Assessment of service use patterns in out-patients with schizophrenia: a Spanish study

A Method to Compare the Delivery of Psychiatric Care for People with Treatment-Resistant Schizophrenia

INTRODUCTION

Community services are gaining ground when it comes to attention to patients with psychiatric diseases. Regarding patients with treatment-resistant schizophrenia (TRS), the use of information and communication technology (ICT) could help to shift the focus from hospital-centered attention to community services. This study compares the differences in mental health services provided for patients with TRS in Budapest (Hungary), Tel-Aviv (Israel) and Catalonia (Spain) by means of a method for the quick appraisal of gaps among the three places, for a potential implementation of the same ICT tool in these regions.

METHODS

An adapted version of the Description and Standardised Evaluation of Services and Directories in Europe for Long Term Care (DESDE-LTC) instrument was made by researchers in Semmelweis University (Budapest, Hungary), Gertner Institute (Tel-Aviv, Israel) and Hospital de la Santa Creu I Sant Pau and Parc Sanitari Sant Joan de Déu (Catalonia, Spain).

RESULTS

Two types of outpatient care services were available in the three regions. Only one type of day-care facility was common in the whole study area. Two residential care services, one for acute and the other for non-acute patients were available in every region. Finally, two self-care and volunteer-care facilities were available in the three places.

CONCLUSION

Although the availability of services was different in each region, most of the services provided were sufficiently similar to allow the implementation of the same ICT solution in the three places.

Use of the self-organising map network (SOMNet) as a decision support system for regional mental health planning

Background

Decision-making in mental health systems should be supported by the evidence-informed knowledge transfer of data. Since mental health systems are inherently complex, involving interactions between its structures, processes and outcomes, decision support systems (DSS) need to be developed using advanced computational methods and visual tools to allow full system analysis, whilst incorporating domain experts in the analysis process. In this study, we use a DSS model developed for interactive data mining and domain expert collaboration in the analysis of complex mental health systems to improve system knowledge and evidence-informed policy planning.

Methods

We combine an interactive visual data mining approach, the self-organising map network (SOMNet), with an operational expert knowledge approach, expert-based collaborative analysis (EbCA), to develop a DSS model. The SOMNet was applied to the analysis of healthcare patterns and indicators of three different regional mental health systems in Spain, comprising 106 small catchment areas and providing healthcare for over 9 million inhabitants. Based on the EbCA, the domain experts in the development team guided and evaluated the analytical processes and results. Another group of 13 domain experts in mental health systems planning and research evaluated the model based on the analytical information of the SOMNet approach for processing information and discovering knowledge in a real-world context. Through the evaluation, the domain experts assessed the feasibility and technology readiness level (TRL) of the DSS model.

Results

The SOMNet, combined with the EbCA, effectively processed evidence-based information when analysing system outliers, explaining global and local patterns, and refining key performance indicators with their analytical interpretations. The evaluation results showed that the DSS model was feasible by the domain experts and reached level 7 of the TRL (system prototype demonstration in operational environment).

Conclusions

This study supports the benefits of combining health systems engineering (SOMNet) and expert knowledge (EbCA) to analyse the complexity of health systems research. The use of the SOMNet approach contributes to the demonstration of DSS for mental health planning in practice.

Electronic supplementary material

The online version of this article (10.1186/s12961-018-0308-y) contains supplementary material, which is available to authorized users.

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.

Patterns of service utilisation in psychosis: findings of the 2010 Australian national survey of psychosis

OBJECTIVE

This paper reports patterns of health service utilisation in the second Australian national survey of psychosis corresponding with changes in available services of this period.

METHOD

Semi-structured interviews were carried out of an age-stratified random sample of adults who screened positive for psychosis. Multivariate logistic regressions were used to identify predictors of service use for a sample of 1825 individuals.

RESULTS

Use of psychiatric inpatient services was associated with higher symptom levels, suicidal ideation, poor social functioning and younger age. High users of emergency mental health services similarly reported higher symptom levels, poor functioning and younger age, and also reported being married or in a de facto relationship. Recipients of general practitioner services had greater anxiety symptoms and suicidal thoughts, fewer negative symptoms, single marital status and English as their first language. Rehabilitation service use was associated with greater anxiety symptoms, unemployment, younger age of illness onset, living alone and having no dependent children living at home. Last, outpatient/community services were more frequently used by younger people with good premorbid adjustment, hallucinations and a less severe course of illness.

