Abstract: Wireless body area networks have taken their unique recognition in providing consistent facilities in health monitoring. Several studies influence physiological signal monitoring through a centralized approach using star topology in regular activities like standing, walking, sitting, and running which are considered active postures. Unlike regular activities like walking, standing, sitting, and running, the in-bed sleep posture monitoring of a subject is highly necessary for those who have undergone surgery, victims of breathing problems, and victims of COVID-19 for whom oxygen imbalance is a major issue as the mortality rate in sleep is high due to unattended patients. Suggestions from the medical field state that the patients with the above-mentioned issues are highly suggested to follow the prone sleep posture that enables them to maintain the oxygen level in the human body. A distributed model of communication is used where mesh topology is used for the data packets to be carried in a relay fashion to the sink. Heartbeat rate (HBR) and image monitoring of the subject during sleep are closely monitored and taken as input to the proposed posture prediction-Bayesian network (PP-BN) to predict the consecutive postures to increase the accuracy rate of posture recognition. The accuracy rate of the model outperforms the existing classification and prediction algorithms which take the cleaned dataset as input for better prediction results. PubDate: Sat, 28 May 2022 02:20:00 +000
Abstract: Introduction. Synchronous telemedicine using teleconferencing may play a role in clinical care. In a tertiary care center, video conferencing-enhanced virtual clinics were established via a new application platform. They were introduced during COVID-19 pandemic to connect patients to trained health-care providers via a secured line. While maintaining patients’ privacy, they were theorized to offer effective communications and continuous clinical care. In this cross-sectional cohort study, we ought to examine the impact of service and the assistance they may offer to cardiac patients in the outpatient setup. Methods. A prospective cohort study looking at all video-conferencing virtual clinics’ visits during the pandemic with primary focus on cardiac outpatient clinic, addressing primary endpoints of need for admission or emergency visits from cardiac demises during the pandemic and secondary endpoint of patient satisfaction based on patients’ experiences. Results. A total of 6000 live care video-based chats were made over 10 months period from March 10th, 2020, to January 30th, 2021, among which 277 patients were evaluated in the virtual cardiac clinic, of these 193 (69.7%) were males, with mean age of (22.3%), patients were requested to present to clinic for further evaluation and testing, 20 (7.2%) patients were asked to visit the emergency room, of whom 8 (2.8%) patients were hospitalized. All 8 were admitted for high-risk findings that require immediate medical attention, 4/8 underwent cardiac catheterization, mean duration of admission was . When compared to regular walk-in care, there was a statistical difference in admission rate and emergency visits and , respectively, both were statistically higher in the virtual clinic. The satisfaction rate in a 5-scale grading system was 97% of 4 and above recommending the continuation of the service beyond pandemic time. Conclusions. Video-enhanced virtual cardiology clinic works safely and efficiently during COVID-19 pandemic with a difference in admission rate and ER visits when compared to walk-in clinic. It can be used during nonpandemic time to reduce load on hospital and clinic crowdedness. It also decreases the chances of COVID-19 transmission indirectly by reenforcing physical distance. PubDate: Tue, 17 May 2022 17:50:08 +000
Abstract: Background. β-thalassemia is an inherited blood disorder that affects the production of hemoglobin molecules owing to the reduction or absence of beta chains. Transfusion therapy has had a key role in extending the lifespan of β-thalassemia patients. This life-saving therapy is linked to numerous assessments and complications that now comprise most thalassemia management considerations. Consequently, many patients do not receive adequate information about the required assessments, as indicated by evidence-based medical guidelines. Patients with β-thalassemia may benefit from chatbots that follow up on their condition and that provide the required assessment information. Self-management will hopefully have a positive impact on health outcomes. Objectives. This study aims to develop a chatbot that can assist in the management of β-thalassemia by providing the assessment information required to monitor patients’ statuses. Methods. The chatbot operated as a messaging system. A question/answer system was created based on knowledge pertaining to β-thalassemia assembled from experts, medical guidelines, and articles. Recommendations regarding the patient’s follow-up assessment are made based on the answers. Results. A prototype was implemented to demonstrate how the chatbots could dynamically and flexibly provide the assessment information required to follow up on and monitor patients. A small sample of adults with β-thalassemia used the chatbot to examine the system’s usability and perceived utility. A system usability scale and utility scale were implemented to complete a post-test survey. The chatbots were considered by 34 patients, of whom the majority (72%) found them easy to use, while more than 90% of patients considered their use beneficial. Most of the participants agreed that the chatbots could improve their knowledge about their β-thalassemia assessments. Conclusion. Our findings suggest that chatbots can be beneficial to the development of recommended tests and management related to the assessment of β-thalassemia. PubDate: Wed, 11 May 2022 03:20:00 +000
