Remote coaching for supporting the implementation of treatment for depression in primary care in Madhya Pradesh, India: protocol for a cluster randomized controlled trial.

Background: Upwards of ninety percent of individuals living with depression in India do not have access to evidence-based treatments, especially in rural areas. Integrating these treatments into primary care is essential for bridging this care gap. This trial aims to evaluate whether a remote coaching implementation support strategy, referred to as Enhanced Implementation Support, is superior to routine support, referred to as Routine Implementation Support, in supporting the delivery of collaborative depression care in rural primary care centers. Methods: Employing a cluster-randomized hybrid type-III implementation trial design, 14 primary care facilities in Sehore district, Madhya Pradesh, will implement a collaborative depression care package based on the WHO's mhGAP program. Facilities will be randomized to either Enhanced Implementation Support or the Routine Implementation Support control condition. Enhanced Implementation Support consists of remote coaching and technical assistance, supplemented with in-person visits, and guided by the Plan-Do-Study-Act implementation cycles. The primary implementation outcome is the proportion of outpatients screened for depression by facility staff, with secondary outcomes including the proportions of outpatients who screen positive for depression, are referred to the medical officer, and initiate treatment. Secondary patient outcomes include proportion of patients who achieve reduction in depression symptom severity at 3-month follow up. Acceptability, feasibility, and fidelity of the depression care package will be assessed through routine observations collected during field visits, facility audits, and qualitative exit interviews with facility staff. Costs of delivering the Enhanced Implementation Support strategy will also be estimated. Discussion: This trial can inform efforts to integrate depression care in rural primary care facilities in a low-resource setting, and illuminate whether external coaching support is superior relative to existing implementation support for achieving these goals. Trial Registration: NCT05264792.

Interventions for improving adherence to psychological treatments for common mental disorders: a systematic review.

Our systematic review aims to synthesise the evidence on interventions targeting improvement in patient adherence to psychological treatments for common mental disorders. A search was conducted on six electronic databases using search terms under the following concepts: common mental disorders, adherence, psychological treatments and controlled trial study design. Due to the heterogeneity in intervention content and outcomes evaluated in the included studies, a narrative synthesis was conducted. Risk of bias was assessed using the Cochrane Risk of Bias Version 2 tool for randomised controlled trials and the Cochrane ROBINS-I tool for non-randomised controlled trials. The search yielded 23 distinct studies with a total sample size of 2,779 participants. All studies were conducted in high-income or upper-middle-income countries. Interventions to improve patient adherence to psychological treatments included reminders and between-session engagement (e.g., text messages), motivational interviewing, therapy orientation (e.g., expectation-setting) and overcoming structural barriers (e.g., case management). Interventions from 18 out of 23 studies were successful in improving at least one primary adherence outcome of interest (e.g., session attendance). Some studies also reported an improvement in secondary outcomes - six studies reported an improvement in at least one clinical outcome (e.g., depression), and three studies reported improvements in at least one measure of well-being or disability (e.g., days spent in in-patient treatment). By incorporating these interventions into psychological treatment services, therapists can better engage with and support their patients, potentially leading to improved mental health outcomes and overall well-being.

Economic interventions for the prevention of mental health problems: The role of cash transfers.

There is a strong, bidirectional association between social disadvantage and poor mental health. The risk of experiencing mental health problems is particularly enhanced by factors associated with living in poverty. Thus, economic interventions may be effective in reducing the burden of mental health issues in these populations. This article explores the evidence based on one specific type of economic intervention on mental health, that is, supplementing household income through cash transfers. This narrative evidence is supplemented by an in-depth analysis of one of the world's largest national cash transfer programs, the Bolsa Família program, in Brazil. We report that evidence from multiple contexts clearly demonstrates that cash transfers are highly effective in reducing the burden of mental health issues and reducing mental health disparities. We then consider the specific mechanisms through which cash transfers influence mental health. Finally, we discuss the need for these interventions and, referring to the Brazilian case study, explore potential strategies for their implementation at scale and the implications for research and policy. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

District-level monitoring of universal health coverage, India.

