Patterns of Mental Health Care in Remote Areas: Kimberley (Australia), Nunavik (Canada), and Lapland (Finland): Modèles de soins de santé mentale dans les régions éloignées: Kimberley (Australie), Nunavik (Canada) et Laponie (Finlande)

International declaration on rural mental health research: 10 guiding principles and standards

Rural communities have unique mental health needs and challenges which are often related to the uniqueness of the community itself. On a per-capita basis, the investment in rural mental health research is far less than that in urban communities. Added to this, rural communities are often at risk of researchers, based in large urban universities, visiting, conducting the research with minimal engagement with local stakeholders and limited understanding of the community's social-service-environmental context. Often this research leaves no visible benefit to the community with respect to increased knowledge, resources or community capacity. This commentary is based on the insights of a panel of authors from 9 countries, each with extensive experience of rural mental health research and work. And it seeks to stimulate the discourse on responsible rural mental health practice. The aim of this commentary is to provide a reference on research practice for novice and experienced researchers on rural mental health research and practice, to assist policymakers, government and funding bodies to establish appropriate standards and guidelines for rural mental health research, and support rural communities to advocate for equity of funding and sustainable research as they engage with researchers, funders and governments. The 10 standards in this declaration will help guide researchers toward research that is beneficial to rural communities and also help develop the local community's research capability, which ultimately will serve to enhance the mental health and well-being of rural communities.

Evaluating Aboriginal and Torres Strait Islander Social and Emotional Wellbeing services: A collective case study in Far North Queensland

BACKGROUND

Access to a coordinated range of strengths-based, culturally appropriate community-led primary mental health and Social and Emotional Wellbeing services is critical to the mental health and wellbeing of young Aboriginal and Torres Strait Islander people, and is a policy commitment of the Australian government. However, complex and fragmented service networks and a lack of standardised service data are barriers in identifying what services are available and what care they provide.

METHOD

A standardised service classification tool was used to assess the availability and characteristics of Social and Emotional Wellbeing services for young Aboriginal and Torres Strait Islander people in two regions in Queensland, Australia.

RESULTS

We identified a complex pattern of service availability and gaps in service provision. Non-Indigenous non-governmental organisations provided a significant proportion of services, particularly 'upstream' support, while Aboriginal Community Controlled Organisations were more likely to provide 'downstream' crisis type care. Most services provided by the public sector were through Child Safety and Youth Justice departments.

CONCLUSIONS

Our findings demonstrate the complexity of current networks, and show that non-Indigenous organisations are disproportionately influential in the care received by young Aboriginal and Torres Strait Islander people, despite community goals of self-determination, and government commitment to increasing capacity of Aboriginal Community Controlled Organisations to support their local communities. These findings can be used to support decision making and planning.

Mental health service diversity and work disability: associations of mental health service system characteristics and mood disorder disability pensioning in Finland

PURPOSE

Public mental health services (MHS) are crucial in preventing psychiatric disability pensions (DP). We studied the associations between mood disorder DP risk and the characteristics of Finnish municipalities' MHS provision using the ESMS-R mapping tool and Finnish population registers, based on first-time granted mood disorder DPs between 2010 and 2015.

METHODS

The final data set included 13,783 first-time mood disorder DP recipients and 1088 mental health service units in 104 municipalities. We focused on five different MHS types: all MHS, outpatient care provision, local services without and with gatekeeping, and centralized services. Three factors for each MHS type were studied: service resources, richness, and diversity index. Negative binomial regression models were used in the analysis.

RESULTS

In all the municipalities, higher service richness and diversity regarding all MHS, outpatient care and local services with gatekeeping were associated with a lower DP risk. In urban municipalities, service richness was mainly associated with lower DP risk, and in semi-urban municipalities service diversity and resources were primarily associated with lower DP risk in outpatient care and local services with gatekeeping. In rural municipalities, DP risk indicated no association with MHS factors.

CONCLUSION

The organization and structure of MHS play a role in psychiatric disability pensioning. MHS richness and diversity are associated with lower mood disorder DP in specific societal contexts indicating their role as quality indicators for regional MHS. The diversity of service provision should be accounted for in MHS planning to offer services matching population needs.

Mapping community-based youth mental health services in Tasmania, Australia

BACKGROUND

Tasmania has the most rurally and remotely dispersed population of young people in Australia with high rates of youth experiencing mental ill health and socioeconomic disadvantage. Standard descriptions of mental healthcare provision are necessary for evidence-informed mental healthcare policy, planning and implementation. This systematic scoping study aimed to: (1) map and describe the characteristics of community-based youth mental health services (including substance-use) for young people in Tasmania, Australia and (2) identify gaps in service accessibility and provision.

