Description of Cardiological Apps From the German App Store: Semiautomated Retrospective App Store Analysis (Preprint)

BACKGROUND In the app stores of mobile platforms, consumers are confronted with an enormous number of mobile apps. Over the past few years, considerable research has been undertaken into to identifying, characterizing, and evaluating apps, be it in health-related or other contexts. However, many of these projects are restricted to specific areas of application and offer little flexibility in adapting the applied criteria. OBJECTIVE This paper presents an adaptable method for selecting and characterizing mobile apps listed in a mobile App Store (the Apple App Store). The method is based on filtering processes using predefined criteria, through a semiautomated retrospective App Store analysis (SARASA). METHODS To illustrate the SARASA process, keyword-based filtering and metadata-based description, review, and ranking steps were applied to a dataset, more specifically, an April 2018 readout of the Medical category of the German App Store, with the aim of obtaining a list of cardiology-related apps. RESULTS From the original list of 39,427 apps within the “Medical” category of the App Store on April 14, 2018, 34,382 apps with store descriptions in languages other than German were removed. For the remaining 5045 apps, keywords related to cardiology were applied to filter the output, obtaining a final total of 335 subject-specific apps for further analysis and description. CONCLUSIONS SARASA provides an easy to use method for applying filtering processes to identify apps matching predefined, formal criteria from app stores. The criteria can be well adapted to the needs of users. Automatic and manual analyses are easily combined when using SARASA. In the future, additional features, such as algorithmic topic analyses, may supplement the process. Although the area of application is currently limited to Apple’s App Store, expansion to other stores is planned. The method stands or falls with the transparency of the app store providers and the manufacturers to make relevant meta-information available. It is up to them to liberalize information and restrict censorship to provide clients, customers, and users truly fair circumstances finding their way around the app market.

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Privacy Concerns and Mobile App Store

International Journal of Innovation and Technology Management ◽

10.1142/s021987702150019x ◽

2021 ◽

pp. 2150019

Author(s):

Brenda Mak ◽

Leigh Jin

Keyword(s):

Purchase Intention ◽

Mobile Apps ◽

Smart Phone ◽

User Acceptance ◽

Mobile App ◽

Privacy Concerns ◽

App Store ◽

Negative Effect ◽

Positive Effect ◽

Share Information

Mobile apps have been transforming how individuals and organizations share information and conduct business. This research studies the relationships among user readiness factors, privacy concerns, and user acceptance of mobile app stores. A survey was conducted among college smart phone users. Results indicate that the privacy concerns construct has a direct negative effect on purchase intention of mobile apps in the app store. In addition, user readiness has a direct positive effect on attitudes to the app store, and a net positive effect on purchase intention of apps in the app store. Implications of our findings were discussed.

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Vaping-Related Mobile Apps Available in the Google Play Store After the Apple Ban: Content Review

Journal of Medical Internet Research ◽

10.2196/20009 ◽

2020 ◽

Vol 22 (11) ◽

pp. e20009

Author(s):

Meredith C Meacham ◽

Erin A Vogel ◽

Johannes Thrul

Keyword(s):