Abstract: The applications of AI in the healthcare sector are increasing day by day. The application of convolutional neural network (CNN) and mask-region-based CNN (Mask-RCCN) to the medical domain has really revolutionized medical image analysis. CNNs have been prominently used for identification, classification, and feature extraction tasks, and they have delivered a great performance at these tasks. In our study, we propose a lightweight CNN, which requires less time to train, for identifying malaria parasitic red blood cells and distinguishing them from healthy red blood cells. To compare the accuracy of our model, we used transfer learning on two models, namely, the VGG-19 and the Inception v3. We train our model in three different configurations depending on the proportion of data being fed to the model for training. For all three configurations, our proposed model is able to achieve an accuracy of around 96%, which is higher than both the other models that we trained for the same three configurations. It shows that our model is able to perform better along with low computational requirements. Therefore, it can be used more efficiently and can be easily deployed for detecting malaria cells. PubDate: Fri, 15 Apr 2022 08:35:01 +000
Abstract: COVID-19 intensified interest in telemedicine, yet no study has evaluated the use of a telepresence robot on unselected urological patients. Therefore, we performed a survey study of patients, bedside caregivers and urologists, investigating the satisfaction and applicability of a telepresence robot (Beam Pro, Suitable Technologies, USA) at the urology ward and emergency department. The primary outcome was the number of patient encounters solved without the urologist’s physical presence. Between March 2021 and May 2021, patients, caregivers, and urologists filled in 42, 35, and 54 questionnaires, respectively. Most patients were male (79%), with a mean age of 64 (). Two of the department’s ten urologists participated. The urologists responded that physical examination was required in 7 (13%) encounters. The caregivers would have preferred the urologist physically present in 11 (31%) cases. Most patients (71%) “agreed” or “strongly agreed” that they were willing to be attended by a telepresence robot at future evaluations and generally, patients gave high satisfaction scores. Though implementation among the department’s urologists was a major challenge, participating urologists reported that physical presence could be avoided in 87% of the patient encounters. Studies of patient-reported outcome measures comparing telemedical and physical patient encounters are needed. PubDate: Tue, 15 Mar 2022 13:20:01 +000
Abstract: Incorporation of telemedicine in general clinical practice is becoming a compelling need nowadays in the context of COVID-19 pandemic and its consequent burdens on the healthcare systems. Though telemedicine appears to be appealing and carries a lot of advantages, yet it is still faced by many challenges and barriers especially in developing countries. Our aim was to explore the impression of healthcare providers about telemedicine and its applicability in clinical practice in Egypt. A cross-sectional study was conducted among healthcare providers from different Egyptian governorates through a web-based survey. The survey gathered information about demographic, socioeconomic features of the enrolled healthcare participants; their knowledge, previous experience, impression about telemedicine, advantages of telemedicine over traditional medical services, barriers that may face telemedicine, and additional services that can be provided by telemedicine were also explored. Our study enrolled 642 healthcare providers from all over Egypt, 43.77% were females, of which 55.5% were physicians, 27.3% were nurses, 6.1% were technicians, 7.6% were administrative clerks, and 3.6% were medical directors. Sixty-four percent of participants reported that they have never used telemedicine. Smartphones were the most commonly used mean in the group who used telemedicine (65%), and smartphone applications were the favorable telemedicine service for about 50% of participants. Participants assumed that the use of telemedicine might not have a negative effect on the doctor-patient relationship but raised some concerns regarding the privacy and security of patients’ data. Despite the fact that telemedicine appears to be appealing and widely accepted by healthcare providers, yet still, its implementation is confronted by some obstacles. Precise organizational guidelines need to be developed to clearly figure out the exact role of each healthcare provider to minimize their doubtfulness about telemedicine and to facilitate its adoption. PubDate: Sat, 12 Mar 2022 14:20:01 +000