Objective: To develop a framework and index for measuring universal health coverage (UHC) at the district level in India and to assess progress towards UHC in the districts. Methods: We adapted the framework of the World Health Organization and World Bank to develop a district-level UHC index (UHC d ). We used routinely collected health survey and programme data in India to calculate UHC d for 687 districts from geometric means of 24 tracer indicators in five tracer domains: reproductive, maternal, newborn and child health; infectious diseases; noncommunicable diseases; service capacity and access; and financial risk protection. UHC d is on a scale of 0% to 100%, with higher scores indicating better performance. We also assessed the degree of inequality within districts using a subset of 14 tracer indicators. The disadvantaged subgroups were based on four inequality dimensions: wealth quintile, urban-rural location, religion and social group. Findings: The median UHC d was 43.9% (range: 26.4 to 69.4). Substantial geographical differences existed, with districts in southern states having higher UHC d than elsewhere in India. Service coverage indicator levels were greater than 60%, except for noncommunicable diseases and for service capacity and access. Health insurance coverage was limited, with about 10% of the population facing catastrophic and impoverishing health expenditure. Substantial wealth-based disparities in UHC were seen within districts. Conclusion: Our study shows that UHC can be measured at the local level and can help national and subnational government develop prioritization frameworks by identifying health-care delivery and geographic hotspots where limited progress towards UHC is being made.

Knowledge of Problem Solving (KOPS) Scale: Design and Evaluation of a Digitally Administered Competence Measure for a Common Practice Element in Task-Shared Youth Mental Health Interventions.

There are few reliable and feasible quality assurance methods to support scaling up of psychological interventions delivered by non-specialist providers. This paper reports on the phased development and validation of a digitally administered Knowledge of Problem Solving (KOPS) measure to assess competencies associated with a "task-shared" problem-solving intervention for adolescents with diverse mental health problems in India. Phase 1 established key competencies required to deliver the intervention, followed by item generation for a corresponding knowledge-based competency measure that could be administered efficiently through e-learning systems. In phase 2, items were refined based on responses from an "experienced" reference sample comprising 17 existing counsellors with direct experience of the problem-solving intervention, and a "novice" sample with 14 untrained university students and NGO staff. In phase 3, we evaluated two parallel versions of the measure in a validation sample (N = 277) drawn from universities and NGOs. The resulting 17-item measure was structured around a hypothetical case, followed by multiple-choice questions that asked about the most appropriate response to a practice-based scenario. The difficulty level of the test items was well matched to the ability level of participants (i.e. most items being of moderate difficulty and few items being easy or difficult). Only one item showed a negative discrimination index and was removed from the 17-item forms. The final 16-item version of the KOPS measure provides a scalable digital method to assess key psychotherapeutic competencies among non-specialists, particularly in relation to a transdiagnostic problem-solving intervention. Similar formats could be deployed more widely alongside e-learning programmes to expand the global workforce capable of delivering evidence-based psychological interventions. Supplementary Information: The online version contains supplementary material available at 10.1007/s41347-023-00356-9.

Effectiveness and cost-effectiveness of a community intervention in enhancing access to care and improving clinical outcomes for depression: a protocol for a cluster randomised controlled trial in India.

BACKGROUND: Although depression is the leading cause of disability worldwide, treatment coverage for the condition is inadequate. Supply-side barriers (e.g. shortage of specialist mental health professionals) and demand-side barriers (e.g. lack of awareness about depression) lead to limited availability of evidence-based interventions, poor demand for care, and low levels of adherence to care. The aim of our study is to examine if the addition of a community intervention delivered by community volunteers enhances the population-level impact of an evidence based psychosocial intervention (Healthy Activity Program [HAP]) in routine primary care by increasing demand for HAP and improving HAP adherence and effectiveness. METHODS: A hybrid type 2 effectiveness implementation cluster randomised controlled trial will be implemented in the state of Goa, India. Twenty-eight clusters of villages and their associated public sector health centres will be randomly allocated through restricted randomisation. Clusters will be randomly allocated to the 'Community Model' or 'Facility Model' arms. All clusters will offer the HAP and clusters in the 'Community Model' arm will additionally receive activities delivered by community volunteers ("Sangathis") to increase awareness about depression and support demand for and adherence to HAP. The primary outcomes are Contact Coverage (Patient Health Questionnaire [PHQ-9] score > 4 as a proportion of those screened) and Effectiveness Coverage (mean PHQ-9 score amongst those who score ≥ 15 at baseline, i.e. those who have moderately severe to severe depression) at 3 months post-recruitment. Additional outcomes at 3 and 6 months will assess sustained effectiveness, remission, response to treatment, depression awareness, social support, treatment completion, and activation levels. Economic and disability outcomes will be assessed to estimate incremental cost-effectiveness ratios. Implementation will be evaluated through process data and qualitative data informed by the RE-AIM framework. A minimum of 79488 primary care attenders will be screened for the Contact Coverage outcome, and 588 individuals with PHQ-9 ≥ 15 will be recruited for the Effectiveness Coverage outcome. DISCUSSION: If effective, our community intervention will have relevance to India's Ayushman Bharat universal healthcare programme which is scaling up care for depression in primary care, and also to other low- and middle- income countries. TRIAL REGISTRATION: Registered on ClincalTrials.gov ( NCT05890222 .) on 12/05/2023.

