Store-and-Forward Teledermatology for Assessing Skin Cancer in 2023: Literature Review

Background: The role of teledermatology for skin lesion assessment has been a recent development, particularly, since the COVID-19 pandemic has impacted the ability to assess patients in person. The growing number of studies relating to this area reflects the evolving interest. Objective: This literature review aims to analyze the available research on store-and-forward teledermatology for skin lesion assessment. Methods: MEDLINE was searched for papers from January 2010 to November 2021. Papers were searched for assessment of time management, effectiveness, and image quality. Results: The reported effectiveness of store-and-forward teledermatology for skin lesion assessment produces heterogeneous results likely due to significant procedure variations. Most studies show high accuracy and diagnostic concordance of teledermatology compared to in-person dermatologist assessment and histopathology. This is improved through the use of teledermoscopy. Most literature shows that teledermatology reduces time to advice and definitive treatment compared to outpatient clinic assessment. Conclusions: Overall, teledermatology offers a comparable standard of effectiveness to in-person assessment. It can save significant time in expediting advice and management. Image quality and inclusion of dermoscopy have a considerable bearing on the overall effectiveness. © Leah Kirsten Jones, Amanda Oakley.

Mapping of functional areas in Spain based on mobile phone data during different phases of the COVID-19 pandemic

Mobility functional areas are tools based on human mobility that can be useful for spatial and transport planning in delicate situations such as the COVID-19 pandemic. In this work, we aim to map functional areas in Spain from four days corresponding to different phases of the disease. For that goal, mobile phone data provided by Spanish Statistical National Institute (INE) has been used due to its value and potential to provide constantly updated information of mobility at almost-real time. The methodology consists of a network analysis over an origin-destination matrix to obtain modularity values for 3214 population cells provided by the INE. These values were then used to cluster the cells into functional areas. The results show how different confinement and mobility restriction policies influence the amount, size and shape of the functional areas, and therefore, they affect access to services or jobs.

Experience with a mobile CT scanner as part of an airmobile hospital of the Ministry of Emergencies of Russia in the field conditions of the Far North to combat the outbreak of a new coronavirus infection.

Background. Large-scale construction of industrial and transport facilities is underway in the Far North of Russia. The process involves more than 10,000 shift workers, and there was a Covid19 outbreak in this population. In order to contain the outbreak and prevent the spread of infection in this area the Russian Emergencies Ministry deployed an airmobile hospital. Purpose. The purpose is to present an experience of work with the mobile CT scanner as part of an airmobile field hospital deployed in the Far North of Russia to combat the Covid-19 outbreak. Materials and methods. On April 6, 2020, the construction site reported a "zero patient" who sought medical aid;the PCR test showed positive results of coronavirus. In the first half of April, over 300 rotation employees applied for medical care, most of them had a positive PCR test. On April 11, a state of emergency was declared in the construction site and, on April 17, 2020, airmobile hospital started operations. Its mission lasted 54 days. The mobile CT scanner (Brightspeed Elite Mobile, GE) was transported by land. The field hospital closely cooperated with the nearest medical institutions and the regional clinical hospital. Results. During its work the airmobile hospital examined 1,678 rotational workers and 408 employees of the Ministry of Emergency Situations of the Murmansk region, with 2,086 CT scans performed. The average age of the patients was 37.8 years, men predominated. In 91.2% of patients, fever was the first symptom of the disease. Blood saturation results ranged from 92% to 99%. The degree of lung involvement ranged from CT 0 to CT 4. During the work of the airmobile hospital, COVID-19 was diagnosed in 500 people, including 328 cases of mild form, 98 - moderate, 74 - severe, no mortalities. Conclusion. A positive experience of application of the mobile CT scanner as part of the AMH field hospital in unfavorable epidemiological conditions of the Far North of the Russian Federation was obtained. CT plays a key role in early detection of infection, differential diagnosis, and identification of complications. Determination of the severity of the disease based on CT data is crucial for patient routing.Copyright © 2021 Medical Visualization. All rights reserved.

The Implications of Using Digital Technologies in the Management of COVID-19: Comparative Study of Japan and South Korea.