Rating Scale ◽

Mobile Apps ◽

Mobile App ◽

Sources Of Information ◽

App Store ◽

Quit Smoking ◽

Quitting Smoking ◽

Do It Yourself ◽

Content Review ◽

Google Play

Background In response to health concerns about vaping devices (eg, youth nicotine use, lung injury), Apple removed 181 previously approved vaping-related apps from the App Store in November 2019. This policy change may lessen youth exposure to content that glamorizes vaping; however, it may also block important sources of information and vaping device control for adults seeking to use vaping devices safely. Objective Understanding the types of nicotine and cannabis vaping–related apps still available in the competing Google Play Store can shed light on how digital apps may reflect information available to consumers. Methods In December 2019, we searched the Google Play Store for vaping-related apps using the keywords "vape" and "vaping" and reviewed the first 100 apps presented in the results. We reviewed app titles, descriptions, screenshots, and metadata to categorize the intended substance (nicotine or cannabis/tetrahydrocannabinol) and the app’s purpose. The most installed apps in each purpose category were downloaded and evaluated for quality and usability with the Mobile App Rating Scale. Results Of the first 100 apps, 79 were related to vaping. Of these 79 apps, 43 (54%) were specific to nicotine, 3 (4%) were specific to cannabis, 1 (1%) was intended for either, and for the remaining 31 (39%), the intended substance was unclear. The most common purposes of the apps were making do-it-yourself e-liquids (28/79, 35%) or coils (25/79, 32%), games/entertainment (19/79, 24%), social networking (16/79, 20%), and shopping for vaping products (15/79, 19%). Of the 79 apps, at least 4 apps (5%) paired with vaping devices to control temperature or dose settings, 8 apps (10%) claimed to help people quit smoking using vaping, and 2 apps (3%) had the goal of helping people quit vaping. Conclusions The majority of vaping-related apps in the Google Play Store had features either to help users continue vaping, such as information for modifying devices, or to maintain interest in vaping. Few apps were for controlling device settings or assisting with quitting smoking or vaping. Assuming that these Google Play Store apps were similar in content to the Apple App Store apps that were removed, it appears that Apple’s ban would have a minimal effect on people who vape with the intention of quitting smoking or who are seeking information about safer vaping via mobile apps.

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Goldilocks and the Three Bears: A Just-Right Hybrid Model to Synthesize the Growing Landscape of Publicly Available Health-Related Mobile Apps (Preprint)

10.2196/preprints.27105 ◽

2021 ◽

Author(s):

Nancy Lau ◽

Alison O'Daffer ◽

Joyce Yi-Frazier ◽

Abby R Rosenberg

Keyword(s):

Hybrid Model ◽

Mobile Apps ◽

Evidence Base ◽

Mobile App ◽

Essential Question ◽

Health Related ◽

Rapid Pace ◽

Research Standards ◽

State Of The Science ◽

Mhealth Apps

UNSTRUCTURED Mobile health (mHealth) technologies have provided an innovative platform for the deployment of health care diagnostics, symptom monitoring, and prevention and intervention programs. Such health-related smartphone apps are universally accepted by patients and providers with over 50 million users worldwide. Despite the rise in popularity and accessibility among consumers, the evidence base in support of health-related apps has fallen well behind the rapid pace of industry development. To bridge this evidence gap, researchers are beginning to consider how to best apply evidence-based research standards to the systematic synthesis of the mHealth consumer market. In this viewpoint, we argue for the adoption of a “hybrid model” that combines a traditional systematic review with a systematic search of mobile app download platforms for health sciences researchers interested in synthesizing the state of the science of consumer apps. This approach, which we have successfully executed in a recent review, maximizes the benefits of traditional and novel approaches to address the essential question of whether popular consumer mHealth apps work.

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Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review

JMIR mhealth and uhealth ◽

10.2196/19796 ◽

2020 ◽

Vol 8 (9) ◽

pp. e19796 ◽

Cited By ~ 7

Author(s):

Long Chiau Ming ◽

Noorazrina Untong ◽

Nur Amalina Aliudin ◽

Norliza Osili ◽

Nurolaini Kifli ◽

...

Keyword(s):