METHODS

A list of eligible services was developed through a systematic search and consultation with key stakeholders. Data were collected from a representative from each eligible service via an interview or online survey. A standardised framework was used to classify, describe and map services. Thematic analysis was used to analyse service providers' perceived gaps to service access and provision.

RESULTS

Twenty-eight community-based mental health services for youth were identified, predominantly located in the major city of Tasmania's three service regions. Service gaps include the 'missing middle', lack of integrated supports and limited service capacity.

CONCLUSIONS

The findings highlight the limited availability, accessibility and capacity of youth mental health services across Tasmania. Recommendations focus on increasing accessibility of rural/regional supports, provision of assertive outreach, psychosocial support, integrated care and strengthening the rural mental health workforce. These findings may inform the (re)design/(re)development of community-based youth mental health services in Tasmania. The findings may also guide evidence-informed mental health service planning, decision-making, development and implementation of integrated models of youth mental health care across Australia.

Patterns of mental health services and mood disorder disability pensions: a standard comparison of Finland's three largest hospital districts

INTRODUCTION

Mental disorders are one of the most common and disabling health conditions worldwide. There is however no consensus on the best practice of system level mental health services (MHS) provision, in order to prevent e.g. mood disorder disability pensions (DPs). We analyzed the MHS provision between Finland's three largest hospital districts Helsinki and Uusimaa (HUS), Southwest Finland and Pirkanmaa, with known differences in mood disorder DP risk but presumably equal rates of mood disorder prevalence.

METHODS

We used public MHS data analyzed with the standardized DEscription and Evaluation of Services and DirectoriEs for Long Term Care (DESDE-LTC) mapping tool, focusing on all MHS, outpatient care provision, local services without and with gatekeeping, and centralized services. We also collected demographic data based on the European Socio-Demographic Schedule (ESDS). As a novel approach, the Gini-Simpson Diversity Index (GSDI) was calculated for the districts.

RESULTS

Evident differences were observed regarding the districts' MHS factors. As the hospital district with lower DP risk, HUS was characterized by the highest level of regional socioeconomic prosperity as well as high service richness and diversity. With a nationally average DP risk, Southwest Finland had the highest number of MHS personnel in full-time equivalents (FTE) per 100 000 inhabitants. Pirkanmaa, with a higher DP risk, had overall the lowest service richness and the lowest FTE of the three districts in all MHS, outpatient care and local services with gatekeeping.

CONCLUSIONS

Our findings indicate that greater richness and diversity of MHS, especially in outpatient and community-based settings, may serve as indicators of a balanced, high-quality service system that is more effective in preventing mood disorder DP and meeting the different needs of the population. In addition, the need for sufficient resourcing in all MHS and outpatient services is indicated. We suggest using diversity indices to complement the measuring and reporting of regional service variation.

Mental health systems modelling for evidence-informed service reform in Australia

Australia's Fifth National Mental Health Plan required governments to report, not only on the progress of changes to mental health service delivery, but to also plan for services that should be provided. Future population demand for treatment and care is challenging to predict and one solution involves modelling the uncertain demands on the system. Modelling can help decision-makers understand likely future changes in mental health service demand and more intelligently choose appropriate responses. It can also support greater scrutiny, accountability and transparency of these processes. Australia has an emerging national capacity for systems modelling in mental health which can enhance the next phase of mental health reform. This paper introduces concepts useful for understanding mental health modelling and identifies where modelling approaches can support health service planners to make evidence-informed decisions regarding planning and investment for the Australian population.

A qualitative exploration of young people's mental health needs in rural and regional Australia: engagement, empowerment and integration

BACKGROUND

Australian rural and regional communities are marked by geographic isolation and increasingly frequent and severe natural disasters such as drought, bushfires and floods. These circumstances strain the mental health of their inhabitants and jeopardise the healthy mental and emotional development of their adolescent populations. Professional mental health care in these communities is often inconsistent and un-coordinated. While substantial research has examined the barriers of young people's mental health and help-seeking behaviours in these communities, there is a lack of research exploring what adolescents in rural and regional areas view as facilitators to their mental health and to seeking help when it is needed. This study aims to establish an in-depth understanding of those young people's experiences and needs regarding mental health, what facilitates their help-seeking, and what kind of mental health education and support they want and find useful.

METHOD

We conducted a qualitative study in 11 drought-affected rural and regional communities of New South Wales, Australia. Seventeen semi-structured (14 group; 3 individual) interviews were held with 42 year 9 and 10 high school students, 14 high school staff, and 2 parents, exploring participants' experiences of how geographical isolation and natural disasters impacted their mental health. We further examined participants' understandings and needs regarding locally available mental health support resources and their views and experiences regarding mental illness, stigma and help-seeking.

