of people aff ected by renal failure, respiratory diseases, tumours, or chronic liver diseases (26·5% [22·5–30·7], 24·9% [23·2–26·7], 22·2% [20·0–24·6], and 20·6% [17·5–24·6], respectively). Vaccination coverage increased with age (from 13·1% [11·0–15·5] in the 18–34 year age group to 33·4% [31·9–35·1] in people aged 50–64 years); it was higher among people with a low educational level than among those with a high educational level, higher in those having economic diffi culties than in those with no economic diffi culties, and higher among Italian citizens than among non-citizens.

Interpretation In the past few years, prevalence of infl uenza vaccination in Italian adults with at least one chronic disease was well below the Ministry of Health's goal (75% minimum) and showed a downward trend. A major reason of this evolution is probably the changing public perception of the benefi ts and risks of vaccines. PASSI is a source of useful data not otherwise available for public health intervention.

Funding Italian Ministry of Health.

Contributors

FV and GC wrote the abstract with the help of SB and SS. LS carried out the statistical analysis with the assistance of LB, GF, and VM. SB, NB, SC, MM, AD, PFM, AP, EQ, MR, MOT, and SS developed the questionnaire and the analysis plan with the help of BC and LP. All authors have seen and approved the fi nal version of the abstract for publication.

Declaration of interests

We declare no competing interests.

Published Online

November 19, 2014

This Abstract has been corrected since print publication Specialization School of Hygiene and Preventive Medicine, University of Modena and Reggio Emilia, Modena, Italy (F Venturelli MD); Department of Public Health, AUSL Modena, Modena, Italy

(G Carrozzi MD, L Bolognesi MSc);

Department of Public Health, AUSL Modena and Ca’ Foscari University, Venice, Italy

(L Sampaolo MSc); National

Centre for Epidemiology, Surveillance and Health Promotion, Istituto Superiore di Sanità, Rome, Italy

(S Baldissera MD, B Contoli MSc, G Ferrante MD, M Masocco MSc, V Minardi MSc, L Penna MSc, A Perra MD, E Quarchioni MSc, S Salmaso MSc); Department of

Public Health, AUSL Cesena, Cesena, Italy (N Bertozzi MD); Department of Economics, Ca’ Foscari University, Venice, Italy

(Prof S Campostrini MSc);

Epidemiology and Prevention Services, ASL Caserta, Caserta, Italy (A D’Argenzio MD); Department of Health and Social Solidarity, Autonomous Province of Trento, Italy

(P F Moghadam MD);

Department of Prevention, ULSS 9 Treviso, Treviso, Italy

(M Ramigni MD); and

Department of Prevention, ASL Roma C, Rome, Italy

(M O Trinito MD) Correspondence to: Dr Francesco Venturelli, Department of Clinic and Diagnostic Medicine and Public Health, University of Modena and Reggio Emilia, via Campi 287, 41125, Modena, Italy

Riferimenti

Documenti correlati

As already anticipated in paragraph 3.2 about the communication within the luxury hospitality industry, the value proposition identifies the ways in which a company is

Nel caso specifico di questa tesi la necessità di generare in output i risultati della ricerca è legata alla possibilità di interrogare il database contenente i dati

It should be noted that despite the standardization of labor contracts concluded in the countries of the European Union, the legal regulation of an employment contract is

The properties of merger shocks, at least based on cosmological simulations, are expected to be fairly independent of the host cluster mass and on the merger configuration,

We found that 38 ± 2 per cent of our AGN sample analysed (178/469) present detected outflows, mostly blueshifted, and that the fraction of blue versus redshifted outflows in our

Gli effetti delle variabili Big-5 su HEL e HSL sono le stime del modello 3 interagendo le variabili di interesse... Note: Gli errori standard sono clusterizzati

Di ricevere in data odierna un account personale con ID presso il laboratorio InfoMec della Facoltà di Ingegneria di Modena e Reggio Emilia, sede di Modena. Con la

Cosa si studia: 60% di insegnamenti di ingegneria informatica (progettazione del software, di sistemi operativi e di basi di dati, sistemi multimediali, sistemi e applicazioni di