Clinical and organizational factors predicting readmission for mental health patients across Italy.

PURPOSE: The aims of our study are: to explore rehospitalization in mental health services across Italian regions, Local Health Districts (LHDs), and hospitals; to examine the predictive power of different clinical and organizational factors. METHODS: The data set included adult patients resident in Italy discharged from a general hospital episode with a main psychiatric diagnosis in 2012. Independent variables at the individual, hospital, LHD, and region levels were used. Outcome variables were individual-level readmission and LHD-level readmission rate to any hospital at 1-year follow-up. The association with readmission of each variable was assessed through both single- and multi-level logistic regression; descriptive statistics were provided to assess geographical variation. Relevance of contextual effects was investigated through a series of random-effects regressions without covariates. RESULTS: The national 1-year readmission rate was 43.0%, with a cross-regional coefficient of variation of 6.28%. Predictors of readmission were: admission in the same LHD as residence, psychotic disorder, higher length of stay (LoS), higher rate of public beds in the LHD; protective factors were: young age, involuntary admission, and intermediate number of public healthcare staff at the LHD level. Contextual factors turned out to affect readmission only to a limited degree. CONCLUSIONS: Homogeneity of readmission rates across regions, LHDs, hospitals, and groups of patients may be considered as a positive feature in terms of equity of the mental healthcare system. Our results highlight that readmission is mainly determined by individual-level factors. Future research is needed to better explore the relationship between readmission and LoS, discharge decision, and resource availability.

Pre-discharge factors predicting readmissions of psychiatric patients: a systematic review of the literature.

BACKGROUND: Readmission rate is considered an indicator of the mental health care quality. Previous studies have examined a number of factors that are likely to influence readmission. The main objective of this systematic review is to identify the studied pre-discharge variables and describe their relevance to readmission among psychiatric patients. METHODS: Studies on the association between pre-discharge variables and readmission after discharge with a main psychiatric diagnosis were searched in the bibliographic databases Ovid Medline, PsycINFO, ProQuest Health Management and OpenGrey. Relevant publications published between January 1990 and June 2014 were included. For each variable, the number of papers that considered it as a predictor of readmission and that found a significant association was recorded, together with the association direction and whether it was found respectively in bivariate and in multivariate analyses. RESULTS: Of the 734 articles identified in the search, 58 papers were included in this review, mainly from the USA and concerning patients with severe mental disorders. Analysed variables were classified according to the following categories: patients' demographic, social and economic characteristics; patients' clinical characteristics; patients' clinical history; patients' attitude and perception; environmental, social and hospital characteristics; and admission and discharge characteristics. The most consistently significant predictor of readmission was previous hospitalisations. Many socio-demographic variables resulted as influencing readmission, but the results were not always homogeneous. Among other patients' clinical characteristics, diagnosis and measures of functional status were the most often used variables. Among admission characteristics, length of stay was the main factor studied; however, the results were not very consistent. Other relevant aspects resulted associated with readmission, including the presence of social support, but they have been considered only in few papers. Results of quality assessment are also reported in the review. The majority of papers were not representative of the general psychiatric population discharged from an inpatient service. Almost all studies used multivariate analytical methods, i.e., confounders were controlled for, but only around 60% adjusted for previous hospitalisation, the variable most consistently considered associated to readmission in the literature. CONCLUSIONS: The results contribute to increase knowledge on pre-discharge factors that could be considered by researchers as well as by clinicians to predict and prevent readmissions of psychiatric patients. Associations are not always straightforward and interactions between factors have to be considered.

Effect of COVID-19 pandemic on utilisation of community-based mental health care in North-East of Italy: A psychiatric case register study.