BACKGROUND: Technology can assist in providing effective infectious disease management, but it can also become a source of social injustice and inequality. To control the rapidly increasing SARS-CoV-2 infections and promote effective vaccine administration, both South Korea and Japan have been using several technology-based systems and mobile apps. However, their different approaches to technology use have yielded contrasting social implications. OBJECTIVE: Through comparative studies of the use of digital technologies for pandemic management and its social implications in Japan and South Korea, this study aimed to discuss whether the active and optimal use of technology for pandemic management can occur without subverting or compromising important social values, such as privacy and equality. METHODS: This study compared the social implications of Japan's and South Korea's contrasting approaches to technology implementation for COVID-19 pandemic management in early 2022. RESULTS: Digital technologies have been actively and comprehensively used in South Korea, enabling effective COVID-19 management, but have raised serious concerns about privacy and social equality. In Japan, technologies have been more carefully implemented, thereby not causing similar social concerns, but their effectiveness in supporting COVID-19 regulations has been criticized. CONCLUSIONS: Potential social implications such as equality concerns, the balance between public interest and individual rights, and legal implications must be carefully assessed in conjunction with effective and optimal infectious disease control to achieve sustainable use of digital health technologies for infectious disease management in the future.

Acceptability of an mHealth App for Monitoring Perinatal and Postpartum Mental Health: Qualitative Study With Women and Providers.

BACKGROUND: Up to 15% of pregnant and postpartum women commonly experience undiagnosed and untreated mental health conditions, such as depression and anxiety, which may result in serious health complications. Mobile health (mHealth) apps related to mental health have been previously used for early diagnosis and intervention but not among pregnant and postpartum women. OBJECTIVE: This study aims to assess the acceptability of using mHealth to monitor and assess perinatal and postpartum depression and anxiety. METHODS: Focus group discussions with pregnant and postpartum women (n=20) and individual interviews with health care providers (n=8) were conducted to inform the acceptability of mHealth and determine its utility for assessing perinatal and postpartum mood symptoms. Participants were recruited via purposive sampling from obstetric clinics and the surrounding community. A semistructured interview guide was developed by an epidemiologist with qualitative research training in consultation with an obstetrician. The first author conducted all focus group discussions and provider interviews either in person or via Zoom (Zoom Video Communications, Inc) depending on the COVID-19 protocol that was in place during the study period. All interviews were audio recorded with consent; transcribed; and uploaded for coding to ATLAS.ti 8 (ATLAS.ti Scientific Software Development Gmb H), a qualitative data analysis and retrieval software. Data were analyzed using the deductive content analysis method using a set of a priori codes developed based on the interview guide. Methodological rigor and quality were ensured by adopting a systematic approach during the implementation, data collection, data analysis, and reporting of the data. RESULTS: Almost all women and providers had downloaded and used at least 1 health app. The respondents suggested offering short questions in layperson language that could be understood by women of all educational levels and offering no more than 2 to 3 assessments per day at preferred timings decided by the women themselves. They also suggested that the women themselves receive the alerts first, with other options being family members, spouses, or friends if the women themselves did not respond within 24 to 72 hours. Customization and snooze features were strongly endorsed by women and providers to improve acceptability and utility. Women mentioned competing demands on their time during the postpartum period, fatigue, privacy, and the security of mental health data as concerns. Health care professionals highlighted the long-term sustainability of app-based mood assessment and monitoring as an important challenge. CONCLUSIONS: The findings from this study show that mHealth would be acceptable to pregnant and postpartum women for monitoring mood symptoms. This could inform the development of clinically meaningful and inexpensive tools for facilitating the continuous monitoring of, the early diagnosis of, and an early intervention for mood disorders in this vulnerable population.

Triage and Diagnostic Accuracy of Online Symptom Checkers: Systematic Review.