CONCLUSIONS

Service utilisation patterns vary with the clinical and socio-demographic features of those who use them - inpatient and emergency service users being similar in such features and differing from users of other services. Comparison with the first national survey of psychosis revealed a significant decline in acute inpatient service use and a substantial increase in the use of outpatient/community and rehabilitation services over the past 10 years.

Complex interaction between symptoms, social factors, and gender in social functioning in a community-dwelling sample of schizophrenia

Social functioning (SF) is the ultimate target aimed in treatment plans in schizophrenia, thus it is critical to know what are the factors that determine SF. Gender is a well-established variable influencing SF, yet it is not known how social variables and symptoms interact in schizophrenia patients. Furthermore, it remains unclear whether the interaction between social variables and symptoms is different in men compared to women. Our aim is to test whether social variables are better predictors of SF in community-dwelled individuals with schizophrenia, and whether men and women differ in how symptoms and social variables interact to impact SF. Community-dwelling individuals with schizophrenia (N = 231) were randomly selected from a register. Participants were assessed with symptom measures (PANSS), performance-based social scale (LSP), objective social and demographic variables. Stratification by gender and stepwise multivariate regression analyses by gender were used to find the best-fitting models that predict SF in both gender. Men had poorer SF than women in spite of showing similar symptom scores. On stepwise regression analyses, gender was the main variable explaining SF, with a significant contribution by disorganized and excitatory symptoms. Age of onset made a less marked, yet significant, contribution to explain SF. When the sample was stratified by gender, disorganized symptoms and 'Income' variable entered the model and accounted for a 30.8% of the SF variance in women. On the other hand, positive and disorganized symptoms entered the model and accounted for a 36.1% of the SF variance in men. Community-dwelling men and women with schizophrenia differ in the constellation of variables associated with SF. Symptom scores still account for most of the variance in SF in both genders.

Saúde mental e os planos de saúde no Brasil

O artigo analisa o regime de regulação da assistência à saúde mental implantado pela Agência Nacional de Saúde Suplementar. Descreve as condições observadas entre a provisão de serviços de saúde mental no setor de planos privados de assistência à saúde em relação à experiência internacional e ao Sistema Único de Saúde (SUS). O artigo demonstra que a assistência à saúde mental do setor apresenta as falhas associadas ao mercado de seguro saúde. As empresas de planos de saúde adotam mecanismos de copagamento, estabelecem limites de utilização para consultas ambulatoriais, enfatizam o tratamento dos casos graves por internação hospitalar de curta duração e oferecem residualmente serviços de suporte ao paciente após a alta. Existem evidências de um descompasso entre o processo de desinstitucionalização em curso no SUS e a regulação implantada pela ANS. Em fins da década de 2000, foi observada a expansão da quantidade das internações psiquiátricas que resultaram em taxas elevadas de admissão se comparadas ao setor público no Brasil.

Factors associated with use of community mental health services by schizophrenia patients using multilevel analysis

Background

Persons with schizophrenia and related disorders may be particularly sensitive to a number of determinants of service use, including those related with illness, socio-demographic characteristics and organizational factors. The objective of this study is to identify factors associated with outpatient contacts at community mental health services of patients with schizophrenia or related disorders.

Methods

This cross-sectional study analyzed 1097 patients. The main outcome measure was the total number of outpatient consultations during one year. Independent variables were related to socio-demographic, clinical and use of service factors. Data were collected from clinical records.

Results

The multilevel linear regression model explained 46.35% of the variance. Patients with significantly more contacts with ambulatory services were not working and were receiving welfare benefits (p = 0.02), had no formal education (p = 0.02), had a global level of severity of two or three (four being the most severe) (p < 0.001), with one or more inpatient admissions (p < 0.001), and in contact with both types of professional (nurses and psychiatrists) (p < 0.001). The patients with the fewest ambulatory contacts were those with diagnoses of persistent delusional disorders (p = 0.04) and those who were attended by four of the 13 psychiatrists (p < 0.001).

