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Abstract Background Only about half the people with depression seek professional health care services. To constitute the different predictors and associating variables of health care utilisation, we model the process and aim to test our hypothesised Seeking Mental Health Care Model. The model includes empirical influences on the help-seeking process to predict actual behaviour and incorporates superordinate (stigma, treatment experiences) as well as intermediate attitudinal variables (continuum and causal beliefs, depression literacy and self-efficacy). Method All variables are examined in an online study (baseline, three- and six-month follow-up). The sample consisted of adults with depressive symptoms (PHQ-9 sum score ≥ 8), currently not receiving mental health care treatment. To examine the prediction of variables explaining help-seeking behaviour, a path model analysis was carried out (lavaan package, software R). Results Altogether, 1368 participants (M age = 42.38, SD age = 15.22, 65.6% female) were included, 983 participating in at least one follow-up. Model fit was excellent (i.e., RMSEA = 0.059, CFI = 0.989), and the model confirmed most of the hypothesised predictions. Intermediary variables were significantly associated with stigma and experiences. Depression literacy (ß = .28), continuum beliefs (ß = .11) and openness to a balanced biopsychosocial causal model (ß = .21) significantly influenced self-identification (R 2 = .35), which among the causal beliefs and self-efficacy influenced help-seeking intention (R 2 = .10). Intention (ß = .40) prospectively predicted help-seeking behaviour (R 2 = .16). Conclusion The Seeking Mental Health Care Model provides an empirically validated conceptualisation of the help-seeking process of people with untreated depressive symptoms as a comprehensive approach considering internal influences. Implications and open questions are discussed, e.g., regarding differentiated assessment of self-efficacy, usefulness of continuum beliefs and causal beliefs in anti-stigma work, and replication of the model for other mental illnesses. Trial registration German Clinical Trials Register: DRKS00023557. Registered 11 December 2020. World Health Organization, Universal Trial Number: U1111–1264-9954. Registered 16 February 2021.

Abstract Background Income and housing are pervasive social determinants of health. Subsidized housing is a prominent affordability mechanism in Canada; however, waitlists are lengthy. Subsidized rents should provide greater access to residual income, which may theoretically improve health outcomes. However, little is known about the health of tenants who wait for and receive subsidized housing. This is especially problematic for New Brunswick, a Canadian province with low population density, whose inhabitants experience income inequality, social exclusion, and challenges with healthcare access. Methods This study will use a longitudinal, prospective matched cohort design. All 4,750 households on New Brunswick’s subsidized housing wait list will be approached to participate. The survey measures various demographic, social and health indicators at six-month intervals for up to 18 months as they wait for subsidized housing. Those who receive housing will join an intervention group and receive surveys for an additional 18 months post-move date. With consent, participants will have their data linked to a provincial administrative database of medical records. Discussion Knowledge of housing and health is sparse in Canada. This study will provide stakeholders with a wealth of health information on a population that is historically under-researched and underserved.

Background: Income and housing are pervasive social determinants of health. Subsidized housing is a prominent affordability mechanism in Canada; however, waitlists are lengthy. Subsidized rents should provide greater access to residual income, which may theoretically improve health outcomes. However, little is known about the health of tenants who wait for and receive subsidized housing. This is especially problematic for New Brunswick, a Canadian province with low population density, whose inhabitants experience income inequality, social exclusion, and challenges with healthcare access. Methods: This study will use a longitudinal, prospective matched cohort design. All 4,750 households on New Brunswick's subsidized housing wait list will be approached to participate. The survey measures various demographic, social and health indicators at six-month intervals for up to 18 months as they wait for subsidized housing. Those who receive housing will join an intervention group and receive surveys for an additional 18 months post-move date. With consent, participants will have their data linked to a provincial administrative database of medical records. Discussion: Knowledge of housing and health is sparse in Canada. This study will provide stakeholders with a wealth of health information on a population that is historically under-researched and underserved. [ABSTRACT FROM AUTHOR]