RESULTS

Thematic analysis highlighted that, through the lens of participants, young people's mental health and help-seeking needs would best be enabled by a well-coordinated multi-pronged community approach consisting of mental health education and support services that are locally available, free of charge, engaging, and empowering. Participants also highlighted the need to integrate young people's existing mental health supporters such as teachers, parents and school counselling services into such a community approach, recognising their strengths, limitations and own education and support needs.

CONCLUSIONS

We propose a three-dimensional Engagement, Empowerment, Integration model to strengthen young people's mental health development which comprises: 1) maximising young people's emotional investment (engagement); 2) developing young people's mental health self-management skills (empowerment); and, 3) integrating mental health education and support programs into existing community and school structures and resources (integration).

A scoping review of the barriers and facilitators to accessing and utilising mental health services across regional, rural, and remote Australia

BACKGROUND

Inadequate healthcare access and utilisation are implicated in the mental health burden experienced by those living in regional, rural, and remote Australia. Facilitators that better enable access and utilisation are also reported in the literature. To date, a synthesis on both the barriers and facilitators to accessing and utilising mental health services within the rural Australian context has not been undertaken. This scoping review aims to (1) synthesise the barriers and facilitators to accessing and utilising mental health services in regional, rural, and remote Australia, as identified using the Modified Monash Model; and (2) better understand the relationship between barriers and facilitators and their geographical context.

METHODS

A systematic search of Medline Complete, EMBASE, PsycINFO, Scopus, and CINAHL was undertaken to identify peer-reviewed literature. Grey literature was collated from relevant websites. Study characteristics, including barriers and facilitators, and location were extracted. A descriptive synthesis of results was conducted.

RESULTS

Fifty-three articles were included in this scoping review. Prominent barriers to access and utilisation included: limited resources; system complexity and navigation; attitudinal and social matters; technological limitations; distance to services; insufficient culturally-sensitive practice; and lack of awareness. Facilitators included person-centred and collaborative care; technological facilitation; environment and ease of access; community supports; mental health literacy and culturally-sensitive practice. The variability of the included studies precluded the geographical analysis from being completed.

CONCLUSION

Both healthcare providers and service users considered a number of barriers and facilitators to mental health service access and utilisation in the regional, rural, and remote Australian context. Barriers and facilitators should be considered when re-designing services, particularly in light of the findings and recommendations from the Royal Commission into Victoria's Mental Health System, which may be relevant to other areas of Australia. Additional research generated from rural Australia is needed to better understand the geographical context in which specific barriers and facilitators occur.

Patterns of mental healthcare provision in rural areas: A demonstration study in Australia and Europe

INTRODUCTION

Mental healthcare systems are primarily designed to urban populations. However, the specific characteristics of rural areas require specific strategies, resource allocation, and indicators which fit their local conditions. This planning process requires comparison with other rural areas. This demonstration study aimed to describe and compare specialized rural adult mental health services in Australia, Norway, and Spain; and to demonstrate the readiness of the healthcare ecosystem approach and the DESDE-LTC mapping tool (Description and Evaluation of Services and Directories of Long Term Care) for comparing rural care between countries and across areas.

METHODS

The study described and classified the services using the DESDE-LTC. The analyses included context analysis, care availability, placement capacity, balance of care, and diversity of care. Additionally, readiness (Technology Readiness Levels - TRL) and impact analyses (Adoption Impact Ladder - AIL) were also assessed by two independent raters.

RESULTS

The findings demonstrated the usability of the healthcare ecosystem approach and the DESDE-LTC to map and identify differences and similarities in the pattern of care of highly divergent rural areas. Day care had a greater weight in the European pattern of care, while it was replaced by social outpatient care in Australian areas. In contrast, care coordination was more common in Australia, pointing to a more fragmented system that requires navigation services. The share between hospital and community residential care showed no differences between the two regions, but there were differences between catchment areas. The healthcare ecosystem approach showed a TRL 8 (the tool has been demonstrated in a real-world environment and it is ready for release and general use) and an AIL of 5 (the target public agencies provided resources for its completion). Two experts evaluated the readiness of the use of DESDE-LTC in their respective regional studies. All of them were classified using the TRL.

DISCUSSION

In conclusion, this study strongly supports gathering data on the provision of care in rural areas using standardized methods to inform rural service planning. It provides information on context and service availability, capacity and balance of care that may improve, directly or through subsequent analyses, the management and planning of services in rural areas.

Flexible Assertive Community Treatment in Rural and Remote Areas: A Qualitative Study of the Challenges and Adaptations of the Model

Background

Flexible assertive community treatment (FACT) is an innovative model for providing long-term treatment to people with severe mental illness. The model was developed in the Netherlands but is now used in other countries, including Norway, which has a geography different from the Netherlands, with many rural and remote areas. Implementation of innovations is context dependent. The FACT model's potential in rural and remote areas has not been studied. Therefore, we aimed to gain knowledge regarding the challenges and modifications of the model in rural and remote contexts and discuss how they can affect the model's potential in such areas. This knowledge can improve the understanding of how FACT or similar services can be adapted to function most optimally in such conditions. We sought to address the following questions: Which elements of the FACT model do team leaders of the rural FACT teams find particularly challenging due to the context, and what modifications have the teams made to the model?

