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Background: The LACE index was designed to predict early death or unplanned readmission after discharge from hospital to the community. However, implementing the LACE tool in real time in a teaching hospital required practical unavoidable modifications. Objective: The purpose of this study was to validate the implementation of a modified LACE index (LACE-rt) and test its ability to predict readmission risk using data in a hospital setting. Methods: Data from the Canadian Institute for Health Information's Discharge Abstract Database (DAD), the National Ambulatory Care Reporting System (NACRS), and the hospital electronic medical record for one large community hospital in Toronto, Canada, were used in this study. A total of 3855 admissions from September 2013 to July 2014 were analyzed (N=3855) using descriptive statistics, regression analysis, and receiver operating characteristic analysis. Prospectively collected data from DAD and NACRS were linked to inpatient data. Results: The LACE-rt index was a fair test to predict readmission risk (C statistic=.632). A LACE-rt score of 10 is a good threshold to differentiate between patients with low and high readmission risk; the high-risk patients are 2.648 times more likely to be readmitted than those at low risk. The introduction of LACE-rt had no significant impact on readmission reduction. Conclusions: The LACE-rt is a fair tool for identifying those at risk of readmission. A collaborative cross-sectoral effort that includes those in charge of providing community-based care is needed to reduce readmission rates. An eHealth solution could play a major role in streamlining this collaboration. [ABSTRACT FROM AUTHOR]

This paper introduces the TRANSFORM project, which aims to improve access to mental health services for people with serious and enduring mental disorders (SMDs - psychotic disorders and severe mood disorders, often with co-occurring substance misuse) living in urban slums in Dhaka (Bangladesh) and Ibadan (Nigeria). People living in slum communities have high rates of SMDs, limited access to mental health services and conditions of chronic hardship. Help is commonly sought from faith-based and traditional healers, but people with SMDs require medical treatment, support and follow-up. This multicentre, international mental health mixed-methods research project will (a) conduct community-based ethnographic assessment using participatory methods to explore community understandings of SMDs and help-seeking; (b) explore the role of traditional and faith-based healing for SMDs, from the perspectives of people with SMDs, caregivers, community members, healers, community health workers (CHWs) and health professionals; (c) co-design, with CHWs and healers, training packages for screening, early detection and referral to mental health services; and (d) implement and evaluate the training packages for clinical and cost-effectiveness in improving access to treatment for those with SMDs. TRANSFORM will develop and test a sustainable intervention that can be integrated into existing clinical care and inform priorities for healthcare providers and policy makers.

Community-wide lockdowns in response to COVID-19 influenced many families, but the developmental cascade for children with autism spectrum disorder (ASD) may be especially detrimental. Our objective was to evaluate behavioral patterns of risk and resilience for children with ASD across parent-report assessments before (from November 2019 to February 2020), during (March 2020 to May 2020), and after (June 2020 to November 2020) an extended COVID-19 lockdown. In 2020, our study Mobile-based care for children with ASD using remote experience sampling method (mCARE) was inactive data collection before COVID-19 emerged as a health crisis in Bangladesh. Here we deployed "Cohort Studies", where we had in total 300 children with ASD (150 test group and 150 control group) to collect behavioral data. Our data collection continued through an extended COVID-19 lockdown and captured parent reports of 30 different behavioral parameters (e.g., self-injurious behaviors, aggression, sleep problems, daily living skills, and communication) across 150 children with ASD (test group). Based on the children's condition, 4-6 behavioral parameters were assessed through the study. A total of 56,290 behavioral data points was collected (an average of 152.19 per week) from parent cell phones using the mCARE platform. Children and their families were exposed to an extended COVID-19 lockdown. The main outcomes used for this study were generated from parent reports child behaviors within the mCARE platform. Behaviors included of child social skills, communication use, problematic behaviors, sensory sensitivities, daily living, and play. COVID-19 lockdowns for children with autism and their families are not universally negative but supports in the areas of "Problematic Behavior" could serve to mitigate future risk., (© 2021. The Author(s).)

