International Journal of Mental Health Systems最新文献

The ongoing war in Ukraine is having profound impacts on both the local and global economy, as well as the infrastructure and overall well-being of the people. The prolonged duration of the conflict, coupled with its many related consequences such as total uncertainty, unfavorable economic conditions, and a distressing media backdrop, have a lasting impact on the mental health of the population. The ongoing war in Ukraine has exposed weaknesses in the national mental health care system and underscored the importance of mental health economics. To prevent further mental health problems, it is crucial to develop a comprehensive set of measures aimed at strengthening the capacity of the mental health care system in Ukraine. Currently, Ukraine's mental health care system suffers from a lack of financial and human resources, which hinders its ability to provide adequate support to those in need. To address this issue, joint efforts between Ukrainian mental health stakeholders and the international governmental and non-governmental organizations are needed to provide support and capacity building for mental health services in Ukraine.

Background: Universal health coverage (UHC) has emerged as one of the important health policy discourses under the current sustainable development goals in the world. UHC in individual disease conditions is a must for attaining overall UHC. This study measures progress towards UHC in terms of access to health care and financial protection among individuals with mental disorders in India.

Methods: Data from the 75th Round National Sample Survey (NSS), 2017-18, was used, which is the latest round on health in India. Data collected from 555,115 individuals (rural: 325,232; urban: 229,232), from randomly selected 8077 villages and 6181 urban areas, included 283 outpatient and 374 hospitalization cases due to mental disorders in India. Logistic regression models were used for analyses.

Results: Self-reporting of mental disorders was considerably lower than the actual disease burden in India. However, self-reporting of ailment was 1.73 times higher (95% CI: 1.18-2.52, p < 0.05) among the richest income group population compared to the poorest in India. The private sector was a major service provider of mental health services with a larger share for outpatient (66.1%) than inpatient care (59.2%). Over 63% of individuals with a mental disorder who reported private sector hospitalization noted unavailability or poor service quality at public facilities. Only 23% of individuals hospitalized had health insurance coverage at All India level. However, health insurance coverage among poorest economic class was a meagre 3.4%. Average out-of-pocket expenditure during hospitalization (public: 123 USD; private: 576 USD) and outpatient care (public: 8 USD; private: 37 USD) was significantly higher in the private sector than in the public sector. Chances of facing catastrophic health expenditure at 10% threshold were 23.33 times (95% CI: 10.85-50.17; p < 0.001) higher under private sector than public sector during hospitalization. Expenditure on medicine, as the share of total medical expenditure, was highest for hospitalization (public: 45%, private:39.5%) and outpatient care (public: 74.1%, private:39.7%).

Conclusions: Social determinants play a vital role in access to healthcare and financial protection among individuals with mental disorders in India. For achieving UHC in mental disorders, India needs to address the gaps in access and financial protection for individuals with mental disorders.

Trial registration: Not applicable.

Introduction: Health systems around the world are struggling with the massive numbers of people with mental disorders who require professional care. The treatment gap for mental disorders is high all over the world, with between 76 and 85% of people in low- and middle-income countries with severe mental disorders receiving no treatment for their mental health conditions. Tele-psychiatry is used as an alternative solution to the problem of limited mental health services and effective Tele-psychiatry service use may be achievable if mental health providers have a good attitude towards it.

Objective: To assess the attitude of mental healthcare providers toward Tele-psychiatry services and associated factors at public referral hospitals in Addis Ababa city, Ethiopia, 2022.

Method: A Multicenter institution-based cross-sectional study was conducted among 413 mental health professionals working in public referral hospitals in Addis Ababa city, from May 04 to June 10, 2022. Data were collected by using a structured and self-administered questionnaire prepared by reviewing previous related studies. Epi Data version 3.1 and Stata version 14 were used for data entry and analysis respectively. Bivariate and multivariable logistic regression analyses were used to identify factors associated with attitudes toward Tele-psychiatry services. A statistical significance was declared at p-value < 0.05.

