Exploring the potential of delivering mental health care services using digital technologies in Bangladesh: A qualitative analysis

Enhancing smart healthcare with female students' stress and anxiety detection using machine learning

Machine learning (ML) is widely used to predict and detect stress and anxiety. Early detection of stress or anxiety is crucial for clinical pathways to enhance the supportive environment in society, particularly among female students. This study aims to assess and improve the accuracy of detecting stress and anxiety among female students using machine learning algorithms and functions. Three primary features are cigarette smoking, physical activity and grade point average (GPA). The multiple linear regression analysis conducted on 160 datasets obtained from the State-Trait Anxiety Inventory (STAI) at the University of Belgrade was selected. A heat map was utilised to identify the least engaging areas of the model along with most state anxiety factors. Additionally, R-squared (R2), mean absolute error (MAE), mean squared error (MSE) and root mean squared error (RMSE) were employed to assess the errors of the linear regression model for both pre-intervention and post-intervention, focusing on key features related to female students' anxiety. Using the K-Means algorithm, cluster analysis was executed on samples (N = 160) with three key features. The total average anxiety score was 44.39% (out of 80%) and is considered moderate. The heat map indicated a strong relationship between the variables. Overall, the post-intervention stage yielded acceptable results compared to the pre-intervention stage. Two clusters of anxiety among female students were identified, demonstrating that these features can accurately detect anxiety in female students. This research aims to analyse female students' stress and anxiety better using the linear regression algorithm. Additionally, ML functions demonstrated that smoking cigarettes, physical activity and GPA related to the stress and anxiety of female students have reduced errors during anxiety detection.

Digital Mental Health Interventions for Adolescents in Low- and Middle-Income Countries: Scoping Review

BACKGROUND

Digital mental health interventions (DMHIs) are increasingly recognized as potential solutions for adolescent mental health, particularly in low- and middle-income countries (LMICs). The United Nations' Sustainable Development Goals and universal health coverage are instrumental tools for achieving mental health for all. Within this context, understanding the design, evaluation, as well as the barriers and facilitators impacting adolescent engagement with mental health care through DMHIs is essential.

OBJECTIVE

This scoping review aims to provide insights into the current landscape of DMHIs for adolescents in LMICs.

METHODS

The Joanna Briggs Institute scoping review methodology was used, following the recommendations of the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). Our search strategy incorporated 3 key concepts: population "adolescents," concept "digital mental health interventions," and context "LMICs." We adapted this strategy for various databases, including ACM Digital Library, APA PsycINFO, Cochrane Library, Google Scholar (including gray literature), IEEE Xplore, ProQuest, PubMed (NLM), ScienceDirect, Scopus, and Web of Science. The articles were screened against a specific eligibility criterion from January 2019 to March 2024.

RESULTS

We analyzed 20 papers focusing on DMHIs for various mental health conditions among adolescents, such as depression, well-being, anxiety, stigma, self-harm, and suicide ideation. These interventions were delivered in diverse formats, including group delivery and self-guided interventions, with support from mental health professionals or involving lay professionals. The study designs and evaluation encompassed a range of methodologies, including randomized controlled trials, mixed methods studies, and feasibility studies.

CONCLUSIONS

While there have been notable advancements in DMHIs for adolescents in LMICs, the research base remains limited. Significant knowledge gaps persist regarding the long-term clinical benefits, the maturity and readiness of LMIC digital infrastructure, cultural appropriateness, and cost-effectiveness across the heterogeneous LMIC settings. Addressing these gaps necessitates large-scale, co-designed, and culturally sensitive DMHI trials. Future work should address this.

Efficacy of digital mental health interventions for PTSD symptoms: A systematic review of meta-analyses

BACKGROUND

The present systematic review aimed to synthesize the results of meta-analyses which examine the effects of digital mental health interventions (DMHIs) on post-traumatic stress disorder (PTSD) symptoms, and investigate whether intervention characteristics (i.e., technique, timeframe, and therapeutic guidance) and methodological characteristics including outcome measures and sample inclusion criteria (age, gender, socioeconomic status, country, comorbidity) moderate the efficacy of digital interventions.

METHODS

A systematic search of various sources (ECSCOhost PsycInfo, PubMed, Web of Science, Scopus, EBSCOhost ERIC, Google Scholar, ProQuest Dissertations & Theses) including five peer-reviewed journals was conducted to identify relevant meta-analyses up to December 2023, and 11 meta-analyses were included in the final review.

RESULTS

Overall, our review elucidates that DMHIs are appropriate for alleviating PTSD symptoms in adults, with more consistent evidence supporting the efficacy of cognitive behavioral therapy (CBT)-based, compared to non-CBT-based, interventions when compared to control conditions. However, we found inconclusive evidence that the efficacy of DMHIs varied according to intervention timeframe, therapeutic guidance, or sample characteristics.

LIMITATIONS

A relatively limited number of different populations was sampled across meta-analyses. Further, while our review focused on PTSD symptoms to indicate the efficacy of digital interventions, other indices of effectiveness were not examined.

CONCLUSION

Our findings indicate the clinical utility of DMHIs for managing PTSD symptoms particularly when CBT-based intervention techniques are employed.

