Study Protocol for the Residents' Mental Health Investigation, a Dynamic Longitudinal Study in Italy (ReMInDIt).

Medical residents constitute a vulnerable population susceptible to mental health disorders. In Italy, this was evident during the COVID-19 pandemic, when medical residents served on the front line and provided significant support to healthcare services. Therefore, the working group on "Public Mental Health" of the Medical Residents' Council of the Italian Society of Hygiene, Preventive Medicine, and Public Health (S.It.I.) designed the "Residents' mental health investigation, a dynamic longitudinal study in Italy" (ReMInDIt). This longitudinal study aims to assess the mental status of medical residents and to explore potential cause-effect relationships between risk/protective factors (identified among sociodemographic, residency program, and lifestyle characteristics) and mental health outcomes (anxiety and depressive symptoms). Data will be collected from a study population of 3615 residents enrolled in Italian residency programs in public health, occupational medicine, and forensic medicine through an online questionnaire that includes validated tools, requires 10 min for completion, and is disseminated by the residents' Councils. It will be followed by a follow-up administration after 12 months. The ReMInDIt study will play a significant role in generating evidence crucial for enhancing mental health services and promoting protective factors for the mental well-being of this important segment of healthcare professionals.

Social network characteristics and well-being in Italy: insights from the PHRASI Study.

Background: Mental well-being should be prioritized in public health as it represents a valuable resource for individuals and communities, influencing behavior, social cohesion and social inclusion. The support individuals receive from their social networks can have a significant impact on mental well-being. This study used data from the Public Health Residents' Anonymous Survey in Italy, a nationwide cross-sectional survey. The objective was to assess the level of well-being among the Public Health Residents and investigate the association between the social network characteristics and the well-being in this population. Study design: The current cross-sectional study targeted 1,600 public health residents enrolled in various Italian public health specialization schools between June 14 and July 26, 2022. Methods: Participants self-reported both functional and structural characteristics of social network. Well-being was assessed using the WHO-5 well-being index. Linear regression models, adjusted for age and sex, were applied to examine the association between WHO-5 score and social network characteristics. Results: Out of 379 participants, 51.5% reported bad well-being. Those with bad well-being are more likely women, experience lower peer-to-peer and supervisor support, face higher work-to-private life interference, and less frequently have a partner. Greater peer-to-peer support (ß=1.13, 95% CI=0.68; 1.57), and increased supervisor support (ß=1.26, 95% CI=0.86; 1.67), were associated with higher levels of well-being. Conversely, higher work-to-private life interference was associated with lower perceived well-being. Having a partner resulted in a better perceived well-being (ß=1.96, 95% CI=0.94; 2.98). In logistic regression analysis, higher peer-to-peer support (OR=0.68, 95% CI = 0.55;0.85) greater supervisor support (OR=0.60, 95% CI=0.49;0.74) and having a partner (OR=0.51, 95% CI = 0.32;0.82) were associated with reduced odds of bad well-being. Conversely, increased WLI was associated with higher odds of bad well-being (OR=1.47, 95% CI = 1.19;1.82). Conclusions: The characteristics of an individual's social network play a crucial role in her/his well-being and should be considered both in personal and professional contexts when aimed to enhance mental well-being in communities.

Social Network Characteristics and Depressive Symptoms of Italian Public Health Medical Residents: The Public Health Residents' Anonymous Survey in Italy (PHRASI).

Despite the high impact of the COVID-19 pandemic on social interactions and healthcare workers' (HWs') mental health, few studies have investigated the association between social network characteristics and HWs' mental health, particularly during the pandemic. Therefore, we aimed to assess the associations between public health residents' (PHRs') social network characteristics and depression. We used data from the Public Health Residents' Anonymous Survey in Italy (PHRASI), a nationwide cross-sectional study. Social network characteristics were self-reported. Depressive symptoms were assessed using the nine-item Patient Health Questionnaire. Linear and logistic models adjusted for age, sex, physical activity, and alcohol were used. A moderation analysis by sex was also performed. A total of 379 PHRs participated in the survey (58% females, median age of 30 years). More peer-to-peer (odds ratio OR = 0.62 (0.47-0.83)) and supervisor support (OR = 0.49 (0.36-0.68)), more social participation ((OR) = 0.36 95% CI (0.25-0.50)), and having a partner (OR = 0.49 (0.25-0.96)) were significantly associated with a lower risk of clinically relevant depressive symptoms. Work-to-private-life interference was significantly associated with a higher risk of clinically relevant depressive symptoms (OR = 1.77 (1.28-2.45)). Promoting a supportive work environment and social participation as well as reducing work-to-private life interference can contribute to reducing the high burden among PHRs.

Socio-Economic Factors Associated with Ethnic Disparities in SARS-CoV-2 Infection and Hospitalization.

BACKGROUND: There is evidence that non-Italians presented higher incidence of infection and worse health outcomes if compared to native populations in the COVID-19 pandemic. The aim of the study was to compare Italian- and non-Italian-born health outcomes, accounting for socio-economic levels. METHODS: We analyzed data relative to 906,463 people in Umbria (Italy) from 21 February 2020 to 31 May 2021. We considered the National Deprivation Index, the Urban-Rural Municipalities Index and the Human Development Index (HDI) of the country of birth. We used a multilevel logistic regression model to explore the influence of these factors on SARS-CoV-2 infection and hospitalization rates. Diagnosis in the 48 h preceding admission was an indicator of late diagnosis among hospitalized cases. RESULTS: Overall, 54,448 persons tested positive (6%), and 9.7% of them were hospitalized. The risk of hospital admission was higher among non-Italians and was inversely related to the HDI of the country of birth. A diagnosis within 48 h before hospitalization was more frequent among non-Italians and correlated to the HDI level. CONCLUSIONS: COVID-19 had unequal health outcomes among the population in Umbria. Reduced access to primary care services in the non-Italian group could explain our findings. Policies on immigrants' access to primary healthcare need to be improved.

