International Journal of Mental Health Systems最新文献

Background: There is no pooled evidence regarding the prevalence and potential associated factors of depression among cancer patients in Ethiopian community. Hence, the current review aimed to examine the prevalence and associated factors of depression among cancer patients in Ethiopia.

Method: A computerized systematic literature search was made in MEDLINE, Scopus, PubMed, Science Direct, and Google Scholar. Each database was searched from its start date to June 2020. More over we will also add scholars and gray literature consultations. All articles will be included if they were published in English, which evaluated the prevalence and associated factors of depression among cancer patients in Ethiopia. Pooled estimations with a 95% confidence interval (CI) were calculated with DerSimonian-Laird random-effects model. Publication bias was evaluated by using inspection of funnel plots and statistical tests.

Discussion: Since we are using existing anonymized data, ethical approval is not required for this study. Our results can be used to guide clinical decisions about the most efficient way to prevent and treat depression among cancer patients. Systematic review registration Submitted to Prospero.

Background: A nation-wide mental health peer support initiative was established in college and vocational schools in Singapore. The purpose of this cross-sectional study was to develop and validate a 20-item self-report instrument, the Mental Health Peer Support Questionnaire (MHPSQ), to assess young adults' perceived knowledge and skills in mental health peer support.

Methods: We administered the questionnaire to 102 students who were trained as peer supporters, and 306 students who were not trained as peer supporters (denoted as non-peer supporters), in five college and vocational schools. Exploratory factor analysis and descriptive statistics were conducted. Cronbach's α was used to assess reliability, and independent sample t-tests to assess criterion validity.

Results: Exploratory factor analysis indicated a three-factor structure with adequate internal reliability (discerning stigma [α = .76], personal mastery [α = .77], skills in handling challenging interpersonal situations [α = .74]; overall scale [α = .74]). Consistent with establishing criterion validity, peer supporters rated themselves as significantly more knowledgeable and skilled than non-peer supporters on all items except two: (1) letting peer support recipients make their own mental health decisions, and (2) young adults' self-awareness of feeling overwhelmed. Peer supporters who had served the role for a longer period of time had significantly higher perceived awareness of stigma affecting mental health help-seeking. Peer supporters who had reached out to more peer support recipients reported significantly higher perceived skills in handling challenging interpersonal situations, particularly in encouraging professional help-seeking and identifying warning signs of suicide.

Conclusions: The MHPSQ may be a useful tool for obtaining a baseline assessment of young adults' perceived knowledge and skills in mental health peer support, prior to them being trained as peer supporters. This could facilitate tailoring of training programs based on young adults' initial understanding of mental health peer support. Subsequent to young adults' training and application of skills, the MHPSQ could also be applied to evaluate the effectiveness of peer programs and mental health training.

Background: Screening tools for mental health disorders improve detection at a primary health care (PHC) level. However, many people with mental health conditions do not seek care because of a lack of knowledge about mental health, stigma about mental illness and a lack of awareness of mental health services available at a PHC facility level. Interventions at a community level that raise awareness about mental health and improve detection of mental health conditions, are thus important in increasing demand and optimising the supply of available mental health services. This study sought to evaluate the accuracy of a Community Mental Health Education and Detection (CMED) Tool in identifying mental health conditions using pictorial vignettes.

Methods: Community Health Workers (CHWs) administered the CMED tool to 198 participants on routine visits to households. Consenting family members provided basic biographical information prior to the administration of the tool. To determine the accuracy of the CMED in identifying individuals in households with possible mental health disorders, we compared the number of individuals identified using the CMED vignettes to the validated Brief Mental Health (BMH) screening tool.

Results: The CMED performed at an acceptable level with an area under the curve (AUC) of 0.73 (95% CI 0.67-0.79), identifying 79% (sensitivity) of participants as having a possible mental health problem and 67% (specificity) of participants as not having a mental health problem. Overall, the CMED positively identified 55.2% of household members relative to 49.5% on the BMH.

Conclusion: The CMED is acceptable as a mental health screening tool for use by CHWs at a household level.

