Private health care expenditure and quality in Beveridge systems: Cross-regional differences in the Italian NHS

Vecchio, Mario Del; Fenech, Lorenzo; Prenestini, Anna

doi:10.1016/j.healthpol.2014.10.014

Cited by 18 publications

(11 citation statements)

References 35 publications

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“…Results concerning family income and educational level are consistent with previous research, involving both Italy [7,[16][17][18] and other countries where a NHS is implemented, showing that the probability of using private care [19][20][21][22] and taking out a private health insurance [23][24][25][26][27] increases with income and education.…”

Section: Plos Onesupporting

confidence: 88%

Sociodemographic and health service organizational factors associated with the choice of the private versus public sector for specialty visits: Evidence from a national survey in Italy

et al. 2020

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Introduction Although Italy's NHS is funded through general taxation, the private sector plays an important role in health service provision and financing. The aim of this paper was to identify the sociodemographic and health service organizational factors associated with the propensity to seek specialist care in the private sector. Materials and methods Data were retrieved from the national Istat survey "Health conditions and use of health services" carried out in 2012-2013. We selected adults with a specialty visit in the previous 12 months in the four most frequent medical specialties: ophthalmology, cardiology, obstetrics/ gynecology and orthopedics. The study outcome was the choice to use a private service. In order to investigate the determinants of private use, we adopted the socio-behavioral model by Andersen and Newman, making a distinction between sociodemographic and healthcare organizational factors. The associations with the outcome were analyzed using chi-squared test, t-test and multivariable logistic regression analysis. Results and discussion Use of private care varied widely, from 26.3% for cardiology to 53.6% for obstetrics/gynecology. Females, patients with higher educational levels and patients with higher self-reported economic resources sought more frequently private healthcare for all specialties; younger patients and employed patients were more likely to seek private care for ophthalmic conditions. Exemption from copayment for public services reduced more than half the propensity to seek private care. Trust in this healthcare service was the main reason for private users (52.5%) followed by waiting time (26.7%) and physician choice (20.1%).

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Section: Plos Onesupporting

confidence: 88%

Sociodemographic and health service organizational factors associated with the choice of the private versus public sector for specialty visits: Evidence from a national survey in Italy

et al. 2020

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“…Even in regions that are geographically adjacent and entirely comparable in socio-economic terms, there are decades of differences in regional and corporate health policies [ 56 , 57 ], which, for example, concern the more or less extensive presence of private providers in the regional health organization or the different relationships between commissioners and providers, but it is not the purpose of this study to go into in depth. [ 58 , 59 ].…”

Section: Discussionmentioning

confidence: 99%

Dealing with COVID-19 Epidemic in Italy: Responses from Regional Organizational Models during the First Phase of the Epidemic

Specchia

Pilla

Sapienza

et al. 2021

IJERPH

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As the COVID-19 outbreak traveled through various Italian regions, all national and local administrations issued measures to counter the spread of the contagion and organize healthcare. The Italian healthcare system is, indeed, a decentralized system with 21 regional health systems (RHSs), with different models of healthcare service delivery and organization. This study investigates whether a different organization of RHSs would have led to different management of the COVID-19 epidemic, and evaluates the effect of different approaches in epidemic management on the COVID-19 epidemiological trend. A set of indicators is identified by conducting an online synchronous Focus Group, involving an experts panel. A Pearson’s correlation test was performed on the values assumed by the historical series of indicators investigate correlations among the trends represented by the indicators or between them and external factors. The comparison between the experiences of the different Italian regions, regarding the management of the epidemic, has helped to confirm and emphasize the importance of a community-based approach in health care—integrated with the hospital’s functions for the care of complex conditions and the need for specialized assistance.

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“…Although we did not identify any significant differences in term of the key survey estimates across the four geographical regions, it is not uncommon for regional differences in various health service parameters to exist. Quality and resource levels, for instance, are two variables often found to vary widely by geography (Del Vecchio, Fenech, & Prenestini, 2015; Krim et al, 2011; Laskey et al, 2010). Hence, a good level of understanding of the survey content and setting is of critical importance.…”

Section: Discussionmentioning

confidence: 99%

The Association Between Hospital Characteristics and Nonresponse in an Organization Survey: An Analysis of the National Healthcare Establishment and Workforce Survey in Malaysia

2017

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In any survey where some of the invited participants fail to respond estimates may be biased. The literature on survey nonresponse is substantial, and the intellectual focus has typically been on the nonresponse of individuals. An important yet less scrutinized area in the analysis of nonresponse is in organizational surveys, particularly surveys of health-care organizations. This study used data from the 2010 National Healthcare Establishment and Workforce Survey in Malaysia to examine the relationship between a set of measurable hospital attributes and their probability of survey response and the relationship between this probability and the differences in survey estimates. We found that readily measurable hospital characteristics such as size and geographical location are useful predictors of survey response likelihood. Larger hospitals and hospitals located in less developed geographical regions responded more favorably than their counterparts. We have also illustrated that the resulting response pattern affected some key survey estimates. These findings have the potential to extend our understanding of nonresponse to organization surveys in the health-care sector, potentially allow for the prediction of nonresponse, and help researchers to identify profiles of "reluctant responders" before a survey commences, so that additional engagement strategies may be used.

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Private health care expenditure and quality in Beveridge systems: Cross-regional differences in the Italian NHS

Cited by 18 publications

References 35 publications

Sociodemographic and health service organizational factors associated with the choice of the private versus public sector for specialty visits: Evidence from a national survey in Italy

Sociodemographic and health service organizational factors associated with the choice of the private versus public sector for specialty visits: Evidence from a national survey in Italy

Dealing with COVID-19 Epidemic in Italy: Responses from Regional Organizational Models during the First Phase of the Epidemic

The Association Between Hospital Characteristics and Nonresponse in an Organization Survey: An Analysis of the National Healthcare Establishment and Workforce Survey in Malaysia

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