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

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.

Designing a clustering algorithm for optimizing health station locations

In this paper, we define the optimization of health station locations as a clustering problem. We design a robust algorithm for the problem using a pre-calculated overhead graph for fast distance calculations and apply a robust clustering algorithm called random swap to provide accurate optimization results. We study the effect of three cost functions (Euclidean distance, squared Euclidean distance, travel cost) using real patient locations in North Karelia, Finland. We compare the optimization results with the existing health station locations. We found that the algorithm optimized the locations beyond administrative borders and strongly utilized the transport network. The results can provide additional insight for the decision-makers.

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.

Utilization of Neurology and Allied Health Services by People With Parkinson's Disease in Israel: A Retrospective Observational Study

BACKGROUND

Sustainable utilization of neurology and allied health professions' services is pivotal for effective management of Parkinson disease (PD) and is correlated with positive health-related outcomes.

OBJECTIVES

(1) To describe the utilization of neurology and allied health services by people with PD (PwP); (2) to explore the associations between demographic and structural variables and utilization; and (3) to test associations between utilization and unplanned hospitalizations.

METHODS

A retrospective observational cohort study of 1761 PwP in the years 2014-2019 was conducted. Utilization of neurology and allied health services was mapped. Regression models were examined to test associations between demographic and structural variables, utilization of neurology and physical therapy (PT), and unplanned hospitalizations.

RESULTS

Approximately 50% of the study population utilized neurology services. Utilization rate of allied health services ranged between 0% and 19%. The likelihood of utilizing neurology services increased for people with extended health insurance and people with more years since diagnosis and decreased for women and for people living at a great distance from a neurology service. The likelihood of utilizing PT increased for Jews and people with extended health insurance and decreased for people with more years since diagnosis and for people living at a great distance from a PT service. Among patients with fewer years since diagnosis (<5 years), those who utilized PT had a higher likelihood of unplanned hospitalization.

CONCLUSIONS

Neurology and allied health services are underutilized by PwP, particularly by minorities and women. Policymakers should take proactive steps to increase utilization.

VIDEO ABSTRACT AVAILABLE

for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A496 ).

Mapping eating disorders in adolescents and young adults: an investigation of geographic distribution and access to care in Ontario, Canada

BACKGROUND

There is limited research on the spatial distribution of eating disorders and the proximity to available eating disorder services. Therefore, this study investigates the distribution of eating disorders among adolescents and young adults in Ontario, Canada, with a specific focus on geographic disparities and access to publicly-funded specialized eating disorder services.

METHODS

A community sample of 1,377 adolescents and young adults ages 16-30 across Ontario between November and December 2021 participated in this study and completed the Eating Disorder Examination Questionnaire. Utilizing Geographic Information System (GIS) technology, we mapped the geographic prevalence of eating disorders and examined proximity to specialized eating disorder services. Multiple linear and logistic regression analyses were utilized to determine the association between geographic region and eating disorder symptomatology. Additionally, t-tests were utilized to examine differences between time/distance to specialized services and clinical risk for eating disorders.

RESULTS

Applying geospatial analysis techniques, we detected significant spatial clusters denoting higher eating disorder scores in rural areas and areas with fewer specialized services. Likewise, our findings report disparities between rural and urban areas, suggesting that rural regions exhibit elevated rates of eating disorders. There were no associations between distance/time to services and eating disorder symptomology.

CONCLUSIONS

The discrepancies in eating disorder symptomology between urban/rural may stem from stigma and unique socio-cultural contexts in rural communities. The study underscores the need for targeted intervention, including telehealth, in addressing the eating disorder challenges faced by adolescents and young adults in rural regions.

Developing a prediction model to identify people with severe mental illness without regular contact to their GP - a study based on data from the Danish national registers

INTRODUCTION

People with severe mental illness (SMI) face a higher risk of premature mortality due to physical morbidity compared to the general population. Establishing regular contact with a general practitioner (GP) can mitigate this risk, yet barriers to healthcare access persist. Population initiatives to overcome these barriers require efficient identification of those persons in need.