Background: COVID-19 required mental health services to quickly switch from face-to-face service delivery to telehealth (telephone and videoconferencing). This evaluation explored implementation of a telehealth mental health response in a regional public mental health provider.

Methods: A mixed methods approach, combining service use data, brief satisfaction surveys, and qualitative interviews/focus groups was undertaken. Number and types of contacts from de-identified mental health service data were compared between April-May 2020 and April-May 2019. Mental health consumers and providers completed brief online satisfaction surveys after videoconferencing sessions. Attitudes and perspectives on the implementation of telehealth were further explored by applying a descriptive qualitative framework to the analysis of interview and focus group data supplied by consumers and providers. Template thematic analysis was used to elucidate key themes relating to the barriers and enablers of telehealth uptake and future implementation recommendations.

Results: Total contacts decreased by 13% from 2019 to 2020. Face-to-face contacts decreased from 55% of total in 2019 to 24% in 2020. In 2019, 45% of contacts were by telephone, increasing to 70% in 2020. Only four videoconferencing contacts were made in 2019; increasing to 886 in 2020. Consumer surveys (n = 26) rated videoconferencing as good or excellent for technical quality (92%), overall experience (86%), and satisfaction with personal comfort (82%). Provider surveys (n = 88) rated technical quality as good or excellent (68%) and 86% could achieve assessment/treatment goals with videoconferencing. Provider focus groups/interviews (n = 32) identified that videoconferencing was well-suited to some clinical tasks. Consumers interviewed (n = 6) endorsed the ongoing availability of telehealth within a blended approach to service delivery. Both groups reflected on videoconferencing limitations due to infrastructure (laptops, phones, internet access), cumbersome platform and privacy concerns, with many reverting to telephone use.

Conclusions: While videoconferencing increased, technical and other issues led to telephone being the preferred contact method. Satisfaction surveys indicated improvement opportunities in videoconferencing. Investment in user-friendly platforms, telehealth infrastructure and organisational guidelines are needed for successful integration of videoconferencing in public mental health systems.

Background: The magnitude and impact of women's suicidal behaviors, like suicidal ideation and suicidal attempts, are an important public health problem in low and middle-income countries, including Ethiopia. Suicidal behavior and being overweight are typical complications of reproductive age with many undesired consequences. Despite both having a serious impact on women of reproductive age, they are neglected in Ethiopia. Accordingly, this study aimed to examine the magnitude and determinants of suicide among overweight reproductive-age women in Chacha and Debre Berhan towns, Ethiopia.

Methods: A community-based cross-sectional study design was once employed from April 1, 2020 to June 1, 2020. The Composite International Diagnostic Interview was used to measure suicidal attempts and ideation, and the data was collected by direct interview. All collected data were entered into Epi Data version 4.6 and analyzed with SPSS version 25. Bivariate and multivariable regression models were used to determine the factors associated with a suicidal attempt and ideation. A p-value of less than 0.05 was considered statistically significant.

Result: Of the total participants, 523 were included, with a response rate of 93.7%. The prevalence of suicidal ideation was 13.0% (95% CI 10.1-15.9), whereas suicidal attempt was 2.3% (95% CI 1.1-3.6). Based on multivariable regression analysis, the odds of suicidal ideation have been higher among overweight women with stressful life events, depression, and younger age groups.

Conclusion: Suicidal ideation was frequent in overweight reproductive-age women. Preventing, treating, and using coping mechanisms regarding identified factors is a good way to minimize the burden of suicide.

Background: Availability of mental health services in low- and middle-income countries is largely concentrated in tertiary care with limited resources and scarcity of trained professionals at the primary care level. SMART Mental Health is a strategy that combines a community anti-stigma campaign with a primary health care workforce strengthening initiative, using electronic decision support with the goal of better identifying and supporting people with common mental disorders in India.

Methods: We describe the challenges faced and lessons learnt during the pre-intervention phase of SMART Mental Health cluster Randomised Controlled Trial. Pre-intervention phase includes preliminary activities for setting-up the trial and research activities prior to delivery of the intervention. Field notes from project site visit, project team meetings and detailed follow-up discussions with members of the project team were used to document operational challenges and strategies adopted to overcome them. The socio-ecological model was used as the analytical framework to organise the findings.