Abstract: Background. Heart rhythm disorders are common and may be associated with serious complications. The quality of the ECG signal is crucial to detect and classify arrhythmias. Most available devices for assessment arrhythmias do not allow for remote monitoring. The Norwegian ECG247 Smart Heart Sensor is a new remote patch monitor developed to simplify the assessment of arrhythmias. This study was aimed at evaluating the quality of the ECG signal from the ECG247 Smart Heart Sensor compared to standard 12-lead ECG. Methods. ECG recordings with ECG247 Smart Heart Sensor and a standard 12-lead ECG recorder were performed in 97 volunteers at Sorlandet Hospital, Arendal, Norway, in 2019. All ECGs were analysed by two independent cardiologists. Results. A total of 97 participants (53% men, age 48 (±14) years) were included in the study. The ability for both systems to use recorded ECG data for arrhythmia detection was good (100%). The quality of the P-wave (mean score 1.1 vs. 1.5) and the QRS complex (mean score 1.0 vs. 1.0) from the ECG247 Smart Heart Sensor and that from the 12-lead ECG were comparable (scale: 1: extremely good, 9: not accepted). Noise artefacts were a minor issue in all recordings. Conclusions. The ECG quality from the ECG247 Smart Heart Sensor was comparable to the ECG quality from the standard 12-lead ECG. The ECG247 Smart Heart Sensor may enable easy and remote diagnostics of heart rhythm disorders. This trial is registered with NCT04700865. PubDate: Fri, 11 Feb 2022 10:20:00 +000
Abstract: Objective. To describe the clinical indications and the impact of implementation of specific teleophthalmology referral guidelines in a large rural village vision centre network in India. Methods. This cross-sectional vision centre-based study included 1,016,284 patients presenting between January 2017 and March 2020. Patients who were referred for a teleophthalmology opinion were included as cases. The data were collected using the eyeSmart EMR app on a smart tablet. A training intervention was done to reinforce the implementation of targeted teleophthalmology referral guidelines. Results. Overall, 63,703 (6.3%) patients were referred for a teleophthalmology opinion and were included for analysis. The median age was 41 (IQR: 26-59) years, and adults (88.4%) were commonly referred for a consult. The two most common age groups were between 31-40 years (17.4%) and 21-30 years (16.3%), and the majority of patients were male (59.1%). The most common clinical indication was cornea and anterior segment disorders (71.05%). The most common queries for teleophthalmology referral before versus after the reinforcement of implementation of guidelines were red eye (33.4% vs. 45.6%) followed by cataract (21.2% vs. 8.1%). There was an increase in the red eye ( PubDate: Thu, 27 Jan 2022 16:50:00 +000
Abstract: Emotion recognition is very important for the humans in order to enhance the self-awareness and react correctly to the actions around them. Based on the complication and series of emotions, EEG-enabled emotion recognition is still a difficult issue. Hence, an effective human recognition approach is designed using the proposed feedback artificial shuffled shepherd optimization- (FASSO-) based deep maxout network (DMN) for recognizing emotions using EEG signals. The proposed technique incorporates feedback artificial tree (FAT) algorithm and shuffled shepherd optimization algorithm (SSOA). Here, median filter is used for preprocessing to remove the noise present in the EEG signals. The features, like DWT, spectral flatness, logarithmic band power, fluctuation index, spectral decrease, spectral roll-off, and relative energy, are extracted to perform further processing. Based on the data augmented results, emotion recognition can be accomplished using the DMN, where the training process of the DMN is performed using the proposed FASSO method. Furthermore, the experimental results and performance analysis of the proposed algorithm provide efficient performance with respect to accuracy, specificity, and sensitivity with the maximal values of 0.889, 0.89, and 0.886, respectively. PubDate: Fri, 21 Jan 2022 14:50:00 +000
Abstract: The declaration of the COVID-19 pandemic necessitated rapid implementation of telehealth across all neurological subspecialties. Transitioning to telehealth technology can be challenging for physicians and health care facilities with no prior experience. Here, we describe our experience at the Neurology and Sleep Disorders Clinic at the University of Missouri-Columbia of successful transition of all in-person clinic visits to telehealth visits within a span of 2 weeks with a collaborative effort of clinic staff and the leadership. Within a month of launch, 18 clinic providers with no prior telehealth experience conducted 1451 telehealth visits, which was the 2nd highest number of telehealth visits conducted by any department at the University of Missouri-Columbia Health Care system. Lack of connectivity, poor video/audio quality, and unavailability of smart devices among rural populations were the important shortcomings identified during our telehealth experience. Our study highlighted the need for expansion of high-speed internet access across rural Missouri. We hope our experience will help other health care facilities to learn and incorporate telehealth technology at their facilities, overcome the associated challenges, and serve patient needs while limiting the spread of the COVID-19. PubDate: Tue, 18 Jan 2022 05:05:01 +000