Depressive Symptoms of Public Health Medical Residents during the COVID-19 Pandemic, a Nation-Wide Survey: The PHRASI Study.

Depression is a widespread condition, which increased during the COVID-19 pandemic among healthcare workers as well. The large workload of the pandemic response also affected Public Health Residents (PHRs) who played an important role in infection prevention and control activities. This work aims to assess depression in Italian PHRs, based on data collected through the PHRASI (Public Health Residents' Anonymous Survey in Italy) study. In 2022, 379 PHRs completed the self-administered questionnaire containing Patient Health Questionnaire-9 to evaluate clinically relevant depressive symptoms (PHQ-9 ≥ 10). Multivariate logistic regression shows that the intention (aOR = 3.925, 95% CI = (2.067-7.452)) and the uncertainty (aOR = 4.949, 95% CI = (1.872-13.086)) of repeating the test to enter another postgraduate school/general practitioner course and the simultaneous attendance of two traineeships (aOR = 1.832, 95% CI = (1.010-3.324)) are positively related with depressive symptoms. Conversely, the willingness to work in the current traineeship place (aOR = 0.456, 95% CI = (0.283-0.734)) emerged as a protective factor. Similar results were obtained considering mild-to-severe (PHQ-9 ≥ 5) depressive symptoms and/or stratifying by sex. The findings, suggesting the protective role of job satisfaction toward depression, might entail future interventions to improve the learning experience and promote work-life balance.

Impact of the COVID pandemic on mental health and training opportunities of Public Health Residents from 4 European countries: A cross-sectional study.

Objectives: There is little evidence on the impact of the COVID-19 pandemic on Public Health Residents' (PHR) mental health (MH). This study aims at assessing prevalence and risk factors for depression, anxiety and stress in European PHR during the COVID-19 pandemic. Methods: Between March and April 2021, an online survey was administered to PHR from France, Italy, Portugal and Spain. The survey assessed COVID-19 related changes in working conditions, training opportunities and evaluated MH outcomes using the Depression Anxiety Stress Scales-21. Multivariable logistic regressions were applied to identify risk factors. Results: Among the 443 respondents, many showed symptoms of depression (60.5%), anxiety (43.1%) and stress (61.2%). The main outcome predictors were: female gender for depression (adjOR = 1.59, 95%CI [1.05-2.42]), anxiety (adjOR = 2.03, 95%CI [1.33-3.08]), and stress (adjOR = 2.35, 95%CI [1.53-3.61]); loss of research opportunities for anxiety (adjOR = 1.94, 95%CI [1.28-2.93]) and stress (adjOR = 1.98, 95%CI [1.26-3.11]); and COVID-19 impact on training (adjOR = 1.78, 95%CI [1.12-2.80]) for depression. Conclusions: The pandemic had a significant impact on PHR in terms of depression, anxiety and stress, especially for women and who lost work-related opportunities. Training programs should offer PHR appropriate MH support and training opportunities.

Public Health Residents' Anonymous Survey in Italy (PHRASI): Study Protocol for a Cross-Sectional Study for a Multidimensional Assessment of Mental Health and Its Determinants.

The COVID-19 pandemic has evolved into a severe psychosocial crisis affecting patients, their relatives, friends, and healthcare professionals. In Italy, public health residents (PHRs) remain essential to the national response to the pandemic. To assess their mental sphere, the "Public Mental Health" working group of the medical residents' Assembly of the Italian Society of Hygiene and Preventive Medicine has designed the Public Health Residents' Anonymous Survey in Italy (PHRASI). This is a nation-wide cross-sectional study based on an 88-item self-administered voluntary survey that evaluates how sociodemographic variables are associated with mental issues, including wellness, eating disorders, sleeplessness, alcohol misuse, depression, and anxiety. Data will be gathered by disseminating a Google Forms link across the Assembly network of medical residents. All PHRs enrolled in a four-year program in one of the Italian postgraduate schools of public health will be qualified as participants. PHRASI aims to draw a comprehensive and detailed picture of the mental health state of Italian PHRs. PHRs are a significant group of healthcare professionals that may serve as a future benchmark for developing and enacting regulations intended to support the mental health of healthcare professionals.

The Role of Gender in the Association between Mental Health and Potentially Preventable Hospitalizations: A Single-Center Retrospective Observational Study.

Psychiatric disorders and substance abuse are barriers that limit access to timely treatment and can lead to Potentially Preventable Hospitalizations (PPH). The aim of this study is to identify the role played by gender in the association between mental health and PPH. Hospital discharge records (HDRs) from the Local Health Authority of Pescara (Italy) from 2015 to 2021 were examined and PPH were measured according to Prevention Quality Indicators (PQIs) provided by the Agency for Healthcare Research and Quality. In total, 119,730 HDRs were eligible for the study and 21,217 patients fell into the PQI categories. Mental health disorders and addictions were extracted from the HDRs through the Elixhauser Enhanced ICD-9-CM algorithm. The association between PQI hospitalization and some predictors considered was evaluated with multivariate logistic regression models. In males and females, alcohol abuse showed a protective role towards preventable admissions for PQI-90 (all types of conditions) and PQI-92 (chronic conditions). In contrast, there is a gender gap in accessibility to primary health care, especially for acute conditions leading to PPH. Indeed, in males, PQI-91 admissions for acute conditions were found to be positively associated with drug abuse, psychosis, and depression, whereas this was not the case for females.