Conclusions

As expected, the variables that explained the use of community service could be viewed as proxies for severity of illness. The most surprising finding, however, was that a group of four psychiatrists was also independently associated with use of ambulatory services by patients with schizophrenia or related disorders. More research is needed to carefully examine how professional support networks interact to affect use of mental health.

Costs of depression in Catalonia (Spain)

OBJECTIVE

To estimate the cost of depression for the adult population in Catalonia (Spain) for 2006.

METHOD

The total adult population of Catalonia for the reference year was close to 6 million. A cross-design synthesis study was conducted, combining "top-down" and "bottom-up" data from secondary data sources, as well as expert opinion (nominal groups). A societal perspective was adopted. Estimates included direct health costs (hospital, primary, specialised and pharmacological care) and the indirect costs derived from the productivity lost due to morbidity and mortality. Sensitivity analyses were carried out for primary and specialised care resource utilisation. A Monte Carlo simulation model was developed to handle the uncertainty of the unit costs of primary care, specialised care and hospital visits.

RESULTS

The total annual cost of depression in Catalonia for 2006 was 735.4 million Euros. Of this figure, 21.2% corresponded to direct costs, including 41 million Euros in primary care (5.6%), 8.1 million Euros in mental health specialised care (1.1%), 5.6 million Euros due to hospitalisation (0.8%) and 101.1 million Euros due to pharmacological care (13.7%); and 78.8% to indirect costs due to productivity loss. 3.7 million work days were lost to temporary disability for depression with a cost of 199.6 million Euros (27.1%), and 353.3 million Euros due to permanent disability (48%). Mortality attributed to suicide accounted for 26.9 million Euros (3.7%). The average annual cost of an adult with depression was close to 1800 Euros.

LIMITATIONS

The heterogeneity of the data sources, the uncertainty in several estimates (i.e. proportion of psychotropic expenditure attributed to the treatment of depression, suicide rate attributed to depression), and the difficulty in disaggregating anxiety and depressive disorders in a number of databases are study limitations.

CONCLUSIONS

The burden of depression for the Catalan public health system and society as a whole due to the consumption of resources and, more importantly, the loss of productivity is significant. Inefficiencies may be found in the overuse of pharmaceuticals and in the eligibility criteria of disability for work.

The Malaga schizophrenia case-register (RESMA): overview of methodology and patient cohort

BACKGROUND

Little information has become available after psychiatric reforms regarding outcomes of persons with schizophrenia and related disorders cared for in community-based mental health facilities.

AIMS

The aim of this study was to determine the consequences of psychiatric services in the users of mental health services in Malaga.

METHOD

We describe the cohort and methods involved in the Schizophrenia Case Register (RESMA) in Malaga, Spain. All cases (n = 1,022) were users of public mental health services provided in the catchment area over one year. The majority were male (65%), single (68%), living with their original family (50%), with primary education (41%) and living on disability benefits (52%).

RESULTS

Concerning use of services, the majority had out-patient contacts (89%).

RESULT

s show a substantial overlap in the use of different services during the study period.

CONCLUSION

The Malaga Schizophrenia Case Register provides sociodemographic, clinical and service use information for a large sample of patients with schizophrenia or related disorders. Results obtained from the cohort studied will be instrumental for the follow-up and evaluation of the mental health care reform.

Social predictors of out-patient mental health contact in schizophrenia patients

INTRODUCTION

Since community-based health care was introduced, the use of mental health services by patients with serious mental disorders has been an issue of much interest. However, our knowledge of intervening factors is both scarce and partial.

OBJECTIVE

To study socio-demographic variables which may predict time-lapse (in days) between each out-patient contact among a cohort of schizophrenia patients.

METHOD

Data comes from the South Granada Schizophrenia Case Register. We used Cox's regression analysis to study the influence of the socio-demographic variables in the time lapsed between out-patient contacts.

RESULTS

After adjusting for all other socio-demographic variables included, we found that to live in a rural area and being younger independently predicted a longer time-lapse between out-patient contacts while being retired predicted a shorter interval between such contacts. Other variables such as sex, educational level and marital status did not determine such length between out-patients contacts.

CONCLUSION

Socio-demographic variables, and not only psychopathological ones, determine mental health out-patient service use.