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1.
Journal of Nursing Management ; n/a(n/a), 2022.
Article in English | Wiley | ID: covidwho-1819919

ABSTRACT

Aim To investigate eHealth literacy about COVID-19 among older adults during the pandemic. Background The coronavirus disease 2019 (COVID-19) pandemic promoted the development of online healthcare. Higher demand for accessing information from the Internet was seen. Methods This was a sequential explanatory mixed-method study, involving a survey of older adults to explore the status and influencing factors of eHealth literacy regarding COVID-19. Semi-structured interviews were used understand experiences and challenges regarding information retrieval, judgment and utilization. Results A total of 337 older adults participated in the online questionnaire survey. Overall, older adults had slightly higher scores on eHealth literacy during the COVID-19 pandemic. Participants? location in the past month and current health issues were associated with eHealth literacy. Qualitative data were collected from nine older adults and included that some older adults retrieved health-related information during the pandemic. However, those who used non-smartphones described difficulties in information retrieval. A glut of misinformation has resulted in an ?infodemic? which has not only increased the difficulty of judging information, but also posed challenges in information utilization for older adults. Conclusion Improving older adults? eHealth literacy is essential in promoting an improved response to major public health events and in providing better healthcare for this group in the future. It is essential that government health agencies and healthcare providers to provide evidence-based health information via social media platforms. Further efforts are needed to combine aspects of traditional and online healthcare services, and provide reliable and updated online information and resources for older adults. Implications for Nursing Management Mobilizing health care providers to provide health management for older adults in the context of public health events to meet the health needs of them.

2.
JMIR Medical Informatics ; 10(4), 2022.
Article in English | Scopus | ID: covidwho-1817835

ABSTRACT

Background: Enabling the use of spatial context is vital to understanding today's digital health problems. Any given location is associated with many different contexts. The strategic transformation of population health, epidemiology, and eHealth studies requires vast amounts of integrated digital data. Needed is a novel analytical framework designed to leverage location to create new contextual knowledge. The Geospatial Analytical Research Knowledgebase (GeoARK), a web-based research resource has robust, locationally integrated, social, environmental, and infrastructural information to address today's complex questions, investigate context, and spatially enable health investigations. GeoARK is different from other Geographic Information System (GIS) resources in that it has taken the layered world of the GIS and flattened it into a big data table that ties all the data and information together using location and developing its context. Objective: It is paramount to build a robust spatial data analytics framework that integrates social, environmental, and infrastructural knowledge to empower health researchers' use of geospatial context to timely answer population health issues. The goal is twofold in that it embodies an innovative technological approach and serves to ease the educational burden for health researchers to think spatially about their problems. Methods: A unique analytical tool using location as the key was developed. It allows integration across source, geography, and time to create a geospatial big table with over 162 million individual locations (X-Y points that serve as rows) and 5549 attributes (represented as columns). The concept of context (adjacency, proximity, distance, etc) is quantified through geoanalytics and captured as new distance, density, or neighbor attributes within the system. Development of geospatial analytics permits contextual extraction and investigator-initiated eHealth and mobile health (mHealth) analysis across multiple attributes. Results: We built a unique geospatial big data ecosystem called GeoARK. Analytics on this big table occur across resolution groups, sources, and geographies for extraction and analysis of information to gain new insights. Case studies, including telehealth assessment in North Carolina, national income inequality and health outcome disparity, and a Missouri COVID-19 risk assessment, demonstrate the capability to support robust and efficient geospatial understanding of a wide spectrum of population health questions. Conclusions: This research identified, compiled, transformed, standardized, and integrated multifaceted data required to better understand the context of health events within a large location-enabled database. The GeoARK system empowers health professionals to engage more complex research where the synergisms of health and geospatial information will be robustly studied beyond what could be accomplished today. No longer is the need to know how to perform geospatial processing an impediment to the health researcher, but rather the development of how to think spatially becomes the greater challenge. © 2022 JMIR Publications Inc.. All right reserved.