Background: Subjective wellbeing in terms of objective outcome can be useful to determine the level of progress in clinical practice as well as research studies in Bangladesh. Besides, cultural understanding of well-being for Bangladeshi population is also equally important to report. A valid Bangla version of the five-item WHO Well-being Index can be a suitable measure to achieve the purposes. Therefore, the present study aimed at validating the WHO-5 Well-being Index for general population in Bangladesh., Methods: After following the standard procedures for translation, back-translation, and committee translation, the initial Bangla version of the scale was developed and pretested. Based on the feedback during pretesting, a slight modification was made and the final version was developed. This final version was administered to 269 participants of different socioeconomic backgrounds to find out the reliability and validity of the scale from March 2019 to May 2019. The data analysis was conducted using SPSS 24., Results: The scale demonstrated acceptable internal consistency ( α = 0.754) and test-retest reliability ( r = 0.713), divergent validity ( r = -0.443, p < 0.01 with the Bangla version of Perceived Stress Scale-10) and convergent validity ( r = 0.542, p < 0.01 with the Bangla version of Warwick-Edinburgh Mental Well-Being Scale). The data also yielded one-factor structure for the scale in exploratory factor analysis explaining 38.68% of total variance. The factor-structure was further supported in the confirmatory factor analysis (χ 2 = 295.852, χ 2 /df = 2.017, RMSEA = 0.062, CFI = 0.986, TLI = 0.964, and SRMR = 0.0255)., Conclusion: The findings suggested the Bangla version of the WHO-5 Well-being Index is a psychometrically valid and reliable tool for general adult population in Bangladeshi when it comes to measuring subjective well-being both in clinical practice and research studies., Competing Interests: None., (© The Author(s) 2021.)

Background: Care for children with autism spectrum disorder (ASD) can be challenging for families and medical care systems. This is especially true in low- and- middle-income countries such as Bangladesh. To improve family-practitioner communication and developmental monitoring of children with ASD, mCARE (Mobile-Based Care for Children with Autism Spectrum Disorder Using Remote Experience Sampling Method) was developed. Within this study, mCARE was used to track child milestone achievement and family sociodemographic assets to inform mCARE feasibility/scalability and family asset-informed practitioner recommendations., Objective: The objectives of this paper are threefold. First, it documents how mCARE can be used to monitor child milestone achievement. Second, it demonstrates how advanced machine learning models can inform our understanding of milestone achievement in children with ASD. Third, it describes family/child sociodemographic factors that are associated with earlier milestone achievement in children with ASD (across 5 machine learning models)., Methods: Using mCARE-collected data, this study assessed milestone achievement in 300 children with ASD from Bangladesh. In this study, we used 4 supervised machine learning algorithms (decision tree, logistic regression, K-nearest neighbor [KNN], and artificial neural network [ANN]) and 1 unsupervised machine learning algorithm (K-means clustering) to build models of milestone achievement based on family/child sociodemographic details. For analyses, the sample was randomly divided in half to train the machine learning models and then their accuracy was estimated based on the other half of the sample. Each model was specified for the following milestones: Brushes teeth, Asks to use the toilet, Urinates in the toilet or potty, and Buttons large buttons., Results: This study aimed to find a suitable machine learning algorithm for milestone prediction/achievement for children with ASD using family/child sociodemographic characteristics. For Brushes teeth, the 3 supervised machine learning models met or exceeded an accuracy of 95% with logistic regression, KNN, and ANN as the most robust sociodemographic predictors. For Asks to use toilet, 84.00% accuracy was achieved with the KNN and ANN models. For these models, the family sociodemographic predictors of "family expenditure" and "parents' age" accounted for most of the model variability. The last 2 parameters, Urinates in toilet or potty and Buttons large buttons, had an accuracy of 91.00% and 76.00%, respectively, in ANN. Overall, the ANN had a higher accuracy (above ~80% on average) among the other algorithms for all the parameters. Across the models and milestones, "family expenditure," "family size/type," "living places," and "parent's age and occupation" were the most influential family/child sociodemographic factors., Conclusions: mCARE was successfully deployed in a low- and middle-income country (ie, Bangladesh), providing parents and care practitioners a mechanism to share detailed information on child milestones achievement. Using advanced modeling techniques this study demonstrates how family/child sociodemographic elements can inform child milestone achievement. Specifically, families with fewer sociodemographic resources reported later milestone attainment. Developmental science theories highlight how family/systems can directly influence child development and this study provides a clear link between family resources and child developmental progress. Clinical implications for this work could include supporting the larger family system to improve child milestone achievement., (©Munirul M Haque, Masud Rabbani, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, Amy Schwichtenberg, Naveen Bansal, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 08.06.2021.)

