How are caseload and service utilisation of psychiatric services influenced by distance? A geographical approach to the study of community-based mental health services

Geographic Access to Community Mental Healthcare and Adherence to Treatment Among Patients with Schizophrenia Spectrum Disorders

Non-adherence to antipsychotic medications is a commonly recognized problem that can lead to lack of follow-up for patients with schizophrenia spectrum disorders, increasing risk for psychotic symptoms, hospitalizations, and decreased quality of life. We conducted a secondary data analysis of electronic health record data of patients with schizophrenia spectrum disorders (n = 1,341) in Central Florida to explore relationships between geographic access to mental healthcare facilities, socioeconomic factors, and follow-up visits, and whether these conditions contributed to adherence over 1 years' time. Using Geographic Information Systems among six mental health facilities, spatial analysis and logistic regression indicated that patients had 27.9% increased odds (p = 0.02) of adherence to treatment when travel time to facilities was 30 min or less. Spatial autocorrelation revealed significant positive clusters in areas with low travel time (15 min or less). Patients who had Medicaid, a case manager and/or a life skills coach, medication side effects, a substance use disorders history, and/or closer proximity to mental healthcare services, had an increased likelihood of attending four or more follow-up visits in 1 year. Identifying effects of spatial and non-spatial variables on non-adherence to treatment can provide useful insights for developing targeted interventions to improve treatment outcomes.

Access to urban community mental health services: does geographical distance play a role?

PURPOSE

Mental health challenges are a pressing concern in Australia, which account for a significant portion of the disease burden and economic costs, yet a substantial number of those affected do not utilise necessary professional support. This study evaluates distance decay effect on adults' community mental health services in North Metropolitan Western Australia and explores factors influencing service use.

METHODS

Data were extracted from the Mental Health Information Data Collections including the records of consumers receiving face-to-face services from the Community Mental Health Clinics in the North Metro Health Service during March 2022 to March 2023. Additionally, socio-demographic information for each suburb and population data were obtained from the Australian Bureau of Statistics. The distance between residential suburbs and clinic locations was calculated. Descriptive statistics were used to describe the characteristics of the study population. A hierarchical linear regression analysis was used to explore whether the distance of suburb to the nearest community clinic was related to service utilisation.

RESULTS

A total of 3,453 consumers received direct services across the North Metro Health Service Community Mental Health Clinics. Findings highlighted the impact of proximity to clinics on service utilisation, with suburbs closer to clinics exhibiting higher visit rates (p = 0.004). The data also showed a strong positive correlation between gender (percentage of females in the suburb) and living in socially and economically disadvantaged areas with consumer visits per thousand residents.

CONCLUSIONS

These findings underscore the importance of addressing accessibility barriers and tailoring mental health services to meet the diverse needs of the community.

Place-Based FACT: Treatment Outcomes and Patients' Experience with Integrated Neighborhood-Based Care

Locating specialized mental healthcare services in the neighborhood of people with severe mental illnesses (SMI) has been suggested as a way of improving treatment outcomes by increasing patient engagement and integration with the local care landscape. The current mixed methods study aimed to examine patient experience and treatment outcomes in three Flexible Assertive Community Treatment (FACT) teams that relocated to the neighborhood they served, compared to seven teams that continued to provide FACT as usual from a central office. Routine Outcome Measurement (ROM) and care use data were analyzed to compare change in treatment outcomes for patients in place-based FACT (n = 255) and FACT as usual (n = 833). Additionally, retrospective in-depth interviews were conducted with twenty patients about their experience with place-based FACT. Quantitative analysis showed mental health admission days decreased more in place-based than FACT as usual, although this difference was small. Both groups showed improved quality of life, psychosocial functioning, and symptomatic remission rates, and decreased unmet and overall needs for care. There was no change over time in met needs for care, employment, and daily activities. Qualitative analysis showed that patients experienced place-based FACT as more accessible, a better safety net, a more personal approach, better integrated with other forms of care, involving their social network, and embedded in their neighborhood and daily environment. This study showed that location and integration matter to patients, and the long term impact of place-based FACT on treatment outcomes should be explored.

[Distance Decay Effects in a Swiss Mental Health Services System]

OBJECTIVE

To investigate psychiatric service use depending on distances (travel times) to inpatient and outpatient service sites.

METHODS

Retrospective cohort analysis of all patients aged 18-64 years who had been treated in a Swiss psychiatric services system in 2022.

RESULTS

Outpatient service utilization rates decreased statistically significantly with increasing distance (travel time by public transportation) between the place of residence and the responsible outpatient clinic. For inpatient utilization, the distance decay effects were much less strong and did not always reach a statistically significant level.

CONCLUSION

In an easily accessible and economically reasonable psychiatric services system, inpatient and specialized services should be organized centrally, while general outpatient psychiatric services should be planned decentralized and close to the communities where people live.

Spatial and Environmental Correlates of Prevalence of Treatment for Substance Use Disorders, Retention, and SUD Services Utilization in South Sardinia

This study explored the economic, social, and spatial correlates of treatment prevalence, retention, and service utilization for substance use disorder (SUD) in South Sardinia. Data from 1,667 patients with an ICD-10 diagnosis of SUD were extracted from the medical records of individuals assisted by three public addiction services in 2019. We used a spatial autoregressive model, a parametric proportional hazard model, and Poisson regression to examine the associations of spatial factors and residents' socioeconomic status with the prevalence of treatment at the census block level, treatment retention, and SUD service utilization at the individual level. The prevalence was higher among residents of areas closer to competent treatment centers, with the worst building conservation status, a lower percentage of high school and university graduates, and a higher percentage of unemployed, divorced, separated, or widowed residents. Men who were older at the time of their first treatment access; primary users of cocaine, cannabis, and alcohol; had higher education level; and who lived far from competent treatment centers and closer to drug trafficking centers interrupted their treatment earlier. Primary heroin users experienced more SUD treatment encounters. Living in economically and socially disadvantaged areas and near treatment facilities was associated with a higher prevalence, whereas living near drug-dealing centers and far from competent treatment centers was associated with a decrease in treatment retention.

First-contact patients with a community mental health service in rural Greece: A 3-year prospective study of treatment attendance and its co-relations

BACKGROUND

Treatment continuation is essential for the optimal management of patients with mental disorders in the community, but treatment and outcome are often undermined by the high rates of service disengagement and treatment non-adherence across all psychiatric diagnoses. The phenomenon may be even more relevant in rural settings.