Erratum: Scaling up the task-sharing of psychological therapies: A formative study of the PEERS smartphone application for supervision and quality assurance in rural India - CORRIGENDUM.

[This corrects the article DOI: 10.1017/gmh.2024.11.].

Patterns and correlates of mental healthcare utilization during the COVID-19 pandemic among individuals with pre-existing mental disorder.

How did mental healthcare utilization change during the COVID-19 pandemic period among individuals with pre-existing mental disorder? Understanding utilization patterns of these at-risk individuals and identifying those most likely to exhibit increased utilization could improve patient stratification and efficient delivery of mental health services. This study leveraged large-scale electronic health record (EHR) data to describe mental healthcare utilization patterns among individuals with pre-existing mental disorder before and during the COVID-19 pandemic and identify correlates of high mental healthcare utilization. Using EHR data from a large healthcare system in Massachusetts, we identified three "pre-existing mental disorder" groups (PMD) based on having a documented mental disorder diagnosis within the 6 months prior to the March 2020 lockdown, related to: (1) stress-related disorders (e.g., depression, anxiety) (N = 115,849), (2) serious mental illness (e.g., schizophrenia, bipolar disorders) (N = 11,530), or (3) compulsive behavior disorders (e.g., eating disorder, OCD) (N = 5,893). We also identified a "historical comparison" group (HC) for each PMD (N = 113,604, 11,758, and 5,387, respectively) from the previous year (2019). We assessed the monthly number of mental healthcare visits from March 13 to December 31 for PMDs in 2020 and HCs in 2019. Phenome-wide association analyses (PheWAS) were used to identify clinical correlates of high mental healthcare utilization. We found the overall number of mental healthcare visits per patient during the pandemic period in 2020 was 10-12% higher than in 2019. The majority of increased visits was driven by a subset of high mental healthcare utilizers (top decile). PheWAS results indicated that correlates of high utilization (prior mental disorders, chronic pain, insomnia, viral hepatitis C, etc.) were largely similar before and during the pandemic, though several conditions (e.g., back pain) were associated with high utilization only during the pandemic. Limitations included that we were not able to examine other risk factors previously shown to influence mental health during the pandemic (e.g., social support, discrimination) due to lack of social determinants of health information in EHR data. Mental healthcare utilization among patients with pre-existing mental disorder increased overall during the pandemic, likely due to expanded access to telemedicine. Given that clinical correlates of high mental healthcare utilization in a major hospital system were largely similar before and during the COVID-19 pandemic, resource stratification based on known risk factor profiles may aid hospitals in responding to heightened mental healthcare needs during a pandemic.

Scalable Transdiagnostic Early Assessment of Mental Health (STREAM): a study protocol.

