Impact of Technology Driven Mental Health Task-shifting for Accredited Social Health Activists (ASHAs): Results from a Randomised Controlled Trial of Two Methods of Training.

Mental health task shifting is a potential way to address the burgeoning treatment gap for mental illness. Easily available and accessible digital technology can be utilised to continuously engage grassroot level health workers (for example, Accredited Social Health Activists (ASHAs). However, the impact of such a strategy is not yet systematically evaluated. In this randomised controlled trial, longitudinal hybrid training of ASHAs [1 day in-person classroom training and seven online sessions (ECHO model), aimed to screen and refer to commonly prevalent mental health issues in communities] was compared with traditional one-day in-person classroom training. ASHAs (n = 75) from six Primary Health Centres in Ramanagara district, Karnataka, India were randomized into study (SG-ASHAs) and control (CG-ASHAs) groups. After excluding drop-outs, 26 ASHAs in each group were included in the final analysis of the scores on their Knowledge, attitude, and practices (KAP) in mental health. Two house-to-house surveys were conducted by both groups to identify and refer possible cases. The number of screen positives (potential persons with mental illnesses) and the KAP scores formed the outcome measures. Online sessions for SG-ASHAs were completed over 18 months, the COVID-19 pandemic being the main disruptor. SG-ASHAs identified significantly higher number of persons with potential alcohol use disorders [n = 873 (83%); p ≤ 0.001] and common mental disorders [n = 96(4%); p = 0.018], while CG-ASHAs identified significantly higher number of those with potential severe mental disorders [n = 61(61.61%); p ≤ 0.001]. As regards KAP, after controlling for baseline scores, the time effect in RMANOVA favoured SG-ASHAs. Mean total KAP score increased from 16.76 to18.57 (p < 0·01) in SG-ASHAs and from 18.65 to 18.84 (p = 0.76) in CG-ASHAs. However, the Time-group interaction effect did not favour either (F = 0.105; p = 0.748). Compared to traditional training, mentoring ASHAs for extended periods is more impactful. Easily accessible digital technology makes the latter feasible. Scaling up such initiatives carry the potential to considerably improve treatment access for those in need.

Mental Health Impact of COVID-19 Infection on Postpartum Women from Lower and Middle-income Backgrounds in India and its Effects on Early Mother-infant Bonding: An Observational Study.

The study was designed to examine the mental health impact of COVID-19 infection in postpartum women and its effects on mother-infant bonding during the first eight weeks postpartum. Fifty-seven consenting eligible postpartum women were recruited for the study. They were assessed at two time points using standardized rating scales to measure distress and uniquely designed scales assessing COVID-19-specific outcome fears and bonding. Almost half [42%] of postpartum women with COVID-19 suffered from a probable anxiety disorder, and one-third [33.3%] suffered from probable depression. The overwhelming majority [91.2%] experienced COVID-19-specific fear. There was an inverse relationship between one dimension of maternal caregiving and self-report depression and anxiety scores, respectively. Additionally, despite discharge, 25% of the mothers had not breastfed the infants till the 8th-week postpartum period, which is in discordance with the World Health Organization (WHO) recommendation of exclusive breastfeeding up to 6 months of age that is widely practiced in India. The novel COVID-19 pandemic was associated with anxiety and depression, impacting mother-infant bonding. Therefore, there is a need for specialized mental health services and individualized breastfeeding interventions for this vulnerable population to ensure positive outcomes.

Laparoscopic subcutaneous onlay mesh repair for ventral hernia: Our early experience.

Introduction: Repair of the ventral hernia is an ongoing challenge in surgery, and a number of surgical techniques have been developed ranging from direct suturing techniques to the use of various mesh types in different planes of the abdominal wall to close the defect and strengthen the musculofascial tissue. Laparoscopic subcutaneous onlay mesh (SCOM) repair is a novel procedure developed recently for ventral hernia repair. We would like to share our experience with laparoscopic SCOM repair. Patients and Methods: This is a prospective observational study of patients who have undergone ventral hernia repair at Bangalore Endoscopic Surgery Training Institute and Research Centre from June 2020 to June 2022. A total of 20 patients are included in this study. Statistical Analysis Used: The data were entered into MS Excel and analysed. Results: A total of 20 patients underwent SCOM repair with a defect size measuring up to 8 cm × 8 cm and a mean operative time of 117 min. Three patients had seroma formation and one patient had surgical site infection. No recurrence is seen after 1-year 2-month follow-up. Conclusion: SCOM repair is the newer approach to ventral hernia repair with the advantage over open onlay mesh repair in terms of less pain and better cosmesis. SCOM repair avoids intraperitoneal dissection which may lead to visceral injuries as well as subsequent intraperitoneal adhesions. The acceptance of such surgeries would depend on further long-term studies.

Amantadine-induced psychosis in Wilson disease.