AIMS

The aim of the present study was to explore attendance to treatment in first-contact patients in a community-based treatment setting in rural Greece and to explore the associations of treatment attendance with demographic and clinical factors.

METHOD

Data were collected prospectively over a 3-year period, with 1-year follow-up interval. All first-contact cases with the Mobile Mental Health Unit of the prefectures of Ioannina and Thesprotia (MMHU I-T), Northwest Greece were considered, but only clinical cases were processed.

RESULTS

The sample size consisted of 446 patients, with a mean age 65.4 ± 18.8 years. The rate of 12-month attendance to mental health treatment was 13.5% (60 out of 446 patients). Treatment attendance was found to be correlated with younger age, the diagnosis of schizophrenia-spectrum disorder, and patients' referral by other psychiatric services. First examination over the year 2019 had been significantly inversely associated with treatment engagement.

CONCLUSION

Rates of subsequent attendance after initial assessment in a rural community mental healthcare setting were rather low in the present study. Several variables that have been previously associated with service engagement were found to be related in this study too, whereas other were not. Research on treatment engagement in rural treatment settings should be ongoing to reveal all associated factors.

The role of mesolevel characteristics of the health care system and socioeconomic factors on health care use - results of a scoping review

BACKGROUND

Besides macrolevel characteristics of a health care system, mesolevel access characteristics can exert influence on socioeconomic inequalities in healthcare use. These reflect access to healthcare, which is shaped on a smaller scale than the national level, by the institutions and establishments of a health system that individuals interact with on a regular basis. This scoping review maps the existing evidence about the influence of mesolevel access characteristics and socioeconomic position on healthcare use. Furthermore, it summarizes the evidence on the interaction between mesolevel access characteristics and socioeconomic inequalities in healthcare use.

METHODS

We used the databases MEDLINE (PubMed), Web of Science, Scopus, and PsycINFO and followed the 'Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols extension for scoping reviews (PRISMA-ScR)' recommendations. The included quantitative studies used a measure of socioeconomic position, a mesolevel access characteristic, and a measure of individual healthcare utilisation. Studies published between 2000 and 2020 in high income countries were considered.

RESULTS

Of the 9501 potentially eligible manuscripts, 158 studies were included after a two-stage screening process. The included studies contained a wide spectrum of outcomes and were thus summarised to the overarching categories: use of preventive services, use of curative services, and potentially avoidable service use. Exemplary outcomes were screening uptake, physician visits and avoidable hospitalisations. Access variables included healthcare system characteristics such as physician density or distance to physician. The effects of socioeconomic position on healthcare use as well as of mesolevel access characteristics were investigated by most studies. The results show that socioeconomic and access factors play a crucial role in healthcare use. However, the interaction between socioeconomic position and mesolevel access characteristics is addressed in only few studies.

CONCLUSIONS

Socioeconomic position and mesolevel access characteristics are important when examining variation in healthcare use. Additionally, studies provide initial evidence that moderation effects exist between the two factors, although research on this topic is sparse. Further research is needed to investigate whether adapting access characteristics at the mesolevel can reduce socioeconomic inequity in health care use.

Equal access to outreach mental health care? Exploring how the place of residence influences the use of intensive home treatment in a rural catchment area in Germany

BACKGROUND

Internationally, intensive psychiatric home treatment has been increasingly implemented as a community-based alternative to inpatient admission. Since 2018, the so-called Inpatient Equivalent Home Treatment (IEHT; German: "Stationsäquivalente Behandlung", short: "StäB") has been introduced as a particularly intensive form of home treatment that provides at least one daily treatment contact in the service users' (SU) home environment. Prior research shows that this can be challenging in rural catchment areas. Our paper investigates to which extent the location of the SU home location within the catchment area as well as the distance between the home and the clinic influence the utilisation of inpatient treatment compared to IEHT.

METHOD

Routine data of one psychiatric hospital in the federal state of Brandenburg in Germany were analysed for the observational period 07/2018-06/2021. Two comparison groups were formed: SU receiving inpatient treatment and SU receiving IEHT. The SU places of residence were respectively anonymised and converted into geo-coordinates. A geographic information system (GIS) was used to visualise the places of residence, and car travel distances as well as travel times to the clinic were determined. Spatial analyses were performed to show the differences between comparison groups. In a more in-depth analysis, the proximity of SU residences to each other was examined as an indicator of possible clustering.

RESULTS

During the observational period, the location of 687 inpatient and 140 IEHT unique SU were mapped using the GIS. SU receiving treatment resided predominantly within the catchment area, and this proportion was slightly higher for SU receiving IEHT than for those treated in inpatient setting (95.3% vs. 84.7%). In the catchment area, the geographical distribution of SU place of residence was similar in the two groups. There was a general higher service provision in the more densely populated communities close to Berlin. SU with residence in peripheral communities were mainly treated within the inpatient setting. The mean travel times and distances to the place of residence only differed minimally between the two groups of SU (p > 0.05). The places of residence of SU treated with IEHT were located in greater proximity to each other than those of SU treated in inpatient setting (p < 0.1).

CONCLUSION

In especially peripheral parts of the examined catchment area, it may be more difficult to have access to IEHT rather than to inpatient services. The results raise questions regarding health equity and the planning of health care services and have important implications for the further development of intensive home treatment. Telehealth interventions such as blended-care approaches and an increase of flexibility in treatment intensity, e.g. eliminating the daily visit requirement, could ease the implementation of intensive home treatment especially in rural areas.

Exploring the barriers and facilitators to accessing and utilising mental health services in regional, rural, and remote Australia: A scoping review protocol

INTRODUCTION

Australians from regional, rural, and remote areas face diverse and complex challenges in accessing and utilising mental health services. Previous research has pointed to a range of individual, community, structural, and systemic barriers at play, however, limited literature has synthesised the knowledge on this topic. Parallel to this, information on the facilitators to accessing and utilising mental health services for this group is not well documented. This protocol describes the methodology to undertake a scoping review, which aims to explore the barriers and facilitators associated with accessing and utilising mental health services in regional, rural, and remote Australia. In addition, the scoping review aims to geographically map the identified barriers and facilitators.

