Mental health problems are proliferating, and access to mental health care is difficult due to barriers imposed by the COVID-19 pandemic in low-income countries such as Bangladesh. University stude...

Background: Digital health is efficacious for the management and prevention of mental health (MH) problems. It is particularly helpful for the young adult population, who appreciate the autonomy digital health provides, and in low-income countries, where the prevalence of MH problems is high but the supply of professionals trained in MH is low. Objective: The objectives of this study are 2-fold: to determine whether university students in Bangladesh find using digital health for MH promotion acceptable and to examine motivational factors for using digital health for MH. Methods: This study used a cross-sectional survey to examine the likelihood that university students in Bangladesh (n=311) would use different forms of digital health platforms for MH promotion and assessed drivers of intention to use and actual use of digital health generally and digital health for MH through the lens of the Technology Acceptance Model. The results provided evidence that the university student population in Bangladesh is likely to use digital health to promote their MH. Results: Social influence (adjusted odds ratio [aOR] 1.68, 95% CI 1.40-2.01; P<.001), ease of use (aOR 1.85, 95% CI 1.35-2.53; P<.001), and perceived usefulness (aOR 4.12, 95% CI 1.79-9.51; P=.001) of digital health were found to be significant drivers of the intention to use general digital health, and having an intention to use digital health (aOR 2.10, 95% CI 1.17-3.78; P=.01) had the greatest influence on actual use of digital health. Social influence (aOR 1.71, 95% CI 1.43-2.04; P<.001), perceived usefulness (aOR 8.92, 95% CI 4.18-19.04; P<.001), and use of general digital health (aOR 2.16, 95% CI 1.18-3.97; P=.01) were associated with higher intention to use digital health for MH. The use of general digital health (aOR 4.19, 95% CI 2.37-7.41; P<.001) was associated with the actual use of digital health for MH, as were greater non–stigma-related barriers to using traditional clinical MH services (aOR 2.05, 95% CI 1.10-3.80; P=.02). Conclusions: Overall, we see that the use of digital health for MH is acceptable in this population and can be helpful for students who perceive barriers to receiving traditional care. We also gain insight into how to promote the intention to use digital health, which in turn promotes the actual use of digital health.

Background: University and college students are vulnerable to developing depressive symptoms. People in low-income countries are disproportionately impacted by mental health problems, yet few studies examine routes to accessing clinical services. Examining motivation and barriers toward seeking clinical mental health services in university students in Bangladesh is important.Method: Using a cross-sectional survey (n = 350), we assess the relationship between the constructs of autonomy, relatedness, and competency toward using clinical mental health practices (i.e. using professional resources, taking medication) with (1) positive views, (2) perceived need, and (3) use of clinical mental health services among Bangladeshi university students.Results: Results showed that the perceived need for mental health support was the predictor of the largest magnitude (aOR = 4.99, p = 0.005) for using clinical services. Having a positive view of clinical services was predictive of clinical service use (aOR = 2.87, p = 0.033); however, that association became insignificant (p = 0.054) when adjusting for the perceived need for mental health care. Of the SDT constructs, social influences were predictive of perceiving a need for mental health support, and mental health knowledge was predictive (aOR = 1.10, p = 0.001) of having a positive view of clinical mental health care.Conclusion: Our findings show that knowledge of mental health is associated with positive views of mental health services, and that higher levels of stress and the presence of people with mental health problems are associated with the perception of a need for mental health care, which is ultimately responsible for using the services.

