scholarly journals Benchmarking of mobile apps on heart failure

2022 ◽  
Vol 75 (1) ◽  
Author(s):  
Virna Ribeiro Feitosa Cestari ◽  
Raquel Sampaio Florêncio ◽  
Thiago Santos Garces ◽  
Vera Lucia Mendes de Paula Pessoa ◽  
Thereza Maria Magalhães Moreira
Keyword(s):  
Heart Failure ◽  
Operating Systems ◽  
Mobile Applications ◽  
Mobile Apps ◽  
General Information ◽  
Systematic Research ◽  
Significance Level ◽  
Internet Connection ◽  
System Usability Scale ◽  
Main Operating

ABSTRACT Objective: to analyze the mobile apps on heart failure available in the main operating systems and their usability. Methods: benchmarking of mobile applications, systematic research, comprising 38 mobile applications for analysis of general information, functionalities and usability. Usability was assessed using System Usability Scale and Smartphone Usability Questionnaire, followed by the calculation of the agreement index and the exact binomial distribution test, with a significance level of p> 0.05 and a proportion of 0.90. Results: mobile applications had English as the predominant language (73.7%), were directed to patients (71.1%) and the predominant theme was disease knowledge (34.2%). Functionalities ranged from general features to the need for an internet connection. In assessing usability, heart failure was shown to be 92.1% -94.7% and p <0.05. Final considerations: the mobile apps on heart failure have varied content and adequate usability. However, there is a need to develop more comprehensive mobile applications.

Mobile Applications for Allergic Rhinitis

2018 ◽  
Vol 127 (11) ◽  
pp. 836-840 ◽  
Author(s):  
Albert H. Zhou ◽  
Varesh R. Patel ◽  
Soly Baredes ◽  
Jean Anderson Eloy ◽  
Wayne D. Hsueh
Keyword(s):  
Allergic Rhinitis ◽  
Operating Systems ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Mobile App ◽  
App Store ◽  
Search Terms ◽  
Pollen Forecast ◽  
Google Play

Objective: To study and review the currently available mobile applications relating to allergic rhinitis. Methods: The Apple and Google mobile app stores were queried with search terms relating to allergic rhinitis. Apps were assigned to categories and analyzed based on description and characteristics such as popularity, reviews, cost, platform, and physician involvement in development. Results: A total of 72 apps related to allergic rhinitis were identified. Fifty-four apps were unique, with 18 apps found on both operating systems. Forty (55.5%) apps were available in the Apple App store, and 32 (44.4%) apps were available in the Google Play app store. They were grouped into the following categories: patient education (18; 25%), journals (15; 20.8%), symptom tracking (14; 19.4%), clinical/private practice (13; 18.1%), pollen forecast (7; 9.7%), medical education (4; 5.6%), and other (1; 1.4%). The majority of apps were free of charge (67; 93.1%), with paid apps ranging from $1.47 to $4.99. Apps that were reviewed had an average rating of 3.9 out of 5. Physicians were involved in the development of 37 (51.4%) apps. Conclusions: The collection of mobile apps developed for allergic rhinitis includes those for both educational and clinical use. Mobile apps may have an increasing role in otolaryngic allergy and rhinology practices in the future. Thus, continued research is warranted to determine the best way to ensure the accuracy and quality of app content as well as the extent mobile apps can benefit allergic rhinitis patients.

Use of mobile applications in heart failure self-management: a qualitative study of patients’ and primary care clinicians’ perspectives (Preprint)

2021 ◽  
Author(s):  
Leticia Bezerra ◽  
Rimante Ronto ◽  
Josephine Y Chau ◽  
Clara Chow ◽  
Liliana Laranjo
Keyword(s):  
Heart Failure ◽  
Health Care Professionals ◽  
Mobile Applications ◽  
Digital Literacy ◽  
Mobile Apps ◽  
Signs And Symptoms ◽  
Self Management ◽  
Future Research ◽  
Structured Interviews ◽  
Patient Reported

BACKGROUND Heart failure is one of the leading causes of hospitalisation, morbidity, and mortality in the world. Heart failure self-management is challenging and involves a set of self-care behaviours required to reduce the risk of deterioration, identify signs and symptoms of exacerbation, and avoid hospitalisation. Mobile applications (apps) have the potential to facilitate heart failure self-management tasks. OBJECTIVE This study aimed to explore patients’ and clinicians’ perspectives on the facilitators and barriers to using mobile applications, as well as desired features, to support heart failure self-management. METHODS Face-to-face semi-structured interviews were conducted in a general practice clinic in Sydney. Eligible participants were adult heart failure patients and health care professionals who provided care to these patients at the clinic. The interviews were audio-recorded, transcribed, and analyzed using thematic data analysis in NVivo 12. RESULTS Twelve participants were interviewed: six patients (mean age 69±7.9 years) and six clinicians. The main facilitators to the use of apps to support heart failure self-management included the ability for communication between clinicians and patients, personalized feedback and education, and automated self-monitoring. Other desired features included facilitated monitoring of patient-reported measures and mental health tools. Main barriers were related to patients’ digital literacy. CONCLUSIONS The use of mobile apps to support heart failure self-management can be facilitated by several features identified in this study. Future research should consider these features in the co-design and testing of heart failure mobile apps with patients and clinicians.