Wilson disease is a rare genetic disorder of copper metabolism causing hepatic dysfunction and neuro-psychiatric manifestations. While psychosis in Wilson disease is uncommon, it can occur, especially with certain medications. We describe a 40-year-old woman diagnosed with Wilson disease who developed psychotic symptoms following the initiation and dose escalation of amantadine, a drug commonly used to treat parkinsonism associated with the disorder. Her symptoms included delusions of persecution, irritability and anomalous self-experiences such as 'made' phenomena, which are typically seen in schizophrenia. The psychosis resolved after discontinuing amantadine, without worsening her neurological symptoms. This underscores the importance of monitoring for psychiatric side-effects, particularly Schneiderian first-rank symptoms, in patients with Wilson disease being treated with amantadine. The findings suggest a probable adverse drug reaction, highlighting the need for careful evaluation and dose adjustments in such complex clinical cases.

Repetition-Dependent Adaptation and Prediction Error Signalling in Schizophrenia Patients With Auditory Hallucinations: A Roving Mismatch Negativity Study.

BACKGROUND: Dysregulated prediction error-signalling may explain auditory hallucinations in schizophrenia (SZ-AH). Roving mismatch negativity (rMMN) is an event-related potential (ERP) index where the deviant tone becomes the new standard with repetitions. Longer repetitions of standard stimuli yield a more positive sensory-adaptation response (Repetition Positivity-RP), elicit a stronger deviance-detection when interrupted (deviant negativity-DN), and the difference waveform between them reflects the strength of prediction-error signalling (mismatch negativity-MMN). METHODS: Twenty-three SZ-AH patients and twenty-three healthy controls (HC) underwent rMMN assessment. Various standard stimuli were repeated in sets of 3, 8 and 33 yielding three components for RP (RP3, RP8, RP33), DN (DN3, DN8, DN33), and MMN (MMN3, MMN8, MMN33). Amplitudes and latencies were compared across groups. Correlation between (a) rMMN amplitudes and latencies, and clinical variables in SZ-AH, and (b) the RP-DN amplitude pair for all three repetition sets (3, 8, 33) were also examined. RESULTS: All DN and MMN33 amplitudes were significantly suppressed in SZ-AH, while RP amplitudes were not. MMN33 latency was significantly longer in SZ-AH than HC. A few amplitudes and latencies significantly correlated with the frequency of AH. HC showed a significant positive correlation between RP-DN amplitude pairs for sets of 3 and 8 but not for 33; SZ-AH group's correlation profile was opposite to this. DISCUSSION: The link between repetition-dependent sensory-adaptation and deviance-detection is perturbed in SZ-AH. The unimpaired RP profile in SZ-AH is due to potential interference of AH with auditory information processing, and does not indicate a preserved short-term plasticity of the echoic memory trace.

Home-based tDCS for schizophrenia: Exploring the feasibility of a standard operating procedure.

Transcranial Direct Current Stimulation (tDCS), a safe and easy-to-administer noninvasive brain stimulation technique, holds promise in managing auditory verbal hallucinations (AVH) in schizophrenia. However, its short-lasting effect often leads to frequent hospital visits for booster/maintenance sessions, posing logistical challenges. Home-based tDCS offers a potential solution that improves accessibility; however, careful standardisation is required to ensure safe and effective application. We present a case of schizophrenia, where add-on home-based tDCS was administered based on a standard operating procedure (SOP) developed to address challenges unique to home administration, like device-related factors, patient and caregiver-related factors, and comprehensive caregiver training protocol. As a part of training, caregivers underwent observational learning, mannequin-based training for electrode placement, and assisted live-patient sessions. Pre and post-training competency assessments were done to ensure proficiency and safe administration. Over ten days, home-based tDCS sustained improvements in AVH without adverse effects. This case report supports the feasibility of home-based tDCS and provides a detailed SOP for implementing a safe and effective home-based tDCS treatment regime. This comprehensive SOP with a training protocol is notedly efficient for enhancing the accessibility and affordability of tDCS treatment protocols.

Successful use of ketamine to treat severe depression with suicidality post-COVID-19 - A case report.

Every second patient who suffers from COVID-19 experiences is at risk for depression. The treatment of severe depression with suicidal risk is challenging in patients with COVID-19 given the restrictions in access to and safety concerns with the use of electroconvulsive therapy during the COVID pandemic. Although ketamine is effective in treating depression, especially in presence of acute suicidality, to date, there are no reports on ketamine use to treat severe depression in the context of COVID-19. In this case report, we describe the success of ketamine to treat a person with severe depression and suicidality following COVID-19 infection.

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.

Treatment strategies for serotonin reuptake inhibitor-resistant obsessive-compulsive disorder: A network meta-analysis of randomised controlled trials.