Most of the recent studies indicated the prevalence of Post-Traumatic Stress Symptoms (PTSS) are increasing after the COVID pandemic around the world. Bo et al. reported PTSS prevalence of 96.2% among the COVID-19-infected people. The sociocultural and individual vulnerability and protective factors may influence onset and maintenance of the symptoms. However, there is significant lack in understanding the risk factors and preventive factors that influence the maintenance of Post-Traumatic Stress symptoms that defines Post-Traumatic Stress Disorder (PTSD). The digital technology gives us the unique opportunity to assess this risk, to monitor and track this evolution longitudinally. In this research project we aimed to design and develop a smartphone application for longitudinal data collection enabling to (1) predict and follow the evolution of PTSS toward PTSD, (2) assess the relative efficacy of several methods to prevent the evolution of PTSS right after exposure to trauma (1-24 h), (3) educate people about psychological effects that can occur during and after trauma, normalize acute distress and refer to professional help if a disorder is constituted. We hope that this research project will help to understand how to maximize the self help support during the acute phase (golden hours) after trauma to prevent the transition from PTSS to PTSD. A video abstract can be found on https://www.youtube.com/watch?v=RZJehj3J8go&feature=emb&#95;title., (© 2020 Elsevier Masson SAS. All rights reserved.)

In low- and middle-income countries, especially in Bangladesh, Autism Spectrum Disorder (ASD) may be considered an anathema, and social-cultural-financial constraints mean that there are few facilities available for treatment for ASD children. The revolution in the use of the mobile phone (~80%) by the majority of people in Bangladesh in recent years has created an opportunity to improve the overall scenario in the treatment or remote monitoring process for children with ASD. In this grant project, we planned and developed a mobile phone-based system to remotely monitor children with ASD and help their treatment process both at the caregiver and care practitioner ends. In developing mCARE, we utilized a Remote Experience Sampling Method to design, build, deploy, and study the impact of mobile based monitoring and treatment of children with ASD in Bangladesh. We developed a mobile application using the Experience Sampling Method (ESM). A caregiver routinely reported the behavioral and milestone parameters of their children with ASD. The care practitioners monitored the longitudinal data that helped them in decision-making in a particular patient's treatment process. The Value Sensitive Design (VSD) was used to make this mobile application more user friendly with consideration of the local economic, social, and cultural values in Bangladesh., Competing Interests: CONFLICT OF INTEREST The authors declare that they have no conflicts of interest associated with this project.

Background: The prevalence of Autism Spectrum Disorder (ASD) appears to be increasing globally due to the complex interaction of multiple biopsychosocial and environmental factors. Mobile phones, tablets, and other electronic gadgets have transformed our means of communication, and have also changed both healthcare and how we learn. These technological enhancements may have a positive impact on the lives of children, but there is currently a global scarcity of information on how information technology influences the education of children with ASD., Objective: This study was conducted in Rwandan schools and communities, and aimed to understand the perceptions of students with ASD, their parents, and their teachers, on the use of Information and Communication Technology (ICT) in the education of those with ASD., Methods: This qualitative descriptive study was conducted from December 2017 to July 2018. Researchers conducted four focus group discussions (FGDs) with 54 participants from different backgrounds: teachers, parents, and students with ASD. Each of the FGDs took approximately two and a half hours. A predefined set of open-ended questions were selected to discover people's perceptions regarding assistive technologies used in ASD, their effectiveness, the scope of using them in their context, and upcoming challenges during implementation. The interviews were recorded, transcribed, and analyzed., Results: The findings of the study revealed seven key themes: (1) the use of ICT for the education of children with ASD; (2) existing augmentative facilities for learning; (3) current patterns of use of ICT in education; (4) preferred areas of learning for ASD students; (5) integration of ICT into educational programs; (6) areas of interest outside the classroom; and (7) future opportunities and challenges in Rwanda. We found most of the study participants assumed that appropriate technology and related innovations might solve the challenges faced by learners with ASD in classrooms. Moreover, they thought that children with ASD more so enjoyed watching television, playing digital games, and drawing objects using gadgets than interacting with people or playing with other children., Conclusions: The use of various low-cost technical devices can aid with teaching and the education of children with autism in Rwanda. However, this area requires further research to discover the impact ICT can have on the education of children with ASD, so this study may become a starting point for further research in the area., (©Theoneste Ntalindwa, Tanjir Rashid Soron, Mathias Nduwingoma, Evariste Karangwa, Rebecca White. Originally published in JMIR Pediatrics and Parenting (http://pediatrics.jmir.org), 27.09.2019.)

