Perspectives of Community Nurses on Treatment Engagement of Persons with Severe Mental Illnesses (PwSMI): A Qualitative Study from South India.

Background: There is increasing evidence of the need for treatment engagement between Persons with Severe Mental Illnesses (PwSMIs) and Mental Health Professionals (MHPs). This therapeutic process involves collaborative work between patients and MHPs, which improves the condition. Community nurses are uniquely positioned to facilitate this process as they act as the focal point of interaction between patients and the health system. Methods: This qualitative study explored the community nurses' experiences in treatment engagement with PwSMI through eight group interviews of 35 community nurses from District Mental Health Programs (DMHPs) across Karnataka (South India) from February 2020 to March 2020. The audio recordings of the interviews were transcribed and coded to arrive at themes and subthemes. Results: The major themes identified were factors influencing treatment engagement, strategies to tackle treatment nonengagement, and challenges in dealing with nonengagement. The reasons for nonengagement were lack of insight and lack of knowledge of sociocultural, logistic, and treatment-related factors. The DMHP teams contacted patients through phone calls, home visits, and liaisons with health workers and intervened with them through education and depot injections. The major challenges were difficulty conducting home visits, distances, the unavailability of medications, and the need for adequate infrastructure and human resources. Conclusion: Community nurses address a few factors of nonengagement, such as insight, sociocultural factors, and treatment-related factors. Addressing the systemic challenges and adequate training of nurses in intervening in the dropped-out PwSMIs would help to reduce the treatment gap.

The rationale and guiding principles to design a psychiatric curriculum for primary care nurses of India.

Background: The National Mental Health Survey reports a huge treatment gap for all mental disorders. There is an acute shortage of mental health professionals in India. Hence, there is a dire need to support task-shift interventions by nurses in providing non-pharmacological interventions for persons suffering from mental health issues. The traditional psychiatric nursing curriculum emphasizes nurses' knowledge and skills rather than their competency in providing mental health care. We designed an innovative, digitally driven, modular-based primary care psychiatry program for nurses (PCPP-N) to incorporate mental health with physical health and emphasize redesigning nursing practice. In this paper, we discuss the rationale and guiding principles behind designing the curriculum of PCPP-N. Discussion: The PCPP-N program is based on nine guiding principles to provide skill-based, pragmatic, and feasible modules of a higher collaborative care quotient (CCQ) and translational quotient (TQ) that are essential for upskilling primary care nurses. In this program, nurses are trained through telemedicine-based 'on-consultation training' augmented with collaborative video consultations. A tele-psychiatrist/tele-psychiatric nurse will demonstrate how to screen, identify, and plan treatment for patients with psychiatric disorders from patients coming for general medical care using the manual Clinical Schedules of Primary care psychiatry Nursing (CSP-N). The CSP-N manual includes a screener, simplified diagnosing guidelines relevant for nurses and primary care settings, nursing management, pharmacological management, and related side effects, counseling, and follow-up guidelines. This program helps the nurses in identifying the most commonly prevalent adult psychiatric disorders presenting to primary care. Conclusion: This PCPN curriculum contains pragmatic modules with higher CCQ and TQ. This curriculum is dynamic as the learning is interactive. Upskilling primary care nurses in integrating mental health with physical health may reduce the mental health burden. Further, the policymakers and administrators plan to integrate mental health along with physical health in national health programs.

Mental Health Programme in India: Has the tide really turned?

Mental disorders in India form a major public health concern and the efforts to tackle these dates back to four decades, by way of the National Mental Health Programme (NMHP) and its operational arm, the District Mental Health Programme (DMHP). Although the progress of NMHP (and DMHP) was relatively slower till recently, the last 4-5 years have seen rapid strides with several initiatives, including (i) expansion of DMHPs to 90 per cent of the total districts of the country, (ii) the National Mental Health Policy and (iii) strengthening the Mental Health Legislation by way of providing explicit provisions for rights of persons with mental illnesses. Among others, factors responsible for this accelerated growth include the easily accessible digital technology as well as judicial activism. Federal and State cooperation is another notable feature of this expansion. In this review, the authors summarize the available information on the evolution of implementation and research aspects related to India's NMHP over the years and provide a case for the positive turn of events witnessed in the recent years. However, the authors caution that these are still baby steps and much more remains to be done.