Result: A total of 413 Participants were enrolled with a response rate of 91.8%. The majority of respondents 230 (55.69%) were male and the mean age of participants was 29 years (SD + 5.02). In this study the majority (49%) of mental health care professionals had a poor attitude toward Tele-psychiatry. Having electronic health technology experience [AOR 16.79; 95% CI (4.26, 29.3)], lack of training in telemedicine applications [(AOR 0.1; 95% CI (0.01, 0.41)], a good computer uses for daily work activities [AOR 3.65; 95% CI (1.14, 11.60)], availability of e-Health technology awareness program [AOR 0.16; 95% CI (0.03, 0.90)], having a positive perception about the importance of e-Health technologies[AOR 0.041; 95% CI (0.01, 0.29)] and having good knowledge of Tele-psychiatry services [AOR 6.89; 95% CI (1.8, 12.0)] were significantly associated with attitude towards Tele-psychiatry services.

Conclusion: This study found that mental healthcare providers at a public referral hospital in Addis Ababa city generally had poor attitudes regarding Tele-psychiatry services. Considering the significant factors will improve the attitude to use tele-psychiatry services in Ethiopia.

Introduction: Co-production is a collaborative approach to service user involvement in which users and researchers share power and responsibility in the research process. Although previous reviews have investigated co-production in mental health research, these do not typically focus on psychosis or severe mental health conditions. Meanwhile, people with psychosis may be under-represented in co-production efforts. This scoping review aims to explore the peer-reviewed literature to better understand the processes and terminology employed, as well as the barriers, facilitators, and outcomes of co-production in psychosis research.

Methods: Three databases were searched (MEDLINE, EMBASE, PsycINFO) using terms and headings related to psychosis and co-production. All titles, abstracts and full texts were independently double-screened. Disagreements were resolved by consensus. Original research articles reporting on processes and methods of co-production involving adults with psychosis as well as barriers, facilitators, and/or outcomes of co-production were included. Data was extracted using a standardised template and synthesised narratively. Joanna Briggs Institute and the AGREE Reporting Checklist were used for quality assessment.

Results: The search returned 1243 references. Fifteen studies were included: five qualitative, two cross-sectional, and eight descriptive studies. Most studies took place in the UK, and all reported user involvement in the research process; however, the amount and methods of involvement varied greatly. Although all studies were required to satisfy INVOLVE (2018) principles of co-production to be included, seven were missing several of the key features of co-production and often used different terms to describe their collaborative approaches. Commonly reported outcomes included improvements in mutual engagement as well as depth of understanding and exploration. Key barriers were power differentials between researchers and service users and stigma. Key facilitators were stakeholder buy-in and effective communication.

Conclusions: The methodology, terminology and quality of the studies varied considerably; meanwhile, over-representation of UK studies suggests there may be even more heterogeneity in the global literature not captured by our review. This study makes recommendations for encouraging co-production and improving the reporting of co-produced research, while also identifying several limitations that could be improved upon for a more comprehensive review of the literature.

Background: Children and adolescents who live in resource-limited communities in sub-Saharan Africa (SSA) experience significant mental health problems, including behavioral problems. In SSA, one of the most significant impediments to expanding services is a scarcity of mental health specialists. Task-shifting can effectively solve the mental health care gap in low-resource settings, yet it is underutilized in child and adolescent mental health. Moreover, the experiences of lay providers are understudied in global mental health, despite their potential impact on intervention effectiveness. In this study, we examined the experiences of community health workers and parent peers with the task-shifting of an evidence-based family strengthening intervention in Uganda.

Methods: As part of a larger randomized clinical trial, semi-structured in-depth interviews were conducted with 24 facilitators selected using stratified purposive sampling. Interviews explored their decision to participate in the program; experiences with the training; and experiences with intervention delivery. All interviews were conducted in Luganda (local language) and audio recorded. They were transcribed verbatim and translated into English. Thematic analysis was used to analyze the data.

Results: Despite concerns around lack of previous experience and time commitment, facilitators reported high relevance of the intervention to the families in their communities as well as their own as a motivation to participate. They also identified financial incentives as a motivating factor. These two factors also ensured their attendance at the training. They were satisfied with the content and skills provided during the training and felt prepared to deliver the intervention. During intervention delivery, they enjoyed seeing the families engaged and participating actively in the sessions as well as observing positive changes in the families. Some challenges with family attendance and engagement were noted. The facilitators reported an increased sense of self-efficacy and competence over time; and expressed high satisfaction with supervision.