3.
24th International Symposium on Wireless Personal Multimedia Communication (WPMC) - Paving the Way for Digital and Wireless Transformation ; 2021.
Article in English | Web of Science | ID: covidwho-1816487

ABSTRACT

Outbreak of coronavirus (COVID-19) has resulted in lockdowns and many healthcare systems around the world getting overwhelmed. In time of pandemic, Internet of Things (IoT) and, especially, Internet of Medical Things (IoMT) can be leveraged to ease the strain put onto local hospitals and healthcare providers through preventive medicine and telemedicine. This paper offers state-of-the-art review of current use of Internet of Things within healthcare systems in the context of tackling COVID-19. It also suggests future research for battling COVID-19 through IoT, using it for purposes such as social distancing, contact tracing, health monitoring, and early diagnosing.

4.
Psychotherapeut (Berl) ; : 1-15, 2021 Aug 25.
Article in German | MEDLINE | ID: covidwho-1813661

ABSTRACT

BACKGROUND: As a result of the contact ban issued at the beginning of the coronavirus disease 2019 (COVID-19) outbreak in March 2020, psychotherapists provided significantly more video-based therapy (VBT) and most of them provided it the first time. To date, there is little research on how therapists experienced VBT during the pandemic and no studies are available that look at possible procedure-specific features. OBJECTIVE: The aim was to analyze what subjective experiences therapists of different guideline procedures had with the implementation of VBT in times of the COVID 19 pandemic and what advantages and disadvantages they experienced. METHODS: This was a mixed methods study with a cross-sectional online survey. In addition to quantitative data, seven open-ended questions were used to collect therapists' subjective experiences with conducting VBT and analyzed using qualitative content analysis. The identified categories were subjected to a frequency analysis. Data from 174 medical or psychological psychotherapists were included in the analysis. RESULTS: Particularly frequently mentioned advantages were flexibility of location and time, continuity of contact during pandemic periods and avoidance of risk of infection. The most commonly cited disadvantage was the lack of sensory input, facial expressions, gestures, eye contact, and nonverbal communication. The VBT was well-accepted by most, but not all, patients. Technical problems made the implementation difficult. CONCLUSION: For many therapists VBT remained a stopgap solution that was not designed to last; however, VBT could help to solve known care problems (e.g., underprovision in rural areas) beyond the pandemic period. The results of the study make an important contribution to weighing up the opportunities and risks of VBT for psychotherapeutic care and for keeping an eye on possible dangers and difficulties.

5.
Healthcare ; 10(4):698, 2022.
Article in English | ProQuest Central | ID: covidwho-1809821

ABSTRACT

People at risk of suicide tend to be isolated and cannot share their thoughts. For this reason, suicidal ideation monitoring becomes a hard task. Therefore, people at risk of suicide need to be monitored in a manner capable of identifying if and when they have a suicidal ideation, enabling professionals to perform timely interventions. This study aimed to develop the Boamente tool, a solution that collects textual data from users’ smartphones and identifies the existence of suicidal ideation. The solution has a virtual keyboard mobile application that passively collects user texts and sends them to a web platform to be processed. The platform classifies texts using natural language processing and a deep learning model to recognize suicidal ideation, and the results are presented to mental health professionals in dashboards. Text classification for sentiment analysis was implemented with different machine/deep learning algorithms. A validation study was conducted to identify the model with the best performance results. The BERTimbau Large model performed better, reaching a recall of 0.953 (accuracy: 0.955;precision: 0.961;F-score: 0.954;AUC: 0.954). The proposed tool demonstrated an ability to identify suicidal ideation from user texts, which enabled it to be experimented with in studies with professionals and their patients.

6.
Health Education ; 122(4):469-489, 2022.
Article in English | ProQuest Central | ID: covidwho-1806811

ABSTRACT

Purpose>This study aims to understand the eHealth literacy skills of chronic patients and to explore the relations, patterns between eHealth literacy skills and different factors such as demographics, search strategies and health information sources and to explain their effects on eHealth literacy in Turkey in Izmir in COVID-19 outbreak.Design/methodology/approach>A quantitative method was used in the study including a questionnaire. A total of 604 chronic patients responded to the questionnaire who applied the five popularly identified hospitals in Izmir in Turkey. CHAID analysis method was implemented to explore the strongest correlation between eHealth literacy and independent variables.Findings>Using different social media types were correlated with patients’ eHealth literacy scores. Using Facebook, Twitter were the supportive predictors for the eHealth literacy scores. However, digital literacy was highly important for eHealth literacy.Originality/value>This study shows that the social media channels which provides much more information such as Facebook and Twitter for the chronic patient. This could be beneficial for the eHealth tools and social media content developers in terms of the supply of health information. Moreover, the study gives ideas about the effect of digital literacy and the importance of health information provided.

7.
Business Process Management Journal ; 28(1):273-292, 2022.
Article in English | ProQuest Central | ID: covidwho-1806789

ABSTRACT

Purpose>This paper aims to introduce the goal-oriented requirements extraction approach (GOREA). It is an elicitation approach that uses, specifically, healthcare business goals to derive the requirements of e-health system to be developed.Design/methodology/approach>GOREA consists of two major phases: (1) modelling e-health business requirements phase and (2) modelling e-health information technology (IT) and systems requirements phase. The modelling e-health business requirements phase is divided into two main stages: (1) model e-health business strategy stage and (2) model e-health business environment stage. The modelling e-health IT and systems requirements phase illustrates the process of obtaining requirements of e-health system from the organizational goals that are determined in the previous phase. It consists of four main steps that deal with business goals of e-health system: (1) modelling e-health business process (BP) step;(2) modelling e-health business goals step;(3) analysing e-health business goals step;and (4) eliciting e-health system requirements step. A case study based on the basic operations and services in hospital emergency unit for checking patient against COVID-19 virus and taking its diagnostic testing has been set and used to examine the validity of the proposed approach by achieving the conformance of the developed system to the business goals.Findings>The results indicate that (1) the proposed GOREA has a positive influence on the system implementation according to e-health business expectations;and (2) it can successfully fulfil the need of e-health business in order to save the citizens life by checking them against COVID-19 virus.Research limitations/implications>The proposed approach has some limitations. For example, it is only validated using one e-health business goal and thus it has to be authenticated with different e-health business goals in order to address different e-health problems.Originality/value>Many e-health projects and innovations are not established based on robust system requirements engineering phase. In order to ensure the success delivery of e-health services, all characteristics of e-health systems and applications must be understood in terms of technological perspectives as well as the all system requirements.

8.
Journal of Affective Disorders ; 2022.
Article in English | ScienceDirect | ID: covidwho-1804389

ABSTRACT

Background At present, few studies have explored the mediating effect of e-Health literacy and self-efficacy on prevention cognition and healthy lifestyle behaviors during the normalization stage of COVID-19 prevention and control. This study aimed to determine the associations among COVID-19-related prevention cognition, self-efficacy, e-Health literacy, and healthy lifestyle behaviors at university students. Methods By using a stratified cluster random sampling method, 971 students from five universities were recruited between May and August 2021 in Guangzhou, China. We collected participants' demographic characteristics, and assessed self-efficacy, COVID-19-related prevention cognition, e-Health literacy, and healthy lifestyle behaviors. A structural equation model was used for mediation analysis. Results The overall mean value of healthy lifestyle behaviors of college students was 0.307 (SD 0.389). Between COVID-19-related prevention cognition, e-Health literacy, self-efficacy, and healthy lifestyle behaviors (r = 0.132–0.505, P < 0.01) were a significant positive correlation. The COVID-19-related prevention cognition had a direct and positive predictive effect on healthy lifestyle behaviors, with a direct effect value of 0.136. e-Health literacy and self-efficacy played both an independent mediating and serial-multiple mediating roles in the association between COVID-19-related prevention cognition and healthy lifestyle behaviors, and the indirect effect values were 0.043, 0.020 and 0.035, respectively. Conclusions The results showed that the emphasis on improving college students' prevention cognition, supplemented by improving e-Health literacy and self-efficacy, could improve college students' healthy lifestyle behaviors. Limitations This study was a cross-sectional investigation with no causal relationship between variables.