Cost of Illness Analysis of Common Mental Disorders: A Study from an Indian Academic Tertiary Care Hospital.

Background: The cost of illness (COI) for common mental disorders (CMDs) that include depression, anxiety, and somatoform disorder is less studied in India. Hence, we studied the COI and disability of CMDs and their relationship in patients with depression, anxiety, and somatoform disorders. Methods: In this cross-sectional study, we recruited 220 patients (110 with depression, 58 with anxiety disorders, and 52 with somatoform disorders) and evaluated disability using the Sheehan Disability Scale (SDS). The schedule for the cost of illness (S-COI) was used for evaluating COI for the last year. Results: The annual COI of CMDs from the patient perspective was ₹21,620 (interquartile range [IQR], ₹47,761; ≈US$290). The median annual direct COI was ₹4,907 (IQR ₹7,502), and indirect COI was ₹12,900 (IQR ₹37744). The direct COI was 18%, whereas the indirect COI was 82%. The direct and indirect COI in the three groups were similar. In all three groups with ongoing treatment, the mean scores indicated a mild level of disability. Total and indirect COI, but not the direct COI, correlated positively with the severity of illness and disability. Conclusion: All the CMDs with ongoing treatment are associated with a mild level of disability and are a significant financial burden, with higher indirect costs.

Development and validation of "Knowledge on screening and identification of mental illness (KSIM) questionnaire" among primary care nurses in India.

BACKGROUND: As stated in the World Health Organization's Mental Health Report 2022, 13%, or almost a billion people, had a mental health issue, and 82% of these people resided in low- and middle-income countries with limited access to mental health treatments. Successful integration of mental health services into primary healthcare depends on primary healthcare providers receiving the proper training and information required to provide basic mental health care in the community. Primary care nurses generally lack the confidence and skills to handle mental health issues while being in an excellent position to screen, identify, refer, and follow-up on a person with mental illness (PMI). The study aimed to develop and validate the KSIM questionnaire to assess the knowledge of primary care nurses in screening, identifying, referral, and follow-up persons with mental health issues in the community. MATERIALS AND METHODS: The study was conducted based on a sequential exploratory design in two phases: the development and the validation phases. An extensive literature search was done, and the themes derived from the two focus group discussion (FGD) and three direct interviews, and the inputs from the mental health experts were used to design the KSIM questionnaire. A panel of 17 experts validated the KSIM questionnaire through item-level content validity index (I-CVI) and scale-level CVI (S-CVI) for content validation, and the reliability test was done using the intraclass correlation coefficient ICC test-retest method. RESULTS: The draft version-1 of the KSIM questionnaire showed high content validity of individual items (I-CVI range: 0.82-1.00) and high overall content validity (S-CVI = 0.95), and suggestions from the experts were incorporated. The KSIM questionnaire consists of 30 multiple choice questions and 10 case vignettes. The KSIM questionnaire has a very good test-retest reliability using the single measure two-way mixed absolute agreement ICC value 0.97 with 95% CI. CONCLUSIONS: Using an iterative approach, the development and validation of the KSIM questionnaire demonstrated high I-CVI and S-CVI with good ICC test-retest reliability to assess the knowledge of primary care nurses on screening and identification, referral and follow-up of a PMI in the community. Primary care nurses' knowledge on how to screen for and identify people with mental health issues in the primary care setting can be evaluated with the help of the KSIM questionnaire, and providing need-based training may help to reduce the time taken for people with mental illness to receive professional help.

An audit of initial six years of 5885 telepsychiatric direct video consultations: Findings from "benefits of savings" analysis and the effect of COVID-19 pandemic.

