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.

Identification of Psychiatric Disorders by Rural Grass-Root Health Workers: Case Series & Implications for the National Mental Health Program of India.

Auxiliary Nurse Midwife (ANMs) and Accredited Social Health Activists (ASHAs) are well suited to cater to the mental health needs of the communities. Integrating primary mental health care into the general healthcare is one of the important objectives of the District Mental Health Program (DMHP) to reduce the treatment gap. As a part of an ICMR funded trial to evaluate the effectiveness of NIMHANS-ECHO blended training program, the ASHAs and ANMs were trained to identify and refer cases from the community. We aim to describe a series of cases identified by those workers from the community, highlighting their importance in our health care system.

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.

Multivariate associations between cognition and neighborhood geospatial characteristics in schizophrenia.

Cognitive impairment contributes to functional impairment in schizophrenia. Yet, little is known about how environmental characteristics are related to cognition in schizophrenia. By examining how cognition and the environment are intertwined, it may be possible to identify modifiable risk and protective factors that can improve cognitive outcomes in schizophrenia. We aimed to identify multivariate associations between cognition and three geospatial characteristics (built-space density, habitable green spaces, and public spaces for social interaction) within one's immediate neighborhood among individuals with schizophrenia. We recruited participants with schizophrenia from three sites - an urban metropolitan and two towns in southern India. We administered standard cognitive assessments and performed a principal axis factoring to identify episodic memory, cognitive control, and social inference-making factors for use in further analyses. We estimated geospatial characteristics of an individual's neighborhood, i.e., up to 1 km2 around the residence, by sourcing data from Google Earth. We performed unconditional and conditional (to examine the effect of clinical covariates) canonical correlation analyses to understand the multivariate relationship between cognition and geospatial characteristics. We analyzed data from 208 participants; the first canonical cognitive variate (higher social inference-making and poorer cognitive control) shared 24% of the variance (r = 0.49; P < 0.001) with the first geospatial variate (lower built density and poorer access to public spaces). Years of education, age at onset, and place of residence significantly modulated this relationship. We observe differential associations of the built environment with social and non-social cognition in schizophrenia, and highlight the clinical and demographic characteristics that shape these associations.

Chhattisgarh community mental healthcare tele-mentoring program (CHaMP): Digitally driven initiative to reach the unreached.

OBJECTIVE: Harnessing technology is one accepted method to leapfrog the barrier of inadequate trained human resources for mental health. The Chhattisgarh Community Mental Healthcare Tele-Mentoring Program (CHaMP) is a collaborative digitally driven initiative of the Government of Chhattisgarh (GOC) and the National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru the aim of which is to train the Primary Care Doctors (PCDs) and Rural Medical Assistants (RMA) to identify, screen and treat/refer cases of mental health disorders presenting to the primary care settings (n = 2150). The objective of this article is to give a brief overview of the initiative. METHODS: CHaMP consists of the following modules: (a) a brief on-site training (b) eLearning and Skill Development (eLSD) and (c) Collaborative Video Consultation (CVC). The latter two are andragogic training methods delivered digitally. RESULTS AND CONCLUSION: From August 2019 to May 2020, 501 PCDs and RMAs have been covered. During this time, they have cared 15,000 patients suffering from mental illness, which hitherto was not the case. Technology that is easily available and usable has the potential to overcome the big hurdle of inadequate mental health human resources in India.

Carbamazepine/oxcarbazepine and valproate have different effects on the electroconvulsive therapy seizure threshold.

Patients receiving mood stabilizers such as valproate (VAL) and carbamazepine (CMZP)/Oxcarbazepine (OX) may be referred for electroconvulsive therapy (ECT). The relative effects of these anticonvulsants on seizure threshold and seizure duration are unknown. We extracted data for a 20-month period from the medical records of patients who received bilateral ECT while on treatment with VAL (n=102) or CMZP/OX (n=31; 20 on CMZP, 11 on oxcarbazepine). Age-matched ECT-treated anticonvulsant-free patients (n=133) formed the control group. Seizure threshold in these patients had been determined by stimulus dose titration. The effect of VAL vs CMZP/OX on seizure threshold was examined using multivariable regression with adjustment for confounders. The mean (standard deviation) seizure threshold at the first ECT was highest in the CMZP/OX group (243.9 [106.1] mC), intermediate in the VAL group (177.7 [97.0] mC), and lowest in the control group (138.7 [86.0 Mc]). The regression model explained 37.5% of the variance in seizure threshold at the first ECT. Age, use of CMZP/OX, and anticonvulsant dose were each significantly associated with higher seizure threshold. CMZP/OX was associated with a higher initial ECT seizure threshold than VAL. ECT practitioners may prefer to start with a higher initial stimulus dose in patients receiving CMZP/OX or VAL, and more so for CMZP/OX than VAL, to avoid repeated sub-convulsive stimuli being administered.