Health Care ◽

Health Care Professionals ◽

Mobile Apps ◽

Home Monitoring ◽

Mobile App ◽

Inclusion Criteria ◽

Self Monitoring ◽

App Store ◽

Online Consultation ◽

Basic Features

Background Mobile health (mHealth) app use is a major concern because of the possible dissemination of misinformation that could harm the users. Particularly, it can be difficult for health care professionals to recommend a suitable app for coronavirus disease (COVID-19) education and self-monitoring purposes. Objective This study aims to analyze and evaluate the contents as well as features of COVID-19 mobile apps. The findings are instrumental in helping health care professionals to identify suitable mobile apps for COVID-19 self-monitoring and education. The results of the mobile apps’ assessment could potentially help mobile app developers improve or modify their existing mobile app designs to achieve optimal outcomes. Methods The search for the mHealth apps available in the android-based Play Store and the iOS-based App Store was conducted between April 18 and May 5, 2020. The region of the App Store where we performed the search was the United States, and a virtual private network app was used to locate and access COVID-19 mobile apps from all countries on the Google Play Store. The inclusion criteria were apps that are related to COVID-19 with no restriction in language type. The basic features assessment criteria used for comparison were the requirement for free subscription, internet connection, education or advisory content, size of the app, ability to export data, and automated data entry. The functionality of the apps was assessed according to knowledge (information on COVID-19), tracing or mapping of COVID-19 cases, home monitoring surveillance, online consultation with a health authority, and official apps run by health authorities. Results Of the 223 COVID-19–related mobile apps, only 30 (19.9%) found in the App Store and 28 (44.4%) in the Play Store matched the inclusion criteria. In the basic features assessment, most App Store (10/30, 33.3%) and Play Store (10/28, 35.7%) apps scored 4 out of 7 points. Meanwhile, the outcome of the functionality assessment for most App Store apps (13/30, 43.3%) was a score of 3 compared to android-based apps (10/28, 35.7%), which scored 2 (out of the maximum 5 points). Evaluation of the basic functions showed that 75.0% (n=36) of the 48 included mobile apps do not require a subscription, 56.3% (n=27) provide symptom advice, and 41.7% (n=20) have educational content. In terms of the specific functions, more than half of the included mobile apps are official mobile apps maintained by a health authority for COVID-19 information provision. Around 37.5% (n=18) and 31.3% (n=15) of the mobile apps have tracing or mapping and home monitoring surveillance functions, respectively, with only 17% (n=8) of the mobile apps equipped with an online consultation function. Conclusions Most iOS-based apps incorporate infographic mapping of COVID-19 cases, while most android-based apps incorporate home monitoring surveillance features instead of providing focused educational content on COVID-19. It is important to evaluate the contents and features of COVID-19 mobile apps to guide users in choosing a suitable mobile app based on their requirements.

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Nutrition-Related Mobile Apps in the French App Store: Assessment of Functionality and Quality (Preprint)

10.2196/preprints.35879 ◽

2021 ◽

Author(s):

Florence Carrouel ◽

Prescilla Martinon ◽

Ina Saliasi ◽

Denis Bourgeois ◽

Colette Smenteck ◽

...

Keyword(s):

Rating Scale ◽

Mobile Apps ◽

Intraclass Correlation ◽

Quality Score ◽

Mobile App ◽

Subjective Quality ◽

App Store ◽

Nutritional Health ◽

Long Term Impact ◽

Poor Nutrition

BACKGROUND The global burden of disease attributes 20% of deaths to poor nutrition. Although hundreds of nutrition-related mobile applications have been created to help improve this situation and these have been downloaded by millions of users, the effectiveness of integrating these technologies on the adoption of healthy eating remains mixed. Similarly, no significant evaluation of nutrition applications in French, spoken by approximately 300 million people, has yet been identified in the literature. OBJECTIVE The aim of this study is to review which nutrition mobile apps are currently available on the French market, and to carry out an exhaustive assessment of their quality using the Mobile App Rating Scale (MARS) tool. METHODS A screening of apps related to nutritional health was conducted from March 10 to 17, 2021, on the Google Play Store and the French App Store. A shortlist of 15 apps was identified and assessed using the French version of MARS. Eight dietitian nutritionists assigned to assess seven apps. Remaining apps were randomly allocated to ensure four ratings per app. Intraclass correlation was used to evaluate inter-rater agreement. Mean ± SD scores and their distributions for each section and item were calculated. RESULTS The top scores for quality were obtained by Yazio (mean 3.84 ± standard deviation 0.32), FeelEat (3.71 ± 0.47) and BonneApp (3.65 ± 0.09). The engagement scores (Section A) ranged from 1.95 ± 0.5 for iEatBetter to 3.85 ± 0.44 for Feeleat. The functionality scores (Section B) ranged from 2.25 ± 0.54 for Naor to 4.25 ± 0.46 for Yazio. The Aesthetics scores (Section C) ranged from 2.17 ± 0.34 for Naor to 3.88 ± 0.47 for Yazio. The information scores (Section D) ranged from 2.38 ± 0.60 for iEatBetter:Journal alimentaire to 3.73 ± 0.29 for Yazio. The MARS subjective quality (Section E) varied from 1.13 ± 0.26 for Naor and 1.13 ± 0.25 iEatBetter:Journal alimentaire to 2.28 ± 0.88 for Compteur de calories Fatsecret. The specificity of apps varied from 1.38 ± 0.64 for iEatBetter:Journal alimentaire to 3.50 ± 0.91 for Feeleat. The app-specific score was always lower than the subjective quality score that was always lower than the quality score and that was lower than the rating score from the iOS or Android app stores. CONCLUSIONS Although the prevention and information messages regarding nutritional habits are not scientifically verified before marketing, dieteticians-nutritionists evaluated that the apps quality was quite relevant. The subjective quality and mobile app specificities were associated with lower ratings. Further investigations are needed to assess their alignment with recommendations and their long-term impact on users.