Background: Telepsychiatric direct video consultations (DVCs) meant for continuity of care began in 2017 and continued during the coronavirus disease 2019 (COVID-19) pandemic. Telemedicine-based consultation gained its long-due importance during the COVID-19 travel restriction, despite its existence for a long. The authors intend to share the utility and growth of the initial six years of live telepsychiatric DVCs from an academic hospital in India and also plan to understand the effects of the COVID-19 pandemic on its growth and report findings from an innovative "benefits of savings" (BOS) analysis from these clinics. Methods: A first six years of medical audit of the files and registers of telepsychiatric DVCs from two kinds of continuity of care clinics during 2017-2022 is performed. An analysis of 4991 (84.8%) live DVCs is successfully conducted for 1570 patients from the 5885 scheduled appointments. Year-on-year (YOY) growth and BOS analysis of successful DVCs from these clinics were performed. Results and Discussion: The growth suggests a gradual increase in DVCs yearly. The BOS analysis suggests its increased acceptability, feasibility at both user and provider ends, and possible cost-effectiveness of these video clinics. YOY analysis suggests a natural growth of these clinics than from the effect of the COVID-19 pandemic, except for an initial surge in 2020 and 2021 and observing stabilization effect by 2022. Conclusion: In the authors' understanding, this is the largest study of providing DVCs from India, irrespective of any medical/surgical specialty. The video/remote clinics could be an alternative model for regular follow-ups in ensuring the continuity of care among patients with psychiatric disorders. These clinics also saved significant travel time, travel distance, and travel costs for the patients that could have occurred for their in-person consultations.

Development and Validation of Clinical Schedule for Primary Care Psychiatric Nursing (CSP-N) for Primary Care Nurses.

Introduction: As per the World Health Organization's mental health report for 2022, nearly a billion people have mental health issues, and 82% of them are in low and middle-income countries where mental health services are largely absent. For the successful integration of mental health into primary health care, proper training and education of primary care professionals are mandatory. Primary care nurses are in an excellent position to screen, identify, dual collaboration for treatment planning/referral, and follow-up of persons with mental illness (PMI), but they often lack the confidence and competence to tackle mental health problems. The study aimed to develop and validate the clinical schedule for primary care psychiatric nursing (CSP-N). Materials and Methods: It is conducted in two phases: the development and validation phases. An extensive literature search has been conducted, and the ten themes derived from the two-focused group discussions and three-direct one-to-one interviews and input from mental health experts were used to design the CSP-N. The CSP-N was checked for content validity by a panel of 17 experts using the item-level content validity index (I-CVI) and the scale-level content validity index (S-CVI). Results: The draft version 1 of the CSP-N showed high content validity for individual items (I-CVI range: 0.82 to 1.00) and high overall content validity (S-CVI = 0.95), and suggestions from the experts were incorporated. The CSP-N was developed in four modules. The single-measure two-way mixed absolute agreement ICC value was calculated (for 32 subjects) for the reliability test, and the ICC value was 0.97 with a 95% CI (0.94, 0.99). Conclusions: Using an iterative approach, the development and validation of the CSP-N demonstrated high I-CVI and S-CVI for screening and identification, dual collaboration for the treatment plan, referral, and follow-up of a person with mental illness by the nurses in the community.

Work productivity (absenteeism and presenteeism) in persons with common mental disorders: An observational study from South India.

Background: The greatest contributor to the economic impact of common mental disorders (CMDs) is said to be the loss of work productivity. There is a paucity of studies from India that looks at the impact of CMDs on the productivity of work, which costs both patient and society significantly. Aim: To assess and compare work productivity by evaluating both absolute and relative presenteeism and absenteeism, in persons with CMDs. Materials and Methods: This was a cross-sectional observational study on 220 subjects (110, 58, and 52 patients with depressive disorder, anxiety disorders, and somatoform disorders, respectively), recruited through purposive sampling. We evaluated work productivity using the World Health Organization Health and Work Performance Questionnaire. Results: Absolute absenteeism was significantly different before and after treatment for CMDs as a group but not for individual disorders. Relative absenteeism, absolute presenteeism, and relative presenteeism were all significantly different before and after treatment among both CMDs as a group and also among individual disorders. Both presenteeism and absenteeism (absolute as well as relative) did not differ significantly across the diagnostic groups. Work productivity has been linearly associated with illness severity and disability. Conclusion: CMDs are associated with a significant loss of work productivity. Presenteeism is costlier than absenteeism in affecting work productivity. Loss of work productivity appears to be transdiagnostic across all CMDs. Also, the severity of loss of work productivity is associated linearly with the severity of illness and disability.