OBJECTIVE

To develop a predictive model to identify persons with SMI not attending a GP regularly.

METHOD

For individuals with psychotic disorder, bipolar disorder, or severe depression between 2011 and 2016 (n = 48,804), GP contacts from 2016 to 2018 were retrieved. Two logistic regression models using demographic and clinical data from Danish national registers predicted severe mental illness without GP contact. Model 1 retained significant main effect variables, while Model 2 included significant bivariate interactions. Goodness-of-fit and discriminating ability were evaluated using Hosmer-Lemeshow (HL) test and area under the receiver operating characteristic curve (AUC), respectively, via cross-validation.

RESULTS

The simple model retained 11 main effects, while the expanded model included 13 main effects and 10 bivariate interactions after backward elimination. HL tests were non-significant for both models (p = 0.50 for the simple model and p = 0.68 for the extended model). Their respective AUC values were 0.789 and 0.790.

CONCLUSION

Leveraging Danish national register data, we developed two predictive models to identify SMI individuals without GP contact. The extended model had slightly better model performance than the simple model. Our study may help to identify persons with SMI not engaging with primary care which could enhance health and treatment outcomes in this group.

Online therapy with families - what can families tell us about how to do this well? A qualitative study assessing families' experience of remote Dyadic Developmental Psychotherapy compared to face-to-face therapy

Dyadic Developmental Psychotherapy (DDP) is a family-based therapy for adopted children aiming to achieve secure attachment between the child and parent. Due to restrictions under the COVID-19 pandemic, delivery of DDP transitioned from face-to-face to online methods. This study aimed to explore families experience of online DDP compared to face-to-face DDP, looking at the advantages and disadvantages of remote delivery methods and the implications this has on future service delivery for clinicians. Semi-structured interviews with 6 families were conducted online. Analysis of transcripts using Interpretative Phenomenological Analysis (IPA) revealed four superordinate themes: environment and child engagement, non-verbal communication, travel and familiarity with remote interactions. Parents recognised the influence the physical and online environment had on their child's engagement levels, however, varied in their experience and hence preference of delivery method. All families emphasised the importance of non-verbal communication within DDP sessions and majority highlighted this may be lost online. For families who travelled to face-to-face DDP, car journeys provided a unique opportunity to decompress and reflect after sessions. For families where travel is unfeasible, online DDP was a lifeline, demonstrating the ability of remote therapy to widen access to specialist healthcare. Familiarity with online work emerged as a strong indicator of positive attitudes towards remote DDP, especially if the previous experience is positive and the child is confident using technology. Overall, families differed greatly in their experience of remote and face-to-face DDP indicating a new approach must be undertaken with each family beginning therapy, ensuring it is unique and individual to their needs.

Geographical variation in treated psychotic and other mental disorders in Finland by region and urbanicity

PURPOSE

In Finland, prevalence of schizophrenia is higher in the eastern and northern regions and co-occurs with the distribution of schizophrenia polygenic risk scores. Both genetic and environmental factors have been hypothesized to contribute to this variation. We aimed to examine the prevalence of psychotic and other mental disorders by region and degree of urbanicity, and the impacts of socio-economic adjustments on these associations.

METHODS

Nationwide population registers from 2011 to 2017 and healthcare registers from 1975 to 2017. We used 19 administrative and three aggregate regions based on the distribution of schizophrenia polygenic risk scores, and a seven-level urban-rural classification. Prevalence ratios (PRs) were calculated by Poisson regression models and adjusted for gender, age, and calendar year (basic adjustments), and Finnish origin, residential history, urbanicity, household income, economic activity, and physical comorbidity (additional adjustments) on an individual level. Average marginal effects were used to visualize interaction effects between region and urbanicity.