Abstract Background The individual factors associated to Frequent Users (FUs) in Emergency Departments are well known. However, the characteristics of their geographical distribution and how territorial specificities are associated and intertwined with ED use are limited. Investigating healthcare use and territorial factors would help targeting local health policies. We aim at describing the geographical distribution of ED’s FUs within the Paris region. Methods We performed a retrospective analysis of all ED visits in the Paris region in 2015. Data were collected from the universal health insurance’s claims database. Frequent Users (FUs) were defined as having visited ≥3 times any ED of the region over the period. We assessed the FUs rate in each geographical unit (GU) and assessed correlations between FUs rate and socio-demographics and economic characteristics of GUs. We also performed a multidimensional analysis and a principal component analysis to identify a typology of territories to describe and target the FUs phenomenon. Results FUs accounted for 278,687 (11.7%) of the 2,382,802 patients who visited the ED, living in 232 GUs. In the region, median FUs rate in each GU was 11.0% [interquartile range: 9.5–12.5]. High FUs rate was correlated to the territorial markers of social deprivation. Three different categories of GU were identified with different profiles of healthcare providers densities. Conclusion FUs rate varies between territories and is correlated to territorial markers of social deprivation. Targeted public policies should focus on disadvantaged territories.

Abstract Background The Nice terror attack of July 14, 2016 resulted in 84 deaths and 434 injured, with many hospital staff exposed to the attack, either as bystanders on site at the time of the attack (‘bystander exposure’) who may or may not have provided care to attack victims subsequently, or as care providers to victims only (‘professional exposure only’). The objective of this study is to describe the impact on mental health among hospital staff by category of exposure with a particular focus on those with ‘professional exposure only’, and to assess their use of psychological support resources. Method An observational, cross-sectional, multicenter study conducted from 06/20/2017 to 10/31/2017 among all staff of two healthcare institutions in Nice, using a web questionnaire. Collected data included social, demographic and professional characteristics; trauma exposure category (‘bystanders to the attack’; ‘professional exposure only’; ‘unexposed’); indicators of psychological impact (Hospital Anxiety and Depression Scale); PTSD (PCL-5) level; support sought. Responders could enter open comments in each section of the questionnaire, which were processed by inductive analysis. Results 804 staff members’ questionnaires were analysed. Among responding staff, 488 were exposed (61%): 203 were ‘bystanders to the attack’, 285 had ‘professional exposure only’. The staff with ‘professional exposure only’ reported anxiety (13.2%), depression (4.6%), suicidal thoughts (5.5%); rates of full PTSD was 9.4% and of partial PTSD, 17.7%. Multivariate analysis in the ‘professional exposure only’ category showed that the following characteristics were associated with full or partial PTSD: female gender (OR = 2.79; 95% CI = 1.19–6.56, p = 0.019); social isolation (OR = 3.80; 95% CI = 1.30–11.16, p = 0.015); having been confronted with an unfamiliar task (OR = 3.04; 95% CI = 1.18–7.85; p = 0.022). Lastly, 70.6% of the staff with ‘professional exposure only’ with full PTSD did not seek psychological support. Conclusion Despite a significant impact on mental health, few staff with ‘professional exposure only’ sought psychological support. Robust prevention and follow-up programs must be developed for hospital staff, in order to manage the health hazards they face when exposed to exceptional health-related events such as mass terror attacks. Study registration Ethical approval for the trial was obtained from the National Ethics Committee for Human Research (RCBID N° 2017-A00812–51).

Abstract Background The Emergency Department (ED) can be considered an indicator of accessibility and quality and can be influenced in period of economic downturns. In the last fifteen years, the number of migrants in Italy has doubled (from 2.4 million in 2005 to 5.2 in 2019, 4.1 and 8.7% of the total population, respectively). However, evidence about migrants’ healthcare use is poor, and no studies focused on the ED utilisation rate during the Great Recession are available. This study aims to analyse trends in all-cause and cause-specific ED utilisation among migrants and Italians residing in Rome, Italy, before and after 2008. Methods Longitudinal study based on data from the Municipal Register of Rome linked to the Emergency Department Register from 2005 to 2015. We analysed 2,184,467 individuals, aged 25–64 in each year. We applied a Hurdle model to estimate the propensity to use the ED and to model how often individuals accessed the ED. Results Migrants were less likely to be ED users than Italians, except for Africans (RR = 1.46, 95%CI 1.40–1.52) and Latin Americans (RR = 1.04, 95%CI 1.00–1.08) who had higher all-cause utilisation rates than non-migrants. Compared to the pre-2008 period, in the post-2008 we found an increase in the likelihood of being an ED user (OR = 1.34, 95%CI 1.34–1.35), and a decrease in ED utilisation rates (RR = 0.96, 95%CI 0.96–0.97) for the whole population, with differences among migrant subgroups, regardless of cause. Conclusions This study shows differences in the ED utilisation between migrants and Italians, and within the migrant population, during the Great Recession. The findings may reflect differentials in the health status, and barriers to access primary and secondary care among migrants. In this regard, health policies and cuts in health spending measures may have played a key role, and interventions to tackle health and access disparities should include policy measures addressing the underlying factors, adopting a Health in All Policies perspective. Further researches focusing on specific groups of migrants, and on the causes and diagnoses related to the ED utilisation, may help to explain the differences observed.