Effectiveness of blended versus fully digital training in primary care psychiatry: A retrospective comparison from India.

Objectives: We compared effectiveness of blended mode (consisting of traditional classroom teaching and e-learning sessions) and fully digital mode (e-learning sessions alone) of primary care psychiatry training for primary care doctors in Chhattisgarh. Materials and Methods: We retrospectively compared the engagement in training, knowledge (K), attitude (A), and practice (P) in primary care psychiatry, and patient identification by primary care doctors (n = 941) from Chhattisgarh region who underwent training through either blended training mode (n = 546) or fully digital training mode (n = 395) for 16 h each, using Clinical Schedules for Primary Care Psychiatry based modules between June 2019 and November 2020 with a tertiary care center (NIMHANS, Bengaluru) as hub. Statistical Analysis: The Statistical Package for the Social Sciences version 27 was used to analyze the data. Continuous variables were analyzed using the independent samples t-test, and discrete variables were analyzed using the Chi-square test. A repeated measures analysis of variance (ANOVA) (two-way mixed design) was used to see the interaction of training type and time of pre- and post-KAP measurement while controlling for years of experience. The number of patients identified by both training groups over 8 months was also compared using the repeated measures ANOVA (two-way mixed design). Results: Engagement inferred by the number of participants completing pre-KAP forms (75%), post-KAP forms (43%), post-session assessments (37- 47%), case presentation (33.9%), and certification (32.1%) was better in the blended group (P < 0.05). The mean gain in KAP scores was significantly higher in the blended group controlling for the years of experience as primary care doctor (PCD) (F = 30.36, P < 0.001). PCDs in the blended training group consistently identified a higher number of patients with mental illness over 8 months of follow-up (F = 6.21, P < 0.001). Conclusion: The blended mode yielded better results in primary care psychiatry training compared to fully digital mode. In-person interactions while provided for a very brief proportion of the training seem to have an unmistakable imprint on the outcomes and seem critical for better consolidation and assimilation of information, which translates into better practice.

Resilience as a protective factor on the quality of life (QoL) of Indian nursing students during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic negatively impacted the quality of life of individuals around the world, including health care professionals. There has been little research that examines the role of resilience concerning the impact of COVID-19 on the quality of life of nursing students. This study aimed to determine how resilience influenced the quality of life among nursing students during the COVID-19 pandemic. METHODS: A cross-sectional research design was adopted for this study. A total of two hundred sixty-eight nursing students from three universities, South India responded in the web-based survey. Data was collected using self-reported questionnaires in June 2021. RESULTS: Our findings revealed that the participants' resilience was normal, which had a moderate impact on the quality of life of nursing students during the COVID-19 pandemic. The COVID-19 impact on QoL significantly differed with year of education (F = 3.087; p < 0.02) and university (F = 6.697, p < 0.001). Bivariate analysis revealed significant inverse relationships between the impact of COVID-19 on quality of life with resilience (r = -0.259; p < 0.001) and perceived knowledge on COVID-19(r = -0.168; p < 0.006). CONCLUSION: In our study, we found that resilience had a moderate impact on the quality of life of nursing students during the COVID-19 pandemic. Therefore, it is important to promote students' resilience and improve their quality of life during stressful situations.

Nationally representative epidemiological study of social anxiety disorder from India.

