Don't Call It Smart: Working From Home During the Pandemic Crisis.

The recent COVID-19 pandemic and related social distancing measures have significantly changed worldwide employment conditions. In developed economies, institutions and organizations, both public and private, are called upon to reflect on new organizational models of work and human resource management, which - in fact - should offer workers sufficient flexibility in adapting their work schedules remotely to their personal (and family) needs. This study aims to explore, within a Job Demands-Resources framework, whether and to what extent job demands (workload and social isolation), organizational job resources (perceived organizational support), and personal resources (self-efficacy, vision about the future and commitment to organizational change) have affected workers' quality of life during the pandemic, taking into account the potential mediating role of job satisfaction and perceived stress. Using data from a sample of 293 workers, we estimate measurement and structural models, according to the Item Response Theory and the Path analysis frameworks, which allow us to operationalize the latent traits and study the complex structure of relationships between the latent dimensions. We inserted in the model as control variables, the socio-economic and demographic characteristics of the respondents, with particular emphasis on gender differences and the presence and age of children. The study offers insights into the relationship between remote work and quality of life, and the need to rethink human resource management policies considering the opportunities and critical issues highlighted by working full-time remotely.

Use of Medications for the Treatment of Alcohol Dependence: A Retrospective Study Conducted in 2011-2012.

BACKGROUND: Pharmacotherapy for Alcohol Dependence (AD) is underutilized. Barriers preventing the use of AD medications include high prices, lack of access to prescribing physicians, and a limited number of available medications. OBJECTIVE: The study evaluated the use of AD medications in a sample of Italian outpatients who received these medications free of charge, had access to physicians during office hours, and for whom substitution therapy [gamma-hydroxybutyrate (GHB)] was available. We also evaluated the rate of patients who received a combination of non-pharmacological and pharmacological treatments among participants who were still drinking. METHODS: SCID for AD and questionnaire were filled by to AD outpatients during a face-to-face interview. RESULTS & DISCUSSION: 345 AD outpatients were interviewed: 58.8% were currently receiving at least one AD medication (GHB: 34.3%, disulfiram: 29.6%, acamprosate: 5.9%; naltrexone: 2.5%; more than one medication: 16.7%). Less than 30% of participants who were still drinking, received a combination of non-pharmacological and pharmacological treatments. Nonetheless, we found higher use of AD medications compared to previous studies conducted in other countries. This higher use of AD medications may be due to access to free medications, prescribing physicians' style, and a larger number of available medications. CONCLUSION: Our results confirm the underutilization of AD medications, as less than 60% of AD outpatients received medications, and less than 30% of those who were still drinking, received a combination of non-pharmacological and pharmacological treatments. These findings may be useful in improving our knowledge of the barriers that prevent the use of AD medications in clinical practice.

What drives patient mobility across Italian regions? Evidence from hospital discharge data.

This chapter examines patient mobility across Italian regions using data on hospital discharges that occurred in 2008. The econometric analysis is based on Origin-Destination (OD) flow data. Since patient mobility is a crucial phenomenon in contexts of hospital competition based on quality and driven by patient choice, as is the case in Italy, it is crucial to understand its determinants. What makes the Italian case more interesting is the decentralization of the National Health Service that yields large regional variation in patient flows in favor of Centre-Northern regions, which typically are 'net exporters' of hospital treatments. We present results from gravity models estimated using count data estimators, for total and specific types of flows (ordinary admissions, surgical DRGs and medical DRGs). We model cross-section dependence by specifically including features other than geographical distance for OD pairs, such as past migration flows and the share of surgical DRGs. Most of the explanatory variables exhibit the expected effect, with distance and GDP per capita at origin showing a negative impact on patient outflows. Past migrations and indicators of performance at destination are effective determinants of patient mobility. Moreover, we find evidence of regional externalities due to spatial proximity effects at both origin and destination.

A country for old men? Long-term home care utilization in Europe.

This paper investigates long-term home care utilization in Europe. Data from the first wave of the Survey on Health, Ageing and Retirement (SHARE) on formal (nursing care and paid domestic help) and informal care (support provided by relatives) are used to study the probability and the quantity of both types of care. The overall process is framed in a fully simultaneous equation system that takes the form of a bivariate two-part model where the reciprocal interaction between formal and informal care is estimated. Endogeneity and unobservable heterogeneity are addressed using a common latent factor approach. The analysis of the relative impact of age and disability on home care utilization is enriched by the use of a proximity to death (PtD) indicator built using the second wave of SHARE. All these indicators are important predictors of home care utilization. In particular, a strong significant effect of PtD is found in the paid domestic help and informal care models. The relationship between formal and informal care moves from substitutability to complementarity depending on the type of care considered, and the estimated effects are small in absolute size. This might call for a reconsideration of the effectiveness of incentives for informal care as instruments to reduce public expenditure for home care services.

Mortality, lifestyle and socio-economic status.

This paper uses the British Health and Lifestyle Survey (1984-1985) data and the longitudinal follow-up of May 2003 to investigate the determinants of premature mortality in Great Britain and the contribution of lifestyle choices to socio-economic inequality in mortality. A behavioural model, which relates premature mortality to a set of observable and unobservable factors, is considered. A maximum simulated likelihood (MSL) approach for a multivariate probit (MVP) is used to estimate a recursive system of equations for mortality, morbidity and lifestyles. Health inequality is explored using the Gini coefficient and a decomposition technique. The decomposition analysis for predicted mortality shows that, after allowing for endogeneity, lifestyles contribute strongly to inequality in mortality, reducing the direct role of socio-economic status. This contradicts the view, which is widely held in epidemiology, that lifestyles make a relatively minor contribution to observed socio-economic gradients in health.