Mobile Applications for Health Management of Older Adults: A Scoping Review (Preprint)

2020 ◽  
Author(s):  
Nurul Asilah Ahmad ◽  
Shahrul Azman Mohd Noah ◽  
Arimi Fitri Mat Ludin ◽  
Suzana Shahar ◽  
Noorlaili Mohd Tohit
Keyword(s):  
Older Adults ◽  
Goal Setting ◽  
Mobile Applications ◽  
Health Management ◽  
Mobile Apps ◽  
Personalized Feedback ◽  
Self Monitoring ◽  
App Store ◽  
Evidenced Based ◽  
Google Play

BACKGROUND Currently, the use of smartphones to deliver health-related content has experienced a rapid growth, with more than 165,000 mobile health (mHealth) applications currently available in the digital marketplace such as iOS store and Google Play. Among these, there are several mobile applications (mobile apps) that offer tools for disease prevention and management among older generations. These mobile apps could potentially promote health behaviors which will reduce or delay the onset of disease. However, no review to date that has focused on the app marketplace specific for older adults and little is known regarding its evidence-based quality towards the health of older adults. OBJECTIVE The aim of this review was to characterize and critically appraise the content and functionality of mobile apps that focuses on health management and/or healthy lifestyle among older adults. METHODS An electronic search was conducted between May 2019 to December 2019 of the official app store for two major smartphone operating systems: iPhone operating system (iTunes App Store) and Android (Google Play Store). Stores were searched separately using predetermined search terms. Two authors screened apps based on information provided in the app description. Metadata from all included apps were abstracted into a standard assessment criteria form. Evidenced based strategies and health care expert involvement of included apps was assessed. Evidenced based strategies included: self-monitoring, goal setting, physical activity support, healthy eating support, weight and/or health assessment, personalized feedback, motivational strategies, cognitive training and social support. Two authors verified the data with reference to the apps and downloaded app themselves. RESULTS A total of 16 apps met the inclusion criteria. Six out of 16 (37.5%) apps were designed exclusively for the iOS platform while ten out of 16 (62.5%) were designed for Android platform exclusively. Physical activity component was the most common feature offered in all the apps (9/16, 56.3%) and followed by cognitive training (8/16, 50.0%). Diet/nutrition (0/16, 0%) feature, however, was not offered on all reviewed mobile apps. Of reviewed apps, 56.3% (9/16) provide education, 37.5% (6/16) provide self-monitoring features, 18.8% (3/16) provide goal setting features, 18.5% (3/16) provide personalized feedback, 6.3% (1/16) provide social support and none of the reviewed apps offers heart rate monitoring and reminder features to the users. CONCLUSIONS All reviewed mobile apps for older adults in managing health did not focused on diet/nutrition component, lack of functional components and lack of health care professional involvement in their development process. There is also a need to carry out scientific testing prior to the development of the app to ensure cost effective and its health benefits to older adults. Collaborative efforts between developers, researchers, health professionals and patients are needed in developing evidence-based, high quality mobile apps in managing health prior they are made available in the app store.

Assessment and Prediction of Privacy Concerns on Health Apps (Preprint)

2020 ◽  
Author(s):  
Reham AlTamime ◽  
Vincent Marmion ◽  
Wendy Hall
Keyword(s):  
Data Sharing ◽  
Mobile Applications ◽  
Retention Rate ◽  
Mobile Apps ◽  
Third Party ◽  
Privacy Concerns ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Specific Factors ◽  
And Control

BACKGROUND Mobile apps and IoT-enabled smartphones technologies facilitate collecting, sharing, and inferring from a vast amount of data about individuals’ location, health conditions, mobility status, and other factors. The use of such technology highlights the importance of understanding individuals’ privacy concerns to design applications that integrate their privacy expectations and requirements. OBJECTIVE This paper explores, assesses, and predicts individuals’ privacy concerns in relation to collecting and disclosing data on mobile health apps. METHODS We designed a questionnaire to identify participants’ privacy concerns pertaining to a set of 432 mobile apps’ data collection and sharing scenarios. Participants were presented with 27 scenarios that varied across three categorical factors: (1) type of data collected (e.g. health, demographic, behavioral, and location); (2) data sharing (e.g., whether it is shared, and for what purpose); and, (3) retention rate (e.g., forever, until the purpose is satisfied, unspecified, week, or year). RESULTS Our findings show that type of data, data sharing, and retention rate are all factors that affect individuals’ privacy concerns. However, specific factors such as collecting and disclosing health data to a third-party tracker play a larger role than other factors in triggering privacy concerns. CONCLUSIONS Our findings suggest that it is possible to predict privacy concerns based on these three factors. We propose design approaches that can improve users’ awareness and control of their data on mobile applications

Mobile applications and patient education: Are currently available GERD mobile apps sufficient?