Background: Social anxiety disorder (SAD), also termed as social phobia, is a disabling psychiatric condition with limited epidemiological research on it in India. This study, using data from the National Mental Health Survey (NMHS), 2016, is the first to explore its current prevalence and associated factors in India. Materials and Methods: The NMHS in India used a comprehensive population-based study with subjects selected through a multistage stratified random cluster sampling technique across 12 states. The study included 34,802 adults interviewed with the Mini-International Psychiatric Interview 6.0.0. Firth penalized logistic regression (FPLR) was used to estimate covariate odds ratios (ORs), and the treatment gap for SAD and disability measured using Sheehan's disability scale was calculated. Results: The study found a 0.47% prevalence of SAD, with an average age of 35.68 years (standard deviation (SD) = 15.23) among those affected. Factors, such as male gender, unemployment, and living in urban areas, were associated with higher odds of SAD, while the elderly had lower odds. A significant proportion of individuals with SAD experienced disability in work (63%), social life (77%), and family life (68%). They spent a median of ₹ 2500 per month on treatment and had a high rate of comorbid psychiatric disorders (58%). The treatment gap was substantial at 82%. Conclusions: A considerable portion of India's population (approximately >65 lakhs) is affected by SAD. Surprisingly, the NMHS 2016 report indicates a higher risk of SAD among males compared with females, a trend that warrants further investigation. SAD in India is linked to significant disability and a considerable treatment gap, emphasizing the need for innovative approaches to address this large, affected population, especially in light of the scarcity of mental health professionals.

Firth's penalized logistic regression: A superior approach for analysis of data from India's National Mental Health Survey, 2016.

The National Mental Health Survey of India (NMHS) was a ground-breaking nationwide study that harnessed a uniform, standardized methodology blending quantitative and qualitative approaches. Covering data from 12 states across diverse regions, its mission was to gauge the prevalence of psychiatric disorders, bridge treatment gaps, explore service utilization, and gauge the socioeconomic repercussions of these conditions. This initiative provided pivotal insights into the intricate landscape of mental health in India. One of the analyses planned for NMHS data was to undertake a logistic regression analysis with an aim to unravel how various sociodemographic factors influence the presence or absence of specific psychiatric disorders. Within this pursuit, two substantial challenges loomed. The first pertained to data separation, a complication that could perturb parameter estimation. The second challenge stemmed from the existence of disorders with lower prevalence rates, which resulted in datasets of limited density, potentially undermining the statistical reliability of our analysis. In response to these data-driven hurdles, NMHS recognized the critical necessity for an alternative to conventional logistic regression, one that could adeptly navigate these complexities, ensuring robust and dependable insights from the collected data. Traditional logistic regression, a widely prevalent method for modeling binary outcomes, has its limitations, especially when faced with limited datasets and rare outcomes. Here, the problem of "complete separation" can lead to convergence failure in traditional logistic regression estimations, a conundrum frequently encountered when handling binary variables. Firth's penalized logistic regression emerges as a potent solution to these challenges, effectively mitigating analytical biases rooted in small sample sizes, rare events, and complete separation. This article endeavors to illuminate the superior efficacy of Firth's method in managing small datasets within scientific research and advocates for its more widespread application. We provide a succinct introduction to Firth's method, emphasizing its distinct advantages over alternative analytical approaches and underscoring its application to data from the NMHS 2015-2016, particularly for disorders with lower prevalence.

Exploring the enigma of low prevalence of post-traumatic stress disorder in India.

