A multi-level study of the determinants of mental health service utilization

Socioeconomic status and access to psychotherapy

OBJECTIVE

Individuals with low socioeconomic status (SES) have significantly higher prevalence rates of mental disorders than those with higher SES, but are less likely to receive treatment. Studies from the United States show that individuals with higher SES are more likely to be offered a therapy place than those with low SES. In Germany, where the public health care system is without financial barriers, studies on access to treatment are lacking.

METHOD

The present study investigated whether the SES of persons seeking psychotherapeutic help in Germany influences psychotherapists' decision to provide access to treatment. For this purpose, 504 licensed outpatient psychological psychotherapists participated in an online study, in which they read a series of case vignettes and rated how likely they would be to offer treatment in each case. SES was operationalized by occupation and language use. Additionally, we investigated whether treatment offers were affected by the disorder and the gender of the help seeker, the therapists' socioeconomic background, and other characteristics in interaction with SES. Bonferroni-corrected multifactorial repeated measures analysis of variances (ANOVAs) and mixed ANOVAs were calculated.

RESULTS

Help seekers with low SES were 4.1% less likely to be offered treatment than those with moderate to high SES (F (1, 503) = 115.64; p = 0.000; η² =  0.187). The influence of SES on the probability of a therapy place offer varied significantly depending on the patient's disorder (p = 0.000): SES had a greater effect for bulimia than for depression and social anxiety disorder. Overall, the effect was small (η² = 0.026). No significant interaction between the gender of potential clients and SES was found (p = 0.062). The influence of SES on treatment accessibility varied depending on the therapeutic method for which the therapist was licensed and on the social status of the district in which the therapist's practice was located. The therapist's socioeconomic background (parental SES) did not interact with the potential client's SES.

CONCLUSION

Therapist biases contributing to unequal access to treatment for individuals with low SES and other characteristics can aggravate mental health care disparities. Even though the effects we found were relatively modest, awareness of the association between SES and offers of therapy places might help practitioners to reflect on their own selection practices.

Hospital and patient factors influencing the health status among patients with schizophrenia, thirty days after hospital discharge: multi-level analysis

BACKGROUND

The time between discharge from hospital and transition to community and home is a critical period for health status among patients with a mental illness, including patients with schizophrenia. This study aimed to investigate crucial patient factors (patient-level) and hospital factors (hospital-level) affecting health status and see whether patient factor effects on health status vary with hospital factors, 30 days after hospital discharge.

METHODS

This is a prospective study of 1255 patients with schizophrenia and their primary caregivers from 13 public mental hospitals across Thailand. Logistic regression and multi-level logistic regression was used to investigate the effects of patient and hospital factors simultaneously on health status, 30 days after hospital discharge.

RESULTS

The intraclass correlation coefficient indicated that 14% of the change in health status was explained by the differences between hospital. Poor health status was identified in 14.26% of patients, 30 days after hospital discharge. The majority of participant patients were male (69.8%), single (71.87%), and the average age was 38.09 (SD = 9.74). The finding also showed that the patient factors; being female (ORadj .53, 95%CI .31,.92), perceived moderate and high levels of positive aspect of caregiving (ORadj .24, 95%CI .14,.42 and ORadj .05, 95%CI .02,.09), perceived readiness for hospital discharge (ORadj .21, 95%CI .13,.33), partial and full adherence to treatment (ORadj .24, 95%CI .14,.42 and ORadj .31, 95%CI .20,.47) showed a reduced likelihood of developing poor health status except substance use (ORadj 1.55, 95%CI .98, 2.44). Hospital factors; discharge planning process and nurse-patient ratio (ORadj 1.64, 95%CI 1.17, 2.30 and ORadj 1.16, 95%CI 1.09, 1.22) showed an increased likelihood of developing poor health status, 30 days after hospital discharge.

CONCLUSIONS

Findings provide relevant information on how both patient and hospital factors determine health status. These results might lead to better targeting of mental health service policy and enable more precise information gathering and allocation of resources. However, future research should be more focused and continue investigating the pathways through which hospital factors influence health status post-discharge.

Neighborhood Predictors of Outpatient Mental Health Visits Among Persons With Comorbid Medical and Serious Mental Illnesses

OBJECTIVE

Individuals with serious mental illnesses are at risk of receiving inadequate outpatient mental health services, increasing the likelihood of medication nonadherence, readmission, and self-harm. The purpose of this study was to identify individual- and neighborhood-level factors associated with outpatient mental health visits.