2016 ◽  
Vol 127 (8) ◽  
pp. 1775-1779 ◽  
Author(s):  
Michael Bobian ◽  
Aron Kandinov ◽  
Nour El-Kashlan ◽  
Peter F. Svider ◽  
Adam J. Folbe ◽  
...  
Keyword(s):  
Patient Education ◽  
Mobile Applications ◽  
Mobile Apps

Evaluating Mobile Apps For Dietary and Food Timing Assessment For Use in Research and Clinical Assessment (Preprint)

2021 ◽  
Author(s):  
Siena Gioia ◽  
Irma M Vlassac ◽  
Demsina Babazadeh ◽  
Noah L Fryou ◽  
Elizabeth Do ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Keyword Search ◽  
Mobile Apps ◽  
Dietary Assessment ◽  
Registered Dietitian ◽  
Food Record ◽  
User Privacy ◽  
Privacy Policies ◽  
Dietary Record ◽  
System Usability Scale

UNSTRUCTURED Abstract: Over the last decade, health apps have become an increasingly popular tool utilized by clinicians and researchers to track food consumption and exercise. However, as consumer apps have primarily focused on tracking dietary intake and exercise, many lack technological features to facilitate the capture of critical food timing details. To determine a viable app that recorded both dietary intake and food timing for use in our clinical study, we evaluated the timestamp data, usability, privacy policies, accuracy of nutrient estimates, and general features of 11 mobile apps for dietary assessment. Apps were selected using a keyword search of related terms and the following apps were reviewed: Bitesnap, Cronometer, DiaryNutrition, DietDiary, FoodDiary, FoodView, Macros, MealLogger, myCircadianClock, MyFitnessPal, and MyPlate. Our primary goal was identifying apps that record food timestamps, which 8 of the reviewed apps did (73%). Of those, only 4/11 (36%) allowed users to edit the timestamps, an important feature. Next, we sought to evaluate the usability of the apps, using the System Usability Scale (SUS) across 2 days, with 82% of the apps receiving favorable scores for usability (9/11 apps). To enable use in research and clinic settings, the privacy policies of each app were systematically reviewed using common criteria with 1 Health Insurance Portability and Accountability Act (HIPAA) compliant app (Cronometer). Furthermore, protected health information is collected by 9/11 (81%) of the apps. Lastly, to assess the accuracy of nutrient estimates generated by these apps, we selected 4 sample food items and one researcher’s 3-day dietary record to input into each app. The caloric and macronutrient estimates of the apps were compared to nutrient estimates provided by a registered dietitian using the Nutrition Data System for Research (NDSR). Compared to the 3-day food record, the apps were found to consistently underestimate calories and macronutrients compared to NDSR. Overall, we find the Bitesnap app to provide flexible dietary and food timing functionality capable for research or clinical use with the majority of apps lacking in necessary food timing functionality or user privacy.

Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens. (Preprint)

2021 ◽  
Author(s):  
Stephanie Maria Jansen-Kosterink ◽  
Marian Hurmuz ◽  
Marjolein den Ouden ◽  
Lex van Velsen
Keyword(s):  
Mobile Applications ◽  
Mobile Application ◽  
Online Survey ◽  
Reproduction Number ◽  
Mobile Apps ◽  
Contact Tracing ◽  
Snowball Sampling ◽  
Final Model ◽  
Symptom Recognition ◽  
Personal Connections

UNSTRUCTURED Background: eHealth applications have been recognized as a valuable tool to reduce COVID-19’s effective reproduction number. In this paper, we report on an online survey among Dutch citizens with the goal to identify antecedents of acceptance of a mobile application for COVID-19 symptom recognition and monitoring, and a mobile application for contact tracing. Methods: Next to the demographics, the online survey contained questions focussing on perceived health, fear of COVID-19 and intention to use. We used snowball sampling via posts on social media and personal connections. To identify antecedents of acceptance of the two mobile applications we conducted multiple linear regression analyses. Results: In total, 238 Dutch adults completed the survey. Almost 60% of the responders were female and the average age was 45.6 years (SD±17.4). For the symptom app, the final model included the predictors age, attitude towards technology and fear of COVID-19. The model had an R2 of 0.141. The final model for the tracing app included the same predictors and had an R2 of 0.156. The main reason to use both mobile applications was to control the spread of the COVID-19 virus. Concerns about privacy was mentioned as the main reason not to use the mobile applications. Conclusion: Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance. Discussion: Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance. Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance.

A review of vocabulary learning applications: From the aspects of cognitive approaches, multimedia input, learning materials, and game elements

2021 ◽  
pp. 250-272
Keyword(s):  
Foreign Language ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Vocabulary Learning ◽  
Word Knowledge ◽  
Learning Approach ◽  
Feedback Systems ◽  
Learning Materials ◽  
Systematic Understanding ◽  
Game Elements

In recent years, mobile applications (apps) have been increasingly used and investigated as a vocabulary learning approach. Despite the extensive use of commercial English as a Foreign Language (EFL) vocabulary learning apps in China, there is a lack of a review of these apps for a systematic understanding of the components and usefulness of app-assisted vocabulary learning. To fill this knowledge gap, this study presents a systematic review of 15 EFL vocabulary learning apps that were most downloaded in China, focusing on how these apps help students develop word knowledge. The results of this study showed that most apps enabled students to access word knowledge through translating words into their native language. Notably, word knowledge was usually presented through text-plus-image and text-plus-image-plus-audio. Most of these mobile apps provided sentence examples as vocabulary learning materials. Many of these apps were integrated with game elements, especially in interactivity or feedback systems and reward systems. Based on the review results, we have provided three recommendations to vocabulary learning app developers concerning the use of video for the input of word knowledge, the efficiency of vocabulary learning, and the integration of more game elements.

scholarly journals Seeing Things Differently: The use of mobile app interpretation and its effect on visitor experience at two heritage sites in Aotearoa New Zealand

2021 ◽  
Author(s):  
◽  
Jessica Aitken
Keyword(s):  
New Zealand ◽  
Case Studies ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Qualitative Interviews ◽  
Mobile App ◽  
Research Approach ◽  
Visitor Experience ◽  
Heritage Sites ◽  
High Street

<p>The practice of contemporary heritage interpretation has seen increased investment in digital technologies and more recently in mobile applications. However, few empirical studies assess how effective mobile apps are to the visitor experience of heritage sites. What kind of visitor experience do mobile apps provide? How do mobile apps deliver on the aims of interpretation for heritage sites? What types of apps work best? What are the challenges for developers and heritage professionals?  A qualitative research approach is used to examine two case studies; High Street Stories: the life and times of Christchurch’s High Street Precinct and IPENZ Engineering Tours: Wellington Heritage Walking Tour. These case studies ask what kind of experience mobile apps offer as an interpretation tool at these heritage sites. To investigate the topic, email interviews were carried out with heritage professionals and digital developers; together with qualitative interviews with visitors recruited to visit the case study sites using the mobile applications.   This study explores two current examples of mobile app technology in the heritage sector in a New Zealand context. The results of this study aim to augment current literature on the topic of digital interpretation. This study seeks to offer heritage managers and interpreters some key factors to consider when making decisions regarding the methods used to present and interpret heritage sites to visitors and in developing new interpretation and digital strategies that include mobile applications. Although each scenario presents its particular set of considerations and all heritage sites are different, it is hoped these recommendations can be applied and offer working models and strategies.</p>

scholarly journals Android Application Development

2021 ◽  
Vol 9 (VI) ◽  
pp. 3188-3192
Author(s):  
Ritu Sharma
Keyword(s):  
Operating System ◽  
Digital Media ◽  
Operating Systems ◽  
Mobile Apps ◽  
Video Recording ◽  
Weather Forecast ◽  
Smart Phones ◽  
Human Beings ◽  
Application Development ◽  
Audio Video

Technology is being used and improved by human beings over a long period of time now and Smartphones is one of them. Smart Phones contain touch screen, built in keyboard, high resolution camera, front side camera for video conferencing, etc. They are used for making and receiving calls, sending and receiving messages, accessing the Internet, digital media, incorporating audio/video recording etc. Different smart phones have different operating systems and mobile applications are developed for each operating system in smart phones, tablet or mobile phones, in order to serve the needs of the user. These apps are either preinstalled or downloadable from online app market that can do almost everything. Apps make a mobile be like a portable computer having multi core processors, gigabytes of memory and a real operating system. Originally mobile apps were made available for only calling, messaging and informational purposes like calendar, weather forecast, e- mail, etc. With improvement in technology and increase in user demands, developers started making apps for other purposes like games, banking, video chats etc. Some apps are also used to present data in the same format as on a computer website and also allow you to download content that you can use when there is no Internet. There are many apps available in market today for different Operating Systems in which Android is having the maximum market share these days.

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