Introduction: Post-traumatic stress disorder (PTSD) is a chronic psychiatric condition associated with significant distress and dysfunction. While worldwide estimates of prevalence range from 3.9% to 24%, little research has been conducted to identify the prevalence of PTSD in the general population of India. This study analyzes data from the National Mental Health Survey 2015-2016, a comprehensive epidemiological study of mental health disorders in India, to explore the unique characteristics and prevalence of PTSD in the Indian population. Materials and Methods: The National Mental Health Survey 2015-2016 employed a multiple-stage, stratified, cluster-sampling methodology, covering 39,532 individuals in 12 states of India. The Mini-International Neuropsychiatric Interview (MINI) version 6.0.0 was used to diagnose psychiatric disorders, including PTSD. A detailed analysis of sociodemographic profiles, prevalence patterns, comorbidities, economic and social impact, and treatment-seeking behavior was conducted. Firth penalized logistic regression was employed to identify associated sociodemographic factors. Results: The study revealed a low prevalence of PTSD in India at 0.2%, significantly lower than global averages. Factors associated with PTSD included female gender, middle age (40-49 years), and urban residence. The study also highlighted a high rate of comorbid mood and anxiety disorders, substantial disability, poor treatment-seeking behavior, and significant suicidal risk among individuals with PTSD. Conclusion: Our findings underscore the need for culturally informed diagnostic and management programs to accurately identify and address PTSD in the Indian population. Cultural nuances, stigma, and the use of Western-derived diagnostic instruments likely contribute to the underidentification and undertreatment of PTSD in India. The study emphasizes the importance of recognizing and addressing these challenges to improve mental health outcomes in India.

Current prevalence and determinants of generalized anxiety disorder from a nationally representative, population-based survey of India.

Introduction: Generalized anxiety disorder (GAD) is one of the common anxiety disorders leading to impairment and burden. However, GAD remains the least studied anxiety disorder. There is a need for nationally representative epidemiological data of GAD to understand the current burden and plan the mental health policies and programs to attain their unmet needs. Hence, this study focuses on epidemiology, socio-demographic correlates, disability, and treatment gap of GAD from India's National Mental Health Survey (NMHS) 2016. Materials and Methods: NMHS 2016 was a nationally representative epidemiological survey of adult respondents from 12 states of India. NMHS is a multi-stage, stratified, random cluster sampling with random selection based on probability proportional to size at each stage. The Mini-International Neuropsychiatric Interview 6.0.0 used to diagnose psychiatric disorders. Sheehan disability scale was used to assess the disability. The current weighted prevalence of GAD was estimated. Association between GAD and socio-demographic factors was done using Firth's penalized logistic regression. The treatment gap and disability in GAD also calculated. Results: The current weighted prevalence of GAD is 0.57%. The male gender and higher education groups have significantly lesser odds with current GAD. Urban metro and the married group have significantly higher odds with current GAD. The most common comorbid psychiatric disorders are depression (15.8%) followed by agoraphobia (9.4%). Among respondents with current GAD in the past 6 months across three domains, around 2/5th has mild and moderate disability, 1/10th has a severe disability, and 1/20th has an extreme disability. The overall treatment gap of current GAD is 75.7%. Conclusion: NMHS 2016 has provided valuable insights into the epidemiology and burden of GAD among the general population. The available findings provide a glimpse of the current scenario in GAD to aid policymakers in targeting interventions.

Panic disorder: Epidemiology, disability, and treatment gap from nationally representative general population of India.

Introduction: Panic disorder (PD) is one of the most common and debilitating anxiety disorder. Individuals with PD seek frequent healthcare and emergency services leading to frequent work absenteeism and economic burden. However, its prevalence patterns in the Indian context are poorly understood. Hence, this article discusses the epidemiology, disability, and treatment gap from India's National Mental Health Survey 2016. Materials and Methods: National Mental Health Survey 2016 was a nationally representative epidemiological survey of adult respondents from 12 states of India. Mini International Neuropsychiatric Interview 6.0.0 is used to diagnose psychiatric disorders. Sheehan disability scale was used to assess the disability. The current weighted prevalence of PD was estimated. Association between PD and its sociodemographic correlates was done using Firth penalized logistic regression. The treatment gap and disability in PD were also calculated. Results: The lifetime and current weighted prevalence of PD was 0.5% (95% confidence interval 0.49-0.52) and 0.3% (95% confidence interval 0.28-0.41), respectively. The male gender and unemployed have significantly lesser odds with current PD. The elderly, Urban metro, and the married/separated group have significantly higher odds with current PD. The most common comorbid psychiatric disorder is agoraphobia (42.3%) and depression (30.9%) followed by Generalized Anxiety Disorder (10%). Among respondents with current PD in the past 1 month across three domains, around 80% had a disability of any severity and 20%-25% had marked disability. The overall treatment gap of current PD is 71.7%. Conclusion: It is the first study reporting prevalence from a nationally representative sample from the general population of India. The survey has shed light on the epidemiology and the challenges faced by those with PD which emphasizes the urgency of bridging the treatment gap. These findings are paramount to the development of more inclusive and effective mental health policies and interventions to tackle the current burden due to PD.