METHODS

This study included 418 participants from two randomized trials of patients with comorbid medical conditions and serious mental illnesses across two study sites between 2011 and 2017. On the basis of individual addresses, data were collected about participants' distance to the nearest mental health facility and 13 neighborhood characteristics from the American Community Survey. Three neighborhood-level factors were derived from factor analysis. Poisson regression was used to assess associations between individual- and neighborhood-level characteristics and the number of visits to mental health providers. Known individual-level risk factors for outpatient follow-up were mutually adjusted in a model with neighborhood covariates added.

RESULTS

Male gender, older age, unemployment, and lower education level were associated with less outpatient mental health service utilization. Neighborhood-level residential mobility, defined as the combination of percentage of residents living in a different house in the past year and percentage of non-owner-occupied housing, was significantly associated with fewer mental health service visits even after controlling for other neighborhood- and individual-level factors.

CONCLUSIONS

Among individuals with comorbid medical conditions and serious mental illnesses, living in neighborhoods with higher residential mobility was associated with fewer visits to outpatient mental health providers. This finding suggests the importance of recognizing social conditions that may shape clinical interactions.

The Rearing Environment and Risk for Major Depression: A Swedish National High-Risk Home-Reared and Adopted-Away Co-Sibling Control Study

OBJECTIVE

The authors sought to clarify the role of rearing environment in the etiology of major depression.

METHODS

Defining high risk as having at least one biological parent with major depression, the authors identified a Swedish National Sample of 666 high-risk full sibships and 2,596 high-risk half sibships containing at least one home-reared and one adopted-away sibling. Major depression was assessed from national medical registries.

RESULTS

Controlling for sex, parental age at birth, and, for half siblings, history of major depression in the nonshared parent, the risk for major depression in the matched adopted compared with home-reared full and half siblings was reduced by 23% (95% CI=7-36) and by 19% (95% CI=10-38), respectively. This protective rearing effect was not influenced by the relative educational status of the biological and adoptive parents. However, in both full and half sibships, the protective effect of adoption disappeared when an adoptive parent or stepsibling had major depression or the adoptive home was disrupted by parental death or divorce.

CONCLUSIONS

In matched full and half sibships at high risk for major depression, compared with individuals raised in their home environment, those reared in adoptive homes (homes selected in Sweden for their high-quality rearing environment) had a significantly reduced risk for major depression. This protective effect disappeared if an adoptive parent had major depression or if the adoptive home experienced parental death or divorce during childhood/adolescence. The rearing environment has a meaningful impact on risk for major depression, and this effect is likely mediated both by parental depression and the continuity or disruption of the home environment.

Association between mental health service utilisation and sharing of injection material among people who inject drugs in Montreal, Canada

BACKGROUND

High-risk injection behaviors are associated with high prevalence of mental health problems among people who inject drugs (PWID). However, whether the use of mental health services is associated with lower risk of sharing injection material remains undetermined. This study aims to examine the association between mental health service utilisation and receptive sharing risk, and determine the potential modifying effect of psychological distress on this association.

METHODS

Participants answered an interviewer-administered questionnaire at 3-month intervals gathering information on sociodemographic characteristics, substance use and related behaviors, services utilisation and significant mental health markers. Relationship between the use of mental health services and receptive sharing was modeled using the generalized estimating equation (GEE), controlling for age at baseline, gender, and other potential confounders. Psychological distress was estimated using the Kessler Psychological Distress Scale (K10). Effect modification was investigated by adding an interaction term in the univariate GEE analysis.

RESULTS

358 participants contributed to 2537 visits (median age 40.3, 82% male). Mental health service utilisation was reported in 631 visits (25%), receptive sharing in 321 visits (13%) and severe psychological distress in 359 visits (14%). In multivariate GEE analyses, a significant association was identified between receptive sharing and the use of mental health services (aOR = 0.69; 95% CI = 0.50-0.94). We found no evidence of effect modification by psychological distress.

CONCLUSION

Among PWID, mental health service utilisation was associated with lower likelihood of receptive sharing, regardless of level of psychological distress. These findings should be taken into account when designing harm reduction strategies for this population.