AIMS: WHO declared that mental health care should be considered one essential health service to be maintained during the coronavirus disease 2019 (COVID-19) pandemic. This study aims to describe the effect of lockdown and restrictions due to the COVID-19 pandemic in Italy on mental health services' utilisation, by considering psychiatric diagnoses and type of mental health contacts. METHODS: The study was conducted in the Verona catchment area, located in the Veneto region (northeastern Italy). For each patient, mental health contacts were grouped into: (1) outpatient care, (2) social and supportive interventions, (3) rehabilitation interventions, (4) multi-professional assessments, (5) day care. A 'difference in differences' approach was used: difference in the number of contacts between 2019 and 2020 on the weeks of lockdown and intermediate restrictions was compared with the same difference in weeks of no or reduced restrictions, and such difference was interpreted as the effect of restrictions. Both a global regression on all contacts and separate regressions for each type of service were performed and Incidence Rate Ratios (IRRs) were calculated. RESULTS: In 2020, a significant reduction in the number of patients who had mental health contacts was found, both overall and for most of the patients' characteristics considered (except for people aged 18-24 years for foreign-born population and for those with a diagnosis of schizophrenia. Moreover, in 2020 mental health contacts had a reduction of 57 096 (-33.9%) with respect to 2019; such difference remained significant across the various type of contacts considered, with rehabilitation interventions and day care showing the greatest reduction. Negative Binomial regressions displayed a statistically significant effect of lockdown, but not of intermediate restrictions, in terms of reduction in the number of contacts. The lockdown period was responsible of a 32.7% reduction (IRR 0.673; p-value <0.001) in the overall number of contacts. All type of mental health contacts showed a reduction ascribable to the lockdown, except social and supportive interventions. CONCLUSIONS: Despite the access to community mental health care during the pandemic was overall reduced, the mental health system in the Verona catchment area was able to maintain support for more vulnerable and severely ill patients, by providing continuity of care and day-by-day support through social and supportive interventions.

Psychological impact of COVID-19 pandemic on healthcare workers in a highly burdened area of north-east Italy.

AIMS: Healthcare workers exposed to coronavirus 2019 (COVID-19) patients could be psychologically distressed. This study aims to assess the magnitude of psychological distress and associated factors among hospital staff during the COVID-19 pandemic in a large tertiary hospital located in north-east Italy. METHODS: All healthcare and administrative staff working in the Verona University Hospital (Veneto, Italy) during the COVID-19 pandemic were asked to complete a web-based survey from 21 April to 6 May 2020. Symptoms of post-traumatic distress, anxiety and depression were assessed, respectively, using the Impact of Event Scale (IES-R), the Self-rating Anxiety Scale (SAS) and the Patient Health Questionnaire (PHQ-9). Personal socio-demographic information and job characteristics were also collected, including gender, age, living condition, having pre-existing psychological problems, occupation, length of working experience, hospital unit (ICUs and sub-intensive COVID-19 units vs. non-COVID-19 units). A multivariable logistic regression analysis was performed to identify factors associated with each of the three mental health outcomes. RESULTS: A total of 2195 healthcare workers (36.9% of the overall hospital staff) participated in the study. Of the participants, 35.7% were nurses, 24.3% other healthcare staff, 16.4% residents, 13.9% physicians and 9.7% administrative staff. Nine per cent of healthcare staff worked in ICUs, 8% in sub-intensive COVID-19 units and 7.6% in other front-line services, while the remaining staff worked in hospital units not directly engaged with COVID-19 patients. Overall, 63.2% of participants reported COVID-related traumatic experiences at work and 53.8% (95% CI 51.0%-56.6%) showed symptoms of post-traumatic distress; moreover, 50.1% (95% CI 47.9%-52.3%) showed symptoms of clinically relevant anxiety and 26.6% (95% CI 24.7%-28.5%) symptoms of at least moderate depression. Multivariable logistic regressions showed that women, nurses, healthcare workers directly engaged with COVID-19 patients and those with pre-existing psychological problems were at increased risk of psychopathological consequences of the pandemic. CONCLUSIONS: The psychological impact of the COVID-19 pandemic on healthcare staff working in a highly burdened geographical of north-east Italy is relevant and to some extent greater than that reported in China. The study provides solid grounds to elaborate and implement interventions pertaining to psychology and occupational health.

Mortality and cause of death among psychiatric patients: a 20-year case-register study in an area with a community-based system of care.