Ethical and legal issues concerning COVID 19 vaccinations in persons with mental illness in India.

Mental healthcare in India faces severe challenges amid the ongoing pandemic. India runs the largest vaccination drive globally, including booster doses to rapidly vaccinate its population of over a billion. As persons with mental illness are at greater risk of adverse outcomes from COVID 19, they need prioritized access and administration of these vaccines. This manuscript examines the current legislation and identifies how the legal and ethical frameworks can prioritize COVID 19 vaccinations for persons with mental illness in India through a review of the various legislations of India concerning persons with mental illness and judicial judgments concerning the pandemic and vaccination. Subsequently, we discuss ethical and legal challenges associated with vaccination in this vulnerable population and possible solutions. Based on the current review, the authors recommend the guidelines for capacity assessment for vaccination decisions and discuss existing legal frameworks relevant to the vaccination of persons with mental illness.

A camp approach of community psychiatry in India: Past, present, and the future.

Camps are a popular approach to deliver medical care in India. While it is usually a one-off event for physical ailments, it is a long-term affair in Psychiatry. One of the first camps in psychiatry was rolled out as early as in 1967 at Mandar, Ranchi, followed by Raipur Rani (Haryana) in 1976 and at Gunjur, Karnataka in 1977. This camp approach became extremely popular and got expanded across India as they were thought to be synonymous with community-based outreach for mental illnesses. In the past 5 years, however, newer models of community care have emerged, necessitating a relook at this traditional approach. In this paper, the authors trace the origin, utility and future directions of these camps, taking data from community psychiatry camps conducted by the National Institute of Mental Health and Neurosciences, Bengaluru, a premier neuropsychiatric tertiary care institute in India. Data have been collated from the annual reports of the Institute, database from the District Mental health Program, Government of Karnataka, India, and compared with published literature on the same field. While camps remain as one of the important avenues to reach the unreached, there is a need to change the approach of their functioning by incorporating training (primary care providers) aspects and collaborative care. The latter may make the initiative more meaningful and sustainable.

Design and development of a training video for Accredited Social Health Activists (ASHAs) on brief psychological intervention for depression.

Background: Depression poses a major public health burden and has a large treatment gap in India. The study attempts to address this treatment gap by developing a training video for Accredited Social Health Activists (ASHAs), who are community health workers, on brief psychological intervention for depression. Methods: The systematic steps utilized in the design and development of the training video on depression were: 1) Content development of the video script and training booklet for ASHAs based on the review of research literature and two Focus Group Discussions, 2) Mental Health Professionals' evaluation of the video script and training booklet for ASHAs, 3) Translation from English to Kannada, 4) ASHAs' evaluation of the video script and training booklet for ASHAs, 5) Conversion of the video script into a 'shooting script', 6) Video production, 7) Evaluation of the training video, 8) Post-production of the training video, and 9) Development of the training guide. Results: The training video titled "Light of Hope: A Training Video on Depression" was developed along with two training booklets, which are complementary resource materials, for ASHAs and the training Facilitators. The brief psychological intervention for depression elucidated in the training video incorporates the evidence-based strategies of Psychoeducation, Activity Scheduling, Problem-Solving Skills Training, and Diaphragmatic/Abdominal Breathing Skills Training. Conclusion: The study demonstrates the systematic approach that can be employed for the design and development of a mental health training video, which has evidence-based content, incorporates stakeholders' evaluative perspectives, and is culturally contextualized.