INTRODUCTION: Early childhood development forms the foundations for functioning later in life. Thus, accurate monitoring of developmental trajectories is critical. However, such monitoring often relies on time-intensive assessments which necessitate administration by skilled professionals. This difficulty is exacerbated in low-resource settings where such professionals are predominantly concentrated in urban and often private clinics, making them inaccessible to many. This geographic and economic inaccessibility contributes to a significant 'detection gap' where many children who might benefit from support remain undetected. The Scalable Transdiagnostic Early Assessment of Mental Health (STREAM) project aims to bridge this gap by developing an open-source, scalable, tablet-based platform administered by non-specialist workers to assess motor, social and cognitive developmental status. The goal is to deploy STREAM through public health initiatives, maximising opportunities for effective early interventions. METHODS AND ANALYSIS: The STREAM project will enrol and assess 4000 children aged 0-6 years from Malawi (n=2000) and India (n=2000). It integrates three established developmental assessment tools measuring motor, social and cognitive functioning using gamified tasks, observation checklists, parent-report and audio-video recordings. Domain scores for motor, social and cognitive functioning will be developed and assessed for their validity and reliability. These domain scores will then be used to construct age-adjusted developmental reference curves. ETHICS AND DISSEMINATION: Ethical approval has been obtained from local review boards at each site (India: Sangath Institutional Review Board; All India Institute of Medical Science (AIIMS) Ethics Committee; Indian Council of Medical Research-Health Ministry Screening Committee; Malawi: College of Medicine Research and Ethics Committee; Malawi Ministry of Health-Blantyre District Health Office). The study adheres to Good Clinical Practice standards and the ethical guidelines of the 6th (2008) Declaration of Helsinki. Findings from STREAM will be disseminated to participating families, healthcare professionals, policymakers, educators and researchers, at local, national and international levels through meetings, academic journals and conferences.

Digital phenotyping correlates of mobile cognitive measures in schizophrenia: A multisite global mental health feasibility trial.

Traditional cognitive assessments in schizophrenia are time-consuming and necessitate specialized training, making routine evaluation challenging. To overcome these limitations, this study investigates the feasibility and advantages of utilizing smartphone-based assessments to capture both cognitive functioning and digital phenotyping data and compare these results to gold standard measures. We conducted a secondary analysis of data from 76 individuals with schizophrenia, who were recruited across three sites (one in Boston, two in India) was conducted. The open-source mindLAMP smartphone app captured digital phenotyping data and Trails A/B assessments of attention / memory for up to 12 months. The smartphone-cognitive tasks exhibited potential for normal distribution and these scores showed small but significant correlations with the results from the Brief Assessment of Cognition in Schizophrenia, especially the digital span and symbol coding tasks (r2 = 0.21). A small but significant correlation (r2 = 0.29) between smartphone-derived cognitive scores and health-related behaviors such as sleep duration patterns was observed. Smartphone-based cognitive assessments show promise as cross-cultural tools that can capture relevant data on momentary states among individuals with schizophrenia. Cognitive results related to sleep suggest functional applications to digital phenotyping data, and the potential of this multimodal data approach in research.

Changes in the prevalence of mental health problems during the first year of the pandemic: a systematic review and dose-response meta-analysis.

AIM: To describe the pattern of the prevalence of mental health problems during the first year of the COVID-19 pandemic and examine the impact of containment measures on these trends. METHODS: We identified articles published until 30 August 2021 that reported the prevalence of mental health problems in the general population at two or more time points. A crowd of 114 reviewers extracted data on prevalence, study and participant characteristics. We collected information on the number of days since the first SARS-CoV-2 infection in the study country, the stringency of containment measures and the number of cases and deaths. We synthesised changes in prevalence during the pandemic using a random-effects model. We used dose-response meta-analysis to evaluate the trajectory of the changes in mental health problems. RESULTS: We included 41 studies for 7 mental health conditions. The average odds of symptoms increased during the pandemic (mean OR ranging from 1.23 to 2.08). Heterogeneity was very large and could not be explained by differences in participants or study characteristics. Average odds of psychological distress, depression and anxiety increased during the first 2 months of the pandemic, with increased stringency of the measures, reported infections and deaths. The confidence in the evidence was low to very low. CONCLUSIONS: We observed an initial increase in the average risk of psychological distress, depression-related and anxiety-related problems during the first 2 months of the pandemic. However, large heterogeneity suggests that different populations had different responses to the challenges imposed by the pandemic.

Adolescent engagement in a stepped care, transdiagnostic mental health intervention delivered in Indian schools.