Resting-state functional connectivity predictors of treatment response in schizophrenia - A systematic review and meta-analysis.

We aimed to systematically synthesize and quantify the utility of pre-treatment resting-state functional magnetic resonance imaging (rs-fMRI) in predicting antipsychotic response in schizophrenia. We searched the PubMed/MEDLINE database for studies that examined the magnitude of association between baseline rs-fMRI assessment and subsequent response to antipsychotic treatment in persons with schizophrenia. We also performed meta-analyses for quantifying the magnitude and accuracy of predicting response defined continuously and categorically. Data from 22 datasets examining 1280 individuals identified striatal and default mode network functional segregation and integration metrics as consistent determinants of treatment response. The pooled correlation coefficient for predicting improvement in total symptoms measured continuously was ~0.47 (12 datasets; 95% CI: 0.35 to 0.59). The pooled odds ratio of predicting categorically defined treatment response was 12.66 (nine datasets; 95% CI: 7.91-20.29), with 81% sensitivity and 76% specificity. rs-fMRI holds promise as a predictive biomarker of antipsychotic treatment response in schizophrenia. Future efforts need to focus on refining feature characterization to improve prediction accuracy, validate prediction models, and evaluate their implementation in clinical practice.

The Future of Telepsychiatry in India.

Technology is bringing about a revolution in every field and mental health care is no exception. The ongoing COVID-19 pandemic has provided us with both a need and an opportunity to use technology as means to improve access to mental health care. Hence, it is imperative to expand and harness the tremendous potential of telepsychiatry by expanding the scope of its applications and the future possibilities. In this article, we explore the different avenues in digital innovation that is revolutionizing the practice in psychiatry like mental health applications, artificial intelligence, e-portals, and technology leveraging for building capacity. Also, we have also visualized what the future has in store for our practice of psychiatry, considering how rapid technological advances can occur and how these advances will impact us. There will be challenges on the road ahead, especially for a country like India for instance; the digital divide, lack of knowledge to utilize the available technology and the need for a quality control and regulation. However, it is safe to presume that telepsychiatry will evolve and progress beyond these roadblocks and will fulfill its role in transforming health care. Telepsychiatry will improve the health care capacity to interact with patients and family. The blurring of national and international borders will also open international opportunities to psychiatrist in India, heralding a new wave of virtual health tourism.

Impact Evaluation of VKN-NIMHANS-ECHO Model of Capacity Building for Mental Health and Addiction: Methodology of Two Randomized Controlled Trials.

BACKGROUND: Bridging the alarming treatment gap for mental disorders in India requires a monumental effort from all stakeholders. Harnessing digital technology is one of the potential ways to leapfrog many known barriers for capacity building. AIM AND CONTEXT: The ongoing Virtual Knowledge Network (VKN)-National Institute of Mental Health and Neurosciences (NIMHANS)-Extension of Community Health Outcomes (ECHO) (VKN-NIMHANS-ECHO: hub and spokes model) model for skilled capacity building is a collaborative effort between NIMHANS and the University of New Mexico Health Sciences Centre, USA. This article aims to summarize the methodology of two randomized controlled trials funded by the Indian Council of Medical Research (ICMR) designed to evaluate the effectiveness of the VKN-NIMHANS-ECHO model of training as compared to training as usual (TAU). METHODS: Both RCTs were conducted in Karnataka, a southern Indian state in which the DMHP operates in all districts. We compared the impact of the following two models of capacity building for the DMHP workforce (a) the VKN-NIMHANS-ECHO model and (b) the traditional method. We use the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) statement to describe the methods of these two trials.Trial 1 is to evaluate the "Effectiveness of addition of Virtual-NIMHANS-ECHO tele-mentoring model for skilled capacity building in providing quality care in alcohol use disorders by the existing staff of DMHP districts of Karnataka." Hub for trial 1 was set up at NIMHANS and the spokes were psychiatrists and other mental health professionals headquartered in the district level office. Trial 2 assesses the implementation and evaluation of the NIMHANS-ECHO blended training program for the DMHP workforce in a rural south-Indian district of Karnataka state. The hub for trial 2 was set up in the district headquarter of Ramanagaram. Hub specialists are DMHP psychiatrists, whereas spokes are the non-doctor workforce (including auxiliary nurse midwives [ANMs] and accredited social health activists [ASHA] workers) medical officers of primary health centers. The location of the HubHub differs in these two studies. Both trials are funded by the ICMR, Government of India. DISCUSSION: Both these trials, though conceptually similar, have some operational differences which have been highlighted. If demonstrated to be effective, this model of telementoring can be generalized and widely merged into the Indian health care system, thus aiding in reducing the treatment gap for patients unable to access care.