Abstract: The impact of COVID-19 on healthcare services has been profound. One major impact has been underutilization of traditional healthcare services by patients. In 2020, the Saudi Ministry of Health (MoH) started offering general COVID-19 enquiries, education, and medical and psychological consultations around the clock via their 937-Call Center. Given this major change, there was a need to understand the impact of the COVID-19 pandemic on Call Center services, specifically medical consultations, to suggest future recommendations for patient care optimization. This descriptive study analyzed routinely collected data on the 937-Call Center service between March 2020 and September 2020. Data were reviewed, coded, verified, and analyzed using SPSS v22. There was a 296% increase in the number of calls received by the 937-Call Center in 2020 compared to the same period in 2019. The majority of calls received in 2020 were general medical enquiries (98.41%), but about three million COVID-19-specific enquiries were also received in 2020. The increased number of calls was managed by accepting volunteers to handle calls: an average of 236 volunteers per month, handling about 20% of the total call volume. The majority of volunteers were physicians but with the presence of pharmacists, psychologists, and specialized healthcare workers such as nutritionists. Utilization of the 937-Call Center increased during the COVID-19 pandemic, suggesting that it has been an effective strategy for combatting the COVID-19 pandemic in Saudi Arabia. Further research is recommended to investigate the impact of COVID-19 on public awareness of the 937-Call Center and other health-related mobile apps. PubDate: Tue, 18 Jan 2022 05:05:00 +000
Abstract: Technological innovation plays a crucial role in digital healthcare services. A growing number of telehealth platforms are concentrating on using digital tools to improve the quality and availability of care. Virtual care solutions employ not only advanced telehealth technology but also a comprehensive range of healthcare services. As a result, these can reduce patient healthcare costs as well as increase accessibility and convenience. At the same time, the healthcare service provider can leverage healthcare professionals to get a better perspective into the needs of their patients. The objective of this research is to provide a comprehensive design blueprint for a large-scale telehealth platform. Telehealth is the digital healthcare service combining online services and offline access for healthcare facilities to offer various healthcare services directly to patients. This design blueprint covers the digital healthcare ecosystem, new patient journey design for digital health services, telehealth functionality design, and an outline of the platform infrastructure and security design. Ultimately, telehealth platforms establish a completed digital healthcare service and new ecosystem that provides better care for every patient worldwide. PubDate: Wed, 05 Jan 2022 15:20:01 +000
Abstract: Objective. Rheumatoid arthritis (RA) is a chronic autoimmune condition associated with a potential for deformities. It is one of the common conditions to seek health care. Hence, the present study was conducted to assess the telemedicine services for patients suffering from rheumatoid arthritis during the COVID-19 pandemic in an Asian Indian population. Methods. A prospective study was conducted (March 2020–June 2020) in the telemedicine department of a premier northern Indian tertiary care institution. Out of the total patients enrolled () in telemedicine services, 122 rheumatoid arthritis patients (1.6%) were followed for 1 month to assess change in functional status by modified Health Assessment Questionnaire (mHAQ). Telephonic interviews of the enrolled patients were conducted to determine the level of understanding of advice given by consultants, barriers during the consultation, and satisfaction with teleconsultations for rheumatology clinics. Results. For the native people, language of the clinicians was the main barrier (20%) in telerheumatology. Saving of time and money was observed as beneficial factors for patients. More than three-quarters of all rheumatoid arthritis patients were ready to use teleconsultation in the near future. A similar proportion of patients were in support for the recommendation of these services to other persons. Conclusion. We report the successful use of telemedicine services in the evaluation and management of rheumatic diseases in the current COVID-19 pandemic situation. PubDate: Thu, 30 Sep 2021 07:20:00 +000