RESULTS

A total of 5,898,180 individuals were observed. All mental disorders were slightly more prevalent (PR 1.03 [95% CI, 1.02-1.03]), and psychotic disorders (1.11 [1.10-1.12]) and schizophrenia (1.19 [1.17-1.21]) considerably more prevalent in eastern and northern than in western coastal regions. After the additional adjustments, however, the PRs were 0.95 (0.95-0.96), 1.00 (0.99-1.01), and 1.03 (1.02-1.04), respectively. Urban residence was associated with increased prevalence of psychotic disorders across all regions (adjusted PR 1.21 [1.20-1.22]).

CONCLUSION

After adjusting for socioeconomic and sociodemographic factors, the within-country distribution of mental disorders no longer followed the traditional east-west gradient. Urban-rural differences, on the other hand, persisted after the adjustments.

Urban distance to mental healthcare units and public transport increases duration of untreated psychosis in first-episode patients

BACKGROUND

There is a growing interest in environmental and social determinants of mental health. However, how distance to healthcare and public transportation affect illness is neglected in schizophrenia research. Here, we are interested in how the availability of mental healthcare and the ways to reach it may be associated with psychosis.

AIMS

We aim to investigate the association between distances to healthcare units and subway stations and duration of untreated psychosis (DUP) and greater initial severity in an antipsychotic-naïve first episode of psychosis (FEP) sample.

METHOD

Using 212 untreated FEP patients' data, we calculated the distances from their residences to the places of interest. Diagnoses comprehended schizophrenia spectrum disorders, depressive and bipolar affective disorders, and substance-induced disorders. Linear regressions were performed with distances as independent variables, DUP and Positive and Negative Syndrome Scale (PANSS) scores as dependent variables.

RESULTS

Longer distance to emergency mental healthcare was related to longer DUP (95% CI: p = .034, B = 0.152) and higher total PANSS (95% CI: p = .007, B = 0.0189); longer distance to community mental healthcare units was related to longer DUP (95% CI: p = .004, B = 0.0204) and higher total PANSS (95% CI: p = .030, B = 0.152). Moreover, a longer distance to the closest subway station predicted longer DUP (95% CI: p = .019, B = 0.170).

CONCLUSION

Our results indicate that poor healthcare access is related to longer DUP and higher initial PANSS scores. Future research should investigate how investments in mental health access and actions to improve public transport access could impact DUP and treatment outcomes in psychosis patients.

Implementation of Aceh Health Insurance (Jaminan Kesehatan Aceh) 2013-2021: Has health equity been achieved for all Acehnese after armed conflict?

Aceh Health Insurance (Jaminan Kesehatan Aceh-JKA) has been implemented since 2010 to increase the health equity by covering the health expenses and guaranteeing that all Acehnese are covered regardless of their economic, educational, and social statuses. However, since its implementation, there has been no study on its impact on health quality, particularly regarding the utilization of the main referral hospital (Dr Zainoel Abidin Hospital located in Banda Aceh) and the effects of the geographic accessibility and the number of specialist doctors in each regency/city on hospital utilization. This retrospective study assessed the equity factors during the Aceh Health Insurance implementation and during its integration to National Health Insurance (Jaminan Kesehatan Nasional-JKN) from 2013 to 2021 using data of travel time (time spent for travelling from the origin regency/city of referred patients to the main referral center) and healthcare resources (number of specialist doctors). The data were analyzed using Student's t-tests, Kolmogorov-Smirnov or Mann-Whitney U test when appropriate. Williamson Index was calculated to determine the disparities of health equity between regencies. Our data indicated the noticeably increase of health facilities utilization since the implantation of Aceh Health Insurance. However, there was no equity in the use of main referral facility by the residents in Aceh - was dominated by residents who lived closer and from more populated regencies/cities. In conclusion, there are accessibility and financial hardship barriers in accessing the health care facilities during the implementation of Aceh Health Insurance that need to be addressed by the government to achieve the health equity for all Acehnese.