Given the relationship between poor engagement and worse treatment outcomes, improving engagement has been the focus of attention in recent years. Engagement is a particular challenge among minoritized and otherwise challenged youth, such as those from socioeconomically disadvantaged groups, including youth in low- and middle-income countries (LMICs), where they face lower levels of access to resources, including mental health treatment. The present study describes engagement challenges that arose in an uncontrolled pre-post evaluation of a school-based, modular, multi-problem, stepped-care intervention delivered in urban Indian communities. Specifically, the study aimed to (1) characterize barriers and facilitators of youth treatment engagement; and (2) evaluate treatment acceptability and fit of treatment from the youth perspective. Youth participants completed semi-structured interviews, which were transcribed and coded using thematic analysis. Participants described numerous facilitators to engagement (e.g., positive therapeutic relationship) and reported high overall satisfaction with the intervention, while also identifying barriers to engagement (e.g., concerns about confidentiality) and offering suggestions to increase fit and acceptability (e.g., more visually appealing treatment materials). Findings highlight ways in which engagement can be enhanced and implementation supports improved to maximize treatment effectiveness among minoritized and disadvantaged youth in LMICs. Supplementary Information: The online version contains supplementary material available at 10.1007/s44202-024-00154-1.

Scaling up the task-sharing of psychological therapies: A formative study of the PEERS smartphone application for supervision and quality assurance in rural India.

Measurement-based peer supervision is one strategy to assure the quality of psychological treatments delivered by non-mental health specialist providers. In this formative study, we aimed to 1) describe the development and 2) examine the acceptability and feasibility of PEERS (Promoting Effective mental healthcare through peER Supervision)-a novel smartphone app that aims to facilitate registering and scheduling patients, collecting patient outcomes, rating therapy quality and assessing supervision quality-among frontline treatment providers delivering behavioral activation treatment for depression. The PEERS prototype was developed and tested in 2021, and version 1 was launched in 2022. To date, 215 treatment providers (98% female; ages 30-35) in Madhya Pradesh and Goa, India, have been trained to use PEERS and 65.58% have completed the supplemental, virtual PEERS course. Focus group discussions with 98 providers were examined according to four themes-training and education, app effectiveness, user experience and adherence and data privacy and safety. This yielded commonly endorsed facilitators (e.g., collaborative learning through group supervision, the convenience of consolidated patient data), barriers (e.g., difficulties with new technologies) and suggested changes (e.g., esthetic improvements, suicide risk assessment prompt). The PEERS app has the potential to scale measurement-based peer supervision to facilitate quality assurance of psychological treatments across contexts.

Advancing disability-inclusive climate research and action, climate justice, and climate-resilient development.

Globally, more than 1 billion people with disabilities are disproportionately and differentially at risk from the climate crisis. Yet there is a notable absence of climate policy, programming, and research at the intersection of disability and climate change. Advancing climate justice urgently requires accelerated disability-inclusive climate action. We present pivotal research recommendations and guidance to advance disability-inclusive climate research and responses identified by a global interdisciplinary group of experts in disability, climate change, sustainable development, public health, environmental justice, humanitarianism, gender, Indigeneity, mental health, law, and planetary health. Climate-resilient development is a framework for enabling universal sustainable development. Advancing inclusive climate-resilient development requires a disability human rights approach that deepens understanding of how societal choices and actions-characterised by meaningful participation, inclusion, knowledge diversity in decision making, and co-design by and with people with disabilities and their representative organisations-build collective climate resilience benefiting disability communities and society at large while advancing planetary health.

The rising trends of self-harm in Brazil: an ecological analysis of notifications, hospitalisations, and mortality between 2011 and 2022.