Predictors of mental health service use among individuals with high psychological distress and mental disorders

This study identified predictors of mental health service use over 12 months among 746 individuals with mental disorders and high psychological distress from a catchment area in southwest Montreal, Quebec (Canada). Data collected in 2011 and 2014 were analyzed using Andersen's Behavioral Model of Health Services Use. A hierarchical logistic regression identified predictors of mental health service use. In all, 29% of participants reported using mental health services in the previous 12 months. Three key enabling variables predicted mental health service use: having a family doctor, previous experience with mental health services, and employment. Self-perception of mental health, stressful events, and unmet needs marginally (Needs factors: non-clinical variables) were also associated with the outcome variable. Mental health service utilization depends primarily on organization of the health system, and patient perceptions of its condition (non-clinical needs). Mental health policy should focus on increasing the availability of services and professionals, especially family doctors. Other measures for encouraging service use and overall population wellbeing include raising public awareness around the signs and symptoms of mental illness as a way to promote more rapid response to patient needs, and protecting workplace mental health by reducing stress and stigma toward individuals affected by mental distress.

The Relationship Between Residential Mobility and Behavioral Health Service Use in a National Sample of Adults With Mental Health and/or Substance Abuse Problems

OBJECTIVE

Individuals with mental health and/or substance abuse problems experience disparities in health care utilization. While previous studies have focused on individual and social determinants of health care use in these populations, few have investigated the role of residential stability, especially in relation to different types of service use (i.e., inpatient vs. outpatient treatment). The present study examined the relationship between residential mobility, defined as the number of residential relocations in the past year, and past-year use of four types of behavioral services (i.e., inpatient and outpatient mental health services, inpatient and outpatient substance abuse services) among a national sample of adults with mental health and/or substance abuse problems.

METHODS

Data were drawn from the 2011-2014 National Survey of Drug Use and Health (unweighted N = 43,411). Based on prior literature and theory, we hypothesized that individuals who frequently relocate are more likely to use inpatient services and are less likely to use outpatient services. Logistic regression analyses were conducted and all models controlled for predisposing, need, and enabling factors.

RESULTS

Compared to individuals who did not move in the past year, those who moved three or more times were more likely to report using inpatient mental health and substance abuse services. The relationship between residential mobility and outpatient mental health and substance use service use is not significant.

CONCLUSIONS

The findings highlight the importance of understanding housing stability as a predictor factor of service use and access. Future research is needed to shed light on the pathway through which residential mobility affects behavioral health service utilization.

Patterns of Health Care Service Utilization by Individuals with Mental Health Problems: a Predictive Cluster Analysis

This study aimed at identifying and characterizing clusters of mental health service users based on various characteristics in a sample of individuals with mental health problems. Data were collected in the epidemiological catchment area of South-West Montreal, Quebec in 2011 and 2014. Among the 746 participants who reported experiencing a mental health problem (high psychological distress and/or a mental disorder), 29% had used mental health services. A Two-Step cluster analysis was carried out to generate participant profiles based on their visit to mental health professional. Four clusters were identified: 1) young males with high quality of life and social support and who were less likely to have mental health problems and to utilize mental health services; 2) older females living with a partner and having a family doctor who were less likely to have mental health problems and to utilize mental health services; 3) single females with generalized anxiety disorder and somatic illness who were more likely to utilize mental health services, and 4) depressed females with high psychological distress, low quality of life and social support who were likely to utilize mental health services. The results reinforce the importance to develop programs that target the specific needs of subgroups of people experiencing mental health problems, given their considerable heterogeneity.

Predictors in use of mental health resources: The role of behaviour problems in patients with severe mental illness

BACKGROUND

In recent years, more variables are being included in the use of mental health resource prediction models. Some studies have shown that how well the patient can function is important for this prediction. However, the relevance of a variable as important as behaviour problems has scarcely been explored.

AIM

This study attempted to evaluate the effect of behaviour problems in patients with severe mental illness on the use of mental health resources.

METHOD

A total of 185 patients at a Community Mental Health Unit were evaluated using the Behaviour Problem Inventory. Later, a bivariate logistic regression was done to identify what behaviour problems could be specific predictors of use of mental health resources.

RESULTS

The results showed that the general index of behaviour problems predicts both use of hospitalization resources and outpatient attention. Underactivity/social withdrawal is the best predictor of all the different areas.

CONCLUSION

These results confirm the role of behaviour problems as predictors of the use of mental health resources in individuals with a severe mental illness.

Social inequalities in the utilization of outpatient psychotherapy: analyses of registry data from German statutory health insurance

Background

Most studies on health disparities deal with the occurrence of disease, but little is known about inequalities in the utilization of mental health services. This paper examines social inequalities in the utilization of outpatient psychotherapy within a health care system where there are low financial barriers to health care and a lack of specific health policies to address access to psychotherapeutic services.