BACKGROUND: In the context of a deepening global shortage of health workers and, in particular, the COVID-19 pandemic, there is growing international interest in, and use of, online symptom checkers (OSCs). However, the evidence surrounding the triage and diagnostic accuracy of these tools remains inconclusive. OBJECTIVE: This systematic review aimed to summarize the existing peer-reviewed literature evaluating the triage accuracy (directing users to appropriate services based on their presenting symptoms) and diagnostic accuracy of OSCs aimed at lay users for general health concerns. METHODS: Searches were conducted in MEDLINE, Embase, CINAHL, Health Management Information Consortium (HMIC), and Web of Science, as well as the citations of the studies selected for full-text screening. We included peer-reviewed studies published in English between January 1, 2010, and February 16, 2022, with a controlled and quantitative assessment of either or both triage and diagnostic accuracy of OSCs directed at lay users. We excluded tools supporting health care professionals, as well as disease- or specialty-specific OSCs. Screening and data extraction were carried out independently by 2 reviewers for each study. We performed a descriptive narrative synthesis. RESULTS: A total of 21,296 studies were identified, of which 14 (0.07%) were included. The included studies used clinical vignettes, medical records, or direct input by patients. Of the 14 studies, 6 (43%) reported on triage and diagnostic accuracy, 7 (50%) focused on triage accuracy, and 1 (7%) focused on diagnostic accuracy. These outcomes were assessed based on the diagnostic and triage recommendations attached to the vignette in the case of vignette studies or on those provided by nurses or general practitioners, including through face-to-face and telephone consultations. Both diagnostic accuracy and triage accuracy varied greatly among OSCs. Overall diagnostic accuracy was deemed to be low and was almost always lower than that of the comparator. Similarly, most of the studies (9/13, 69 %) showed suboptimal triage accuracy overall, with a few exceptions (4/13, 31%). The main variables affecting the levels of diagnostic and triage accuracy were the severity and urgency of the condition, the use of artificial intelligence algorithms, and demographic questions. However, the impact of each variable differed across tools and studies, making it difficult to draw any solid conclusions. All included studies had at least one area with unclear risk of bias according to the revised Quality Assessment of Diagnostic Accuracy Studies-2 tool. CONCLUSIONS: Although OSCs have potential to provide accessible and accurate health advice and triage recommendations to users, more research is needed to validate their triage and diagnostic accuracy before widescale adoption in community and health care settings. Future studies should aim to use a common methodology and agreed standard for evaluation to facilitate objective benchmarking and validation. TRIAL REGISTRATION: PROSPERO CRD42020215210; https://tinyurl.com/3949zw83.

The Use of Telehealth Among People Living With Dementia-Caregiver Dyads During the COVID-19 Pandemic: Scoping Review.

BACKGROUND: Telehealth has gained substantial attention during the COVID-19 pandemic, and reimbursement policies in health care settings have increased access to remote modes of care delivery. Telehealth has the potential to mitigate care concerns for people living with dementia and their family caregivers. There is a paucity of knowledge on the performance of telehealth services and user experiences, especially among caregiving dyads during the pandemic. OBJECTIVE: This study aims to describe the implementation, effectiveness, user experience, and barriers to accessing and using telehealth services for people living with dementia and their caregivers during the COVID-19 pandemic. METHODS: Following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist, we searched 7 databases (PubMed, PsycINFO, AgeLine, CINAHL, Social Services Abstracts, Web of Science, and Scopus) and a web-based search engine (Google Scholar). The inclusion criteria for peer-reviewed English publications from March 2020 to August 2022 consisted of studies related to telehealth services for people living with dementia and their family caregivers and studies conducted during the COVID-19 pandemic. RESULTS: A total of 24 articles (10 quantitative and 14 qualitative studies) from 10 different countries were included. The major findings of the reviewed articles were extracted and organized into the following 4 themes: study design characteristics-strategies were adopted to improve the accessibility and experience of people living with dementia-caregiver dyads; efficacy outcomes of telehealth services-robust evidence is lacking on the comparative effectiveness of in-person services; perceived experiences of people living with dementia and caregivers-most reviewed studies reported positive experiences of using telehealth services and perceived personal and social benefits from their participants; and barriers to accessing and using telehealth services-several barriers related to individuals, infrastructure, and telehealth environments were identified. CONCLUSIONS: Although evidence of its effectiveness is still limited, telehealth is widely accepted as a viable alternative to in-person care for high-risk groups, such as people living with dementia and their caregivers. Future research should include expanding digital access for those with limited resources and low technology literacy, adopting randomized controlled trial designs to establish the comparative effectiveness of different modes of service delivery, and increasing the sample diversity.

Evaluation of the Health and Nutritional Status of Discharged Children From Malnutrition Treatment Centres Using Mobile Phone Calls During the COVID-19 Lockdown in Jharkhand, India.

Background The Indian state of Jharkhand has the highest rate of wasting (29%) among young children. Mobile audio call follow-up can be used to assess such children with severe acute malnutrition (SAM). Aim This study evaluated SAM children during the COVID-19 outbreak and learn more about the status of their home/community care, and caregivers' awareness of integrated child development services (ICDS) and COVID-19 prevention. Methods Contact numbers of caregivers for discharged children were obtained from 54 malnutrition treatment centers (MTCs). In April and June 2020, mentors conducted follow-up interviews using mobile phone calls. Results Seven children (1.72%) were reported dead and 400 were alive, mostly girls (59.5%). Only a few caregivers observed post-discharge ailments (15.4%) and weight loss (7.7%) in their children. Children aged six to 24 months were characterized by continued breastfeeding (88.0%) at most five to six times a day (45.8%). Most of the children were not fed as per maternal infant and young child feeding protocols. Age in months with an adjusted odds ratio (OR) of 0.55 (1.00-1.11) as a 95% confidence interval (CI), age category, with an adjusted OR of 4.32 (1.71- 10.94) as 95% CI, and breastfeeding with adjusted OR 1.85 (1.07- 3.21) as 95% CI were three major predictors for a well-fed child. Conclusion Community involvement is crucial in the follow-up of children with SAM for effective rehabilitation. Mobile phone audio call follow-up is a relatively cost-effective approach to tackle geographic barriers and COVID-19 lockdown-induced situations. There are major gaps mainly in informing caregivers on how to manage COVID-19 with breastfeeding.

Prediction of Contaminated Areas Using Ultraviolet Fluorescence Markers for Medical Simulation: A Mobile Phone Application Approach.

The use of ultraviolet fluorescence markers in medical simulations has become popular in recent years, especially during the COVID-19 pandemic. Healthcare workers use ultraviolet fluorescence markers to replace pathogens or secretions, and then calculate the regions of contamination. Health providers can use bioimage processing software to calculate the area and quantity of fluorescent dyes. However, traditional image processing software has its limitations and lacks real-time capabilities, making it more suitable for laboratory use than for clinical settings. In this study, mobile phones were used to measure areas contaminated during medical treatment. During the research process, a mobile phone camera was used to photograph the contaminated regions at an orthogonal angle. The fluorescence marker-contaminated area and photographed image area were proportionally related. The areas of contaminated regions can be calculated using this relationship. We used Android Studio software to write a mobile application to convert photos and recreate the true contaminated area. In this application, color photographs are converted into grayscale, and then into black and white binary photographs using binarization. After this process, the fluorescence-contaminated area is calculated easily. The results of our study showed that within a limited distance (50-100 cm) and with controlled ambient light, the error in the calculated contamination area was 6%. This study provides a low-cost, easy, and ready-to-use tool for healthcare workers to estimate the area of fluorescent dye regions during medical simulations. This tool can promote medical education and training on infectious disease preparation.

Immunosuppression Doubles the Risk of Covid-19 Infection in a Large Vaccinated Cohort of 898 Patients with Rheumatic Diseases: Implications for Future Practice

Background/Aims It is recognised that immunosuppressive medications, often relied upon in the management of autoimmune rheumatic disease, inhibit vaccine-induced immunity against the SARS-CoV-2 virus. A key challenge for rheumatologists is maximising immunity provided by the vaccine in their patients. Recent data has implicated methotrexate (MXT), a commonly used disease modifying anti-rheumatic drug (DMARD), in reducing patients' vaccine-induced immunity against the virus and studies have demonstrated the effectiveness of pausing MXT medication for 2-weeks after receiving the vaccine in boosting patients' immunity. There is a lack of data exploring the impact of concurrent biologic-DMARD (b-DMARD) use with MXT on COVID-19 infection rates in vaccinated individuals. This analysis forms part of a larger programme of research (clinicaltrials.gov NCT04542031) exploring COVID-19 in patients with rheumatic disease. Here we provide a comparative analysis of COVID-19 infection rates between patients taking MXT either with or without b-DMARD therapy and those on no immunosuppression. Methods We distributed two web-based questionnaires via SMS-messaging in April 2020 and December 2021 and two interim monitoring questionnaires in December 2020 and June 2021. All rheumatology patients with a valid mobile telephone number under follow up at the Royal Wolverhampton Trust were invited to participate in the study;those that consented received follow up questionnaires. We collected information on demographics, rheumatology diagnosis and treatment, vaccination status, and COVID-19 infection rates. Data were collected 7-days following questionnaire distribution. Results Initial questionnaires were sent to 7911 active follow up patients, 1636/ 7911 (21%) responded and consented to further follow up;906/1636 (55.4%) provided a complete response to the final survey which was subsequently linked to survey one enabling analysis. Responders were female (622/906, 68.7%), white (865, 95.5%), 60 years or above (519, 57.3%), and vaccinated (898/906;99.1%). Of those vaccinated significantly more patients that were on any immunosuppressive therapy compared to those on no immunosuppression (92/530 (17.4%) vs. 26/368 (7.1%);p<0.001), and more in the MXT monotherapy group compared to no immunosuppression (33/222 (14.9%) vs. 26/368 (7.1%);p=0.001) contracted COVID-19. Similar numbers in the MTX and b-DMARD and b-DMARD without MXT groups (23/140 (16.4%) vs. 36/168 (21.4%);p=0.23) contracted COVID-19. Conclusion Recent trial data from the VROOM study has demonstrated that omitting a patients MXT therapy for a 2-week period following administration of the COVID-19 vaccine doubles their antibody response. This data highlights that the risk of COVID-19 infection in vaccinated rheumatology patients is doubled in patients on any immunosuppressive medication compared to those on no immunosuppression, while there is no significant difference in infection rates between patients on MXT and a b-DMARD and b-DMARD therapy without MXT. Further work exploring the impact of different types of immunosuppression on COVID-19 vaccine-induced immunity and simple interventions to maximise this immunity in immunosuppressed individuals is required.

Opportunities And Threats In Digital Education

COVID-19 pandemic has caused havoc worldwide. India is also facing challenging circumstances as the figure of infected/positive cases is rising day by day. This study deals with the development of education: Post COVID-19. This paper will help to understand "Digital Education: Opportunities and Threats". The Corona virus has exposed emerging vulnerabilities in learning systems all over the world. A lot of relevant literature was explored to confine the essence of continued learning during these exceptional times. Educational organizations all over the world are moving towards online/Digital learning. This paper also proposes digital education as an urgent need in this lock downs times and social distancing due to COVID-19 pandemic. It also provides a powerful stage for further research. The use of digital technology in education is experiencing a tremendous boom in education sector with cost effectiveness. Although it is unclear whether technology will plug all of the holes in the Indian Education system but it seems that technology is playing a major role in education interventions. Due to advancements in technology, accessibility of low-priced laptops/mobiles, wireless equipments, and related communications setups signs both opportunities and challenges for learning organizations and their faculty and students. Digital Education has potential that can produce knowledge workers. The government has analyzed that ICT sector has important role in education due to that many programmes such as NEOR, NMEICT, NKN, Eklavya, NPTEL, and NROER has been launched. Digital Education has bring success in the field of education but still there area number of challenges in most of Indian institutes like shortage of quality teachers, deprived quality of research, and deprived quality of training etc. Digital Education is overall very beneficial for the students of country like India.Copyright © 2020 Ubiquity Press. All rights reserved.

Psychological Impact of E-Learning among Students: A Survey

Aim: This study is conducted to know the psychological impact of e learning among the students. Background(s): From the time of very first beginning of civilization to modern days before corona pandemic situation, most of the students of India are very much used to with the offline mode of learning. But now the situation is changed totally. They are getting themselves adapted to the online mode of learning as per need of time. In this changed scenario they are totally disconnected from their usual life with frames schools teachers and society. This situation wreaks havoc to their psychology. Methodology: This study is conducted with primary data in form of online survey. It was conducted with a pre formed questionnaire. 428 responses were collected for the present study. With advanced Excel software statistical analysis done. Outcome(s): Results show that students have shown negative impression on online learning and still they are not ready totally psychologically. Still positive answers show neck to neck result, which signifies increasing interest towards e learning. More practices and awareness required before further implementation.Copyright © 2020 Ubiquity Press. All rights reserved.

Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges.