9.
Gynecologic Oncology Reports ; : 100986, 2022.
Article in English | ScienceDirect | ID: covidwho-1804125

ABSTRACT

Objective To describe the use of telemedicine in gynecologic oncology and identify patient characteristics associated with telemedicine use during COVID-19. Methods Single-institution retrospective chart review of patients with gynecologic cancer who participated in in-person and telemedicine visits (video and telephone) from January 2019 to November 2020. Patient characteristics, visit and treatment characteristics were collected. Comparisons between 2019 and 2020 and between in-person and telemedicine visits were performed. Cancer-specific visit details were described. Results From January to November 2020, 2,039 patients attended 5,240 ambulatory visits in our gynecologic oncology outpatient clinics with 4,304 (82.1%) in-person visits, 512 (9.8%) video telemedicine visits, and 424 (8.1%) telephone visits. In 2020, 936 (45.9%) patients participated in a telemedicine visit. Demographic characteristics did not differ between those who participated in any telemedicine versus in-person visits (p>0.05). Black patients represented a larger share of telephone visits but this was not significant. Patients aged > 65 years were more likely to use the telephone for a visit and less likely to use video visits compared to their younger counterparts. The majority of patients who attended a telemedicine visit also attended a visit in-person (88.0%). The most common purpose of the telemedicine visits was to discuss results and/or treatment plans (46%) with other appointments occurring for treatment check-ins and clinical trials. Conclusions The use of telemedicine drastically increased in 2020. Patient demographics were not different between in-person and telemedicine visits except that older patients were more likely to use telephone visits over video visits. Telemedicine can be used for a variety of care needs in gynecologic oncology but further work needs to be done to optimize implementation, assess cost-effectiveness and patient outcomes.

10.
Journal of Medical Internet Research Vol 23(8), 2021, ArtID e29268 ; 23(8), 2021.
Article in English | APA PsycInfo | ID: covidwho-1801332

ABSTRACT

Background: Corona contact tracing apps are a novel and promising measure to reduce the spread of COVID-19. They can help to balance the need to maintain normal life and economic activities as much as possible while still avoiding exponentially growing case numbers. However, a majority of citizens need to be willing to install such an app for it to be effective. Hence, knowledge about drivers for app uptake is crucial. Objective: This study aimed to add to our understanding of underlying psychological factors motivating app uptake. More specifically, we investigated the role of concern for one's own health and concern to unknowingly infect others. Methods: A two-wave survey with 346 German-speaking participants from Switzerland and Germany was conducted. We measured the uptake of two decentralized contact tracing apps officially launched by governments (Corona-Warn-App, Germany;SwissCovid, Switzerland), as well as concerns regarding COVID-19 and control variables. Results: Controlling for demographic variables and general attitudes toward the government and the pandemic, logistic regression analysis showed a significant effect of self-focused concerns (odds ratio [OR] 1.64, P = .002). Meanwhile, concern of unknowingly infecting others did not contribute significantly to the prediction of app uptake over and above concern for one's own health (OR 1.01, P = .92). Longitudinal analyses replicated this pattern and showed no support for the possibility that app uptake provokes changes in levels of concern. Testing for a curvilinear relationship, there was no evidence that "too much" concern leads to defensive reactions and reduces app uptake. Conclusions: As one of the first studies to assess the installation of already launched corona tracing apps, this study extends our knowledge of the motivational landscape of app uptake. Based on this, practical implications for communication strategies and app design are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

11.
SSRN; 2022.
Preprint in English | SSRN | ID: ppcovidwho-333473

ABSTRACT

The purpose - A critical analysis of the main literature contributions dealing with the digital transformation of social subsystems in COVID-19, focusing on digital government system innovations. According to the current research, the following research questions have been prepared: What state-of-the-art approaches and solutions emerged in the COVID-19 period (or increased digitalisation) and will be a key socio-technological factor in future development digitalisation of urban (smart) ecosystems? Design/methodology/approach - The automated content analysis was provided with the software Leximancer 5.0. The authors prepared a topic analysis function to determine the most frequent topics and contents and use the automated content analysis's extraction of statistically manipulative information about the presence, intensity, and/or frequency of thematic and/or stylistic features of texts. Findings - It is expected that the emergence of a cyber-physical ecosystem will arrive soon, with smart communities having an important impact on changing the existing approaches, for example, learning, medical treatment, and smart governance. Originality/value - The chapter presents the possible changes in the post-COVID-19 world, which will accelerate processes for the emergence of the technological advanced urban environment and will be based on the outgoing digitalisation of processes. Furthermore, the chapter aims to present new knowledge based on the current findings of the future possible interaction between the citizens and governance (from communication to decision making and self-governance tools). The issue of citizens' trust in sharing their data with public infrastructure is also addressed. Research/ Practical/ Social/ Environment implications - The COVID-19 outbreak caused massive disruption to the industry and urban social ecosystems. The pandemic impacted drivers of a nation's economy and caused changes, such as the emergence of remote working, a bike-riding spike, different smart city projects were postponed or re-aligned, and technological projects aimed at protecting against COVID-19 have been given priority. Attention must also be paid to smart technologies, such as contact tracing and surveillance tools, raising concerns about privacy and human rights. Research limitations - The particular research limitation of the chapter is that the authors used a mixed-method for literature content research

12.
15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) / 15th International Conference on Biomedical Electronics and Devices (BIODEVICES) ; : 84-93, 2022.
Article in English | Web of Science | ID: covidwho-1798806

ABSTRACT

As part of the Internet of Medical Things (IoMT) within Biomedical Engineering, telehealth is an emerging field. Due to the recent events surrounding COVID-19, it has become obvious that Telehealth treatments must be developed as a means of protecting vulnerable patients in hospitals by reducing the need to visit and therefore reducing risk to physicians. This paper investigates the feasibility of developing a non-invasive remote neuro-stimulation system using internet-based transcranial Direct Current Stimulation (tDCS). A hardware-based prototype tDCS device has been developed to be controlled using a remote command-line interface over the internet. As a result, a physician can remotely set the parameters for the tDCS treatment and monitor the treatment in real-time to ensure patient safety. In this study, the feasibility of a Tele-tDCS system was investigated, as well as the capabilities a Tele-tDCS system should offer to patients.

13.
Lecture Notes on Data Engineering and Communications Technologies ; 130:1-10, 2022.
Article in English | Scopus | ID: covidwho-1797692

ABSTRACT

One of the most important issues of the period we are in is the COVID-19 virus. Corona disease has been officially named SARS-CoV-2 by the world health organization. Since March 2002, this disease has been declared as a global epidemic. The COVID-19 virus has killed more than 4 million people. Like many other diseases, early detection of this virus increases the chances of survival. It was observed that the oxygen level in the blood decreased in people who were infected with this virus. The oxygen level in the blood is measured in hospitals using special devices. Measuring the SPO2 value is time consuming and costly. The easiest and cheapest way to solve this problem is to measure the SPO2 value at home. The main purpose of this study is to present a device design that can measure SPO2 and BPM (blood pressure) at home using IoT peripherals in a low-cost way. In this presented design, the algorithm and the devices used are explained in detail. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

14.
Nurse Education Today ; : 105378, 2022.
Article in English | ScienceDirect | ID: covidwho-1796285

ABSTRACT

Background eHealth literacy (eHL) is considered an important competency among healthcare providers in healthcare systems, especially following the introduction of information and communication technologies. Objectives This study aimed to identify the relationship and direction of factors affecting nursing students' eHL in an online learning environment. Design A cross-sectional study. Settings Three nursing colleges located in Gyeonggi-do and Gangwon-do in Korea. Participants Participants were 259 nursing students aged 18–29 years who lived in the Seoul metropolitan area. Methods Self-reported data on variables including attitudes toward online learning, digital literacy, self-efficacy, and eHL, were collected and analyzed using an independent t-test and one-way analysis of variance. The mediating effects were verified through the bootstrapping method using the PROCESS macro for SPSS. Results The results indicated that although attitudes toward online learning affected digital literacy, they did not directly influence eHL. Additionally, digital literacy and self-efficacy were also found to be associated with eHL and mediate the relationship between online learning attitudes and eHL. Conclusions As online nursing education rapidly becomes commonplace due to the COVID-19 pandemic, attitudes toward online learning, digital literacy, and self-efficacy must be improved to enhance eHL.

