Downgraded dreams: Labor market outcomes and mental health in undocumented migration.

Undocumented immigrant workers are particularly exposed to mental health risk factors, including occupational downgrading - i.e. the loss in occupational status upon arrival. This study breaks new ground by examining the relationship between occupational downgrading and mental health among this hard-to-reach population, offering the first-ever investigation of its kind. Leveraging a unique dataset collected by a primary care outpatient clinic in Milan, Italy, which combines medical evaluations with detailed occupational information, we construct a direct measure of occupational downgrading, which adds to the literature. We employ logistic regression models to estimate odds ratios (ORs) for mental and behavioral disorders. The study also offers fresh evidence on the socioeconomic and health status of a sizable sample of undocumented migrants. The study sample consists of 1738 individuals that had their first medical examination in 2017-18. Prevalence of mental health conditions is 5.58%. Data also highlight poor labor market integration: one third of individuals in the sample is employed, mostly in elementary occupations; 66.63% of immigrant workers experienced occupational downgrading. Regression results show that undocumented immigrants who undergo occupational downgrading are at considerably higher risk of mental disorders. ORs range from 1.729 (95% CI 1.071-2.793), when the model only includes individual characteristics determined prior to migration, to 2.659 (CI 1.342-5.271), when it accounts for all the available controls. From a policy perspective, our study underscores the need to consider the broader impact of policies, including restrictive entry and integration policies, on migrant health. Additionally, ensuring access to primary care for all immigrants is crucial for early detection and treatment of mental health conditions.

Avoidable hospitalizations and access to primary care: comparisons among Italians, resident immigrants and undocumented immigrants in administrative hospital discharge records.

Background: Immigrants face multiple barriers in accessing healthcare; however, empirical assessment of access presents serious methodological issues, and evidence on undocumented immigrants is scant and based mainly on non-representative samples. We examine avoidable hospitalization (AH) as an indicator of poor access to primary care (PC) in Italy, where a universal healthcare system guarantees access but fails to assign general practitioners to undocumented immigrants. Methods: Using anonymized national hospital discharge records in 2019, undocumented immigrants were identified through an administrative financing code. Potential effects of poor access to PC were measured by focusing on the incidence of AH, differentiated among chronic, acute and vaccine-preventable conditions, comparing Italian citizens, documented (foreign nationals with residence permits) and undocumented immigrants. We estimated odd ratios (ORs) through logistic regression models, controlling for individual and contextual confounders. Findings: Compared with Italians, undocumented and documented immigrants adjusted odd ratios (OR) for the risk of AH were 1·422 (95% CI 1·322-1·528) and 1·243 (95% CI 1·201-1·287), respectively. Documented immigrants showed ORs not significantly greater than 1 for AH due to chronic diseases compared with Italians, while undocumented immigrants registered higher adjusted OR for all AH categories - chronic (OR 1·187; 95% CI 1·064-1·325), acute (OR 1·645; 95% CI 1·500-1·803) and vaccine-preventable (OR 2·170; 95% CI 1·285-3·664). Interpretation: Documented and undocumented immigrants face considerably higher risk of AH compared to Italians. Considering the burden of AHs, access to PC (including preventive and ambulatory care) should be provided to undocumented immigrants, and additional barriers to care for all immigrants should be further explored. Funding: None.

Health care for undocumented immigrants during the early phase of the Covid-19 pandemic in Lombardy, Italy.

Despite concern on the impact of coronavirus disease 2019 (COVID-19) pandemic on undocumented immigrants, quantitative evidence on the issue is scant. We analyze socioeconomic and health conditions of 1590 undocumented immigrants in Milan, Lombardy, one of the regions with the highest COVID-19 clinical burden in the world that does not guarantee access to primary care for these individuals. We document a sharp reduction in visit number after lockdown, with 16% frequency of acute respiratory infections, compatible with COVID-19. Moreover, housing conditions make it difficult to implement public health measures. Results suggest the need to foster primary care by undocumented immigrants to face COVID-19 emergency.

Social networks, information and health care utilization: evidence from undocumented immigrants in Milan.

This paper uses a novel dataset and research design to examine the effects of information networks on immigrants' access to health care. The dataset consists of an unusually large sample of undocumented immigrants and contains a direct indicator of information networks-whether an immigrant was referred to health care opportunities by a strong social tie (relative or friend). This measure allows to overcome some of the major identification issues that afflict most of the existing literature on network effects and to concentrate on one of the channels through which social contacts might operate. The analysis focuses on the time spent in Italy before an immigrant first receives medical assistance. Estimates indicate that networks significantly foster health care utilization: after controlling for all available individual characteristics and for ethnic heterogeneity, I find that relying on a strong social tie reduces the time to visit by 30%. The effect of information networks is stable across specifications and it is relatively large. Further investigation seems to confirm the quantitative importance of networks as an information device.