BACKGROUND: Most mortality studies of psychiatric patients published to date have been conducted in hospital-based systems of care. This paper describes a study of the causes of death and associated risk factors among psychiatric patients who were followed up over a 20-year period in an area where psychiatric care is entirely provided by community-based psychiatric services. METHOD: All subjects in contact with the South Verona Community-based Mental Health Service (CMHS) over a 20-year period with an ICD-10 psychiatric diagnosis were included. Of these 6956 patients, 938 died during the study period. Standardized mortality ratios (SMRs) and Poisson multiple regressions were used to assess the excess of mortality in the sample compared with the general population. RESULTS: The overall SMR of the psychiatric patients was 1.88. Mortality was significantly high among out-patients [SMR 1.71, 95% confidence interval (CI) 1.6-1.8], and higher still following the first admission (SMR 2.61, 95% CI 2.4-2.9). The SMR for infectious diseases was higher among younger patients and extremely high in patients with diagnoses of drug addiction (216.40, 95% CI 142.5-328.6) and personality disorders (20.87, 95% CI 5.2-83.4). CONCLUSIONS: This study found that psychiatric patients in contact with a CMHS have an almost twofold higher mortality rate than the general population. These findings demonstrate that, since the closure of long-stay psychiatric hospitals, the physical health care of people with mental health problems is often neglected and clearly requires greater attention by health-care policymakers, services and professionals.

Standard comparison of local mental health care systems in eight European countries.

AIMS: There is a need of more quantitative standardised data to compare local Mental Health Systems (MHSs) across international jurisdictions. Problems related to terminological variability and commensurability in the evaluation of services hamper like-with-like comparisons and hinder the development of work in this area. This study was aimed to provide standard assessment and comparison of MHS in selected local areas in Europe, contributing to a better understanding of MHS and related allocation of resources at local level and to lessen the scarcity in standard service comparison in Europe. This study is part of the Seventh Framework programme REFINEMENT (Research on Financing Systems' Effect on the Quality of Mental Health Care in Europe) project. METHODS: A total of eight study areas from European countries with different systems of care (Austria, England, Finland, France, Italy, Norway, Romania, Spain) were analysed using a standard open-access classification system (Description and Evaluation of Services for Long Term Care in Europe, DESDE-LTC). All publicly funded services universally accessible to adults (≥18 years) with a psychiatric disorder were coded. Care availability, diversity and capacity were compared across these eight local MHS. RESULTS: The comparison of MHS revealed more community-oriented delivery systems in the areas of England (Hampshire) and Southern European countries (Verona - Italy and Girona - Spain). Community-oriented systems with a higher proportion of hospital care were identified in Austria (Industrieviertel) and Scandinavian countries (Sør-Trøndelag in Norway and Helsinki-Uusimaa in Finland), while Loiret (France) was considered as a predominantly hospital-based system. The MHS in Suceava (Romania) was still in transition to community care. CONCLUSIONS: There is a significant variation in care availability and capacity across MHS of local areas in Europe. This information is relevant for understanding the process of implementation of community-oriented mental health care in local areas. Standard comparison of care provision in local areas is important for context analysis and policy planning.

The balance of adult mental health care: provision of core health versus other types of care in eight European countries.

AIMS: Although many mental health care systems provide care interventions that are not related to direct health care, little is known about the interfaces between the latter and core health care. 'Core health care' refers to services whose explicit aim is direct clinical treatment which is usually provided by health professionals, i.e., physicians, nurses, psychologists. 'Other care' is typically provided by other staff and includes accommodation, training, promotion of independence, employment support and social skills. In such a definition, 'other care' does not necessarily mean being funded or governed differently. The aims of the study were: (1) using a standard classification system (Description and Evaluation of Services and Directories in Europe for Long Term Care, DESDE-LTC) to identify 'core health' and 'other care' services provided to adults with mental health problems; and (2) to investigate the balance of care by analysing the types and characteristics of core health and other care services. METHODS: The study was conducted in eight selected local areas in eight European countries with different mental health systems. All publicly funded mental health services, regardless of the funding agency, for people over 18 years old were identified and coded. The availability, capacity and the workforce of the local mental health services were described using their functional main activity or 'Main Types of Care' (MTC) as the standard for international comparison, following the DESDE-LTC system. RESULTS: In these European study areas, 822 MTCs were identified as providing core health care and 448 provided other types of care. Even though one-third of mental health services in the selected study areas provided interventions that were coded as 'other care', significant variation was found in the typology and characteristics of these services across the eight study areas. CONCLUSIONS: The functional distinction between core health and other care overcomes the traditional division between 'health' and 'social' sectors based on governance and funding. The overall balance between core health and other care services varied significantly across the European sites. Mental health systems cannot be understood or planned without taking into account the availability and capacity of all services specifically available for this target population, including those outside the health sector.