Abstract: Tracking movements of the body in a natural living environment of a person is a challenging undertaking. Such tracking information can be used as a part of detecting any onsets of anomalies in movement patterns or as a part of a remote monitoring environment. The tracking information can be mapped and visualized using a virtual avatar model of the tracked person. This paper presents an initial novel experimental study of using a commercially available deep-learning body tracking system based on an RGB-D sensor for virtual human model reconstruction. We carried out our study in an indoor environment under natural conditions. To study the performance of the tracker, we experimentally study the output of the tracker which is in the form of a skeleton (stick-figure) data structure under several conditions in order to observe its robustness and identify its drawbacks. In addition, we show and study how the generic model can be mapped for virtual human model reconstruction. It was found that the deep-learning tracking approach using an RGB-D sensor is susceptible to various environmental factors which result in the absence and presence of noise in estimating the resulting locations of skeleton joints. This as a result introduces challenges for further virtual model reconstruction. We present an initial approach for compensating for such noise resulting in a better temporal variation of the joint coordinates in the captured skeleton data. We explored how the extracted joint position information of the skeleton data can be used as a part of the virtual human model reconstruction. PubDate: Thu, 16 Sep 2021 13:05:00 +000
Abstract: Obesity is a major global health challenge and a risk factor for the leading causes of death, including heart disease, stroke, diabetes, and several types of cancer. Attempts to manage and regulate obesity have led to the implementation of various dietary regulatory initiatives to provide information on the calorie contents of meals. Although knowledge of the calorie content is useful for meal planning, it is not sufficient as other factors, including health status (diabetes, hypertension, etc.) and level of physical activity, are essential in the decision process for obesity management. In this work, we present an artificial intelligence- (AI-) based application that is driven by a genetic algorithm (GA) as a potential tool for tracking a user’s energy balance and predicting possible calorie intake required to meet daily calorie needs for obesity management. The algorithm takes the users’ input information on desired foods which are selected from a database and extracted records of users on cholesterol level, diabetes status, and level of physical activity, to predict possible meals required to meet the users need. The micro- and macronutrients of food content are used for the computation and prediction of the potential foods required to meet the daily calorie needs. The functionality and performance of the model were tested using a sample of 30 volunteers from the University of Ghana. Results revealed that the model was able to predict both glycemic and non-glycemic foods based on the condition of the user as well as the macro- and micronutrients requirements. Moreover, the system is able to adequately track the progress of the user’s weight loss over time, daily nutritional needs, daily calorie intake, and predictions of meals that must be taken to avoid compromising their health. The proposed system can serve as a useful resource for individuals, dieticians, and other health management personnel for managing obesity, patients, and for training students in fields of dietetics and consumer science. PubDate: Fri, 27 Aug 2021 10:05:01 +000
Abstract: Objectives. The study is aimed at evaluating knowledge, attitude, and barriers to telemedicine among the general population in Egypt. Methods. A questionnaire-based cross-sectional design was carried out among the general Egyptian population. A convenience sampling method was used to approach the eligible participants from University Teaching Hospitals of eight governorates from May to July 2020. Results. A total of 686 participants filled the questionnaire (49.4% were males, mean age years old). Half of the participants stated that they previously used a telemedicine tool, mainly to follow up laboratory results (67.3%). Video or phone calls (39.3%) and mobile applications (23.7%) were the most commonly recognized telemedicine tools by the participants. The included participants exhibited a high level of knowledge and attitude towards telemedicine. On the other hand, 21.9% stated that telemedicine services could jeopardize patient privacy. 32.8% reported that telemedicine service could lead to disclosing medical information to people who are not authorized to do so. Almost half of the participants agreed to strongly agreed that telemedicine service could increase medical errors. 60.80% of the participants said that they are more likely to prefer telemedicine than traditional ways. However, 13.70% stated that telemedicine is more likely to be challenging to use. Conclusion. The Egyptian population has high knowledge about the applications of telemedicine. In addition, the vast majority of Egyptians appear to perceive the benefits of telemedicine positively and are willing to use it. However, some barriers that have been found must be taken into consideration to adopt telemedicine successfully, especially for people who are old, are low educated, and live in remote areas. Future studies should address the utility of telemedicine in improving the quality of healthcare and patient’s health outcome and quality of life. PubDate: Thu, 10 Jun 2021 14:50:00 +000