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Mobile Applications for Allergic Rhinitis

Annals of Otology Rhinology & Laryngology ◽

10.1177/0003489418798385 ◽

2018 ◽

Vol 127 (11) ◽

pp. 836-840 ◽

Cited By ~ 5

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.

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How Dangerous Are Your Smartphones? App Usage Recommendation with Privacy Preserving

Mobile Information Systems ◽

10.1155/2016/6804379 ◽

2016 ◽

Vol 2016 ◽

pp. 1-10 ◽

Cited By ~ 5

Author(s):

Konglin Zhu ◽

Xiaoman He ◽

Bin Xiang ◽

Lin Zhang ◽

Achille Pattavina

Keyword(s):

Mobile Devices ◽

Mobile Apps ◽

Critical Issue ◽

Mobile App ◽

User Preference ◽

Mobile Users ◽

User Privacy ◽

The Past ◽

Privacy Leakage ◽

Privacy Violation

With the rapid proliferation of mobile devices, explosive mobile applications (apps) are developed in the past few years. However, the functions of mobile apps are varied and the designs of them are not well understood by end users, especially the activities and functions related to user privacy. Therefore, understanding how much danger of mobile apps with respect to privacy violation to mobile users is becomes a critical issue when people use mobile devices. In this paper, we evaluate the mobile app privacy violation of mobile users by computing the danger coefficient. In order to help people reduce the privacy leakage, we combine both the user preference to mobile apps and the privacy risk of apps and propose a mobile app usage recommendation method named AppURank to recommend the secure apps with the same function as the “dangerous” one for people use. The evaluation results show that our recommendation can reduce the privacy leakage by 50%.

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Mobile Apps for Speech-Language Therapy in Adults With Communication Disorders: Review of Content and Quality

JMIR mhealth and uhealth ◽

10.2196/18858 ◽

2020 ◽

Vol 8 (10) ◽

pp. e18858

Author(s):

Atiyeh Vaezipour ◽

Jessica Campbell ◽

Deborah Theodoros ◽

Trevor Russell

Keyword(s):

Rating Scale ◽

Mobile Apps ◽

Communication Disorders ◽

Mobile App ◽

Evidence Based ◽

Language Therapy ◽

Eligibility Criteria ◽

App Store ◽

Google Play

Background Worldwide, more than 75% of people with acquired brain injury (ABI) experience communication disorders. Communication disorders are impairments in the ability to communicate effectively, that is, sending, receiving, processing, and comprehending verbal and nonverbal concepts and symbols. Such disorders may have enduring impacts on employment, social participation, and quality of life. Technology-enabled interventions such as mobile apps have the potential to increase the reach of speech-language therapy to treat communication disorders. However, ensuring that apps are evidence-based and of high quality is critical for facilitating safe and effective treatment for adults with communication disorders. Objective The aim of this review is to identify mobile apps that are currently widely available to adults with communication disorders for speech-language therapy and to assess their content and quality using the validated Mobile App Rating Scale (MARS). Methods Google Play Store, Apple App Store, and webpages were searched to identify mobile apps for speech-language therapy. