Spatial and social disparities in the decline of activities during the COVID-19 lockdown in Greater London.

We use data on human mobility obtained from mobile applications to explore the activity patterns in the neighbourhoods of Greater London as they emerged from the first wave of COVID-19 lockdown restrictions during summer 2020 and analyse how the lockdown guidelines have exposed the socio-spatial fragmentation between urban communities. The location data are spatially aggregated to 1 km2 grids and cross-checked against publicly available mobility metrics (e.g. Google COVID-19 Community Report, Apple Mobility Trends Report). They are then linked to geodemographic classifications to compare the average decline of activities in the areas with different sociodemographic characteristics. We found that the activities in the deprived areas dominated by minority groups declined less compared to the Greater London average, leaving those communities more exposed to the virus. Meanwhile, the activity levels declined more in affluent areas dominated by white-collar jobs. Furthermore, due to the closure of non-essential stores, activities declined more in premium shopping destinations and less in suburban high streets.

PREDICTING PILGRIM AND VISITOR SATISFACTION THROUGH USING SMARTPHONE APPLICATIONS AT HOLY SITES DURING COVID-19

This study aims to investigate the promotion of digital transformation in Umrah and Visitation through the management of smartphone applications (such as Tawakkalna and Nusuk) in light of COVID-19. The research measures the impact of digital transformation on visits during COVID-19, in light of the Kingdom's Vision 2030 statement, in terms of pilgrims' and visitors' satisfaction with the services provided in Madinah. The study relied on the descriptive analytical approach to collect and analyse primary and secondary data as the basis for research findings. An electronic questionnaire was designed and distributed to pilgrims and visitors in Madinah. The study found a positive significant impact of digital transformation on visits during COVID-19 in light of the Kingdom's Vision 2030 statement and pilgrims' and visitors' satisfaction with the services provided to them. The study recommends that decisionmakers and employers emphasize the need to use Smartphone applications in Hajj and Umrah visits even after the end of the Corona crisis. Applications were found to be critically important in limiting the spread of the virus. There is a need for continuous improvements in digital transformation in Hajj, Umrah and visits. © Author(s) 2022.

An age-old problem or an old-age problem? A UK survey of attitudes, historical use and recommendations by healthcare professionals to use healthcare apps.

BACKGROUND: The coronavirus pandemic has exacerbated barriers to accessing face-to-face care. Consequently, the potential for digital health technologies (DHTs) to address unmet needs has gained traction. DHTs may circumvent several barriers to healthy independent living, resulting in both socioeconomic and clinical benefits. However, previous studies have demonstrated these benefits may be disproportionately realised among younger populations while excluding older people. METHODS: We performed a prospective survey using the One Poll market research platform among 2000 adults from the United Kingdom. To mitigate against self-selection bias, participants were not informed of the topic of the survey until they had completed recruitment. We compared willingness to use and historical use of health-apps, in addition to recommendations to use health-apps from healthcare professionals; comparing outcomes across all age groups, including a reference group (n = 222) of those aged 18-24. Outcomes were analysed using multivariate logistic regression and reported as odds ratios (OR) with respondent age, ethnicity, gender, and location as covariates. RESULTS: Willingness to use health-apps decreased significantly with age, reaching a minimum (OR = 0.39) among those aged 65 and over compared to the reference group of 18-24 year olds. Despite this, more than 52% of those aged 65 and over were willing to use health-apps. Functions and features most cited as useful by older populations included symptom self-monitoring and surgery recovery assistance. The likelihood of never having used a health-app also increased consistently with age, reaching a maximum among those aged 65 and over (OR = 18.3). Finally, the likelihood of being recommended health-apps by a healthcare professional decreased significantly with age, (OR = 0.09) for those aged 65 and over. In absolute terms, 33.8% of those aged 18-24, and 3.9% of those aged 65 and over were recommended health-apps by their healthcare professionals. CONCLUSION: Although absolute utilisation of health-apps decreases with age, the findings of this study suggest that the gap between those willing to use health-apps, and those being recommended health-apps by healthcare professionals increases with age. Given the increasing availability of evidence-based health-apps designed for older populations, this may result in entirely avoidable unmet needs, suggesting that more should be done by healthcare professionals to recommend health-apps to older persons who are generally positive about their use. This may result in considerable improvements in healthy and independent ageing.

How to Manage Suicidal Risk at Digital Distance

Suicide prevention remains very difficult to achieve for many reasons, notably because we do not have any indicator of risk prediction, short-term risk factors being little explored, and evaluations being retrospective they are biased. Furthermore, patients at risk are not followed up, because of their lack of confidence in care, stigma, shame. On the other hand, the gap observed during the covid19 pandemic between distress and less occurrence of suicides could be linked to more virtual contacts. Then, the smartphone might be a good tool to stay connected to a protective network. We will discuss the opportunity offered by the smartphone to monitor patients with ecological momentary assessment, allowing to better characterize their acute states and detect an increased risk in real time, and thanks to the ecological momentary intervention 24/7 availability, improve access to care and better coordinate resources, and encourage self-care. These tools while offering new solutions for an efficient real time suicide prevention, may also raise some ethical issues that should be addressed.

Designing evaluation framework for the empirical assessment of COVID-19 mobile apps in Pakistan.

The significant proliferation in the mobile health applications (Apps) amidst Coronaviruses disease 2019 (COVID-19) resulted in decision making problems for healthcare professionals, decision makers and mobile users in Pakistan. This decision making process is also hampered by mobile app trade-offs, multiple features support, evolving healthcare needs and varying vendors. In this regard, evaluation model for mobile apps is presented which completes in three different phases. In first phase, features-based criteria is designed by leveraging Delphi method, and twenty (20) mobile apps are selected from app stores. In second stage, empirical evaluation is performed by using hybrid multi criteria decision approaches like CRiteria Importance Through Inter-criteria Correlation (CRITIC) method has been used for assigning weights to criteria features; and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method has been used for assessment of mobile app alternatives. In last step, decision making is performed to select the best mobile app for COVID-19 situations. The results suggest that proposed model can be adopted as a guideline by mobile app subscribers, patients and healthcare professionals.

Smartphone applications for sleep tracking: rating and perceptions about behavioral change among users.

Introduction: This study aims to assess existing sleep apps for mobile phones to determine the perceived effect of these applications on user's attitudes, knowledge, willingness to change, and its likelihood to change behavior from a user's perspective. Material and Methods: A systematic search was conducted through Google play store and iTunes Apple store using terms related to sleep tracking. Apps were evaluated using Mobile Application Rating Scale (MARS) tool for assessing and classifying mobile health applications quality. Additionally, a convenience sample of subjects were asked to evaluate the included apps for perceived sleep behavior changes. Results: The average MARS app quality score on a 5-point scale was 3.3. Between 30-50% of participants believed that sleep tracker apps are likely to increase awareness about sleep patterns and sleep hygiene, infuence sleep hygiene habits, and are likely to encourage help seeking for sleep hygiene when required. Conclusion: Apps available for sleep self-management and tracking may be valuable tools for self-management of sleep disorder and/or improving sleep quality, yet they require improvement in terms of quality and content, highlighting the need for further validity studies.

COVID-19 contact-tracing smartphone application usage-The New Zealand COVID Tracer experience.

Contact tracing has been a central pillar of the nonpharmaceutical health system response to the COVID-19 pandemic. Countries around the world have devoted unprecedented levels of resources to build up their testing and tracing capabilities, including the development and deployment of smartphone-based applications. Yet despite these nontrivial investments, the body of academic literature evaluating the effects of the smartphone-based applications remains scant and many apps have not delivered the promised benefits (Bano et al. 2021). We contribute to this body of empirical evidence by analysing data on uptake and usage of New Zealand's QR code-based application New Zealand COVID Tracer (NZCT). Our paper uses descriptive statistics and regression analysis to focus on the likelihood of an individual registering to use the application, the likelihood that a registered user will use the application to scan QR codes, and the extent of that usage, measured as the number of codes scanned daily. In addition, we take advantage of the "natural experiment" offered by the decision in August 2021 following the establishment of endemic community transmission of COVID-19 to make use of the application mandatory from 7 September 2021 to assess the effect of this policy on usage. We find that despite increasing numbers of individuals downloading the application over time, the number of active devices and scanning activity was very low, even when community outbreaks occurred (i.e. actual infection risk was higher). Mandating use (separate and distinct from increased infection risk) led to an increase in the number of scans in total via an increase in the number of active devices only.

Smartphone as a Disease Screening Tool: A Systematic Review.

Disease screening identifies a disease in an individual/community early to effectively prevent or treat the condition. COVID-19 has restricted hospital visits for screening and other healthcare services resulting in the disruption of screening for cancer, diabetes, and cardiovascular diseases. Smartphone technologies, coupled with built-in sensors and wireless technologies, enable the smartphone to function as a disease-screening and monitoring device with negligible additional costs and potentially higher quality results. Thus, we sought to evaluate the use of smartphone applications for disease screening and the acceptability of this technology in the medical and healthcare sectors. We followed a systematic review process using four databases, including Medline Complete, Web of Science, Embase, and Proquest. We included articles published in English examining smartphone application utilisation in disease screening. Further, we presented and discussed the primary outcomes of the research articles and their statistically significant value. The initial search yielded 1046 studies for the initial title and abstract screening. Of the 105 articles eligible for full-text screening, we selected nine studies and discussed them in detail under four main categories: an overview of the literature reviewed, participant characteristics, disease screening, and technology acceptance. According to our objective, we further evaluated the disease-screening approaches and classified them as clinically administered screening (33%, n = 3), health-worker-administered screening (33%, n = 3), and home-based screening (33%, n = 3). Finally, we analysed the technology acceptance among the users and healthcare practitioners. We observed a significant statistical relationship between smartphone applications and standard clinical screening. We also reviewed user acceptance of these smartphone applications. Hence, we set out critical considerations to provide equitable healthcare solutions without barriers when designing, developing, and deploying smartphone solutions. The findings may increase research opportunities for the evaluation of smartphone solutions as valid and reliable screening solutions.

The Reliability os SmartPhone Applications for Remote Health Management in the Context of COVID-19

The unfolding of the Covid 19 Global Crisis directly impacted healthcare organizations around the world, leveraging technological innovations focused on care and remote medical monitoring, being important tools for crisis management. This study aims to determine the existence of a causal relationship between the level of education and users’ trust in smartphone health applications in the context of Covid 19. From the triangulation of primary data, the literature review, and the survey of secondary statistical data, it was possible to realize that there is no positive relationship between the level of education of smartphone users and the reliability imposed on mobile solutions made available by public and private agencies, as well as collaborative devices, which encourages the characterization of the potentiality and accessibility of this instrument for remote health management in times of sanitary restrictions on social contact. © 2021, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

The effectiveness of automated digital health solutions at successfully managing obesity and obesity-associated disorders: A PICO-structured investigation.

Most adults in the UK and USA are classified as overweight or obese. Recent studies suggest that the prevalence of obesity has further increased during the SARS-CoV-2 pandemic and associated lockdowns. Digital technologies may be effective at managing obesity and related comorbidities, a potential further justified by social isolation and distancing circumstances. This review of published literature employed a Patient-Intervention-Comparison-Outcome structured approach on the use of digital solutions to determine the effectiveness of their use in the management and treatment of obesity, hypertension, and type 2 diabetes and included commercially available, automated devices and applications that did not require intervention from a clinician. Our search covered studies published between January 2004 and February 2019, and 18 papers were included in the final analysis. The digital solutions reviewed were smartphone applications, wearable activity trackers, and 'digital medicine offerings' (DMO), including ingestible sensors and wearable patches. This study found that not all interventions were effective at encouraging the lifestyle changes required for the management of obesity. Smartphone applications requiring interaction from the patient appeared to be more effective at encouraging engagement with treatment interventions than more passive wearable activity trackers. Automated feedback from smartphone applications was effective at managing type 2 diabetes, while DMO were effective at reducing blood pressure. With the advancement of new technologies alongside a rapid increase in the prevalence of obesity and associated disorders, further studies comparing the various technologies available in larger sample populations for longer periods would help determine the most cost-effective preventive and therapeutic strategies.

Application of Smartphone Technologies in Disease Monitoring: A Systematic Review.

Technologies play an essential role in monitoring, managing, and self-management of chronic diseases. Since chronic patients rely on life-long healthcare systems and the current COVID-19 pandemic has placed limits on hospital care, there is a need to explore disease monitoring and management technologies and examine their acceptance by chronic patients. We systematically examined the use of smartphone applications (apps) in chronic disease monitoring and management in databases, namely, Medline, Web of Science, Embase, and Proquest, published from 2010 to 2020. Results showed that app-based weight management programs had a significant effect on healthy eating and physical activity (p = 0.002), eating behaviours (p < 0.001) and dietary intake pattern (p < 0.001), decreased mean body weight (p = 0.008), mean Body Mass Index (BMI) (p = 0.002) and mean waist circumference (p < 0.001). App intervention assisted in decreasing the stress levels (paired t-test = 3.18; p < 0.05). Among cancer patients, we observed a high acceptance of technology (76%) and a moderately positive correlation between non-invasive electronic monitoring data and questionnaire (r = 0.6, p < 0.0001). We found a significant relationship between app use and standard clinical evaluation and high acceptance of the use of apps to monitor the disease. Our findings provide insights into critical issues, including technology acceptance along with regulatory guidelines to be considered when designing, developing, and deploying smartphone solutions targeted for chronic patients.

Parental Home Vision Testing of Children During Covid-19 Pandemic.

BACKGROUND: The Covid-19 pandemic necessitated social distancing restrictions, which placed limitations on access to ophthalmic care to only those who had an imminent risk of sight loss. All other face-to-face consultations were converted to telephone consultations or were postponed. We investigated whether parents were able to test their child's vision using available home vision testing applications, with an aim to aid decision making during a telephone consultation. METHODS: Families with follow-up consultations at Birmingham Children's Hospital were asked to test their child's vision at home. Instructions for the use of Peek acuity, or iSight Pro, were emailed to a parent. Parents chose to use a particular app based on available devices at home. Parents were asked to test uniocular visual acuity twice. Home versus hospital acuity was correlated. Home acuity test-retest reliability was acquired. Parental feedback was obtained through questionnaires. RESULTS: One hundred and three families were contacted, 15 families completed home vision testing. Ten families used Peek acuity, five families used iSight Pro. Uniocular visual acuity test-retest reliability was 0.03 LogMAR. Home-hospital acuity testing had a bias of 0.14 LogMAR, hospital acuity yielding a lower LogMAR score. Most families who completed testing found it easy to do; however, some struggled, and 81 families did not undertake home vision testing. CONCLUSIONS: Uptake of home vision testing was limited by parental engagement, most likely influenced by the current pandemic. Most families who undertook home vision testing were able to generate results that could be used for clinical decision making. Extending the impact of parental vision testing will require education by clinicians and further study to increase sample sizes and to improve confidence.

Quick overview of diagnostic kits and smartphone apps for urologists during the COVID-19 pandemic: a narrative review.

The COVID-19 pandemic was an unprecedented event that has caused incredible challenges in all areas of society. However, unlike previous global pandemics, modern advancements in technology and medicine have made it possible to respond much more rapidly. Within months, countries around the world developed diagnostic kits and smartphone applications to tackle the virus. Many of these diagnostic kits vary in what they target and have different uses. Smartphone applications have been developed to provide real-time information to users regarding potential exposure, statistics, updated news, etc. Depending on the country, resources and government policies have created a wide range of products and applications. This narrative review paper focuses on providing a general overview of diagnostic kits and smartphone applications in three major countries, the U.S., South Korea, and China. Smartphone applications were used for tracing person-to-person contact and preventing the spread of COVID-19. These tools allowed public health officials to quickly identify people who may have had exposure to COVID-19 and allows them to act accordingly. In addition to discussing the mechanisms behind diagnostic kits, topics in legislation and policy for contact tracing will also be discussed. As nations enter into the next phase of the pandemic, there are serious considerations to be made about how technology can be integrated into handling future healthcare crises.