Conclusion: Facilitators' positive experiences point to the high acceptability and appropriateness of task-shifting this intervention in low-resource settings. As the global mental health field continues to be interested in task-shifting interventions to lay providers, successful examples should be studied so that evidence-based models can be put in place to support them through the process.

Background: The aim of this study was to demonstrate the application of a needs-based mental health service planning model in Tasmania, Australia to identify indicative directions for future service development that ensure the equitable provision of mental health services across the State.

Methods: The activity and capacity of Tasmania's 2018-19 mental health services were compared to estimates of required care by: (1) generating estimates of required care using the National Mental Health Service Planning Framework (NMHSPF); (2) collating administrative mental health services data; (3) aligning administrative data to the NMHSPF; and (4) comparing aligned administrative data and NMHSPF estimates to identify priority areas for service development. Findings were contextualised using information about service location, population demographics, and upcoming service development.

Results: Bed-based services capacity reached 85% of the NMHSPF estimate. However, access to certain bed types was inequitable across regional areas. Access to jurisdictional clinical ambulatory team-based services was lowest in the South, while overall full-time equivalent staff capacity reached 58% of the NMHSPF estimate. Access to Primary Health Tasmania (PHT) primary care services was highest in the North West; access to Medicare services was highest in the South. Collectively, activity across primary care (PHT, headspace and Medicare) reached 43% of the NMHSPF estimate. Over half of Community Managed Mental Health Support Services were state-wide services.

Conclusions: This study demonstrates the application of a needs-based planning model for mental health services. Findings revealed service priority areas across Tasmania and highlight considerations for needs-based planning.

Background: COVID-19 outbreak deeply impacted on mental health, with high rate of psychological distress in healthcare professionals, patients and general population. Current literature on trauma showed no increase in ICU admissions for deliberate self-inflicted injuries in the first weeks after the beginning of COVID-19.

Objectives: We tested the hypothesis that self-inflicted injuries/harms of any method requiring ICU admission increased in the year following COVID-19 outbreak.

Methods: Retrospective cohort single-center study comparing admissions to ICU the year before and the year after the pandemic start. All patients admitted to polyvalent ICUs-Fondazione IRCCS Policlinico S. Matteo, Pavia, Italy from February 21st, 2019 to February 21st, 2020 (pre-COVID) and from February 22nd, 2020 to February 22nd, 2021 (post-COVID) were enrolled.

Results: We enrolled 1038 pre-COVID and 854 post-COVID patients. In post-COVID, the incidence of self-inflicted injuries was 32/854 (3.8% [2.5-5.1]), higher than in pre-COVID (23/1038, 2.2%-p = 0.0014-relative increase 72.7%). The increase was more relevant when excluding COVID-19 patients (suicide attempts 32/697 (4.6% [3.0-6.2])-relative increase 109.1%; p < 0.0001). Both in pre-COVID and post-COVID, the most frequent harm mean was poisoning [15 (65.2%) vs. 25 (78.1%), p = 0.182] and the analysed population was younger than general ICU population (p = 0.0015 and < 0.0001, respectively). The distribution of admissions for self-inflicted injuries was homogeneous in pre-COVID along the year. In post-COVID, no admissions were registered during the lockdown; an increase was observed in summer with pandemic curve at minimal levels.

Conclusions: An increase in ICU admissions for self-inflicted injuries/harms was observed in the year following COVID-19 outbreak.

Background: One in five adults in the US experience mental illness and over half of these adults do not receive treatment. In addition to the access gap, few innovations have been reported for ensuring the right level of mental healthcare service is available at the right time for individual patients.

Methods: Historical observational clinical data was leveraged from a virtual healthcare system. We conceptualize mental healthcare services themselves as therapeutic interventions and develop a prototype computational framework to estimate their potential longitudinal impacts on depressive symptom severity, which is then used to assess new treatment schedules and delivered to clinicians via a dashboard. We operationally define this process as "session dosing": 497 patients who started treatment with severe symptoms of depression between November 2020 and October 2021 were used for modeling. Subsequently, 22 mental health providers participated in a 5-week clinical quality improvement (QI) pilot, where they utilized the prototype dashboard in treatment planning with 126 patients.

