Mind the gap: Exploring information gaps for the development of an online resource hub for epilepsy and depression

Preliminary effectiveness of an evidence-based mobile application to promote resilience among working adults in Singapore and Hong Kong: Intensive longitudinal study

Evidence-based mobile health (mHealth) applications on smartphones are a cost-effective way for employees to take proactive steps to improve well-being and performance. However, little is known about what sustains engagement on these applications and whether they could dynamically improve occupational outcomes such as resilience and mood. Using real-world data, this intensive longitudinal study examines (a) which employees would continually engage with a cognitive behavioural therapy-informed mHealth application ('Intellect'); and (b) if daily engagement of 'Intellect' would relate to better occupational outcomes on the following day. A total of 515 working adults in Singapore and Hong Kong (Mage = 32.4, SDage = 8.17) completed daily in-app items on mood and resilience components (i.e. sleep hours, sleep quality, physical activity, and stress levels). Our results revealed that employees with lower baseline resilience (β = -0.048, odds ratio (OR) = 0.953, p < 0.01), specifically poorer sleep quality (β = -0.212, OR = 0.809, p = 0.001) and/or higher stress levels (β = -0.255, OR = 0.775, p = 0.05), were more likely to resume engagement on the application. Among the 150 active users (i.e. ≥3 consecutive days of engagement) (Mage = 32.2, SDage = 8.17), daily engagement predicted higher resilience (β = 0.122; 95% confidence interval (CI) 0.039-0.206), specifically lower stress levels (β = 0.018; 95% CI 0.004-0.032), higher physical activity (β = 0.079; 95% CI 0.032-0.126), and mood levels (β = 0.020; 95% CI 0.012-0.029) on the following day even after controlling for same-day outcomes. Our preliminary findings suggest that engaging with a mHealth application was associated with higher dynamic resilience and emotional well-being in employees.

Experiences of stigma in people with epilepsy: A meta-synthesis of qualitative evidence

OBJECTIVE

Stigma is reported to cause as much distress and effect on quality of life for individuals with epilepsy as the physical symptoms of seizures. Existing quantitative reviews have focused on describing levels of stigma in epilepsy, but no qualitative review has been undertaken despite the increasing number of relevant studies. We provide a qualitative synthesis to aid the understanding of stigma experiences in adults with epilepsy across different sociocultural contexts.

METHODS

A systematic database search yielded an initial set of 3,032 relevant papers, of which 28 were included. A meta-synthesis was conducted according to a meta-ethnographic approach which has been adapted for health research.

RESULTS

Five themes were generated: 1) Societal negative perceptions of epilepsy result in discrimination and rejection; 2) Internal attributions of blame lead to negative self-perception and shame; 3) Stigma impacts everyday life and contributes to reliance on others; 4) Stigma is managed through concealment and avoidance; 5) Support from others is beneficial but dependant on own and others' understandings of epilepsy. These themes highlighted the key individual experiences of epilepsy stigma, which appeared to some degree culture-specific. Culturally-informed misconceptions of epilepsy were readily internalised, resulting in emotional challenges and affecting participants' lives. Strategies for coping with this were also described.

SIGNIFICANCE

This synthesis characterised the experiences of stigma among adults with epilepsy and highlighted key similarities and differences in these experiences across sociocultural contexts. Educational programmes to inform communities about epilepsy hold importance going forward.

The information needs of internet users and their requirements for online health information-A scoping review of qualitative and quantitative studies

OBJECTIVE

This scoping review has been conducted to summarise the information needs of internet users and their requirements for online health information.

METHODS

We searched MEDLINE, Web of Science and Scopus up to July 2019. Qualitative, quantitative and mixed-method studies were included and a thematic synthesis with category formation and exact description of the items was carried out.

RESULTS

118 studies were included. To address all users' needs mentioned in the included studies, we grouped them into nine main categories: authority, comprehension, currency, evidence-based information, exchange with others, independence, purpose, services, user experience. The evaluation showed that website users wanted qualifications of authors to be cited. Users preferred health information that offered interactive elements and resources for relatives, whilst also providing an opportunity for online contact with others. The ease with which information was accessed and the intelligibility of texts were regarded as being very important to users.

