Telemedicine: An Innovative Twist to Primary Health Care in Rural Bangladesh

Stakeholders' preferences for the design and delivery of virtual care services: A systematic review of discrete choice experiments

This systematic review aimed to synthesise evidence from discrete choice experiments (DCEs) eliciting preferences for virtual models of care, as well as to assess the quality of those DCEs and compare the relative preferences for different stakeholder groups. Articles were included if published between January 2010 and December 2022. Data were synthesised narratively, and attributes were assessed for frequency, significance, and relative importance using a semi-quantitative approach. Overall, 21 studies were included encompassing a wide range of virtual care modalities, with the most common setting being virtual consultations for outpatient management of chronic conditions. A total of 135 attributes were identified and thematically classified into six categories: service delivery, service quality, technical aspects, monetary aspects, health provider characteristics and health consumer characteristics. Attributes related to service delivery were most frequently reported but less highly ranked. Service costs were consistently significant across all studies where they appeared, indicating their importance to the respondents. All studies examining health providers' preferences reported either system performance or professional endorsement attributes to be the most important. Substantial heterogeneity in attribute selection and preference outcomes were observed across studies reporting on health consumers' preferences, suggesting that the consideration of local context is important in the design and delivery of person-centred virtual care services. In general, the experimental design and analysis methods of included studies were clearly reported and justified. An improvement was observed in the quality of DCE design and analysis in recent years, particularly in the attribute development process. Given the continued growth in the use of DCEs within healthcare settings, further research is needed to develop a standardised approach for quantitatively synthesising DCE findings. There is also a need for further research on preferences for virtual care in post-pandemic contexts, where emerging evidence suggests that preferences may differ to those observed in pre-pandemic times.

COVID-19 associated cognitive impairment: A systematic review

INTRODUCTION

COVID-19 has a wide range of clinical manifestations. Neurological manifestations in COVID-19 patients were demonstrated during the pandemic, including cognitive impairment. This study aimed to determine any relationship between COVID-19 and cognitive complaints, such as dementia, mild cognitive impairment (MCI), or subjective cognitive decline (SCD).

METHODS

We performed a systematic review of MEDLINE via Ebsco, Cochrane EMBASE, SCOPUS, and LILACS electronic databases of observational studies with COVID-19 patients confirmed by serology or PCR who developed new cognitive impairment or deteriorated from previous cognitive impairment after infection. This review protocol was recorded on PROSPERO with registration number CRD 42021241590.

RESULTS

A total of 3.520 articles were retrieved and read. Twenty-two studies were selected for our review. A wide range of cognitive assessment tools (n = 25) was used. The most described affected domains in these studies were executive functions, attention, and episodic memory. Thirteen studies showed a pattern of cognitive impairment in processing speed, inattention, or executive dysfunction assessed through working memory.

CONCLUSION

This review highlights the high frequency of cognitive impairment after COVID-19 infection. However, we were unable to differentiate whether the cognitive impairment found corresponded to mild cognitive impairment or dementia through data from selected studies, and this issue serves as one objective of future studies to be addressed on this topic.

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

BACKGROUND

Bangladesh is a lower-middle-income country affected by a severe lack of mental health service availability due to a scarcity of mental health experts, limited mental health literacy, and community stigma. In other low and middle-income countries, the online provision of mental health care services has addressed issues affecting service availability, accessibility, mass awareness of services, and stigma.

OBJECTIVE

The current study sought to understand stakeholders' perceptions of the potential of digital media-based mental health care delivery in strengthening Bangladesh's mental health system.

METHOD

Online in-depth interviews were conducted with seven psychiatrists and eleven people with lived experiences of mental health issues. In addition, two online focus groups were conducted with ten psychologists and nine mental health entrepreneurs. A thematic analysis of the audio transcriptions was used to identify themes.

RESULT

Stakeholders perceived that the benefits of digital media-based mental health services included the potential of increasing the awareness, availability, and accessibility of mental health services. Participants recommended: the rehabilitation of existing pathways; the use of social media to raise awareness; and the implementation of strategies that integrate different digital-based services to strengthen the mental health system and foster positive mental health-seeking behaviors.

CONCLUSION

Growing mental health awareness, combined with the appropriate use of digital media as a platform for distributing information and offering mental services, can help to promote mental health care. To strengthen mental health services in Bangladesh, tailored services, increased network coverage, and training are required on digital mental health.

Gender disparity in telehealth usage in Bangladesh during COVID-19

Background and aims

Telehealth allows healthcare workers to see patients virtually in locations that were not accessible previously, which has reduced cost and time and saved lives. The research aims to examine gender disparity among telehealth usage during the pandemic in 2020. This study will leverage a timely national experiment to evaluate the users of telehealth across the Bangladeshi population.

Methods

We obtained de-identified data for 200 patients among outpatient telehealth visits from Global Health Data Exchange as it captured telehealth use throughout Bangladesh.

Results

The analysis showed that male patients had a higher dependency on telehealth than female patients. 14% of the female patients opted for telehealth visits only with 57% cases of missed doses of medication, compared to males with 20% of them choosing telehealth visits and 29% missing their doses of medication. We found that the youngest age group, 16–25, had the highest dependence on telehealth compared to any other age group, and the lowest dependence was among the oldest age group of 45 years and above.

Conclusions

There was a strong association between telehealth use and gender disparity with p value ​= ​0.02 ​< ​0.05. Longitudinal and geographical data are needed to understand more about the gender disparities and impact in telehealth utilizations.