Results: The developed framework was able to resolve patient symptom fluctuations from their treatment schedules: 77% of the modeling dataset fit criteria for using the individual fits for subsequent clinical planning where five anecdotal profile types were identified that presented different clinical opportunities. Based on initial quality thresholds for model fits, 88% of those individuals were identified as adequate for session optimization planning using the developed dashboard, while 12% supported more thorough treatment planning (e.g. different treatment modalities). In the clinical pilot, 90% of clinicians reported using the dashboard a few times or more per member. Although most clinicians (67.5%) either rarely or never used the dashboard to change session types, numerous other discussions were enabled, and opportunities for automating session recommendations were identified.

Conclusions: It is possible to model and identify the extent to which mental healthcare services can resolve depressive symptom severity fluctuations. Implementation of one such prototype framework in a real-world clinic represents an advancement in mental healthcare treatment planning; however, investigations to assess which clinical endpoints are impacted by this technology, and the best way to incorporate such frameworks into clinical workflows, are needed and are actively being pursued.

Background: Since February 2022, the people of Ukraine have experienced devastating losses due to the Russian invasion, increasing the demand for mental healthcare across the nation. Using longitudinal data on mental health facilities across the nation up to summer 2022, we aimed to provide an updated picture of Ukrainian mental health services during the 2022 Russian invasion.

Methods: We conducted a nationwide longitudinal study on Ukrainian inpatient mental health facilities during the Russian invasion since February 2022. We obtained responses from the heads of 30 inpatient mental health facilities, which represent 49.2% of all psychiatric hospitals in Ukraine. Information on hospitalizations and the number, displacement, and injuries of staff in April and July-September 2022 was obtained from each facility.

Results: Facilities across Ukraine reported similar staff shortages in both April and August-September 2022, despite an increase in the number of hospitalizations in July 2022 and a similar percentage of hospitalizations related to war trauma (11.6% in July vs. 10.2% in April, Wilcoxon signed-rank test P = 0.10). Hospitalizations related to war trauma became more dispersed across the nation in July 2022, likely reflecting the return of internally and externally displaced persons to their original locations.

Conclusions: The mental health needs and services changed drastically in the first half-year of the Russian invasion of Ukraine, with those in need more dispersed across the country over time. International aid may need to be scaled up to stably provide mental healthcare, given the displacement of the mental healthcare workforce.

Background: Major depressive disorder (MDD) contributes to a significant proportion of disease burden, disability, economic losses, and impact on need of treatment and health care in Brazil, but systematic information about its treatment coverage is scarce. This paper aims to estimate the gap in treatment coverage for MDD and identify key bottlenecks in obtaining adequate treatment among adult residents in the São Paulo Metropolitan area, Brazil.

Methods: A representative face-to-face household survey was conducted among 2942 respondents aged 18+ years to assess 12-month MDD, characteristics of 12-month treatment received, and bottlenecks to deliver care through the World Mental Health Composite International Diagnostic Interview.

Results: Among those with MDD (n = 491), 164 (33.3% [SE, 1.9]) were seen in health services, with an overall 66.7% treatment gap, and only 25.2% [SE, 4.2] received effective treatment coverage, which represents 8.5% of those in need, with a 91.5% gap in adequate care (66.4% due to lack of utilization and 25.1% due to inadequate quality and adherence). Critical service bottlenecks identified were: use of psychotropic medication (12.2 percentage points drop), use of antidepressants (6.5), adequate medication control (6.8), receiving psychotherapy (19.8).

Conclusions: This is the first study demonstrating the huge treatment gaps for MDD in Brazil, considering not only overall coverage, but also identifying specific quality- and user-adjusted bottlenecks in delivering pharmacological and psychotherapeutic care. These results call for urgent combined actions focused in reducing effective treatment gaps within services utilization, as well as in reducing gaps in availability and accessibility of services, and acceptability of care for those in need.