The hidden toll of the pandemic on nonrespiratory patients.

While many empirical studies have focused on the health consequences of COVID-19 for infected individuals, little attention has been given to its consequences for patients with nonrespiratory medical conditions. In this study, we apply machine learning and regression analysis techniques to complete-coverage administrative records of inpatient hospitalizations in Italy in 2012-2021 to investigate how the outbreak has impacted on the treatment of nonrespiratory patients in one of the countries most acutely affected by the pandemic. A comparison of hospital- and population-level excess deaths suggests that 53.7% of COVID-19 deaths occurred outside of hospitals. We interpret this as evidence of limited hospital resources, and we show that a higher number of hospital beds per capita is associated with a greater proportion of in-hospital deaths. We also document a 22.6% decrease in hospitalizations of nonrespiratory patients, more pronounced for patients in less severe conditions, and a conditional decrease of 0.5 days in the average length of stay for nonrespiratory patients. We attribute these changes to fear of infection and hospital resource limitations, and we show that the drop in admissions is more pronounced in areas that were more impacted by COVID-19 and had fewer hospital beds per capita. Our findings suggested that the pandemic's direct impact on infected individuals is just a fraction of the broader health losses in the population.

Non-Union Scoring System (NUSS): Is It Enough in Clinical Practice?

Introduction: Bone consolidation defects represent a real orthopedic challenge because of the absence of validated treatment guidelines that can assist the surgeon in his choices. The aim of this study is to evaluate the appropriateness of the Non-Union Scoring System NUSS treatment protocol in the management of long bone non-unions by comparing it to the experience-based therapeutic approach carried out in our facility. Materials and Methods: We conducted a comparative outcome study of a retrospective series of 89 patients surgically treated for long bone non-union in our facility vs. clinical results reported by Calori et al. obtained following the NUSS treatment protocol. Results: Radiographic healing was reached in 13/13 non-unions (100%) in group NUSS 1, in 58/62 (93.5%) in group NUSS 2, and in 13/14 (92.9%) in group NUSS 3. The mean time to radiographic healing was 5.69 ± 2.09 months in group 1, 7.38 ± 3.81 months in group 2 and 9.23 ± 2.31 months in group 3. 91% of patients in group I, 69% in group II and 48% in group III received what would be considered by the NUSS treatment protocol an "overtreatment", especially from a biological stand point. The comparative outcome analysis shows that our case series achieved significantly higher global healing rates (p value = 0.017) and shorter radiological healing times in groups NUSS 1 and 2 (p value < 0.001). Conclusion: From the results obtained, we can assume that the NUSS treatment protocol might underestimate the necessary therapies, particularly from a biological point of view.

Containing costs in the Italian local healthcare market.

We aim to investigate the cost containment effects of the creation in 2005 of agencies specifically responsible for all technical and administrative services within the regional healthcare system of the Tuscany region of Italy. We seek to contribute to the existing literature on the centralization and decentralization of purchases and technical services by assessing the amount of savings produced by these agencies at the intermediate level between local authorities and hospitals and the regional administration. We use the balances of all Italian local health authorities and hospital trusts combined with the synthetic control procedure to create from a donor pool of untreated units a weighted average of observations resembling the exposed units before and after the policy change in 2005. The magnitude of the effect is significant as the creation of these agencies is estimated to have reduced expenditures on auxiliary goods and contracted services by 6% in the period from 2006-2014. Moreover, we find that the cost reduction is not associated with a decrease in the provision of healthcare services and procedures to the general population or in the quality or efficiency of the regional healthcare system itself.

The effect of waiting times on demand and supply for elective surgery: Evidence from Italy.

Waiting times are a major policy concern in publicly funded health systems across OECD countries. Economists have argued that, in the presence of excess demand, waiting times act as nonmonetary prices to bring demand for and supply of health care in equilibrium. Using administrative data disaggregated by region and surgical procedure over 2010-2014 in Italy, we estimate demand and supply elasticities with respect to waiting times. We employ linear regression models with first differences and instrumental variables to deal with endogeneity of waiting times. We find that demand is inelastic to waiting times while supply is more elastic. Estimates of demand elasticity are between -0.15 to -0.24. Our results have implications on the effectiveness of policies aimed at increasing supply and their ability to reduce waiting times.