Social media has connected the world and transformed the concept of social interaction and traditional communication. However, the concern is rising as people started using the platform for sharing fake news, violent intentions and activities including suicide and homicide. In this paper, I report the case of a media worker in Bangladesh who committed suicide after sharing series of Facebook posts mentioning her intensions to commit suicide. Thousands of her Facebook friends and followers noticed the posts; few of them shared the posts and made critical comments. This case documented the use of Facebook to disclose the intention of committing suicide in Bangladesh. Though Facebook is gaining attention as a potential source to predict and provide timely intervention to prevent suicide, this case raised the question about the effective participation of Facebook users in such programs. We need to emphasis and focus on ensuring active participation of most of Facebook users in any social media based suicide prevention program. This report may inspire future researchers to find out more user friendly and participatory social media focused suicide prevention programs., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Depression is escalating among Bangla speaking people. About 300 million people speak in Bangla. However, a valid Bangla Depression rating scale is missing to assess their depression. Montgomery Asberg Depression Rating Scale (MADRS) is a clinician rated 10 item scale widely used for depression assessment. This study aimed to validate this scale in Bangla. The study was conducted from July 2013 to August 2015 at outpatient department of Psychiatry of Bangabandhu Sheikh Mujib Medical University (BSMMU), Bangladesh. Bangla MADRS scale development process started with the development of conceptional definition of each items of the original scale followed by forward, backward and committee translation. This translated Bangla MADRS was pretested and necessary correction was made for better understating and acceptance. Then its psychometric properties were assessed from consecutive randomly selected 111 depressed patients. The Bangla MADRS exhibited excellent internal consistency (Cronbach's Alpha=0.87), inter rater reliability and test retest reliability (Pearson coefficient r=0.77). To assess the concurrent validity the correlation between the findings of MADRS was evaluated with that of Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV) that revealed a significant correlation (r=0.73). Moreover, the Factor analysis showed 56% of the variance can be explained by apparent sadness and reported sadness. This Bangla MADRS can have a long and wide spread impact and implication in depression assessment, management and future research for Bangla speaking people., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Background Depression is the most common comorbid psychiatric disorder in people who die by suicide and 39% of global suicides occur in the World Health Organization (WHO) South-East Asia Region. The aim of this systematic review was to identify, for countries of this region, first the prevalence of depression among people who (i) die by, or (ii) attempt, suicide, and second, the proportion of people with depression who attempt or die by suicide. Methods PubMed, PsycINFO, EMBASE and Google Scholar were searched, together with five available national databases, for quantitative research papers published in English between 1956 and 4 September 2016 from the 11 countries of the WHO South-East Asia Region. Results The 19 articles that met the predefined eligibility criteria were from five countries: Bangladesh (1), India (12), Indonesia (1), Sri Lanka (3) and Thailand (2); no eligible papers from the remaining countries of the region were retrieved. Eight studies, from Bangladesh, India, Indonesia and Sri Lanka, reported the prevalence of depression among people who had died by suicide. The study settings varied, as did the proportion of depression recorded (6.9-51.7%), and the study sample sizes ranged from 27 to 372. Eight studies from India and one from Sri Lanka investigated depression among people who had attempted suicide. Using a range of screening and diagnostic tools, the reported prevalence of depression ranged between 22.0% and 59.7%. The study sample sizes ranged from 56 to 949. Only two articles were found, both from Thailand, that reported on suicide in people with depression. Conclusion Despite the high burden of mortality of suicide in the WHO South-East Asia Region, evidence on the relation between suicide and depression is scarce. There is a need to understand this phenomenon better, in order to inform suicide-prevention strategies in the region.

Incest is a neglected and hidden public health problem. This case is about a patient who was victim of sexual abuse, suffered from schizophrenia and abused his biological daughter. He was physically and sexually abused by seniors and classmates, developed paranoid delusion and auditory hallucination. During the course of the illness, he was hospitalized several times as a case of schizophrenia and sexual dysfunction was his main concern. The patient's illness followed a waxing and waning course. He took medication on on-and-off basis. He abused his biological daughter sexually at the later stage of the illness. Ultimately, the patient attempted suicide after an indecent sexual act with another relative and he was admitted to the hospital. He was treated with risperidone that was titrated to 10 mg per day. After continuing the medication for 2 years he regained a functioning life and remained stable with medication. This case shows the importance of exploring the sexual behavior of the patients and sharing the experience may help in the treatment of schizophrenia patients with incest., Competing Interests: The author declares that he has no conflict of interests regarding the publication of this paper.