15.
Respirology ; n/a(n/a), 2022.
Article in English | Wiley | ID: covidwho-1794574

ABSTRACT

Background and objective To develop targeted and efficient follow-up programmes for patients hospitalized with coronavirus disease 2019 (COVID-19), structured and detailed insights in recovery trajectory are required. We aimed to gain detailed insights in long-term recovery after COVID-19 infection, using an online home monitoring programme including home spirometry. Moreover, we evaluated patient experiences with the home monitoring programme. Methods In this prospective multicentre study, we included adults hospitalized due to COVID-19 with radiological abnormalities. For 6?months after discharge, patients collected weekly home spirometry and pulse oximetry measurements, and reported visual analogue scales on cough, dyspnoea and fatigue. Patients completed the fatigue assessment scale (FAS), global rating of change (GRC), EuroQol-5D-5L (EQ-5D-5L) and online tool for the assessment of burden of COVID-19 (ABCoV tool). Mixed models were used to analyse the results. Results A total of 133 patients were included in this study (70.1% male, mean age 60?years [SD 10.54]). Patients had a mean baseline forced vital capacity of 3.25?L (95% CI: 2.99?3.44?L), which increased linearly in 6 months with 19.1% (?0.62?L, p <?0.005). Patients reported substantial fatigue with no improvement over time. Nevertheless, health status improved significantly. After 6?months, patients scored their general well-being almost similar as before COVID-19. Overall, patients considered home spirometry useful and not burdensome. Conclusion Six months after hospital admission for COVID-19, patients' lung function and quality of life were still improving, although fatigue persisted. Home monitoring enables detailed follow-up for patients with COVID-19 at low burden for patients and for the healthcare system.

16.
JMIR Aging ; 5(2):e34326, 2022.
Article in English | PubMed | ID: covidwho-1793157

ABSTRACT

BACKGROUND: Despite the increasing availability of telemedicine video visits during the COVID-19 pandemic, older adults have greater challenges in getting care through telemedicine. OBJECTIVE: We aim to better understand the barriers to telemedicine in community-dwelling older adults to improve the access to and experience of virtual visits. METHODS: We conducted a mixed methods needs assessment of older adults at two independent living facilities (sites A and B) in Northern California between September 2020 and March 2021. Voluntary surveys were distributed. Semistructured interviews were then conducted with participants who provided contact information. Surveys ascertained participants' preferred devices as well as comfort level, support, and top barriers regarding telephonic and video visits. Qualitative analysis of transcribed interviews identified key themes. RESULTS: Survey respondents' (N=249) average age was 84.6 (SD 6.6) years, and 76.7% (n=191) of the participants were female. At site A, 88.9% (111/125) had a bachelor's degree or beyond, and 99.2% (124/125) listed English as their preferred language. At site B, 42.9% (51/119) had a bachelor's degree or beyond, and 13.4% (16/119) preferred English, while 73.1% (87/119) preferred Mandarin. Regarding video visits, 36.5% (91/249) of all participants felt comfortable connecting with their health care team through video visits. Regarding top barriers, participants at site A reported not knowing how to connect to the platform (30/125, 24%), not being familiar with the technology (28/125, 22.4%), and having difficulty hearing (19/125, 15.2%), whereas for site B, the top barriers were not being able to speak English well (65/119, 54.6%), lack of familiarity with technology and the internet (44/119, 36.9%), and lack of interest in seeing providers outside of the clinic (42/119, 35.3%). Three key themes emerged from the follow-up interviews (n=15): (1) the perceived limitations of video visits, (2) the overwhelming process of learning the technology for telemedicine, and (3) the desire for in-person or on-demand help with telemedicine. CONCLUSIONS: Substantial barriers exist for older adults in connecting with their health care team through telemedicine, particularly through video visits. The largest barriers include difficulty with technology or using the video visit platform, hearing difficulty, language barriers, and lack of desire to see providers virtually. Efforts to improve telemedicine access for older adults should take into account patient perspectives.

17.
JMIR Mhealth Uhealth ; 10(4):e34483, 2022.
Article in English | PubMed | ID: covidwho-1793156

ABSTRACT

The COVID-19 pandemic accelerated the adoption of remote patient monitoring technology, which offers exciting opportunities for expanded connected care at a distance. However, while the mode of clinicians' interactions with patients and their health data has transformed, the larger framework of how we deliver care is still driven by a model of episodic care that does not facilitate this new frontier. Fully realizing a transformation to a system of continuous connected care augmented by remote monitoring technology will require a shift in clinicians' and health systems' approach to care delivery technology and its associated data volume and complexity. In this article, we present a solution that organizes and optimizes the interaction of automated technologies with human oversight, allowing for the maximal use of data-rich tools while preserving the pieces of medical care considered uniquely human. We review implications of this "augmented continuous connected care" model of remote patient monitoring for clinical practice and offer human-centered design-informed next steps to encourage innovation around these important issues.