Abstract: Teleophthalmology (TO) consists of the clinical and therapeutic approach to the patient (e-Health) using informatic and telecommunication systems. Already widespread worldwide, it aims to improve patient care, expand the healthcare offer, and access to medical care by reducing overall costs. Despite the organizational, legal, and management difficulties, the substantial economic investments necessary for the start-up of equipped structures and efficient territorial services are amply rewarded by economic results and optimal services for professionals and patients. This review specifically analyses the current scenario of teleophthalmology, the points for and against its application in different sociodemographic realities, and in particular, the current and future fields of use. PubDate: Thu, 03 Jun 2021 13:50:00 +000
Abstract: Objective. The purpose of this study was to provide an in-depth analysis of the components and outcomes of telehealth interventions for family caregivers of individuals with chronic health conditions. Methods. A systematic review of 17 databases was conducted for randomized controlled trials published between January 2002 and January 2017. Interventions were analyzed based on type of telecommunication modality, caregiver and care recipient characteristics, intervention components, and caregiver outcomes. Results. A total of 57 articles met criteria for inclusion. Telephone was the most frequently used mode of telehealth delivery and focused primarily on caregivers of older adults with dementia and stroke. Skills training was the most prevalent treatment strategy across telephone, web, and combined telephone and web modalities. Improved psychological functioning was reported most frequently across telehealth modalities. Conclusion. Telehealth is an effective tool in delivering caregiver interventions and leads to significant improvement in caregiver outcomes. Telephone was used most often to deliver cognitive-behavioral and psychoeducational strategies as compared to web and combined telephone and web modalities. Further research is needed to examine the effects of telehealth interventions on caregiving skills and self-efficacy, as well as health outcomes. PubDate: Sat, 22 May 2021 11:20:00 +000
Abstract: We surveyed three well-established store-and-forward telemedicine networks to identify any changes during the first half of 2020, which might have been due to the effect of the COVID-19 coronavirus pandemic on their telemedicine operations. The three networks all used the Collegium Telemedicus system. Various quantitative performance indicators, which included the numbers of referrals and the case-mix, were compared with their values in previous years. Two of the three networks surveyed (A and B) provided telemedicine services for any type of medical or surgical case, while the third (network C) handled only pediatric radiology cases. All networks operated in Africa, but networks A and C also provided services in other resource-constrained regions. Two of the networks (networks B and C) used local staff to submit referrals, while network A relied mainly on its expatriate staff. During the first half of 2020, the numbers of referrals received on network B increased substantially, while in contrast, the numbers of referrals on network A declined. All three networks had relatively stable referral rates during 2018 and 2019. All three networks delivered a service that was rated highly by the referrers. One network operated at relatively high efficiency compared to the other two, although it is not known if this is sustainable. The networks which were more reliant on local referrers saw little reduction—or even an increase—in submitted cases, while the network that had the most dependence on international staff saw a big fall in submitted cases. This was probably due to the effect of international travel restrictions on the deployment of its staff. We conclude that organizations wanting to build or expand their telemedicine services should consider deliberately empowering local providers as their referrers. PubDate: Fri, 21 May 2021 13:35:00 +000
Abstract: Introduction. Mobile health (mHealth) applications gain popularity due to the increasing number of mobile phone usage and internet penetration, which might help some of Indonesia’s medical issues. However, the uptake of mHealth applications is still low in Indonesia. This study is aimed at understanding the factors that drive individuals to adopt mHealth applications and their impact on the intention to recommend. Methods. We applied a new model that combines three different theories with some other constructs: an extended unified theory of acceptance and use of technology, diffusion of innovation, and the internet customer trust model. The study used a cross-sectional study design with partial least squares causal modeling approach. Results. There are 787 respondents in our study, with the majority of them being female, young adults. Our model could explain 53.2% of the variance of intention to adopt while explaining 48.3% of the variance of intention to recommend. Initial trust in mHealth platform (,), facilitating conditions (,), and performance expectancy (,) are the top three most important drivers of intention to adopt mHealth applications. Lastly, importance-performance map analysis (IPMA) showed that the mHealth application’s initial trust is the most important construct with a high-performance score. Discussion. Mobile health developers and managers need to improve initial trust in the mHealth platform, facilitating conditions, and performance expectancy when developing the applications. With a medium , these factors can be applied out of the research context with medium predictive power. PubDate: Fri, 30 Apr 2021 11:05:00 +000