METHODS

This protocol is guided by Arksey and O'Malley's methodological framework. A search strategy will be developed and implemented to identify relevant peer-reviewed and grey literature. Studies will be included if they report on the barriers and/or facilitators associated with accessing and/or utilising mental health services in regional, rural, and remote Australia. Two reviewers will independently screen the data at the title/abstract and full-text stage. One reviewer will extract the relevant data using a predetermined charting form and a second reviewer will validate the included data. A Geographical Information System program will be used to map the location of the studies; locations will be stratified according to the Modified Monash Model and relationships between barriers and facilitators will be analysed. Key findings will be presented in a narrative account and in text, tables, and maps.

DISCUSSION

This scoping review will provide a contemporary account on the barriers and facilitators to accessing and utilising mental health services for regional, rural, and remote Australians. It is anticipated that the results of this scoping review will have national policy relevance and may be useful to healthcare providers.

Association of travel time with mental health service use in primary health care according to contact type - a register-based study in Kainuu, Finland

BACKGROUND

The study aim was to analyse how mental health services are used in different parts of the Kainuu region in Finland and whether travel time to primary health care services is associated with the use of different contact types (in-person visits, remote contacts, home visits).

METHODS

The study population included adults who had used mental health services under primary health care (N = 7643) between 2015 and 2019. The travel times to the nearest health centre in a municipality were estimated as the population-weighted average drive time in postal code areas. The Kruskal-Wallis test and pairwise comparisons with Dunn-Bonferroni post hoc tests were used to assess the differences in mental health service use between health centre areas. A negative binomial regression was performed for the travel time categories using different contact types of mental health service use as outcomes. Models were adjusted for gender, age, number of mental health diseases and the nearest health centre in the municipality.

RESULTS

Distance was negatively associated with mental health service use in health centre in-person visits and in home visits. In the adjusted models, there were 36% fewer in-person visits and 83% fewer home visits in distances further than 30 min, and 67% fewer home visits in a travel time distance of 15-30 min compared with 15 min travel time distance from a health centre. In the adjusted model, in remote contacts, the incidence rate ratios increased with distance, but the association was not statistically significant.

CONCLUSIONS

The present study revealed significant differences in mental health service use in relation to travel time and contact type, indicating possible problems in providing services to distant areas. Long travel times can pose a barrier, especially for home care and in-person visits. Remote contacts may partly compensate for the barrier effects of long travel times in mental health services. Especially with conditions that call for the continuation and regularity of care, enabling factors, such as travel time, may be important.

Internalizing-Externalizing Comorbidity and Impaired Functioning in Children

BACKGROUND

The comorbidity of mental illnesses is common in child and adolescent psychiatry. Children with internalizing-externalizing comorbidity often experience worse health outcomes compared to children with a single diagnosis. Greater knowledge of functioning among children with internalizing-externalizing comorbidity can help improve mental health care.

OBJECTIVE

The objective of this exploratory study was to examine whether internalizing-externalizing comorbidity was associated with impaired functioning in children currently receiving mental health services.

METHODS

The data came from a cross-sectional clinical sample of 100 children aged 4-17 with mental illness and their parents recruited from an academic pediatric hospital. The current mental illnesses in children were measured using the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID), and the level of functioning was measured using the World Health Organization Disability Assessment Schedule (WHODAS) 2.0. Linear regression was used to estimate the association between internalizing-externalizing comorbidity and level of functioning, adjusting for demographic, psychosocial, and geographic covariates.

RESULTS

Internalizing-externalizing comorbidity in children was associated with worse functioning compared to children with strictly internalizing comorbidities, β = 0.32 (p = 0.041). Among covariates, parent's psychological distress, β = 0.01 (p = 0.004), and distance to the pediatric hospital, β = 0.38 (p = 0.049) were associated with worse functioning in children.

CONCLUSIONS

Health professionals should be mindful that children with internalizing-externalizing comorbidity may experience worsening functioning that is disruptive to daily activities and should use this information when making decisions about care. Given the exploratory nature of this study, additional research with larger and more diverse samples of children is warranted.

A comparative study of two Mobile Mental Health Units in different catchment rural areas in Greece

BACKGROUND

Mental healthcare service delivery in rural and remote areas in Greece is challenging due to socioeconomic and geographical reasons, and distant facilities. To address the needs of the underserved areas, the Greek state has launched a number of Mobile Mental Health Units (MMHUs).

AIM

The objective of the present study was to explore the differences among two MMHUs, one being run by a university general hospital (MMHU UHA) and the other being run by a nongovernmental organization (MMHU I-T).

METHODS

The two MMHUs deliver services in rural areas of northeast and northwest Greece, respectively. Both MMHUs use the infrastructures of the primary healthcare system and have the potential for domiciliary visits.

RESULTS

Medical and nursing staff is much more in the MMHU UHA, whereas MMHU I-T has more psychologists, social workers and health visitors. Patients attended the MMHU I-T were significantly older than the patients attended the MMHU UHA (mean age 64.5 vs. 55.3 years) and the percentage of the elderly patients in treatment with the MMHU I-T (56.5%) is significantly higher than the corresponding percentage of the MMHU UHA (20%). The proportion of patients that received home-based care by the two MMHUs was almost identical. The percentage of patients with schizophrenia spectrum disorders that attended the MMHU UHA was significantly higher. Patients with affective disorders, anxiety disorders and organic brain disorders that attended the MMHU I-T were significantly more.

CONCLUSIONS

Despite the similarities among the MMHUs in rural Greece, this study recorded some important differences. The differences in staffing may be accounted for by the availability of resources. The differences in the patients' population may be explained by the fact that the MMHU UHA was designed from its beginning to treat patients with severe mental illnesses, mainly psychoses, and it accepts loss of referrals within the general hospital's network of psychiatric services. The MMHU I-T is an independent, locally based service that may be better perceived as an expansion of the primary care system. The results of the study could inform service practice and mental health policy.

The Greek Hybrid Version of the Assertive Community Treatment Model: A Perspective View between Challenges and Limitations

The Assertive Community Treatment (ACT) model of care has been long considered to be effective in the management of patients with severe mental illness (SMI) in most Western countries. The implementation of the original ACT model may be particularly challenging in rural and remote communities with small and dispersed populations and lack of adequate mental health services. Rural programs may have to adapt the model and modify the ACT fidelity standards to accommodate these limitations, and this is the rationale for the introduction of more flexible, hybrid ACT models. In rural Greece, the so called Mobile Mental Health Units (MMHUs) are well-established community mental health services. For patients with SMI that have difficulties engaging with treatment services, the new hybrid ACT model has been recently launched. The objective of this manuscript is to present the recently launched hybrid ACT model in rural areas in Greece and to explore the challenges and limitations in its implementation from the experience of a team of mental health professionals with ACT experience. Referral criteria have not been strictly set, but the number of previous relapses and hospitalizations is taken under consideration, as well as the history of poor treatment adherence and disengagement from mental health services. The main limitation in the implementation of the hybrid ACT service is that it has been introduced in several areas in the absence of a pre-existing community mental health service. This may impact referrals and limit focus on the difficult cases of patients with SMI, thus making the evaluation of the model inapplicable.