18.
Pediatr Endocrinol Diabetes Metab ; 28(1): 75-80, 2022.
Article in English | MEDLINE | ID: covidwho-1792052

ABSTRACT

Intensive technology development as well as the COVID-19 pandemic has contributed to the increased interest in the telemedicine and mHealth sector. Increasing availability and use of mobile devices as well as the constantly growing number of nutritional mobile applications, resulted in creating new tools for food and meals nutrients calculation which can be used by patients with diabetes. Variety of mobile applications and multiple functions included in them enable finding applications focused on individual patients' needs. The scientific data coming from research conducted so far suggest that the regular use of mobile nutritional applications contributes to improving metabolic control of diabetes and the reduction of the value of glycated hemoglobin in patients with diabetes. Innovative solutions bring hope also for a significant improvement in the quality of life of patients. The aim of this article was to summarize the EBM knowledge about the use of mHealth in self-control and diet of patients with diabetes, especially type 1 and to present and assess the nutrition mobile applications available in polish language according to their functionality in diabetic self-control.


Subject(s)
COVID-19 , Diabetes Mellitus , Self-Control , Diabetes Mellitus/therapy , Humans , Pandemics , Quality of Life
19.
JMIR Hum Factors ; 9(2): e30523, 2022 Apr 13.
Article in English | MEDLINE | ID: covidwho-1789301

ABSTRACT

BACKGROUND: Intensive care units (ICUs) around the world are in high demand due to patients with COVID-19 requiring hospitalization. As researchers at the University of Bristol, we were approached to develop a bespoke data visualization dashboard to assist two local ICUs during the pandemic that will centralize disparate data sources in the ICU to help reduce the cognitive load on busy ICU staff in the ever-evolving pandemic. OBJECTIVE: The aim of this study was to conduct interviews with ICU staff in University Hospitals Bristol and Weston National Health Service Foundation Trust to elicit requirements for a bespoke dashboard to monitor the high volume of patients, particularly during the COVID-19 pandemic. METHODS: We conducted six semistructured interviews with clinical staff to obtain an overview of their requirements for the dashboard and to ensure its ultimate suitability for end users. Interview questions aimed to understand the job roles undertaken in the ICU, potential uses of the dashboard, specific issues associated with managing COVID-19 patients, key data of interest, and any concerns about the introduction of a dashboard into the ICU. RESULTS: From our interviews, we found the following design requirements: (1) a flexible dashboard, where the functionality can be updated quickly and effectively to respond to emerging information about the management of this new disease; (2) a mobile dashboard, which allows staff to move around on wards with a dashboard, thus potentially replacing paper forms to enable detailed and consistent data entry; (3) a customizable and intuitive dashboard, where individual users would be able to customize the appearance of the dashboard to suit their role; (4) real-time data and trend analysis via informative data visualizations that help busy ICU staff to understand a patient's clinical trajectory; and (5) the ability to manage tasks and staff, tracking both staff and patient movements, handovers, and task monitoring to ensure the highest quality of care. CONCLUSIONS: The findings of this study confirm that digital solutions for ICU use would potentially reduce the cognitive load of ICU staff and reduce clinical errors at a time of notably high demand of intensive health care.

20.
16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1788740

ABSTRACT

As the world continues to grapple with the pandemic, how competently people search and process COVID-19-related information online has serious ramifications. In this vein, a demographic segment that is particularly research-worthy includes older people, who are usually slower in technology adoption and use compared with younger people. For these reasons, the objective of this paper is to explore how people aged 65+ search and process online information related to COVID-19. Fifteen semi-structured, in-depth interviews were conducted in the UK. The older people were found to maintain varied and broad information portfolios. Many found the internet to be an efficient avenue to seek and share information. The participants generally dismissed social media but deemed authoritative information sources (e.g., the WHO website) to be reliable. They were cautious about scams and misinformation online, and were likely to adopt an 'if in doubt, avoid' approach to unfamiliar sites. The study shows that older people in their effort to avoid misinformation may limit their information consumption journeys;nevertheless, this practice keeps them safe. Based on these findings, several implications for theory and practice are discussed. © 2022 IEEE.

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