Emergency medicine and its services have reached a breaking point during the COVID-19 pandemic. This pandemic has highlighted the failures of a system that needs to be reconsidered, and novel approaches need to be considered. Artificial intelligence (AI) has matured to the point where it is poised to fundamentally transform health care, and applications within the emergency field are particularly promising. In this viewpoint, we first attempt to depict the landscape of AI-based applications currently in use in the daily emergency field. We review the existing AI systems; their algorithms; and their derivation, validation, and impact studies. We also propose future directions and perspectives. Second, we examine the ethics and risk specificities of the use of AI in the emergency field.

SAFETY OF Ad26.COV2.S AND AZD1222 COVID-19 VACCINES AMONG ADULTS IN MALAWI

Background: The safety profiles of the Ad26.COV2.S and AZD1222 COVID-19 vaccines have not been described in a general population in Malawi. We present self-reported adverse reactions (AE) following receipt of these vaccines in Malawi as part of a phone-based syndromic surveillance survey. Method(s): We conducted phone-based syndromic surveillance surveys among adults (>=18 years) with verbal consent from July 2020 to April 2022. We used secure tablets through random digit dialing to randomly select mobile phone numbers and electronic data collection forms. Survey questions included whether the respondent had received at least one dose of the COVID-19 vaccines, whether they had experienced any AE following vaccination, and the severity of the AE. We used multivariable analysis to identify factors associated with self-reported adverse reactions post-COVID-19 vaccination. Result(s): A total of 11,924 (36.0%) out of 33,150 participants reported receiving at least one dose of either Ad26.COV2.S or AZD1222 between July-December 2021;65.1% were female. An estimated 49.2% of the vaccine recipients reported at least one AE, 90.6% of which were mild, and 2.6% were severe. About 16.9% (n=656) of respondents who received the first dose of AZD1222 had AE, while 50.2% (n=2,823) of those who received the second dose of AZD1222 and nearly all individuals (n=2,385) who received Ad26.COV2.S reported AE. Joint pain (45.5%), fever (26.7%), headache (26.1%), pain at the injection site (24.4%), and fatigue (16.6%) were among the commonly reported AE. Males were less likely to report an AE compared to females [Adjusted Odds Ratio (AOR) 0.81 95% confidence interval (CI) 0.75-0.88]. Older age was associated with reduced odds of an AE compared to those aged 18-24 years: 65 years+ (AOR 0.62, 95% CI 0.50- 0.77). The likelihood of reporting AE increased with education level: tertiary education AOR 2.63 95% CI 1.96-3.53. Respondents who thought COVID-19 vaccines were not safe were more likely to report post-vaccination adverse reactions than those who thought it was very safe (AOR 1.44, 95% CI 1.30-1.61). Conclusion(s): Ad26.COV2.S and AZD1222 vaccines are well-tolerated, with primarily mild and few severe AE among adults living in Malawi. Self-report of AE following COVID-19 vaccine receipt is associated with gender, age, education, and concern about the safety of the vaccines. Recognizing these associations is key when designing and implementing COVID-19 vaccination communication messages to increase vaccination coverage.

How can messaging apps, WhatsApp and SMS be used to support learning? A scoping review

In response to disruption to education during the COVID-19 pandemic, mobile phone-based messaging has emerged in some instances as an accessible, low-connectivity way of promoting interactivity. However, no recent reviews have been undertaken in relation to how social media and messaging apps can be used to effectively support education in low- and middle-income countries. In this scoping review, 43 documents were identified for inclusion, and three main thematic areas emerged: supporting student learning (including interacting with peers and other students, peer tutoring and collaborative learning;and interacting with teachers, through content delivery, teaching and assessment);teacher professional development (including structured support and prompts, and informal communities of practice);and supporting refugee education. The discussion and findings are both of practical use, to inform responses to the current pandemic and designing initiatives in the future, and will also be useful for advancing research in this expanding field. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Impact of COVID-19 pandemic and its consequences on children's internet addiction and use of smartphone and tablet