Decrease of Hospitalizations and Length of Hospital Stay in Patients with Schizophrenia Spectrum Disorders or Bipolar Disorder Treated in a Mobile Mental Health Service in Insular Greece

In recent years serious mental health issues, such as schizophrenia spectrum disorders and bipolar disorder, have been treated in the community by community-based mental health services. In the present study our goal was to estimate the modification in the number of hospitalizations and duration of admissions in either psychotic patients or patients with bipolar disorder, treated by a Mobile Mental Health Unit in the islands of Kefalonia, Zakynthos and Ithaca (MMHU-KZI). Data were collected from a total of 108 patients with schizophrenia spectrum disorders and bipolar disorder. For each patient comparison was made for the same time interval prior and after engagement to treatment with the MMHU-KZI and not for the total hospitalizations that patients had in their history. There was a statistically significant reduction (45.9%) in hospitalizations after treatment engagement with the MMHU-KZI, as the Wilcoxon signed ranks test indicated. Furthermore, a major decrease (54.5%) of hospitalization days was noted after treatment engagement with the unit. This pattern of mental health provision may be beneficial for the reduction of the number and duration of psychiatric hospitalizations. Despite the beneficial contribution of community-based mental health units, hospital based treatment should always be available, since severe relapses are better treated in inpatient setting.

Research on psychotic disorders in rural areas: Recent advances and ongoing challenges

BACKGROUND

Research on patients with chronic psychotic disorders in rural areas is scarce. Those patients may not receive adequate mental health care. Mental health disparities among rural and urban areas have been recognized.

AIMS

This review aims to present the most recent research on psychotic disorders in rural areas.

METHOD

We conducted a search in the PubMed and Scopus databases. The search involved articles published over the last decade (2011-2020). All types of research design were included, if studies had used a controlled group of urban patients and reported on the differences among rural/urban residents with psychotic disorders. The focus of the review was on outcome and treatment.

RESULTS

A total of 12 studies were included in this review. Most have been conducted in China or India. Reports from Western countries are rare. Outcome studies showed that employment rates are significantly higher in rural patients, as well as rates of marriage in women. It is not clear what is the impact of those outcomes on patients' lives. The finding of lower cost of psychotic disorders in some rural areas, should be viewed with scepticism. Studies on treatment aspects suggested that rural patients were less likely to receive antipsychotics, antipsychotic combination or clozapine. Those results were attributed to limited access to specialized treatment. When rural patients receive specialized community care they seem to have better outcomes than urban patients.

CONCLUSION

There is an ongoing, but still scarce research on patients with chronic psychotic disorders in rural areas. Researchers pointed out the impact of socioeconomic inequalities on outcome and treatment, and stressed the importance of minimizing mental health disparities. These findings may have potential implications for future research; for the introduction of accessible, locally based mental health services in rural areas; and for political initiatives that would address poverty and social inequalities.

The Effect of High-Density Built Environments on Elderly Individuals' Physical Health: A Cross-Sectional Study in Guangzhou, China

The built environment refers to the objective material environment built by humans in cities for living and production activities. Existing studies have proven that the built environment plays a significant role in human health, but little attention is paid to the elderly in this regard. At the same time, existing studies are mainly concentrated in Western developed countries, and there are few empirical studies in developing countries such as China. Based on POI (point of interest) data and 882 questionnaires collected from 20 neighborhoods in Guangzhou, we employ multilevel linear regression modeling, mediating effect modeling, to explore the path and mechanism of the impact of the built environment on elderly individuals' physical health, especially the mediating effects of physical and social interaction activity. The results show that the number of POIs, the distance to the nearest park and square, and the number of parks and squares are significantly positively correlated with the physical health of the elderly, while the number of bus and subway stations and the distance to the nearest station are significantly negatively correlated. Secondly, physical activity and social networks play a separate role in mediating the effect of the built environment on elderly individuals' physical health. The results enrich the research on the built environment and elderly individuals' health in the context of high-density cities in China and provide some reference basis for actively promoting spatial intervention and cultivating a healthy aging society.

Psychiatric readmission rates in a multi-level mental health care system - a descriptive population cohort study

BACKGROUND

Readmission rates are frequently used as a quality indicator for health care, yet their validity for evaluating quality is unclear. Published research on variables affecting readmission to psychiatric hospitals have been inconsistent. The Norwegian specialist mental health care system is characterized by a multi-level structure; hospitals providing specialized -largely unplanned care and district psychiatric centers (DPCs) providing generalized -more often planned care. In certain service systems, readmission may be an integral part of individual patients' treatment plan. The aim of the present study was to describe and examine the task division in a multi-level health care system. This we did through describing differences in patient population (age, sex, diagnosis, substance abuse comorbidity and length of stay) and admissions types (unplanned vs. planned) treated at different levels (hospital, DPC or both), and by examining whether readmission risk differ according to type and place of treatment of index-admission and travel-time to nearest hospital and DPC.

METHODS

In this population-based cohort study using administrative data we included all individuals aged 18 and older who were discharged from psychiatric inpatient care with an ICD-10 diagnosis F2-F6 ("functional mental disorders") in 2012. Selecting each individual's first discharge during 2012 as index gave N = 16,185 for analyses following exclusions. Analysis of readmission risk were done using Kaplan-Maier failure curves.

RESULTS

Overall, 15.1 and 47.7% of patients were readmitted within 30 and 365 days, respectively. Unplanned admission patients were more likely to be readmitted within 30 days than planned patients. Those transferred between hospital and DPC during index admission were more likely to be readmitted within 365 days, and to experience planned readmission. Patients with short travel time were more likely to have unplanned readmission, while patients with long travel time were more likely to have planned readmission.

CONCLUSIONS

DPCs and hospitals fill different purposes in the Norwegian health care system, which is reflected in different patient populations. Differences in short term readmission rates between hospitals and DPCs disappeared when type of admission (unplanned/planned) was considered. The results stress the importance of addressing differences in organisation and task distribution when comparing readmission rates between mental health systems.