Stakeholder perspectives of mental healthcare services in Bangladesh, its challenges and opportunities: a qualitative study

This study explores Bangladesh's mental health services from an individual- and system-level perspective and provides insights and recommendations for strengthening it's mental health system. We conducted 13 in-depth interviews and 2 focus group discussions. Thirty-one participants were recruited using a combination of purposive and snowball sampling methods. All interviews and group discussions were audio-recorded and transcribed, and key findings were translated from Bengali to English. Data were coded manually and analysed using a thematic and narrative analysis approach. Stakeholders perceived scarcity of service availability at the peripheral level, shortage of professionals, weak referral systems, lack of policy implementation and regulatory mechanisms were significant challenges to the mental health system in Bangladesh. At the population level, low levels of mental health literacy, high societal stigma, and treatment costs were barriers to accessing mental healthcare. Key recommendations included increasing the number of mental health workers and capacity building, strengthening regulatory mechanisms to enhance the quality of care within the health systems, and raising awareness about mental health. Introducing measures that relate to tackling stigma, mental health literacy as well as building the capacity of the health workforce and governance systems will help ensure universal mental health coverage.

Assessment of the feasibility of a community-based mental health training programme for persons with disabilities by non-specialists from different stakeholders' perspectives in Bangladesh

INTRODUCTION

Bangladesh is a developing country where 11% of the population has at least one disability, but no community-level mental health service is available. There is limited evidence of the burden of mental health issues and health-seeking behaviour among this population. This study assessed the feasibility of a training intervention for persons with disabilities, where peer support providers provided community-based disability-inclusive mental health services.

METHODS

Four stakeholder groups participated in this qualitative study: peer responders (trained persons with disabilities), trainers, representatives of organisations of persons with disabilities and disability-specific organisations, and officials of international and national non-governmental organisations. Two types of qualitative interviews were used to collect data, and thematic analysis techniques were utilised.

RESULT

Stakeholders perceived the peer responder training programme as acceptable for persons with disabilities to develop themselves as peer support providers, with potential benefits including increased mental health literacy, ensuring accessible mental health services, and improving the well-being of persons with disabilities. Potential challenges included receiving training and delivering services. Increased training duration, more fieldwork, supervision opportunities, and refresher training were recommended to mitigate training challenges. Financial support and formal community recognition were deemed necessary for training delivery.

CONCLUSION

The peer responder training programme was feasible to ensure accessible mental health services for persons with disabilities, build a workforce to screen for mental health conditions, and provide appropriate referrals. A multi-sectoral collaboration of government and non-governmental institutions is recommended to policy advocates to expand the peer responder training programme in the mainstream mental healthcare system.

Effect of digital based nursing intervention on knowledge of self-care behaviors and self-efficacy of adult clients with diabetes

BACKGROUND

In recent years, there has been growing interest in the use of Digital Based Nursing Intervention to support diabetes management. This study aimed to evaluate the effect of digital based nursing intervention on knowledge of self-care behaviors and self-efficacy of clients with diabetes.

METHODS

Employing a quasi-experimental design, a sample of 120 adult participants diagnosed with type 2 diabetes, aged more than 18 years with focus on older adults was drawn from outpatient clinics at Cairo University Hospital. The intervention was approved and registered by the ethical committee of the faculty of nursing with IRB number: RHDIRB2019041701. The intervention group (n = 60) received a digital-based nursing intervention, while the control group (n = 60) received standard care. Data were collected using adopted standardized tools including the Diabetes Knowledge Test, the Diabetes Self-Efficacy Scale, and the Summary of Diabetes Self-Care Activities. Demographic characteristics were analyzed, and pre- and post-intervention scores were compared using paired t-tests were statistical methods.

RESULTS

The digital-based nursing intervention resulted in significant enhancements in participants with diabetes knowledge and self-efficacy levels. Moreover, the intervention group demonstrated marked improvements in various self-care behaviors encompassing diet, exercise, medication adherence, blood glucose testing, and foot care. While the control group also exhibited some progress, the effects were less pronounced. Regression analyses highlighted age as a consistent factor associated with knowledge, self-efficacy, and specific self-care behaviors.

CONCLUSION

This study underscores the potential of tailored digital nursing interventions to complement traditional care approaches, empowering patients with type 2 diabetes to actively engage in self-management. The findings suggest that digital-based nursing interventions hold promise for enhancing patient knowledge, confidence, and proactive health behaviors. Nevertheless, limitations, including the relatively short intervention duration and a sample from a single clinic, warrant consideration. Future research should address these limitations to bolster the validity and applicability of the study's conclusions.

Feasibility and Acceptability of a Remote Stepped Care Mental Health Programme for Adolescents during the COVID-19 Pandemic in India

Remote mental health services were rapidly deployed during the COVID-19 pandemic, yet there is relatively little contemporaneous evidence on their feasibility and acceptability. This study assessed the feasibility and acceptability of a stepped care mental health programme delivered remotely by lay counsellors to adolescents in New Delhi, India, during a period of 'lockdown'. The programme consisted of a brief problem-solving intervention ("Step 1") followed by a tailored behavioural module ("Step 2") for non-responders. We enrolled 34 participants (M age = 16.4 years) with a self-identified need for psychological support. Feasibility and acceptability were assessed through quantitative process indicators and qualitative interviews (n = 17 adolescents; n = 5 counsellors). Thirty-one (91%) adolescents started Step 1 and 16 (52%) completed the planned Step 1 protocol. Twelve (75%) of the Step 1 completers were non-responsive. Eight (67%) non-responsive cases started Step 2, all of whom met response criteria when reassessed at 12 weeks post-enrolment. Adolescents favoured voice-only sessions over video-calls due to privacy concerns and difficulties accessing suitable devices. Counsellors noted challenges of completing remote sessions within the allotted time while recognising the importance of supervision for developing competence in new ways of working. Both adolescents and counsellors discussed the importance of working collaboratively and flexibly to fit around individual preferences and circumstances. Disentangling pandemic-specific barriers from more routine challenges to remote delivery should be a focus of future research.