BACKGROUND: Digital devices have represented a fundamental resource for maintaining communication relationships during the period of restrictive measures imposed by the COVID-19 pandemic. However it is evident that this period has contributed to increase the risks connected to the inappropriate use of digital devices. The aim of our study is to demonstrate how the COVID-19 pandemic and the consequent lockdown had an impact on children's use of digital devices. METHOD(S): One hundred and thirty children aged between six and 18 from Montalto di Castro were recruited in the study carried out in November 2020. All participants were asked to fill in two identical questionnaires: questions of the first questionnaire were related to the pre-lockdown period, while questions of the second questionnaire were related to the period between March and November 2020. RESULT(S): The average age of the 130 participants was 11.8+/-2 years. The amount of time spent by using digital devices is significantly lower in the pre-lockdown period than in the lockdown period (P<0.02). The smartphone addiction index is significantly lower in the pre-lockdown period (P<0.001). The analysis of headaches in the early morning hours - considered as one of the effects deriving from the use of the smartphone before sleeping - showed a statistically significant difference between the two groups (P<0.05). There are also significant differences related to physical activity and its frequency, with data showing the increase of children who did not perform physical activity (P<0.0001). CONCLUSION(S): This study does not only show a constant increase over time of the smartphone/tablet use, but also how the pandemic and social restrictions have worsened the phenomenon itself. This is particularly evident for the duration of exposure to screens, the addiction to smartphones, the quality of sleep and the practice of physical activity.Copyright © 2021 EDIZIONI MINERVA MEDICA.

Development of a national cystic fibrosis patient and caregiver experience of care survey

Background: Since 2015, the Cystic Fibrosis Foundation (CFF) has collected and reported experience-of-care (XoC) data. Data collection was discontinued with the onset of the COVID-19 pandemic in 2020. In 2021, CFF convened a steering committee of a person with cystic fibrosis (CF), caregivers, and clinicians to develop a XoC survey to help understand and improve the XoC at CFF accredited programs. Method(s): Using prior CFF patient and family XoC surveys (2015-2020 pediatric and adult versions) [1,2] and a telehealth survey created in 2020 [3], draft pediatric and adult versions of the survey were developed. The steering committee and CFF leaders conducted three rounds of reviewand revision. After the surveys were professionally translated into Spanish, and the CFF Spanish Speakers Committee reviewed them, the surveys were programmed into Qualtrics for data collection. The data collection process was piloted with selected programs before a national launch. Result(s): Pediatric and adult surveys were developed in English and Spanish. The surveys cover in-person and telehealth (phone/video) visits and visits that are a mix of in-person and telehealth. The topics include interactions with care team members, relationship-centered care, care planning, shared decision-making, overall quality of care, race and ethnicity, gender identity, infection, prevention and control, quality of the virtual connection, and experience with remote monitoring. People with CF (PwCF) and their families are invited to complete a survey once every 6 months by text or email. PwCF and family contact data (email and mobile phone number) are stored in CFF's CFSmartReports Patient and Family Tool. After a clinic visit, contact data are electronically transferred to the Qualtrics platform to trigger a survey invitation. Responses are anonymous and reported back to programs via an electronic dashboard in near-real time. The data collection process was tested with three pediatric and three adult care programs for 3 weeks before the national launch on October 25, 2021. More than 2,000 PwCF and their families have completed a survey. Conclusion(s): The new XoC surveys offer PwCF and their families an opportunity to share feedback about their in-person and virtual care experiences. Efforts are underway to create a national report for dissemination and to engage programs with the data reported in their dashboards to celebrate what PwCF and their families appreciate about their care and to work together with them to improve gaps.Copyright © 2022, European Cystic Fibrosis Society. All rights reserved

Improving the Well-being of Adolescents With Type 1 Diabetes During the COVID-19 Pandemic: Qualitative Study Exploring Acceptability and Clinical Usability of a Self-compassion Chatbot.