Differences in the use of involuntary admission across the Veneto Region: which role for individual and contextual variables?

AIMS: The first aim of this study is to compare involuntary admissions across the Veneto Region in Italy. The second aim is to explore the relation between mental health services provision, characteristics of population, individual factors and involuntary admissions. METHODS: For 21 Mental Health Departments (MHDs) in the Veneto Region (Italy), the average population prevalence rate of involuntary admissions between 2000 and 2007 and the percentage of involuntary admissions were calculated. Chi-square tests for equality of proportions were used to test hypotheses. Variables at the individual, contextual and organisational levels were used in multiple regressions, with the involuntary admission data as dependent variables. RESULTS: The average prevalence rate of involuntary commitment was 12.75 ranging from 1.96 to 27.59 across MHDs . About 75% of the involuntary admissions referred to psychotic patients, and almost half of patients were aged 25-44. Significant differences among MHDs emerged; higher percentages of involuntary admissions were generally found in densely populated areas. Higher ageing indices and rates of social workers were found as predictors of the prevalence rate. In the multilevel regression, being males and psychotic significantly increased involuntary admissions, while the percentage of singles in population decreased it. CONCLUSIONS: This study contributes to define the specific contribution of each factor predicting the use of involuntary admission, even within areas under the same legislation. It shows how the inclusion of both individual and contextual factors may lead to better predictions and provides precious data for the services improvement.

[Systolic time intervals at rest in subjects under prolonged stress: a computerized analysis]. / Gli intervalli sistolici a riposo nel soggetto allenato allo sforzo prolungato: esperienza di analisi computerizzata.

Systolic time intervals were measured in 21 endurance-athletes (middle and lung distance runners) with a computerized method. Data from athletes were compared with that obtained in 27 age-matched normal untrained subjects. Endurance athletes showed significantly inferior values than normal untrained subjects of heart rate, total ejection time (TET), rapid ejection time (TER), electromechanical systole duration (QS2). Authors suggest that these results, particularly the reduction of TER at rest, could be due to a more rapid ejection rate primary or secondary to a left ventricular after-load reduction, following the cardiovascular adaptations induced by training in these athletes.

Client Socio-Demographic and Service Receipt Inventory--European Version: development of an instrument for international research. EPSILON Study 5. European Psychiatric Services: Inputs Linked to Outcome Domains and Needs.

BACKGROUND: Cross-cultural comparison of mental health service utilisation and costs is complicated by the heterogeneity of service systems. For data to be locally meaningful yet internationally comparable, a carefully constructed approach to its collection is required. AIMS: To develop a research method and instrument for the collection of data on the service utilisation and related characteristics of people with mental disorders, as the basis for calculating the costs of care. METHOD: Various approaches to the collection of service use data and key stages of instrument development were identified in order to select the most appropriate methods. RESULTS: Based on previous work, and following translation and cross-cultural validation, an instrument was developed: the Client Socio-Demographic and Service Receipt Inventory--European Version (CSSRI-EU). This was subsequently administered to 404 people with schizophrenia across five countries. CONCLUSION: The CSSRI-EU provides a standardised yet adaptable method for collating service receipt and associated data alongside assessment of patient outcomes.

The impact of non-adherence to medication in patients with schizophrenia on health, social care and societal costs. Analysis of the QUATRO study.