Methods

Registry data of German statutory health insurance for the year 2013 were used (total population: N = 746,963; 10,711 women and men with psychotherapy). Logistic regression analyses were performed to estimate the effects of three socio-economic (SES) indicators on the utilization of psychotherapy.

Results

Utilization of psychotherapy by SES status did not correspond to the social structure of the insured population. Social disparities that disadvantaged less privileged women and men were found; this applied to education, income and occupational position. The most pronounced differences were found for education. In contrast, effects of income were rather small. These findings must be interpreted against the backdrop of the absence of financial barriers to outpatient psychotherapy in Germany.

Conclusions

A marked degree of psychotherapy under-utilization was found for lower SES groups. Psychotherapists should pay increased attention to clients with lower socio-economic position. Enhancing mental health literacy, as well as reducing the stigma of mental illness, is crucial for increasing the usage of psychotherapeutic services of those who need it most. Relevant health policy is needed to reduce the barriers to, and consequently increase psychotherapy utilization.

A multi-level analysis of the relationship between spatial clusters of outpatient-treated depression, risk factors and mental health service planning in Catalonia (Spain)

BACKGROUND

Previous research identified high/low clusters of prevalence of outpatient-treated depression at municipal level in Catalonia (Spain). This study aims to analyse potential risk factors, both socioeconomic and related to the mental health service planning, which could influence the occurrence of hot/cold spots of depressed outpatients at two geographical levels: municipalities and service catchment areas.

METHOD

Hot/cold spots were examined in relation to socioeconomic indicators at municipal level, such as population density, unemployment, university education, personal income, and also those related to service planning at catchment area level, such as adequacy of healthcare, urbanicity, accessibility and the availability of mental health community centres. The analysis has been carried out through multilevel logistic regression models in order to consider the two different scales.

RESULTS

Hot spots are related to high population density, unemployment, urbanicity, the adequacy of provision of mental health services, and accessibility to mental health community centres at both study levels. On the other hand, the multilevel model weakly explains cold spots, associating them with high personal incomes.

LIMITATIONS

The dependent variables of the multi-level models are binary. This limits the interpretation of the results, since they cannot provide information about the variance of the dependent variables explained by the models.

CONCLUSIONS

The results described diverse risk factors at two levels which are related to a high likelihood of hot and cold spots of depression. The findings show the relevance of health planning in the distribution of diseases and the utilisation of healthcare services.

Mental health services use among adults with or without mental disorders: Do development stages matter?

BACKGROUND

Mental health services (MHS) use is a complex behaviour that does not only concern individuals with current mental disorder. To date, few studies have examined age-related contextualisation of MHS use. Reasons for seeking help may vary according to development stages in adulthood.

AIMS

This study aimed to determine which predisposing, enabling and need factors, using Andersen's model, were associated with MHS use according to adult development stages among individuals with or without current psychiatric diagnosis.

METHODS

Three age groups were examined: 18- to 29-year-olds (n = 775), 30- to 49-year-olds (n = 1,560) and 50- to 64-year-olds (n = 960). Data were obtained from the Montreal Longitudinal Catchment Area Study. Bivariate and multivariate logistic regression analyses were conducted for each age group separately to determine which predisposing, enabling and need factors were associated with MHS use in the past 12 months.

RESULTS

For 18- to 29-year-olds, one enabling factor (Internet search) and two need factors (presence of major depressive disorder and number of stressful events) were positively associated with MHS use. For 30- to 49-year-olds, one predisposing factor (family history of mental disorder), four enabling factors (not currently working or in school, perceiving neighbourhood disorder, social cohesion and Internet searching) and one need factor (major depressive disorder) correlated with help seeking. For 50- to 64-year-olds, two predisposing factors (family history of mental disorder and higher self-perceived stigma), two enabling factors (low satisfaction in personal relationship and Internet searching) and one need factor (alcohol dependence) were associated with MHS use.

CONCLUSIONS

Factors associated with MHS use differ according to adult development stages. Programmes and policies should be based on age-related contextualisation to increase MHS use.

Factors associated with high use of general practitioner and psychiatrist services among patients attending an addiction rehabilitation center

BACKGROUND

This study aimed to 1) identify the characteristics of individuals with substance use disorders (SUDs) who make high use of services provided by general practitioners (GP) and psychiatrists while receiving services concurrently from an addiction rehabilitation center (ARC), and 2) to compare high service users to moderate and low service users.