Background: Self-harm is considered an important public health issue and is comprised by a wide range of definitions and behaviours. It is estimated that suicide affects more than 700,000 individuals every year, although, globally, there is a lack of evidence on other self-harm behaviour, such as attempted suicide. The objective of this study is to report and examine temporal trends of notifications, hospitalisations related to self-harm and suicide rates in Brazil between 2011 and 2022, as well as investigating differences in sociodemographic characteristics, methods, and region. Methods: This ecological study used secondary, Brazilian Health Information System data between 2011 and 2022. Self-harm notifications were collected from the Notifiable Diseases Information System (SINAN); self-harm hospitalisations from the Hospital Information System (SIH), and suicide data from the Mortality Information System (SIM). We calculated self-harm notifications, hospitalisations, and suicide rates by sex, age, race, region, and overall. We assessed time-related trends using Joinpoint regression analyses. Findings: From 2011 to 2022, 720,480 self-harm notifications, 104,458 self-harm hospitalisations, and 147,698 suicides were recorded in Brazil. In this period, self-harm notifications (AAPC: 21.13 (CI: 17.50, 25.33)) and suicide (AAPC: 3.70 (CI: 3.05, 4.38)) have increased in the country. Male adults (25-59 years old) and the elderly (>60 years old) continue to be the groups most affected by suicide, with respective rates of 9.59 and 8.60/100,000 in 2022. However, the largest percentage increases have been seen in young people (AAPC: 6.14 (CI: 4.57, 7.88)). The Indigenous population had the highest self-harm notification (103.72, 10,000) and suicide (16.58/100,000) rates, but the lowest hospitalisation rates (1.14/100,000) in 2022), compared to the overall population (70.06, 7.27, and 4.69/100,000, respectively, in 2022). Interpretation: The observed trend of increased self-harm notifications and suicide rates suggests the need for a greater allocation of resources to strategies to prevent self-harm and suicide. The Indigenous population seems to be the group with less access to healthcare. Funding: Research reported in this publication was supported by the National Institute of Mental Health of the National Institutes of Health under award number R01MH128911-01. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Designing an App to Support Measurement-Based Peer Supervision of Frontline Health Workers Delivering Brief Psychosocial Interventions in Texas: Multimethod Study.

BACKGROUND: The unmet need for mental health care affects millions of Americans. A growing body of evidence in implementation science supports the effectiveness of task sharing in the delivery of brief psychosocial interventions. The digitization of training and processes supporting supervision can rapidly scale up task-shared interventions and enable frontline health workers (FLWs) to learn, master, and deliver interventions with quality and support. OBJECTIVE: We aimed to assess the perceived feasibility and acceptability of a novel mobile and web app designed and adapted to support the supervision, training, and quality assurance of FLWs delivering brief psychosocial interventions. METHODS: We followed human-centered design principles to adapt a prototype app for FLWs delivering brief psychosocial interventions for depression, drawing from an app previously designed for use in rural India. Using a multimethod approach, we conducted focus group sessions comprising usability testing and group interviews with FLWs recruited from a large health system in Texas to assess the feasibility and acceptability of the app. The positive System Usability Scale was used to determine the app's overall usability. We also calculated the participants' likelihood of recommending the app to others using ratings of 0 to 10 from least to most likely (net promoter score). Focus group transcripts were coded and analyzed thematically, and recommendations were summarized across 4 key domains. RESULTS: A total of 18 FLWs varying in role and experience with client care participated in the study. Participants found the app to be usable, with an average System Usability Scale score of 72.5 (SD 18.1), consistent with the industry benchmark of 68. Participants' likelihood of recommending the app ranged from 5 to 10, yielding a net promoter score of 0, indicating medium acceptability. Overall impressions of the app from participants were positive. Most participants (15/18, 83%) found the app easy to access and navigate. The app was considered important to support FLWs in delivering high-quality mental health care services. Participants felt that the app could provide more structure to FLW training and supervision processes through the systematic collection and facilitation of performance-related feedback. Key concerns included privacy-related and time constraints regarding implementing a separate peer supervision mechanism that may add to FLWs' workloads. CONCLUSIONS: We designed, built, and tested a usable, functional mobile and web app prototype that supports FLW-delivered psychosocial interventions in the United States through a structured supervision mechanism and systematic collection and review of performance measures. The app has the potential to scale the work of FLWs tasked with delivering these interventions to the hardest-to-reach communities they serve. The results of this project will inform future work to evaluate the app's use and efficacy in real-world settings to support task-shared mental health programs across the United States.

Locked down-locked in: experiences of families of young children with autism spectrum disorders in Delhi, India.

