Prevalence and predisposing factors of suicidal ideation among the University students in Bangladesh: a single-site survey

Recently, suicide among Bangladeshi university students has become a serious problem. However, to date, there have been no studies assessing suicidal behaviors among Bangladeshi students. Therefore, the present study investigated suicidal ideation (SI) and its risk factors among this population. A classroom-based convenience sampling method was utilized to survey 665 students of a university in Bangladesh (67.5% males; aged 21.16 years: SD ± 1.6). In addition to socio-demographic questions, the survey also included the Smartphone Application-Based Addiction Scale, Bergen Facebook Addiction Scale, and Depression Anxiety Stress Scale–21. Results showed that the prevalence of suicidal ideation was 2.3% in the past 24 h, 4.8% in the past 15 days, 6.9% in the past month, 14.7% in the past year, and 61.1% in the lifetime. The unadjusted regression model showed that being divorced (or separated) from a partner (OR = 4.486, 95% CI = 1.972–10.207, p < 0.0001), Facebook addiction (OR = 1.550, 95% CI = 1.006–2.388, p = 0.047), depression (OR = 1.657, 95% CI = 1.677–4.211, p < 0.0001), anxiety (OR = 2.649, 95% CI = 1.624–4.320, p < 0.0001), and stress (OR = 2.626, 95% CI = 1.673– 4.122, p < 0.0001) were the risk factors of past-year SI. Compared with global prevalence rates, the present study reported higher levels of SI prevalence. Therefore, supportive suicide prevention programs are needed to tackle SI and alongside comorbid psychopathology

Advancing algorithmic bias management capabilities in AI-driven marketing analytics research

Algorithms in the age of artificial intelligence (AI) constantly transform customer behaviour, marketing programs, and marketing strategies in industrial markets. However, algorithms often fail to perform as expected due to various data, model, and market biases. Motivated by this challenge, this study presents a framework of algorithmic bias management capabilities for industrial markets that contribute to customer equity in terms of value, brand and relationship equity. Drawing on the dynamic capability theory, this study fills this gap by conducting a literature review, thematic analysis, and two rounds of surveys (n=200 analytics professionals and n=200 business customers) in the financial service industry in Australia. The findings show that algorithmic bias management capability consists of three primary dimensions (data, model, and deployment capabilities) and nine subdimensions. These findings have important implications for scholars and managers interested in developing algorithmic bias management capabilities to influence customer equity in industrial markets

Pathways to antibiotics in Bangladesh: a qualitative study investigating how and when households access medicine including antibiotics for humans or animals when they are ill

Background To understand how to reduce antibiotic use, greater knowledge is needed about the complexities of access in countries with loose regulation or enforcement. This study aimed to explore how households in Bangladesh were accessing antimicrobials for themselves and their domestic animals. Methods In-depth interviews were conducted with 48 households in one urban and one rural area. Households were purposively sampled from two lower income strata, prioritising those with under 5-year olds, older adults, household animals and minority groups. Households where someone was currently ill with a suspected infection (13 households) were invited for a follow-up interview. Framework analysis was used to explore access to healthcare and medicines. Findings People accessed medicines for themselves through five pathways: drugs shops, private clinics, government/charitable hospitals, community/family planning clinics, and specialised/private hospitals. Drug shops provided direct access to medicines for common, less serious and acute illnesses. For persistent or serious illnesses, the healthcare pathway may include contacts with several of these settings, but often relied on medicines provided by drug shops. In the 13 households with an unwell family member, most received at least one course of antibiotics for this illness. Multiple and incomplete dosing were common even when prescribed by a qualified doctor. Antibiotics were identified by their high cost compared to other medicines. Cost was a reported barrier to purchasing full courses of antibiotics. Few households in the urban area kept household animals. In this rural area, government animal health workers provided most care for large household animals (cows), but drug shops were also important. Conclusions In Bangladesh, unregulated drug shops provide an essential route to medicines including those prescribed in the formal sector. Wherever licensed suppliers are scarce and expensive, regulations which prohibit this supply risk removing access entirely for many people

Digital Bangladesh: Using Formative Research to Develop Phone Messages for the Prevention and Control of Diabetes in Rural Bangladesh

mHealth, Behaviour Change, Bangladesh, Diabetes Mellitus, Formative researc

Visual Participatory Analysis: A qualitative method for engaging participants in interpreting the results of randomized controlled trials of health interventions

This article contributes to the field of mixed methods by introducing a new method for eliciting participant perspectives of the quantitative results of randomized controlled trials. Participants are rarely asked to interpret trial results, obscuring potentially valuable information about why a trial either succeeds or fails. We introduce a unique method called visual participatory analysis and discuss the insights gained in its use as part of a trial to prevent risk and reduce the prevalence of diabetes in Bangladesh. Findings highlight benefits such as elucidating contextualized explanations for null results and identifying causal mechanisms, as well as challenges around communicating randomized controlled trial methodologies to lay audiences. We conclude that visual participatory analysis is a valuable method to use after a trial

Preclinical HbA1c level studies of Brihat Khadir Batika and Chandraprabha Batika after chronic administration to male Sprague-Dawley rats

Background: Brihat Khadir Batika (BKD) and Chandraprabha Batika (CPB) are Ayurvedic preparations used as traditional medicines for different clinical indications in the rural population. BKD is used in diseases of throat and CPB is used in glandular enlargement. In this study we evaluate the influence of these preparations on HbA1c (%) level.Methods: To find out the average plasma glucose concentration over prolonged period of time, Ayurvedic medicinal preparations BKD and CPB were administered chronically to the male Sprague-Dawley rats at a dose of 400 mg/kg. After 28 days of chronic administration of BKD and CPB the following changes were noted. In this experiment Glycated Hemoglobin A1C level was determined.Results: The results of the study of in vitro quantitative determination of rat Glycated hemoglobin A1c concentrations in serum studies are thus: BKD caused a statistically insignificant (p=0.066) increase in the HbA1c level of the male rat (16.87% increase). CPB demonstrated a statistically insignificant (p=0.079) (17.47%) increase in the HbA1C level of the blood of the male rat.Conclusions: Both preparation BKD and CPB found in increasing HbA1c level of the blood of the male rat