METHODS

Data were compiled for 4,407 individuals with SUDs who were receiving services from an ARC in 2004. The data came from the merging of four databases: the ARC data registry (January 1(st), 2004-December 31, 2004), the Quebec Health Insurance Board database (March 31, 2003-April 1st, 2005), the Quebec provincial database for hospitalizations (March 31, 2003-April 1st, 2005), and the Quebec National Institute of Public Health database (2004). Independent variables were grouped according to the Andersen Behavioral Model of Health Services Use: predisposing, enabling and need factors. Generalized estimating equations analyses were performed to assess the influence of individual and neighborhood-level characteristics on high use of services outside the ARC provided by GPs and psychiatrists. Benjamini-Hochberg's procedure was applied to correct for multiple comparisons.

RESULTS

About 97 % of individuals attending the ARC consulted a GP or a psychiatrist during the two-year study period, for a mean of 1.5 consultations per month. Findings revealed that 5 % of the sample made 26 % of all consultations over the two years, and they were defined as high users. No single predisposing factor was associated with high use. One enabling factor significantly increased the risk of being a high user of services from general practitioners and psychiatrists: receiving services at the ARC for three years prior to 2004. Four needs factors, all related to mental health diagnoses (schizophrenia, mood disorder, anxiety disorder, personality disorder), predicted high use of general practitioner and psychiatrist services.

CONCLUSIONS

This study found that nearly all individuals with SUDs receiving services from an ARC were users of health services from GPs and psychiatrists outside the ARC. High users most probably accessed them in inpatient settings. No previous study has compared high service users with low and moderate users among individuals with SUDs. Considering that ARCs are treating individuals with complex needs, some of whom make high use of medical professionals, both ARCs and their clients could benefit from increased collaboration and integration between the addictions and mental healthcare sectors.

Social functioning as a predictor of the use of mental health resources in patients with severe mental disorder

Previous studies have tried to determine the factors causing greater use of health resources by patients with mental disorders. These studies have essentially focused on socio-economic variables. Nevertheless, many other variables, such as social functioning, have not yet been explored. This study aims to assess the effect of social functioning on mental health service use in a sample of patients with severe mental disorder (schizophrenia, other psychotic disorders or bipolar affective disorder) in an area of Spain. The Social Functioning Scale (SFS) was administered to 172 family members of patients with a severe mental disorder who were receiving care at a community mental health unit. Analysis of bivariate logistic regression identified specific areas as predictors of the use of mental health resources over a 12-month follow-up period. The overall social functioning score predicted need for hospital admissions. In addition, interpersonal behaviour had a major role in the number of outpatient visits, while social isolation significantly predicted the need for hospitalization. These results point out the necessity for including psychosocial variables, such as social functioning in current mental health resource use models.

Help Received for Perceived Needs Related to Mental Health in a Montreal (Canada) Epidemiological Catchment Area

This study sought to identify variables associated with help received in terms of information, medication, counselling and total help received (including other needs) among 571 individuals needing health care services for mental health problems. Study participants were randomly selected from an epidemiological survey. Data on help received were collected using the Canadian version of the Perceived Need for Care Questionnaire (PNCQ), and were analyzed using a multinomial logistic regression model. Most help received was in the form of counselling, followed by medication and information. Compared with individuals who received no help, those who reported receiving help for all their needs were more likely to have psychological distress, to be non-verbally aggressive, to consult more healthcare professionals, to be men and to be somewhat older. Compared with individuals who received no help, those who received partial help were more likely to be not addicted to drugs or alcohol, to consult more healthcare professionals, and to be older. Healthcare services should prioritize strategies (e.g., early detection, outreach, public education on mental and addiction disorders) that address barriers to help seeking among youth, as well as individuals addicted to drugs and alcohol or those presenting with aggressive behavior.