Introduction: The onset of the COVID-19 pandemic and subsequent lockdowns in March 2020 disrupted the lives of families across India. The lockdown related restrictions brought forth a multitude of challenges including loss of employment, social isolation, school closures and financial burdens. Specifically, it also resulted in the restriction of health-care services for children with neurodevelopmental disabilities. Methods: This qualitative study was conducted as a part of a larger trial in India to understand the experiences of families of young children with autism during the pandemic. In-depth interviews were carried out with 14 caregivers residing in New Delhi, India. Results: Our findings identified pandemic and lockdown's universal impacts on family life and financial stability stemming from job loss, business closure, and salary deductions, affecting quality of life of families. Furthermore, COVID-19 pandemic's impact on autistic children was evident through limited access to essential services and financial challenges related service interruptions even after resumption of services. The lockdown's novelty also affected children's behavior, with both challenging behavioral changes and positive impacts. Primary caregivers, predominantly mothers, assumed additional responsibilities in household tasks, schooling, and therapy administration. While some these experiences were universally experienced, a few of these improved outcomes for autistic children. Despite challenges, parents expressed gratitude for their family's safety and well-being during the difficult time. Discussions: These findings inform service provision for vulnerable families and offer implications for designing interventions such as credit schemes for families, guidance and resources for establishing and maintaining routines of children with autism, adopting flexible and adaptable approaches to service delivery, and special provisions for children with autism to be able to maintain their routines outside of home. Furthermore, the study highlights the need for comprehensive support, including educational resources and stress management counselling to empower parents in supporting essential care and routines for their children during such unprecedented times.

Psychotherapies for Generalized Anxiety Disorder in Adults: A Systematic Review and Network Meta-Analysis of Randomized Clinical Trials.

Importance: Generalized anxiety disorder (GAD) is one of the most common mental disorders in adults. Psychotherapies are among the most recommended treatments for GAD, but which should be considered as first-line treatment needs to be clarified. Objective: To use a network meta-analysis to examine the short- and long-term associations of different psychotherapies with outcomes of effectiveness and acceptability in adults with GAD. Data Sources: MEDLINE, Embase, PsycINFO, and the Cochrane Register of Controlled Trials were searched from database inception to January 1, 2023, to identify randomized clinical trials (RCTs) of psychotherapies for adults with GAD. Study Selection: RCTs comparing any type of psychotherapy against another or with a control condition for the treatment of adults (≥18 years, both sexes) with a primary diagnosis of GAD were eligible for inclusion. Data Extraction and Synthesis: This study followed Cochrane standards for extracting data and assessing data quality and used the PRISMA guideline for reporting. Risk of bias of individual studies was assessed using the second version of the Cochrane risk of bias tool, and the Confidence in Network Meta-Analysis was used to rate the certainty of evidence for meta-analytical results. Main Outcomes and Measures: Eight psychotherapies were compared against one another and with 2 control conditions. Primary outcomes were severity of GAD symptoms and acceptability of the psychotherapies. Random-effects model pairwise and network meta-analyses were conducted. For effectiveness, standardized mean differences (SMDs) were pooled, and for acceptability, relative risks with 95% CIs were calculated. Results: Data from 65 RCTs were included. Effect size estimates on data from 5048 participants (mean [SD], 70.9% [11.9%] women; mean [SD] age, 42.2 [12.5] years) suggested that third-wave cognitive behavior therapies (CBTs) (SMD, -0.76 [95% CI, -1.15 to -0.36]; certainty, moderate), CBT (SMD, -0.74 [95% CI, -1.09 to -0.38]; certainty, moderate), and relaxation therapy (SMD, -0.59 [95% CI, -1.07 to -0.11]; certainty, low) were associated with reduced GAD symptoms vs treatment as usual. Relative risks for all-cause discontinuation (indication of acceptability) signaled no differences compared with treatment as usual for all psychotherapies (eg, relative risk, 1.04 [95% CI, 0.64-1.67] for CBT vs treatment as usual). When excluding studies at high risk of bias, relaxation therapy lost its superiority over treatment as usual (SMD, -0.47; 95% CI, -1.18 to 0.23). When considering anxiety severity at 3 to 12 months after completion of the intervention, only CBT remained significantly associated with greater effectiveness than treatment as usual (SMD, -0.60; 95% CI, -0.99 to -0.21). Conclusions and Relevance: Given the evidence in this systematic review and network meta-analysis for its associations with both acute and long-term effectiveness, CBT may represent the first-line therapy of GAD. Third-wave CBTs and relaxation therapy were associated with short-term effectiveness and may also be offered.