Methods

Digital interviews were conducted with five team leaders from five rural FACT teams in different parts of Norway. They were selected using purposive sampling to include team leaders from some of the most rural teams in Norway. The interviews were analyzed using thematic text analysis.

Results

The following three themes described elements of the FACT model that were experienced particularly challenging in the rural and remote context: multidisciplinary shared caseload approach, intensive outreach and crisis management. The following eight themes described the modifications that the teams had made to the model: intermunicipal collaboration, context-adaptive planning, delegation of tasks to municipal services, part-time employment, different geographical locations of staff, use of digital tools, fewer FACT board meetings, and reduced caseload.

Conclusions

Rural and remote contexts challenge the FACT model's potential. However, modifications can be made, some of which can be considered innovative modifications that can increase the model's potential in such areas, while others might move the teams further away from the model.

Cohort study comparison of Mental Health and Wellbeing Services delivered by The Royal Flying Doctor Service, across Far North and Central West Queensland

Background

Understanding cultural differences between geographical regions is essential in delivering culturally appropriate healthcare. We aimed to describe the characteristics and outcomes of diverse clients using the Far North Mental Health and Wellbeing Service (FNS) and the Central West Health and Wellbeing Service (CWS).

Methods

We conducted a cohort study within Queensland, Australia, on all clients who received a mental health therapy session at either the FNS or the CWS. Patient data was prospective data collected form July 2019 to December 2020.

Findings

There were1202 clients, with a median number of individual contacts per-client of 3.0 (IQR 2.0-6.0). There was 428 (35.6% 95% CI 32.90-38.39) males and 772 (64.2% 95% CI 61.44-66.94) females with a median age across the genders of 38.0 (IQR 28.0-51.0). There was 505 (42.0% 95% CI 39.20-44.86) identifying as Indigenous and 697 (58.0% 95% CI 55.14-60.80) as non-Indigenous Australians. The FNS had a significantly higher proportion of Indigenous clients (n=484; 54.8% 95% CI 51.46-58.13) as compared to the CWS (n=21; 6.6% 95% CI 4.12-9.89). Of the 1202 clients, 946 (78.7% 95% CI 76.28-80.99) had a socio-economic classification of ‘most disadvantaged’, consisting of 740 (83.8%) clients from the FNS and 206 (64.6%) clients from the CWS. The majority of presentations were for neurotic, stress-related and somatoform disorders (n=568; 47.3%), followed by mood affective disorders (n=310; 25.8%). The overall number of treatments strategies employed was 10798, equalling a median of 6.0 (IQR 4.0-9.0) strategies per-client, with the leading strategies being counselling/psychosocial (n=1394; 12.9%), reflective listening (n=1191; 11.0%), and strengths based reasoning (n=1116; 10.3%). There were 511 (42.5%) clients who completed the Kessler Psychological Distress Scale (K10/K5), with 493 (41.0%) clients not offered as deemed not culturally appropriate by the treating team. The mean initial K10/K5 score was 23.7 (SD 9.4) which significantly decreased (p<0.001) to 18.0 (SD 10.0) at final consultation.

Interpretation

This study highlighted client socioeconomic differences between two geographically remote mental health services. It is essential that services are regionally co-designed to ensure cultural appropriateness.

Funding

No funding to declare.

Patterns of Service Provision in Older People's Mental Health Care in Australia

Australia has a population of around 4 million people aged 65 years and over, many of whom are at risk of developing cognitive decline, mental illness, and/or psychological problems associated with physical illnesses. The aim of this study was to describe the pattern of specialised mental healthcare provision (availability, placement capacity, balance of care and diversity) for this age group in urban and rural health districts in Australia. The Description and Evaluation of Services and DirectoriEs for Long Term Care (DESDE-LTC) tool was used in nine urban and two rural health districts of the thirty-one Primary Health Networks across Australia. For the most part service provision was limited to hospital and outpatient care across all study areas. The latter was mainly restricted to health-related outpatient care, and there was a relative lack of social outpatient care. While both acute and non-acute hospital care were available in urban areas, in rural areas hospital care was limited to acute care. Limited access to comprehensive mental health care, and the uniformity in provision across areas in spite of differences in demographic, socioeconomic and health characteristics raises issues of equity in regard to psychogeriatric care in this country. Comparing patterns of mental health service provision across the age span using the same classification method allows for a better understanding of care provision and gap analysis for evidence-informed policy.