Background: The individual factors associated to Frequent Users (FUs) in Emergency Departments are well known. However, the characteristics of their geographical distribution and how territorial specificities are associated and intertwined with ED use are limited. Investigating healthcare use and territorial factors would help targeting local health policies. We aim at describing the geographical distribution of ED's FUs within the Paris region.Methods: We performed a retrospective analysis of all ED visits in the Paris region in 2015. Data were collected from the universal health insurance's claims database. Frequent Users (FUs) were defined as having visited ≥3 times any ED of the region over the period. We assessed the FUs rate in each geographical unit (GU) and assessed correlations between FUs rate and socio-demographics and economic characteristics of GUs. We also performed a multidimensional analysis and a principal component analysis to identify a typology of territories to describe and target the FUs phenomenon.Results: FUs accounted for 278,687 (11.7%) of the 2,382,802 patients who visited the ED, living in 232 GUs. In the region, median FUs rate in each GU was 11.0% [interquartile range: 9.5-12.5]. High FUs rate was correlated to the territorial markers of social deprivation. Three different categories of GU were identified with different profiles of healthcare providers densities.Conclusion: FUs rate varies between territories and is correlated to territorial markers of social deprivation. Targeted public policies should focus on disadvantaged territories. [ABSTRACT FROM AUTHOR]

Background: The Nice terror attack of July 14, 2016 resulted in 84 deaths and 434 injured, with many hospital staff exposed to the attack, either as bystanders on site at the time of the attack ('bystander exposure') who may or may not have provided care to attack victims subsequently, or as care providers to victims only ('professional exposure only'). The objective of this study is to describe the impact on mental health among hospital staff by category of exposure with a particular focus on those with 'professional exposure only', and to assess their use of psychological support resources.Method: An observational, cross-sectional, multicenter study conducted from 06/20/2017 to 10/31/2017 among all staff of two healthcare institutions in Nice, using a web questionnaire. Collected data included social, demographic and professional characteristics; trauma exposure category ('bystanders to the attack'; 'professional exposure only'; 'unexposed'); indicators of psychological impact (Hospital Anxiety and Depression Scale); PTSD (PCL-5) level; support sought. Responders could enter open comments in each section of the questionnaire, which were processed by inductive analysis.Results: 804 staff members' questionnaires were analysed. Among responding staff, 488 were exposed (61%): 203 were 'bystanders to the attack', 285 had 'professional exposure only'. The staff with 'professional exposure only' reported anxiety (13.2%), depression (4.6%), suicidal thoughts (5.5%); rates of full PTSD was 9.4% and of partial PTSD, 17.7%. Multivariate analysis in the 'professional exposure only' category showed that the following characteristics were associated with full or partial PTSD: female gender (OR = 2.79; 95% CI = 1.19-6.56, p = 0.019); social isolation (OR = 3.80; 95% CI = 1.30-11.16, p = 0.015); having been confronted with an unfamiliar task (OR = 3.04; 95% CI = 1.18-7.85; p = 0.022). Lastly, 70.6% of the staff with 'professional exposure only' with full PTSD did not seek psychological support.Conclusion: Despite a significant impact on mental health, few staff with 'professional exposure only' sought psychological support. Robust prevention and follow-up programs must be developed for hospital staff, in order to manage the health hazards they face when exposed to exceptional health-related events such as mass terror attacks.Study Registration: Ethical approval for the trial was obtained from the National Ethics Committee for Human Research (RCBID N° 2017-A00812-51). [ABSTRACT FROM AUTHOR]