BACKGROUND: Before the COVID-19 pandemic, adolescents with type 1 diabetes (T1D) had already experienced far greater rates of psychological distress than their peers. With the pandemic further challenging mental health and increasing the barriers to maintaining optimal diabetes self-management, it is vital that this population has access to remotely deliverable, evidence-based interventions to improve psychological and diabetes outcomes. Chatbots, defined as digital conversational agents, offer these unique advantages, as well as the ability to engage in empathetic and personalized conversations 24-7. Building on previous work developing a self-compassion program for adolescents with T1D, a self-compassion chatbot (COMPASS) was developed for adolescents with T1D to address these concerns. However, the acceptability and potential clinical usability of a chatbot to deliver self-compassion coping tools to adolescents with T1D remained unknown. OBJECTIVE: This qualitative study was designed to evaluate the acceptability and potential clinical utility of COMPASS among adolescents aged 12 to 16 years with T1D and diabetes health care professionals. METHODS: Potential adolescent participants were recruited from previous participant lists, and on the web and in-clinic study flyers, whereas health care professionals were recruited via clinic emails and from diabetes research special interest groups. Qualitative Zoom (Zoom Video Communications, Inc) interviews exploring views on COMPASS were conducted with 19 adolescents (in 4 focus groups) and 11 diabetes health care professionals (in 2 focus groups and 6 individual interviews) from March 2022 to April 2022. Transcripts were analyzed using directed content analysis to examine the features and content of greatest importance to both groups. RESULTS: Adolescents were broadly representative of the youth population living with T1D in Aotearoa (11/19, 58% female; 13/19, 68% Aotearoa New Zealand European; and 2/19, 11% Maori). Health care professionals represented a range of disciplines, including diabetes nurse specialists (3/11, 27%), health psychologists (3/11, 27%), dieticians (3/11, 27%), and endocrinologists (2/11, 18%). The findings offer insight into what adolescents with T1D and their health care professionals see as the shared advantages of COMPASS and desired future additions, such as personalization (mentioned by all 19 adolescents), self-management support (mentioned by 13/19, 68% of adolescents), clinical utility (mentioned by all 11 health care professionals), and breadth and flexibility of tools (mentioned by 10/11, 91% of health care professionals). CONCLUSIONS: Early data suggest that COMPASS is acceptable, is relevant to common difficulties, and has clinical utility during the COVID-19 pandemic. However, shared desired features among both groups, including problem-solving and integration with diabetes technology to support self-management; creating a safe peer-to-peer sense of community; and broadening the representation of cultures, lived experience stories, and diabetes challenges, could further improve the potential of the chatbot. On the basis of these findings, COMPASS is currently being improved to be tested in a feasibility study.

Health-Seeking Behavior and Its Associated Technology Use: Interview Study Among Community-Dwelling Older Adults.

BACKGROUND: Understanding older people's health-seeking behavior (HSB) is crucial for uncovering their health needs and priorities and developing appropriate policies to address them and avert their disease progression. Technologies play an active role in our daily lives and have been incorporated into health activities to support the older population and facilitate their HSB. However, previous studies of HSB have mainly focused on behaviors during illness, and there are limited studies on how technologies have been used in older people's health-seeking activities. OBJECTIVE: This study aimed to investigate HSB and the associated technology use among the older population, ultimately proposing implications for practice to address their unmet health needs. METHODS: This paper presents partial data from a large qualitative study, which has been approved by the institutional review board and used a phenomenological approach. Semistructured interviews were conducted between April 2022 and July 2022, either via Zoom (Zoom Video Communications Inc) or face-to-face sessions. Inclusion criteria were being aged ≥50 years, long-term residence in Singapore, and being able to speak English or Mandarin. The interviews were manually transcribed verbatim, and thematic analysis was performed, with the individual as the unit of analysis to understand the patterns of behaviors. RESULTS: In total, 15 interviews were conducted to reach thematic saturation. We identified 5 main consequences of HSB, which were aligned with the original HSB model. Regarding technology use in health seeking, 4 themes were extracted: the most widely used digital technologies are the mobile health apps and wearable devices with the associated wellness programs launched by the government and local companies, and they have the potential to enhance health communication, promote health maintenance, and increase access to health services; information communication technologies and social media, though not primarily designed for health purposes, play a substantial role in easing the process of seeking health information and managing symptoms. Although the outbreak of the COVID-19 pandemic has resulted in some alterations to older adults' well-being, it has catalyzed the adoption of telehealth as a complement to access health care services, and older adults have different considerations when selecting technologies to facilitate their health seeking and fulfill their health needs. Moreover, 4 archetypes were proposed based on our findings and the insights gained from our participants' observations in their social networks. These findings led to several implications for practice regarding health communication and promotion, health education, technology design and improvement, telemonitoring service implementation, and solutions to address the needs of each proposed archetype. CONCLUSIONS: Unlike the commonly held belief that older adults resist technologies and lack technological proficiency, our findings showed that technologies could play a promising role in facilitating older adults' health seeking. Our findings have implications for the design and implementation of health services and policies.