Background: The mental health burden is high and rising among Bangladeshi university students. Understanding barriers to mental healthcare and how barriers impact mental health outcomes may inform the development of targeted interventions to decrease barriers and improve access to care. Aims: This study identifies barriers to mental healthcare and their association with mental health outcomes in a Bangladeshi university student sample. Methods: We conducted a cross-sectional survey (n = 350) on stigma-related, attitudinal, and instrumental barriers to accessing mental healthcare among Bangladeshi university students. We examined the association between stigma and non-stigma (i.e., attitudinal and instrumental) barriers with four mental health outcomes: suicidal ideation, depression, high perceived stress, and wellness. Results: Attitudinal barriers were the most reported barriers. Stigma-related barriers were significant for individuals who had experienced suicidal ideation (aOR = 2.97, p = 0.001), not for individuals with depression. Non-stigma-related barriers were significant for individuals who had experienced depression (aOR = 2.80, p = 0.011). Conclusions: The current work advances our understanding of how to improve access to mental healthcare among university students in Bangladesh. Stigma-related barriers were particularly salient for individuals who experienced suicidal ideation. Further study is needed on how stigma may impact access to care distinctly for different mental health problems among Bangladeshi university students.

The resettlement of Afghan refugees in Oklahoma City, OK, provides a critical context for examining the mental health challenges faced by this population due to post-migration stressors. This study utilized online surveys to recently resettled Afghan refugees in Oklahoma City, with support provided by bilingual research assistants to accommodate low literacy rates. Surveys, initially in English, were professionally translated into Dari and Pashto and validated through back-translation. Participants (N = 348) were majority of Pashtun ethnicity. High rates of mental health issues were evident, with 62.1 % of participants screening positive for depression and 20.1 % for probable GAD. Logistic regression analysis revealed that lower pre-migration socioeconomic status (SES) and high post-migration stressors such as discrimination and loss of homeland were significantly associated with increased mental health problems. Stress related to the worry for and loss of their homeland was a substantial predictor of high distress (AOR = 2.71, p < 0.001), anxiety (AOR = 1.99, p = 0.001) and depression (AOR = 2.65, p<.001). Experiences of discrimination post-resettlement was also associated with anxiety (AOR 4.92, p < 0.001). The findings highlight the profound impact of post-migration stressors on the mental health of Afghan refugees. This study underscores the need for targeted interventions to address the specific challenges faced by refugees, such as language barriers, employment, legal support, and anti-discrimination measures, to facilitate better integration and improve mental health outcomes. Enhanced community integration programs and comprehensive support services are essential to mitigate the mental health challenges faced by Afghan refugees, suggesting a broader application for such approaches in similar resettlement contexts globally.

Background: While counseling and pharmacological interventions are known to facilitate smoking cessation, poor adherence can impact their effectiveness. Therefore, this study aimed to identify personal and clinical factors that influenced adherence to smoking cessation treatment among socioeconomically disadvantaged adult Oklahomans enrolled in a publicly available tobacco treatment program and observational research study. Methods: Adult participants (N = 442) were enrolled in a community-based tobacco treatment program. Logistic regression models identified sociodemographic, mental health, and substance use characteristics associated with treatment adherence. Adherence was measured by counseling session attendance and weeks of moderate/high medication adherence assessed via the Medication Adherence Questionnaire. Analyses were conducted using SAS 9.4 with p < 0.05. Results: Participants (mean age of 53, 55 % female, and 42.3 % racially minoritized), smoked 16 (SD = 10) cigarettes/day for 30 years on average (SD = 15), and 44.8 % reported depression (Center for Epidemiological Studies Depression Scale [CESD] score >= 10). Self-efficacy, White race, increasing age, and years of smoking were positively associated with counseling adherence, while menthol use, being uninsured, and depression predicted lower counseling adherence. Medication adherence was lower among individuals who used menthol cigarettes, lived with someone who smoked, and had higher levels of expired carbon monoxide. Conclusions: This study highlights key factors that influenced adherence to smoking cessation treatment in a socioeconomically disadvantaged population. Tailored interventions are needed to address social, behavioral, and environmental factors, such as living situations and mental health, in smoking cessation interventions to enhance treatment outcomes for underserved populations. Future tobacco cessation programs should consider these factors to improve adherence and, ultimately, success rates.