CONCLUSION

Given the rapid evolvement and changes of online health information, it is crucial to provide up to date insights and a comprehensive overview of the range of criteria.

PRACTICE IMPLICATIONS

With the results obtained through this scoping review, the creators of online health information could be assisted in providing user-specific resources.

Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review

Background

Digital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental health support, and many studies have demonstrated their effectiveness in improving symptoms. However, user engagement varies, with regard to a user’s uptake and sustained interactions with these interventions.

Objective

This systematic review aims to identify common barriers and facilitators that influence user engagement with DMHIs.

Methods

A systematic search was conducted in the SCOPUS, PubMed, PsycINFO, Web of Science, and Cochrane Library databases. Empirical studies that report qualitative and/or quantitative data were included.

Results

A total of 208 articles met the inclusion criteria. The included articles used a variety of methodologies, including interviews, surveys, focus groups, workshops, field studies, and analysis of user reviews. Factors extracted for coding were related to the end user, the program or content offered by the intervention, and the technology and implementation environment. Common barriers included severe mental health issues that hampered engagement, technical issues, and a lack of personalization. Common facilitators were social connectedness facilitated by the intervention, increased insight into health, and a feeling of being in control of one’s own health.

Conclusions

Although previous research suggests that DMHIs can be useful in supporting mental health, contextual factors are important determinants of whether users actually engage with these interventions. The factors identified in this review can provide guidance when evaluating DMHIs to help explain and understand user engagement and can inform the design and development of new digital interventions.

Digital and technological opportunities in epilepsy: Toward a digital ecosystem for enhanced epilepsy management

This commentary details the implications of a growing body of literature supporting several categories of supportive digital tools for the self-management of epilepsy. Although many prior review articles have focused on specific forms of digital epilepsy solutions, we propose the concept of an integrated self-management digital ecosystem. This would include categories of tools including self-management education programs, electronic diaries for self-monitoring, and automated wearables for seizure detection. Within these categories, individual interventions have been studied and made available to patients for years, but the evolution of a digital ecosystem promises the potential to integrate these tools in a manner that can meaningfully benefit patients' health. This commentary presents a discussion of the possible concerns that are preventing more widespread adoption of these digital health resources. Barriers are identified at multiple positions of the healthcare system, including the individual, the organizational, the community, and the policy levels.

Relationships between knowledge, attitudes, stigma, anxiety and depression, and quality of life in epilepsy: A structural equation modeling

PURPOSE

Epilepsy not only is a medical disorder characterized by seizures, but is also associated with stigma and a neurological disorder that affects quality of life. Insufficient knowledge and misconceptions about epilepsy that causes the development of negative attitudes towards patients with epilepsy increase the stigmatization and psychosocial problems and impact the quality of life. The aim of this study was to examine the relationship between epilepsy knowledge, attitude, stigma, anxiety and depression, and quality of life within the framework of structural equation modeling.

METHOD

This research was carried out between May 2015 and May 2016 at the Epilepsy Outpatient Clinic of Istanbul University Istanbul Faculty of Medicine. The Epilepsy Knowledge Scale, Epilepsy Attitude Scale, Stigma Scale, Hospital Anxiety and Depression Scale, and Quality of Life in Epilepsy Scale-10 (QOLIE-10) were used. To determine the relationship between the concepts, research hypotheses were created, and structural equation modeling was made.

RESULTS

Two hundred five patients were included in the study, 53.7% were women, and the mean age was 32.5. It was found that 72.2% had generalized seizures, and 46.3% had more than one seizure per month. According to our proposed model, knowledge had a moderate relationship with attitude (including stigma) (r = 0.50) that, in turn, had a strong relationship with mental health (r = -0.62) while a moderate relationship with quality of life (r = 0.45). Our findings revealed that proposed model accounted for 20% of the variance in quality of life and 39% of the variance in mental health (anxiety and depression).

CONCLUSION

Mental health and quality of life of patient with epilepsy are closely related to the knowledge, attitude, and perceived stigma of the patients. Therefore, educating/supporting patients can help increase the mental health and quality of life.