Aims. For people with schizophrenia, non-adherence to antipsychotic medications may result in high use of health and other services. The objective of our research was to examine the economic consequences of non-adherence in patients with schizophrenia taking antipsychotic medication. Methods. Data were taken from QUATRO, a randomized controlled trial that drew a sample of adults with schizophrenia receiving psychiatric services in four European cities: Amsterdam, Leipzig, London and Verona. Trial inclusion criteria were a clinical diagnosis of schizophrenia, requiring on-going antipsychotic medication for at least 1-year following baseline assessment, and exhibiting evidence of clinical instability in the year prior to baseline. The patient-completed Medication Adherence Questionnaire (MAQ) was used to calculate the 5-point Morisky index of adherence. Generalized linear models (GLM) were developed to determine the effect of adherence on (i) health and social care and (ii) societal costs before and after treatment, taking into account other potential cost-influencing factors. Results. The effect of non-adherence on costs was mixed. For different groups of services, and according to treatment group assignment, non-adherence was both negatively and positively associated with costs. Conclusions. The impact of non-adherence on costs varies across the types of services used by individuals with schizophrenia.

The difficult task of predicting the costs of community-based mental health care. A comprehensive case register study.

BACKGROUND: Previous studies have attempted to forecast the costs of mental health care, using clinical and individual variables; the inclusion of ecological measures could improve the knowledge of predictors of psychiatric service utilisation and costs to support clinical and strategic decision-making. METHODS: Using a Psychiatric Case Register (PCR), all patients with an ICD-10 psychiatric diagnosis, who had at least one contact with community-based psychiatric services in the Verona Health District, Northern Italy, were included in the study (N = 4558). For each patient, one year's total cost of care was calculated by merging service contact data with unit cost estimates and clinical and socio-demographic variables were collected. A socio-economic status (SES) index was developed, as a proxy of deprivation, using census data. Multilevel multiple regression models, considering socio-demographic and clinical characteristics of patients as well as socioeconomic local characteristics, were estimated to predict costs. RESULTS: The mean annual cost for all patients was 2,606.11 Euros; patients with an ongoing episode of care and with psychosis presented higher mean costs. Previous psychiatric history represented the most significant predictor of cost (36.99% R2 increase) and diagnosis was also a significant predictor but explained only 4.96% of cost variance. Psychiatric costs were uniform throughout the Verona Health District and SES characteristics alone contributed towards less than 1% of the cost variance. CONCLUSIONS: For all patients of community-based psychiatric services, a comprehensive model, including both patients' individual characteristics and socioeconomic local status, was able to predict 43% of variance in costs of care.

Avoidable mortality of psychiatric patients in an area with a community-based system of mental health care.

OBJECTIVE: To ascertain the existence of an excess of avoidable mortality among psychiatric patients in an area with a community-based system of care, to identify predictors of higher risk of avoidable mortality and to provide some possible indication to reduce avoidable mortality in modern psychiatric services. METHOD: All patients with an ICD-10 psychiatric diagnosis, living in a catchment area of about 75,000 inhabitants, seeking care in 1982-2001 were included (n = 6956). Mortality and causes of death were ascertained using linkage procedures with other local health databases. Standardized mortality ratios (SMRs) were calculated for each avoidable cause of death. RESULTS: The observed number of deaths for those causes considered avoidable by the European Community was four times greater than the expected (P < 0.01). SMR was higher for deaths preventable with adequate health promotion policies than for those preventable with appropriate health care. Males, alcohol/drug addicted and young patients have the highest avoidable SMRs. CONCLUSION: These findings urgently call for the implementation of health promotion and preventive programs targeted to psychiatric patients. Moreover, mental health services should improve the capacity to manage medical health problems of their patients.

Which factors affect the costs of psychiatric residential care? Findings from the Italian PROGRES study.

UNLABELLED: In the latest years, mental hospitals have gradually been replaced by a community-based network of facilities, including non-hospital residential facilities (RFs). Little information is still available about their costs. Our aims were to estimate the costs of Italian RFs and to evaluate which factors affect the cost of RFs and their patients. METHOD: A representative sample of 265 Italian RFs, hosting 2962 patients, was selected for the study. RFs costs and costs of psychiatric, medical and informal care were estimated. RESULTS: Patients in RFs cost between 7851 and 34 650 US$ per year; to this amount, it should be added from 2032 to 4702 US$ per year for the community psychiatric services (CPS). Significant differences were found by facility type, geographical areas, number of beds and age and diagnosis. About 45% of the variability for RF costs and 19% for CPS costs was explained by the regression models. CONCLUSION: The results can be useful to inform service planning and resource allocation.