Determinants of the use of health care services: multilevel analysis in the Metropolitan Region of Sao Paulo

OBJECTIVE To evaluate the individual and contextual determinants of the use of health care services in the metropolitan region of Sao Paulo. METHODS Data from the Sao Paulo Megacity study - the Brazilian version of the World Mental Health Survey multicenter study - were used. A total of 3,588 adults living in 69 neighborhoods in the metropolitan region of Sao Paulo, SP, Southeastern Brazil, including 38 municipalities and 31 neighboring districts, were selected using multistratified sampling of the non-institutionalized population. Multilevel Bayesian logistic models were adjusted to identify the individual and contextual determinants of the use of health care services in the past 12 months and presence of a regular physician for routine care. RESULTS The contextual characteristics of the place of residence (income inequality, violence, and median income) showed no significant correlation (p > 0.05) with the use of health care services or with the presence of a regular physician for routine care. The only exception was the negative correlation between living in areas with high income inequality and presence of a regular physician (OR: 0.77; 95%CI 0.60;0.99) after controlling for individual characteristics. The study revealed a strong and consistent correlation between individual characteristics (mainly education and possession of health insurance), use of health care services, and presence of a regular physician. Presence of chronic and mental illnesses was strongly correlated with the use of health care services in the past year (regardless of the individual characteristics) but not with the presence of a regular physician. CONCLUSIONS Individual characteristics including higher education and possession of health insurance were important determinants of the use of health care services in the metropolitan area of Sao Paulo. A better understanding of these determinants is essential for the development of public policies that promote equitable use of health care services.

Predictors of healthcare service utilization for mental health reasons

This study was designed to identify: (1) predictors of 12-month healthcare service utilization for mental health reasons, framed by the Andersen model, among a population cohort in an epidemiological catchment area; and (2) correlates associated with healthcare service utilization for mental health reasons among individuals with and without mental disorders respectively. Analyses comprised univariate, bivariate, and multiple regression analyses. Being male, having poor quality of life, possessing better self-perception of physical health, and suffering from major depressive episodes, panic disorder, social phobia, and emotional problems predicted healthcare service utilization for mental health reasons. Among individuals with mental disorders, needs factors (psychological distress, impulsiveness, emotional problems, victim of violence, and aggressive behavior) and visits to healthcare professionals were associated with healthcare service utilization for mental health reasons. Among individuals without mental disorders, healthcare service utilization for mental health reasons is strongly associated with enabling factors such as social support, income, environmental variables, and self-perception of the neighborhood. Interventions facilitating social cohesion and social solidarity in neighborhood settings may reduce the need to seek help among individuals without mental disorders. Furthermore, in their capacity as frontline professionals, general practitioners should be more sensitive in preventing, detecting, and treating mental disorders in routine primary care.

Disentangling the influence of neighborhood and individual characteristics on early residential mobility among newly diagnosed patients with schizophrenia: a multilevel analysis

PURPOSE

Early residential mobility of schizophrenic patients may relate to discontinuity of treatment and adverse outcome. However, factors influencing early residential mobility of these patients are still poorly examined. The aim of this study was to disentangle the influence of individual and neighborhood characteristics on early residential mobility of schizophrenic patients.

METHODS

The study used administrative data of 13, 400 individuals newly diagnosed with schizophrenia in Quebec between 2001 and 2002. These individuals were nested in 163 different health territories. Multilevel analyses were used to assess the contribution of individual and neighborhood characteristics on early residential mobility.

RESULTS

The final model indicates that at the individual level, being men, wonder patients and physical comorbidity increased the likelihood of early residential mobility whereas older patients were less likely to migrate earlier. The health territory level explains about 7 % of the variation of early residential mobility and variables influencing residential mobility at this level are the fourth and the third quartiles of the population density.

CONCLUSIONS

Factors influencing early residential mobility of schizophrenic patients are located at both individual and neighborhood levels. This suggests that policies targeting only one-level factors are unlikely to significantly delays early residential mobility.

Prediction of community mental health service utilization by individual and ecological level socio-economic factors

Individuals with a more deprived socioeconomic status (SES) are more likely to have higher rates of psychiatric morbidity and use of psychiatric services. Such service use is also influenced by socioeconomic factors at the ecological level. The aim of this article is to investigate the influence of these variables on service utilization. All patients in contact with three Italian community psychiatric services (CPS) were included. Community and hospital contacts over 6 months were investigated. Socio-economic characteristics were described using a SES Index and two new Resources Accessibility Indexes. Low SES was found to be associated with more community service contacts. When other individual and ecological variables were controlled for, SES was negatively associated only with the number of home visits, which was about half the rate in deprived areas. An association between service utilization and the resources of the catchment area was also detected. The economic crisis in Europe is increasing inequality of access, so paying attention to SES characteristics at both the individual and the ecological levels is likely to become increasingly important in understanding patterns of psychiatric service utilization and planning care accordingly.