Mobile Technologies for Monitoring Sleep Time: A Systematic Search of App Stores in Brazil.

Introduction Decreased sleep time is detrimental to physical and mental health, exerting negative impacts on daily functioning and quality of life. Mobile health (mHealth) applications can be useful for improving sleep quality. Objective To perform a systematic search of mHealth applications for monitoring sleep time at Brazilian online stores and evaluate the selected applications in terms of engagement, functionality, aesthetics, and quality of information. Methods A systematic search was performed at the Google Play Store and the App Store developed or updated between 2020 and 2022. The mobile app rating scale (MARS) was used to assess their quality. The characteristics and information of these applications were presented. Data were analyzed descriptively. Results Among the 2,264 relevant mHealth apps identified, 11 were eligible for inclusion. There was one app that offered only sleep time recordings, three offered sleep recordings and educational content, three monitored sleep time with audiovisual resources, two offered sleep time recordings with a focus on monitoring snoring, and two offered sleep time monitoring with individual content customizations. The apps scored fair on MARS, with a mean of 3.5 points (standard deviation: 0.8) on a scale of 1 to 5. Most apps scored low due to poor evidence-based information, aesthetics, and engagement. Conclusion Although the use of mHealth technologies for monitoring sleep time has considerable potential for investigation, it is a relatively new, underexplored topic. Collaboration between researchers, clinical professionals, patients, and application developers is necessary for the creation of new evidence-based mHealth applications focused on Brazilian users.

Mobile health technologies for workers' health and wellbeing: A systematic search of mHealth applications in Brazil.

BACKGROUND: Inadequate working conditions and sedentary work can exert a negative impact on workers' health and wellbeing, leading to musculoskeletal disorders and disability. Mobile health (mHealth) applications (apps) have high potential for the self-management of workers' health. OBJECTIVE: To identify mHealth apps aimed at promoting workers' health and wellbeing available in Brazilian online stores and assess these apps in terms of engagement, functionality, aesthetics and information quality. METHODS: A systematic search for apps was conducted in the Brazilian online App Store and Play Store in December 2022. Only smartphone apps in Brazilian Portuguese directed at workers' health were assessed. The appraisal of the quality of the applications was performed using the Mobile App Rating Scale (MARS). RESULTS: Among the 3449 mHealth apps found, ten were eligible for inclusion. The mean overall score was 3.15 ± 0.91 on a scale of 1-5. The lowest score was found for the "credibility" item. Exercises and breaks were the most frequent strategies. Most apps provided low-quality information from questionable sources and therefore received a mean score of 2.1 ± 1.5 on the MARS information subscale. CONCLUSION: Ten relevant mHealth apps were eligible for inclusion. The mHealth apps for the promotion of workers' health and wellbeing currently available in Brazil exhibited moderate quality and limited functionality.

Perspectives, practices, and challenges of online teaching during COVID-19 pandemic: A multinational survey.

The result of the movement restrictions during the COVID-19 pandemic was an impromptu and abrupt switch from in-person to online teaching. Most focus has been on the perception and experience of students during the process. The aim of this international survey is to assess staffs' perspectives and challenges of online teaching during the COVID-19 lockdown. Cross-sectional research using a validated online survey was carried out in seven countries (Brazil, Saudi Arabia, Jordan, Indonesia, India, the United Kingdom, and Egypt) between the months of December 2021 and August 2022, to explore the status of online teaching among faculty members during the COVID-19 pandemic. Variables and response are presented as percentages while logistic regression was used to assess the factors that predict levels of satisfaction and the challenges associated with online instruction. A total of 721 response were received from mainly male (53%) staffs. Most respondents are from Brazil (59%), hold a Doctorate degree (70%) and have over 10 years of working experience (62%). Although, 67% and 79% have relevant tools and received training for online teaching respectively, 44% report that online teaching required more preparation time than face-to-face. Although 41% of respondents were uncertain about the outcome of online teaching, 49% were satisfied with the process. Also, poor internet bandwidth (51%), inability to track students' engagement (18%) and Lack of technical skills (11.5%) were the three main observed limitations. Having little or no prior experience of online teaching before the COVID-19 pandemic [OR, 1.58 (95% CI, 1.35-1.85)], and not supporting the move to online teaching mode [OR, 0.56 (95% CI,0.48-0.64)] were two main factors independently linked with dissatisfaction with online teaching. While staffs who support the move to online teaching were twice likely to report no barriers [OR, 2.15 (95% CI, 1.61-2.86)]. Although, relevant tools and training were provided to support the move to online teaching during COVID-19 lockdown, barriers such as poor internet bandwidth, inability to track students' engagement and lack of technical skills were main limitations observed internationally by teaching staffs. Addressing these barriers should be the focus of higher education institution in preparation for future disruptions to traditional teaching modes.

Poor Health Conditions among Brazilian Healthcare Workers: The Study Design and Baseline Characteristics of the HEROES Cohort.

This study was conducted to describe the health conditions (the psychosocial aspects, sleep quality, and musculoskeletal symptoms) among Brazilian healthcare workers in the context of the pandemic. Workers answered an online questionnaire, including the short version of the Copenhagen Psychosocial Questionnaire (COPSOQ II), the Pittsburgh Sleep Quality Index (PSQI), the Nordic Musculoskeletal Questionnaire (NMQ), and the Beck Depression Inventory (BDI). The most unfavourable psychosocial factors were work pace (61%; 95% CI: 52-69%), emotional work demands (75%; 95% CI: 67-82%), predictability (47%; 95% CI: 39-56%), work-family conflict (55%; 95% CI: 46-64%), burnout (86%; 95% CI: 78-91%), and stress (81%; 95% CI: 73-87%). Most workers (74%; 95% CI: 66-81%) were classified as poor sleepers. Musculoskeletal symptoms were frequent in the neck (64%; 95% CI: 55-72%), shoulders (62%; 95% CI: 54-70%), upper back (58%; 95% CI: 50-67%), and lower back (61%; 95% CI: 52-69%). Depressive symptoms were also highly prevalent (mild: 22%; 95% CI: 15-30%, moderate: 16%; 95% CI: 11-23%, severe: 8%; 95% CI: 4-14%). Most healthcare workers experience unfavourable psychosocial factors, poor sleep quality, as well as musculoskeletal and depressive symptoms. These findings underscore the urgent need to acknowledge and address psychological and physical distress to improve the personal and professional well-being of this population.