Early physical rehabilitation therapy between 24 and 48 h following acute ischemic stroke onset: a randomized controlled trial

PURPOSE

Early mobilization is believed to be helpful for patients with acute ischemic stroke. This study aimed to compare the difference between starting rehabilitation between 24 and 48 h and 72 and 96 h following the onset of ischemic stroke.

MATERIALS AND METHODS

This was a single-center, single-blind, randomized controlled trial. The early rehabilitation (ER) group started exercising between 24 and 48 h after stroke onset, which the standard rehabilitation (SR) group started exercising between 72 and 96 h. The two groups received sitting, standing, and repetitive body strength training respectively.

RESULTS

In this study, 110 patients were analyzed. Patients in the early rehabilitation group had more favorable outcomes (The modified Rankin scale score 0-2, ER group = 32 versus SR group = 20, adjusted odds ratio 2.27, 95% CI 1.05-4.87; p = 0.036) at 3-month follow-up. The simplified Fugl-Meyer assessment (FMA) scores for the lower extremity were influenced by the interaction effect (F = 7.24, p = 0.01). The post-hoc analysis revealed a difference in the lower extremity FMA score at one week after stroke (difference 2.30 (95% CI 0.65-3.96); p = 0.007).

CONCLUSIONS

Early physical rehabilitation training between 24 and 48 h may be beneficial and improve patients' lower extremity function within the first week.

CLINICAL TRIAL REGISTRATION UNIQUE IDENTIFIER

NCT02718534Implications for rehabilitationAcute ischemic stroke has a variety of symptoms, and acroparalysis is a major concern.Starting physical rehabilitation early can improve the prognosis of patients with ischemic stroke.Early rehabilitation is more conducive to the recovery of lower extremity motor function, but in the subsequent rehabilitation process, the upper extremity function should be paid more attention.

Spatial inequities of mental health nurses in rural and remote Australia

Despite an increased burden from chronic mental health conditions, access to effective mental health services in rural and remote areas is limited, and these services remain spatially undefined. We examine the spatial availability of mental health nurses across local government areas in Australia and identify gaps in mental health service delivery capacity in a finer-grained level than the state/territory data. A spatial distribution of mental health nurses was conducted. We utilized the 2017 National Health Workforce Dataset which was aggregated to LGA level based on the 2018 Australian Bureau Statistics (ABS) Data. The availability of mental health nurses was measured using the full time equivalent (FTE) rates per 100 000 population. We calculated the proportion of LGAs with zero total FTE rates based on remoteness categories. We also compared the mean of total FTE rates based on remoteness categories using analysis of variance. A spatial distribution of mental health nurses was visualized using GIS software for total FTE rates. Our analysis included 544 LGA across Australia, with 24.8% being defined as remote and very remote. The mean total FTE for mental health nurses per 100 000 populations is 56.6 (±132.2) with a median of 17.4 (IQR: 61.8). A wide standard deviation reflects unequal distribution of mental health nurses across LGAs. The availability of total FTE rates for mental health nurses per 100 000 populations is significantly lower in remote and very remote LGAs in comparison with major cities. As many as 35.1% of LGAs across Australia have no FTE for mental health nurses with 46% are remote and very remote. Our study reflects the existing unequal distribution of mental health nurses between metropolitan/urban setting and rural and remote areas. We suggest three broad strategies to address these spatial inequities: improving supply and data information systems; revisiting task-shifting strategies, retraining the existing health workforce to develop skills necessary for mental health care to rural and remote communities; and incorporating the provision of mental health services within expanding innovative delivery models including consumer-led, telemedicine and community-based groups.

Mental Health Care Access Using Geographic Information Systems: An Integrative Review

A decade after the Mental Health Parity and Addiction Equity Act was implemented to ensure access to mental health and substance abuse services for U.S. citizens, accessing mental health care still is problematic for many needing services. More than 123 million Americans reside in federally-designated Mental Health Professional Shortage Areas (MHPSA) compared to 84 million living in similarly-designated primary care shortage areas and 62 million in dental health shortage areas. Health professional shortage areas are geographic areas that have a shortage of primary medical, dental, or mental health providers. Geographic Information Systems (GIS) with spatial analysis approaches provide tools to understand the ever-changing distribution of health care, outcomes, and delivery to improve care. The aim of this integrative review is to describe and synthesize the literature on GIS approaches to improve access to mental health care services. GIS Bibliography, PubMed, CINAHL, PsycINFO, Academic Search Premier, Social Sciences Citation Index, and Oalster were searched for articles between January 1, 1998 and January 1, 2018 that met established inclusion/exclusion criteria. Among the 138 articles reviewed, 18 met criteria and were included in the review. GIS approaches to improve access to mental health care can be categorized as (1) type of care (integrated, community), (2) contributions to access (distance, time, cost, perception of traveling, inequalities), and (3) the utilization of services. Results from the literature suggest closer examination of measures used to assess geographic variations in accessibility is needed for ultimately improving quality of care for people in MHPSA.

Distance to health services and treatment-seeking for depressive symptoms in rural India: a repeated cross-sectional study

AIMS

Research from high-income countries has implicated travel distance to mental health services as an important factor influencing treatment-seeking for mental disorders. This study aimed to test the extent to which travel distance to the nearest depression treatment provider is associated with treatment-seeking for depression in rural India.

METHODS

We used data from a population-based survey of adults with probable depression (n = 568), and calculated travel distance from households to the nearest public depression treatment provider with network analysis using Geographic Information Systems (GIS). We tested the association between travel distance to the nearest public depression treatment provider and 12 month self-reported use of services for depression.

RESULTS

We found no association between travel distance and the probability of seeking treatment for depression (OR 1.00, 95% CI 0.98-1.02, p = 0.78). Those living in the immediate vicinity of public depression treatment providers were just as unlikely to seek treatment as those living 20 km or more away by road. There was evidence of interaction effects by caste, employment status and perceived need for health care, but these effect sizes were generally small.

CONCLUSIONS

Geographic accessibility - as measured by travel distance - is not the primary barrier to seeking treatment for depression in rural India. Reducing travel distance to public mental health services will not of itself reduce the depression treatment gap for depression, at least in this setting, and decisions about the best platform to deliver mental health services should not be made on this basis.