Abstract: Purpose. The purpose of this study was to pilot a home-based pulmonary rehabilitation (PR) program administered via a telemedicine approach using a combination of fitness application and self-selected activity in lung transplant candidates with cystic fibrosis (CF). Methods. We recruited adult patients with CF. The main outcome was adherence, measured by number of sessions completed in 12 weeks. Secondary outcomes were adverse events, six-minute walk distance (6MWD), and dyspnea. Participants were provided a personalized exercise program and equipment including a fitness application that provided exercise videos, recorded exercise time, and corresponding heart rate. We reviewed data daily and provided text messages with feedback. We compared our study outcomes to a retrospective data set of CF patients who participated in a 24-session outpatient hospital-based PR program. Data presented as .Results. Eleven patients participated in the home PR program, 45% female, age , FEV1 predicted. Sessions completed were home-based PR vs. hospital-based PR, . Fifty percent of the home-based group completed ≥24 sessions in 12 weeks versus 0% of the hospital-based patients (). There were no adverse events during exercise. Completers of the home-based program demonstrated a clinically meaningful lower decline in 6 MWD than noncompleters (6MWD vs. ). Only one participant performed a post 6 MWD in the hospital-based PR. Conclusion. Patients with severe CF demonstrated adherence to home PR delivered using fitness application and self-selected activity with no adverse events. This program style may be a viable solution for telerehabilitation in severe CF and is particularly relevant in the COVID era. PubDate: Fri, 26 Feb 2021 12:05:00 +000
Abstract: The recent spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its associated coronavirus disease (COVID-19) has caused widespread public health concerns. Despite huge efforts to contain the disease spread, it is still on the rise because of the community spread pattern of this infection. In order to prevent the community spread, a nationwide lockdown was implemented, due to which many restrictions were imposed on movements of citizens within the country. Since the dental professionals were at the forefront of acquiring the infection, the majority of the dental clinics were shut for routine dental procedures. Only emergency treatment was provided to the patients. However, due to restrictions in movement, it was difficult for the patients to visit the clinics for routine check-ups. This was overcome by the advancements in technology which has a major impact on medicine. Due to increased usage of smartphones and related software applications, the clinical data exchange was facilitated between patients and clinicians which has been termed as “teledentistry.” Teledentistry is a combination of telecommunications and dentistry, involving the exchange of clinical information and images for dental consultation and treatment planning. This technology served as a boon for the dentists to manage dental emergencies during the lockdown period. This narrative review discusses teledentistry and its applications in general and specialty dental practice amidst the COVID-19 lockdown. PubDate: Wed, 17 Feb 2021 17:05:00 +000
Abstract: The objective of this study was to design the screens of a future gamified mobile application for self-management of type 1 diabetes in children based on the opinion of caregivers at the King Fahad Hospital Diabetes Center, Saudi Arabia. To achieve this objective, a questionnaire was designed and distributed among 100 caregivers through face-to-face communication and social media using a Google Forms link. 65% of the participants met the inclusion criteria. The main result of this study was the design of 13 screens of a gamified application for self-management of type 1 diabetes in children from Saudi Arabia. The key features of the screens were caring for a character; using a challenging friend; inclusion of points, level, and leaderboard as rewarding principles; use of reminders and notifications for doctor’s appointments, insulin injection times, blood glucose readings; and tips for improving medication adherence, increasing blood glucose readings, supporting physical activities, and adopting healthy eating habits. It can be concluded that the practical implementation of the screens in a future mobile application can motivate children with type 1 diabetes to improve eating habits, physical exercise, and cognitive, emotional, and social behaviors to maintain a stable state of health. Also, the content of the designed screens can help to monitor blood glucose readings and comply with medication treatment. The designed screens are adapted to the Arab culture. PubDate: Fri, 05 Feb 2021 14:50:00 +000
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