Results: Key challenges included delays in government approvals, addressing community health worker needs, and building trust in the community. These were addressed through continuous communication, leveraging support of relevant stakeholders, and addressing concerns of community health workers and community. Issues related to use of digital platform for data collection were addressed by a dedicated technical support team. The COVID-19 pandemic and political unrest led to significant and unexpected challenges requiring important adaptations to successfully implement the project.

Conclusion: Setting up of this trial has posed challenges at a combination of community, health system and broader socio-political levels. Successful mitigating strategies to overcome these challenges must be innovative, timely and flexibly delivered according to local context. Systematic ongoing documentation of field-level challenges and subsequent adaptations can help optimise implementation processes and support high quality trials.

Trial registration: The trial is registered with Clinical Trials Registry India (CTRI/2018/08/015355). Registered on 16th August 2018. http://ctri.nic.in/Clinicaltrials/showallp.php?mid1=23254&EncHid=&userName=CTRI/2018/08/015355.

Background: The prevalence of depression in society is increasing and there is a need for a suitable tool to assess the health literacy of people in this field. This study was conducted to evaluate the psychometric of the Iranian version of the depression literacy (D-Lit) questionnaire.

Methods: This cross-sectional study was conducted on 845 participants with a proportional stratified sampling method. First, the translation and cultural adaptation of questionnaire was performed. Then, the validity of D-Lit was assessed by face validity, content validity, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA). The reliability of D-Lit was assessed by the Cronbach's alpha coefficient and McDonald omega coefficient.

Results: Based on the results of EFA, 5 factors emerged with eigenvalues of greater than 1, which accounted for 56.30% of the variance. Based on the results of CFA, one question was deleted and the results of goodness fit indexes confirmed the model. Cronbach's alpha coefficient and McDonald omega coefficient for D-Lit questionnaire were 0.890 and 0.891, respectively. Finally, D-Lit questionnaire with 21 questions and 5 subscales of Knowledge of the psychological symptoms (5 items), Knowledge about the effectiveness of available treatment methods (4 items), Knowledge about cognitive-behavioral symptoms (6 items), Knowledge about taking medications and their side effects (4 items), and Knowledge of the severity of the disease (2 items) were confirmed.

Conclusion: The results of this psychometric evaluation confirmed the Persian version of D-Lit questionnaire with 21 questions and 5 subscales is an appropriate tool for measuring people's literacy about depression.

Background: Small island developing states (SIDS) have particular mental health system needs due to their remoteness and narrow resource base. We conducted situational analyses to support mental health system strengthening in six SIDS: Anguilla, Bermuda, British Virgin Islands, Cayman Islands, Montserrat and Turks and Caicos Islands.

Methods: The situational analyses covered five domains: 1. Socio-economic context and burden of mental disorders, 2. Leadership and governance for mental health 3. Mental health and social care services 4. Strategies for promotion and prevention in mental health and 5. Information systems, evidence and research for mental health. First, a desk-based exercise was conducted, in which data was drawn from the public domain. Second, a field visit was conducted at each site, comprising visits to facilities and consultation meetings with key stakeholders.

Results: Our key findings were 1. Despite most of these SIDS being high-income economies, social inequalities within states exist. There was no population-level data on mental health burden. 2. All SIDS have a mental health policy or plan, but implementation is typically limited due to lack of funds or staff shortages. There was minimal evidence of service user involvement in policy or service development. 3. All SIDS have a specialist, multi-disciplinary mental health workforce, however Montserrat and Anguilla rely on visiting psychiatrists. Child and adolescent and dedicated crisis intervention services were found in only two and one SIDS respectively. A recovery-oriented ethos was not identified in any SIDS. 4. Mental illness stigma was prevalent in all SIDS. Promotion and prevention were objectives of mental health strategies for all SIDS, however activities tended to be sporadic. No mental health non-Governmental organisations were identified in three SIDS. 5. Health information systems are generally underdeveloped, with paper-based systems in three SIDS. There has been no rigorous local mental health research.