OBJECTIVES: Treatment-resistant obsessive-compulsive disorder is a chronic debilitating illness. We conducted a network meta-analysis [NMA] to compare the efficacy of all interventions in SRI-resistant OCD from published Randomised controlled trials [RCT]. METHODS: We performed an NMA of RCTs in SRI resistant OCD from all modalities of treatments; pharmacological, psychological, neuromodulation, neurosurgery including deep brain stimulation. The design-by-treatment interaction inconsistency model within the frequentist framework was adopted with a change in Yale-Brown Obsessive-Compulsive Scale score as the primary outcome. We conducted sensitivity analyses excluding studies examining neurosurgical interventions, deep brain stimulation, studies in the paediatric population, and studies from a single geographical region. We also conducted analyses of interventions categorised into treatment groups. RESULTS: 55 RCTs examining 19 treatments or placebo involving 2011 participants were included in the NMA. Ondansetron [Standardised mean difference -2.01 (95% CI: -3.19, -0.83)], deep TMS [- 1.95 (-3.25, -0.65)], therapist administered Cognitive Behavioural Therapy [CBT-TA] [-1.46 (-2.93, 0.01)] and aripiprazole [-1.36 (-2.56, -0.17)] were ranked as the best four treatments on using the Surface Under the Cumulative Ranking [SUCRA] percentage values (85.4%, 83.2%, 80.3%, 67.9% respectively). While all four interventions had large effect sizes, CBT[TA] narrowly missed statistical significance in our analysis. In sensitivity analyses, deep TMS was ranked as the best treatment strategy for SRI-resistant OCD. The small number of subjects in individual studies, higher confidence interval limits, and wider prediction interval for most agents warrant a cautious interpretation. CONCLUSIONS: Considering the principal analysis and sensitivity analyses together, deep TMS, ondansetron, CBT[TA], and aripiprazole may be considered a first-line intervention for SRI-resistant OCD in adults. OTHER: This work was not funded. The NMA has been registered with PROSPERO, [Registration number: CRD42020173589].

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.

Bipolar affective disorder in India: A multi-site population-based cross-sectional study.

Introduction: Bipolar Affective Disorder (BPAD) merits careful consideration within the medical and healthcare communities, researchers, and policymakers. This is due to its substantial disability burden, elevated prevalence of co-morbidities, heightened lifetime risk of suicidality, and a significant treatment gap. This article focuses on the lifetime and current prevalence, correlates, co-morbidities, associated disabilities, socio-economic impact, and treatment gap for BPAD in the adult population of the National Mental Health Survey (NMHS) 2016. Materials and Methods: The NMHS 2016 was a nationally representative study conducted across 12 Indian states between 2014 and 2016. A multi-stage, stratified, random cluster sampling technique based on probability proportionate to size at each stage was used. The diagnosis of BPAD was based on Mini-International Neuropsychiatric Interview 6.0.0. Sheehan's Disability Scale was used to assess the disability. Results: A total of 34,802 adults were interviewed. The overall weighted prevalence of BPAD was 0.3% [95% confidence interval (CI): 0.29-0.31] for current and 0.5% (95% CI: 0.49-0.51) for lifetime diagnosis. Male gender [odds ratio (OR) 1.56] and residence in urban metropolitans (OR 2.43) had a significantly higher risk of a lifetime diagnosis of BPAD. Substantial cross-sectional co-morbidities were noted as per MINI 6.0.0 with the diagnosis of current BPAD such as tobacco use disorder (33.3%), other substance use disorders (14.6%), and anxiety disorders (10.4%). Two-thirds of persons with current BPAD reported disability of varying severity at work (63%), social (59.3%), and family life (63%). The treatment gap for current BPAD was 70.4%. Conclusion: Most individuals with current BPAD reported moderate-severe disability. There were substantial co-morbidities and a large treatment gap. These warrant concentrated efforts from policymakers in devising effective strategies.

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.

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.

Schizophrenia spectrum disorders in India: A population-based study.

Introduction: Schizophrenia spectrum disorders represent a significant global health concern, contributing significantly to the global burden of disease. The National Mental Health Survey (NMHS) of India, conducted between 2015 and 2016, investigated the prevalence and epidemiological correlates of schizophrenia spectrum disorders in India. Materials and Methods: The NMHS conducted a population-based cross-sectional study in 12 Indian states from 2015 to 2016, encompassing 34,802 adults. The overall study design of the NMHS was a multistage, stratified, random cluster sampling technique, incorporating random selection based on probability proportion to size at each stage. The Mini-International Neuropsychiatric Interview 6.0 was used for psychiatric diagnoses, disability was assessed using Sheehan's disability scale, and the illness-related socioeconomic impact was assessed using a questionnaire based on the World Health Organization Disability Assessment Schedule 2.0. Firth penalized logistic regression was employed to understand the correlates of current schizophrenia spectrum disorder. Results: The study found a lifetime prevalence of schizophrenia spectrum disorders at 1.41%, with a current prevalence of 0.42%. A substantial treatment gap of 72% existed for current cases, rising to 83.3% in urban non-metro areas. The penalized logistic regression revealed that the age group category of 30-49 years, unemployed status, and lower education level had higher odds of association with schizophrenia spectrum disorders. Conclusion: The primary finding of this study is a lifetime prevalence of 1.41%, a current prevalence of 0.42%, and a substantial treatment gap of 72%. Addressing this treatment gap and holistic intervention is crucial for reducing the socioeconomic impact of this disorder. Strengthening the National Mental Health Program and implementing community-based rehabilitation are essential first steps in this direction.

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.