Applications for social security benefits related to diabetes in the working age in Italy between 2009 and 2019: a nationwide retrospective cohort study

OBJECTIVES

The aim of this study is to estimate the average number of claims for social security benefits from workers with diabetes-related disability.

DESIGN

Nationwide retrospective cohort study.

SETTING

The database of the Italian Social Security Institute (INPS) was used to analyse the trends and the breakdown of all claims for social security benefit with diabetes as primary diagnosis from 2009 to 2019.

PARTICIPANTS

We selected all the applications with the 250.xx International Classification of Diseases, Ninth Revision-CM diagnosis code from 2009 to 2019.

PRIMARY AND SECONDARY OUTCOME MEASURES

The ratio between accepted or rejected claims for both ordinary incapacity benefit (OIB) and disability pension (DP) and total submitted claims over a 10-year period was computed.

RESULTS

From 2009 to 2019, 40 800 applications for social security benefits were filed with diabetes as the principal diagnosis, with an annual increase of 30% per year. Throughout the study decade, there was a higher rate of rejected (67.2%) than accepted (32.8%) applications. Among the accepted requests, most of them (30.7%) were recognised as OIB and the remaining 2.1% were recognised as DP. When related to the total number of claims presented per year, there was a 8.8% decrease of rejected applications, associated with a 20.6% increase of overall acceptance rate. In terms of time trends, the overall rise of submitted requests from 2009 to 2019 resulted in an increase in both rejected (+18%) and accepted (+61% for OIB, +11% for DP) applications. The higher rate of accepted requests was for workers aged 51-60 years, with 52% of admitted applications.

CONCLUSIONS

Between 2009 and 2019, the number of applications for social security benefits due to diabetes in Italy increased significantly, and so did the number of applications approved, mainly represented by the OIBs.

Intention to Be Vaccinated for COVID-19 among Italian Nurses during the Pandemic

BACKGROUND

While the COVID-19 pandemic has spread globally, health systems are overwhelmed by both direct and indirect mortality from other treatable conditions. COVID-19 vaccination was crucial to preventing and eliminating the disease, so vaccine development for COVID-19 was fast-tracked worldwide. Despite the fact that vaccination is commonly recognized as the most effective approach, according to the World Health Organization (WHO), vaccine hesitancy is a global health issue.

METHODS

We conducted a cross-sectional online survey of nurses in four different regions in Italy between 20 and 28 December 2020 to obtain data on the acceptance of the upcoming COVID-19 vaccination in order to plan specific interventions to increase the rate of vaccine coverage.

RESULTS

A total of 531 out of the 5000 nurses invited completed the online questionnaire. Most of the nurses enrolled in the study (73.4%) were female. Among the nurses, 91.5% intended to accept vaccination, whereas 2.3% were opposed and 6.2% were undecided. Female sex and confidence in vaccine efficacy represent the main predictors of vaccine intention among the study population using a logistic regression model, while other factors including vaccine safety concerns (side effects) were non-significant.

CONCLUSIONS

Despite the availability of a safe and effective vaccine, intention to be vaccinated was suboptimal among nurses in our sample. We also found a significant number of people undecided as to whether to accept the vaccine. Contrary to expectations, concerns about the safety of the vaccine were not found to affect the acceptance rate; nurses' perception of vaccine efficacy and female sex were the main influencing factors on attitudes toward vaccination in our sample. Since the success of the COVID-19 immunization plan depends on the uptake rate, these findings are of great interest for public health policies. Interventions aimed at increasing employee awareness of vaccination efficacy should be promoted among nurses in order to increase the number of vaccinated people.

Economic Impact of Schizophrenia from a Hospital and Social Security System Perspective in Italy

BACKGROUND

Schizophrenia is one of the mental disorders with the highest economic and social costs, with an important burden on patients, caregivers, and society.

OBJECTIVE

The objective of this study was to estimate the direct and social security costs of schizophrenia in Italy. As far as direct costs are concerned, those related to hospitalizations and pharmaceutical expenditure have been analyzed, while disability benefits (DBs) and incapacity pensions (IPs) have been considered for the social security costs.

METHODS

In order to provide annual economic burden of schizophrenia using the real-world data, we analyzed the main regional and national databases related to hospitalizations and pharmaceuticals. Hospitalizations have been analyzed considering the Hospital Information System, which collects all the information regarding hospital discharges from all public and private hospitals (psychiatric wards or residential facilities have not been considered). Hospitalizations with a discharge date between 2009 and 2016, and with a primary or secondary diagnosis of schizophrenia (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] code 295.xx) were selected. Hospital costs have been estimated considering the national tariffs associated with each selected hospitalization. In addition, using the same inclusion criteria, the average DBs (for workers with reduced working capacity) and IPs (for workers without working capacity) provided each year have been analyzed from the social security benefit applications database. The estimate of pharmaceutical expenditure was prepared based on the OsMed 2018 Report (Italian Medicines Agency, latest issue 18 July 2019). A one-way deterministic sensitivity analysis was conducted to examine the robustness of the results.

RESULTS

In Italy from 2009 to 2016, schizophrenia had an important economic impact from a social perspective. On average, 13,800 patients were hospitalized, with an average of 2.98 hospitalizations per patient. From a National Health Service (NHS) perspective and with specific reference to hospitalizations, the annual economic burden was €101.4 million, with an average cost per patient of €7338. On the other hand, pharmaceutical expenditure amounts to over €147 million each year, while residential, semi-residential, and specialist facilities amount to approximately €1 billion. Again, schizophrenia led to approximately 15,000 recipients of social security benefits (DBs and IPs) yearly from 2009 to 2015, with an average annual expenditure of €160.1 million (average cost per patient = €10,675).

CONCLUSIONS

Our study estimates an economic burden of schizophrenia of €1250 million per year in direct costs, of which 20% is related to hospitalizations and pharmaceutical expenditure. With regard to social security benefits, an average annual expenditure of €160.1 million was calculated (average cost per patient = €10,675).