Neighborhood Environment and Type 2 Diabetes Comorbidity in Serious Mental Illness

Aim: The aim of this study was to examine the association between neighborhood characteristics and type 2 diabetes (T2D) comorbidity in serious mental illness (SMI). We investigated associations of neighborhood-level crime, accessibility to health care services, availability of green spaces, neighborhood obesity, and fast food availability with SMI-T2D comorbidity. Method: A series of multilevel logistic regression models accounting for neighborhood-level clustering were used to examine the associations between 5 neighborhood variables and SMI-T2D comorbidity, sequentially adjusting for individual-level variables and neighborhood-level socioeconomic disadvantage. Results: Individuals with SMI residing in areas with higher crime rates per 1000 population had 2.5 times increased odds of reporting T2D comorbidity compared to the individuals with SMI residing in lower crime rate areas after controlling for individual and areal level factors (95% CI 0.91-6.74). There was no evidence of association between SMI-T2D comorbidity and other neighborhood variables investigated. Conclusion: Public health strategies to reduce SMI-T2D comorbidity might benefit by targeting on individuals with SMI living in high-crime neighborhoods. Future research incorporating longitudinal designs and/or mediation analysis are warranted to fully elucidate the mechanisms of association between neighborhoods and SMI-T2D comorbidity.

Mental Health Care Delivery for Older Adults in Rural Greece: Unmet Needs

Mental disorders may go unrecognized and undertreated in older adults. This is the rationale for the launch of specialized mental health services for the elderly in high resourced settings. Rural areas, however, do not receive adequate mental health care owing to socioeconomic and geographical reasons, and this is the case of rural Greece, where research on mental health of the elderly is scarce. This article discusses the challenges of providing mental health care for older adults in rural Greece and the available options. Care can be delivered through the existing rural mental health services that are the mobile mental health units and through the primary care physicians. Training in psychogeriatrics for the personnel of the former and in mental health for the latter is warranted.

Outpatient clinics treating substance use disorders in Northwest Russia and Northern Norway: a descriptive comparative study

Both in Norway and Russia a considerable portion of the population have substance use disorders. However, the knowledge about outpatient services treating substance use disorders in Norway and Russia is limited. This study will describe and compare outpatient clinics treating substance use disorders in Arkhangelsk in Northwest Russia and in Bodø and Tromsø in Northern Norway on availability, accessibility and treated prevalence (patients treated in one year). The managers (N=3) of the outpatient clinics (N=3) were interviewed with the European Service Mapping Schedule (ESMS) and the International Classification of Mental Health Care (ICMHC). The interviews were supplemented by e-mail and phone calls. The treatment in Arkhangelsk was mainly biologically oriented (medical), while a greater variety of methods was available in Bodø and Tromsø. The clinic in Russia was a drop-in clinic, while in Norway patients needed a referral to get an appointment in the clinic. Patients treated in Arkhangelsk (treated prevalence) was 1662, while in Bodø it was 233 and in Tromsø 220. The present study revealed great differences between the clinics involved in accessibility, availability and treated prevalence. Cultural traditions and budgeting of the mental health care system could explain some of the findings.

Factors associated with health service utilisation for common mental disorders: a systematic review

BACKGROUND

There is a large treatment gap for common mental disorders (CMD), with wide variation by world region. This review identifies factors associated with formal health service utilisation for CMD in the general adult population, and compares evidence from high-income countries (HIC) with that from low-and-middle-income countries (LMIC).

METHODS

We searched MEDLINE, PsycINFO, EMBASE and Scopus in May 2016. Eligibility criteria were: published in English, in peer-reviewed journals; using population-based samples; employing standardised CMD measures; measuring use of formal health services for mental health reasons by people with CMD; testing the association between this outcome and any other factor(s). Risk of bias was assessed using the adapted Mixed Methods Appraisal Tool. We synthesised the results using "best fit framework synthesis", with reference to the Andersen socio-behavioural model.

RESULTS

Fifty two studies met inclusion criteria. 46 (88%) were from HIC. Predisposing factors: There was evidence linking increased likelihood of service use with female gender; Caucasian ethnicity; higher education levels; and being unmarried; although this was not consistent across all studies. Need factors: There was consistent evidence of an association between service utilisation and self-evaluated health status; duration of symptoms; disability; comorbidity; and panic symptoms. Associations with symptom severity were frequently but less consistently reported. Enabling factors: The evidence did not support an association with income or rural residence. Inconsistent evidence was found for associations between unemployment or having health insurance and use of services. There was a lack of research from LMIC and on contextual level factors.

CONCLUSION

In HIC, failure to seek treatment for CMD is associated with less disabling symptoms and lack of perceived need for healthcare, consistent with suggestions that "treatment gap" statistics over-estimate unmet need for care as perceived by the target population. Economic factors and urban/rural residence appear to have little effect on treatment-seeking rates. Strategies to address potential healthcare inequities for men, ethnic minorities, the young and the elderly in HIC require further evaluation. The generalisability of these findings beyond HIC is limited. Future research should examine factors associated with health service utilisation for CMD in LMIC, and the effect of health systems and neighbourhood factors.

TRIAL REGISTRATION

PROSPERO registration number: 42016046551 .

Understanding geographic variations in psychiatric inpatient admission rates: width of the variations and associations with the supply of health and social care in France

BACKGROUND

Inpatient care accounts for the majority of mental health care costs and is not always beneficial. It can indeed have detrimental consequences if not used appropriately, and is unpopular among patients. As a consequence, its reduction is supported by international recommendations. Varying rates of psychiatric inpatient admissions therefore deserve to draw attention of researchers, clinicians and policy makers alike as such variations can challenge quality, equity and efficiency of care. In this context, our objectives were first to describe variations in psychiatric inpatient admission rates across the whole territory of mainland France, and second to identify their association with characteristics of the supply of care, which can be targeted by dedicated health policies.

METHODS

Our study was carried out in French psychiatric sectors' catchment areas for the year 2012. Inpatient admission rates per 100,000 adult inhabitants were calculated using data from the national psychiatric discharge database. Their variations were described numerically and graphically. We then carried out a negative binomial regression to identify characteristics of the supply of care (public and private care, health and social care, hospital and community-based care, specialised and non-specialised care) which were associated with these variations while adjusting our analysis for other relevant factors, in particular epidemiological differences.

RESULTS

Considerable variations in inpatient admission rates were observed between psychiatric sectors' catchment areas and were widespread on the French territory. Institutional characteristics of the hospital to which each sector was linked (private non-profit status, specialisation in psychiatry and participation to teaching activities and to emergency care) were associated with inpatient admission rates. Similarly, an increase in the availability of community-based private psychiatrists was associated with a decrease in the inpatient admission rate while an increase in the capacity of housing institutions for disabled individuals was associated with an increase in this rate.