Conclusion: Cross-cutting recommendations include: to develop mental health action plans that include clear implementation indicators; to facilitate community surveys to ascertain the prevalence of mental disorders; to explore task-sharing approaches to increase access to primary mental health care; and to develop programmes of mental health promotion and prevention.

Background: There are increasing initiatives to reduce mental illness stigma among primary care providers (PCPs) being trained in mental health services. However, there is a gap in understanding how stigma reduction initiatives for PCPs produce changes in attitudes and clinical practices. We conducted a pilot randomized controlled trial of a stigma reduction intervention in Nepal: REducing Stigma among HealthcAre Providers (RESHAPE). In a previous analysis of this pilot, we described differences in stigmatizing attitudes and clinical behaviors between PCPs receiving a standard mental health training (mental health Gap Action Program, mhGAP) vs. those receiving an mhGAP plus RESHAPE training. The goal of this analysis is to use qualitative interview data to explain the quantitative differences in stigma outcomes identified between the trial arms.

Methods: PCPs were randomized to either standard mental health training using mhGAP led by mental health specialists or the experimental condition (RESHAPE) in which service users living with mental illness shared photographic recovery narratives and participated in facilitated social contact. Qualitative interviews were conducted with PCPs five months post-training (n = 8, standard mhGAP training; n = 20, RESHAPE). Stigmatizing attitudes and clinical practices before and after training were qualitatively explored to identify mechanisms of change.

Results: PCPs in both training arms described changes in knowledge, skills, and confidence in providing mental healthcare. PCPs in both arms described a positive feedback loop, in which discussing mental health with patients encouraged more patients to seek treatment and open up about their illness, which demonstrated for PCPs that mental illness can be treated and boosted their clinical confidence. Importantly, PCPs in the RESHAPE arm were more likely to describe a willingness to treat mental health patients and attributed this in part to social contact with service users during the training.

Conclusions: Our qualitative research identified testable mechanisms of action for stigma reduction and improving clinical behavior: specifically, recovery stories from service users and social engagement led to greater willingness to engage with patients about mental illness, triggering a feedback loop of more positive experiences with patients who benefit from mental healthcare, which further reinforces willingness to deliver mental healthcare. Trial registration ClinicalTrials.gov identifier, NCT02793271.

Background: Policy makers intent on improving population mental health are required to make fundamental decisions on where to invest resources to achieve optimal outcomes. While research on the effectiveness and efficiency of interventions is critical to such choices, including clinical outcomes and return on investment, in the "real world" of policy making other concerns invariably also play a role. Politics, history, community awareness and demands for care, understanding of etiology, severity of condition and local circumstances are all critical. Policy makers should not merely rely on previous allocations, but need to take active decisions regarding the proportion of resources that should be allocated to particular interventions to achieve optimum outcomes. Given that scientific evidence is only one of the reasons informing such decisions, it is necessary to have clear and informed reasons for allocations and for making cases for new mental health investments.

Main body: Investment allocations are unlikely to ever be an exact science. Alternatives therefore need to be rationally weighed up and reasoned decisions made based on this. Using prevalence data and the distribution of mental health resources in South Africa as a backdrop and proxy, investment proposals are made for LMICs with due consideration given to inter alia the social determinants of mental health, the needs and potential benefits of investments in people with severe verses common mental disorder, mental health promotion and disease prevention and to other areas that may impact on population mental health, such as management.

Conclusion: Based on a range of arguments, it is proposed that mental health investments should follow the following approach. A mental health-in-all-policies method must be adopted. There should be no more than a 20% gap in the humane and human rights oriented care, treatment and rehabilitation of people with severe mental disorder. A minimum additional amount of 10% of the amount spent on severe mental disorder should be allocated to treating people with common mental disorder. Screening for mental disabilities should take place within all chronic care services. A minimum of 3% of the budget spent on severe mental disorder should be spent on promotion and prevention programmes. An additional 1% of the allocation for severe mental disorder should be provided for managing/driving the mental health programme.