CONCLUSIONS

Our results advocate for a homogenous repartition of health and social care for mental disorders in lines with the health needs of the population served. This should apply particularly to community-based private psychiatrists, whose heterogeneity of repartition has often been underscored.

Geographic variations in involuntary care and associations with the supply of health and social care: results from a nationwide study

Background

Involuntary psychiatric care remains controversial. Geographic disparities in its use can challenge the appropriateness of the care provided when they do not result from different health needs of the population. These disparities should be reduced through dedicated health policies. However, their association with the supply of health and social care, which could be targeted by such policies, has been insufficiently studied. Our objectives were therefore to describe geographic variations in involuntary admission rates across France and to identify the characteristics of the supply of care which were associated with these variations.

Methods

Involuntary admission rate per 100,000 adult inhabitants was calculated in French psychiatric sectors’ catchment areas using 2012 data from the national psychiatric discharge database. Its variations were first described numerically and graphically. Several factors potentially associated with these variations were then considered in a negative binomial regression with an offset term accounting for the size of catchment areas. They included characteristics of the supply of care (public and private care, health and social care, hospital and community-based care, specialised and non-specialised care) as well as adjustment factors related to epidemiological characteristics of the population of each sector’s catchment area and its level of urbanization. Such variables were extracted from complementary administrative databases. Supply characteristics associated with geographic variations were identified using a significance level of 0.05.

Results

Significant variations in involuntary admission rates were observed between psychiatric sectors’ catchment areas with a coefficient of variation close to 80%. These variations were associated with some characteristics of the supply of health and social care in the sectors’ catchment areas. Notably, an increase in the availability of community-based private psychiatrists and the capacity of housing institutions for disabled individuals was associated with a decrease in involuntary admission rates while an increase in the availability of general practitioners was associated with an increase in those rates.

Conclusions

There is evidence of considerable variations in involuntary admission rates between psychiatric sectors’ catchment areas. Our results provide lines of thoughts to reduce such variations, in particular by supporting an increase in the availability of upstream and downstream care in the community.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3064-3) contains supplementary material, which is available to authorized users.

The gravitational force of mental health services: distance decay effects in a rural Swiss service area

BACKGROUND

Previous research suggested a distance decay effect in health services systems, with people living closer to service facilities being more likely to use them.

METHOD

In this ecological cross sectional study, we conducted spatial and statistical analyses in a Swiss mental health services system being legally bound to provide primary mental health care to approximately 620,000 inhabitants. We examined a cohort of all patients who were over 18 years old and who were treated in the mental health services system between January and December 2011.

RESULTS

There were 5574 treatment cases during the 12-month period, 2161 inpatient cases and 3413 outpatient cases. Travel time by public transportation between patients' residence and the closest mental health service facility negatively predicted the utilization of outpatient services for all mental disorders, even after controlling for variability in ecological (e.g. socioeconomic) characteristics of the communities in the service provision area. For utilization of inpatient wards no geographical distance decay effect was observed, except for organic mental disorders.

CONCLUSIONS

Based on these findings, outpatient clinics should be most effectively located decentralized and in the largest communities to meet the needs of the population as close as possible to where people live and to avoid remote areas being insufficiently supplied with mental health care. For mental hospitals and inpatient services decentralized location seems to be less important.

Length of Stay of Psychiatric Admissions in a Tertiary Care Hospital

INTRODUCTION

The length of stay among psychiatric in-patients is usually longer than that of others. In-patient management is costly and longer length of stay can lead to catastrophic costs. We conducted this study to explore about the length of stay of psychiatric admissions and factors affecting it.

METHODS

We collected the data of all the patients admitted to the psychiatric ward of B. P. Koirala Institute of Health Sciences from 1st January 2007 to 31st December 2016 from the database of the medical records section after ethical approval. The sociodemographic and clinical variables were analyzed using SPSS 20.0 version. Length of stay more than 3 weeks was considered as long stay. Bivariate and multivariable logistic regression analyses were conducted to identify factors associated with length of stay.

RESULTS

There were 3687 admissions during the study period. The average length of stay was 19.36 (±13.14) days. On logistic regression, the factors associated with shorter length of stay were: male gender (aOR= 0.79, 95%CI: 0.68-0.93), being self employed (aOR= 0.17, 95%CI: 0.12-0.22), homemakers (aOR= 0.18, 95%CI: 0.14-0.24), farmers (aOR= 0.20, 95%CI: 0.15-0.27) and students (aOR= 0.23, 95%CI:0.17-0.32). Similarly, factors associated with longer length of stay were: being from other Eastern Terai districts(aOR=1.37, 95%CI: 1.11-1.70), other Eastern Hill districts (aOR= 1.68; 95%CI: 1.29-2.20), diagnosis of schizophrenia and related disorders (aOR=4.01, 95%CI: 1.34-12.0), having medical co-morbidity (aOR= 3.47; 95%CI: 2.49-4.84) and being readmitted (aOR= 1.23, 95%CI: 1.03-1.47).

CONCLUSIONS

There was significant association of length of stay with gender, age, address, occupation, diagnosis and readmission.

Mental Healthcare Delivery in Rural Greece: A 10-year Account of a Mobile Mental Health Unit

Introduction:

Patients living in rural and remote areas may have limited access to mental healthcare due to lack of facilities and socioeconomic reasons, and this is the case of rural areas in Eastern Europe countries. In Greece, community mental health service delivery in rural areas has been implemented through the development of the Mobile Mental Health Units (MMHUs).

Methods:

We present a 10-year account of the operation of the MMHU of the prefectures of Ioannina and Thesprotia (MMHU I-T) and report on the impact of the service on mental health delivery in the catchment area. The MMHU I-T is a multidisciplinary community mental health team which delivers services in rural and mountainous areas of Northwest Greece.

Results:

The MMHU I-T has become an integral part of the local primary care system and is well known to the population of the catchment area. By the end of 2016, the majority of patients (60%) were self-referred or family-referred, compared to 24% in the first 2 years. Currently, the number of active patients is 293 (mean age 63 years, 49.5% are older adults), and the mean caseload for each member of the team is 36.6. A significant proportion of patients (28%) receive care with regular domiciliary visits, and the provision of home-based care was correlated with the age of the patients. Within the first 2 years of operation of the MMHU I-T hospitalizations of treatment, engaged patients were reduced significantly by 30.4%, whereas the treatment engagement rates of patients with psychotic disorders were 67.2% in 5 years.

Conclusions:

The MMHU I-T and other similar units in Greece are a successful paradigm of a low-cost service which promotes mental health in rural, remote, and deprived areas. This model of care may be informative for clinical practice and health policy given the ongoing recession and health budget cuts. It suggests that rural mental healthcare may be effectively delivered by integrating generic community mental health mobile teams into the primary care system.

Impact of socioeconomic position and distance on mental health care utilization: a nationwide Danish follow-up study

PURPOSE

To determine the impact of socioeconomic position (SEP) and distance to provider on outpatient mental health care utilization among incident users of antidepressants.

METHOD

A nationwide register-based cohort study of 50,374 person-years.

RESULTS

Persons in low SEP were more likely to have outpatient psychiatrist contacts [odds ratio (OR) 1.25; confidence interval (CI) 1.17-1.34], but less likely to consult a co-payed psychologist (OR 0.49; CI 0.46-0.53) and to get mental health service from a GP (MHS-GP) (OR 0.81; CI 0.77-0.86) compared to persons in high SEP after adjusting for socio-demographics, comorbidity and car ownership. Furthermore, persons in low SEP who had contact to any of these therapists tended to have lower rates of visits compared to those in high SEP. When distance to services increased by 5 km, the rate of visits to outpatient psychiatrist tended to decrease by 5% in the lowest income group (IRR 0.95; CI 0.94-0.95) and 1% in the highest (IRR 0.99; CI 0.99-1.00). Likewise, contact to psychologists decreased by 11% in the lowest income group (IRR 0.89; CI 0.85-0.94), whereas rate of visits did not interact.

CONCLUSION

Patients in low SEP have relatively lower utilization of mental health services even when services are free at delivery; co-payment and distance to provider aggravate the disparities in utilization between patients in high SEP and patients in low SEP.

Pre- and post-discharge factors influencing early readmission to acute psychiatric wards: implications for quality-of-care indicators in psychiatry

OBJECTIVE

This study aims to describe the association between pre- and post-discharge factors and early readmission to acute psychiatric wards in a well-integrated community-based psychiatric service.

METHODS

The analysis consisted of all the hospital discharge records containing a psychiatric diagnosis in 2011 from four Italian acute inpatient wards. Socio-demographic, clinical, admission and aftercare variables were investigated as possible predictors of readmission at 7, 30 and 90 days after discharge and were analyzed, controlling for dependency among same-patient observations.

RESULTS

Previous psychiatric history was the most important predictor of readmissions. The socio-demographic and clinical characteristics of patients did not clearly influence readmission. Length of stay (LoS) was significant for readmission at 7 days even after controlling for other predictors and for same-patient dependence, in particular, for patients with previous admissions. Results suggest a protective role of a LoS higher than 28 days. In general, having a contact in community services did not turn out as protective from early readmission.

CONCLUSIONS

This paper contributes to increase the knowledge about factors that may predict the risk of early readmission. Implications for quality assessment in psychiatry emerged: readmission seems actionable by LoS and not by community follow-up.

Self-reported contacts for mental health problems by rural residents: predicted service needs, facilitators and barriers

BACKGROUND

Rural and remote Australians face a range of barriers to mental health care, potentially limiting the extent to which current services and support networks may provide assistance. This paper examines self-reported mental health problems and contacts during the last 12 months, and explores cross-sectional associations between potential facilitators/barriers and professional and non-professional help-seeking, while taking into account expected associations with socio-demographic and health-related factors.

METHODS

During the 3-year follow-up of the Australian Rural Mental Health Study (ARMHS) a self-report survey was completed by adult rural residents (N = 1,231; 61% female; 77% married; 22% remote location; mean age = 59 years), which examined socio-demographic characteristics, current health status factors, predicted service needs, self-reported professional and non-professional contacts for mental health problems in the last 12 months, other aspects of help-seeking, and perceived barriers.

RESULTS

Professional contacts for mental health problems were reported by 18% of the sample (including 14% reporting General Practitioner contacts), while non-professional contacts were reported by 16% (including 14% reporting discussions with family/friends). Perceived barriers to health care fell under the domains of structural (e.g., costs, distance), attitudinal (e.g., stigma concerns, confidentiality), and time commitments. Participants with 12-month mental health problems who reported their needs as met had the highest levels of service use. Hierarchical logistic regressions revealed a dose-response relationship between the level of predicted need and the likelihood of reporting professional and non-professional contacts, together with associations with socio-demographic characteristics (e.g., gender, relationships, and financial circumstances), suicidal ideation, and attitudinal factors, but not geographical remoteness.

CONCLUSIONS

Rates of self-reported mental health problems were consistent with baseline findings, including higher rural contact rates with General Practitioners. Structural barriers displayed mixed associations with help-seeking, while attitudinal barriers were consistently associated with lower service contacts. Developing appropriate interventions that address perceptions of mental illness and attitudes towards help-seeking is likely to be vital in optimising treatment access and mental health outcomes in rural areas.

A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies

OBJECTIVES

The application of GIS in health science has increased over the last decade and new innovative application areas have emerged. This study reviews the literature and builds a framework to provide a conceptual overview of the domain, and to promote strategic planning for further research of GIS in health.

METHOD

The framework is based on literature from the library databases Scopus and Web of Science. The articles were identified based on keywords and initially selected for further study based on titles and abstracts. A grounded theory-inspired method was applied to categorize the selected articles in main focus areas. Subsequent frequency analysis was performed on the identified articles in areas of infectious and non-infectious diseases and continent of origin.

RESULTS

A total of 865 articles were included. Four conceptual domains within GIS in health sciences comprise the framework: spatial analysis of disease, spatial analysis of health service planning, public health, health technologies and tools. Frequency analysis by disease status and location show that malaria and schistosomiasis are the most commonly analyzed infectious diseases where cancer and asthma are the most frequently analyzed non-infectious diseases. Across categories, articles from North America predominate, and in the category of spatial analysis of diseases an equal number of studies concern Asia.

CONCLUSION

Spatial analysis of diseases and health service planning are well-established research areas. The development of future technologies and new application areas for GIS and data-gathering technologies such as GPS, smartphones, remote sensing etc. will be nudging the research in GIS and health.

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.

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.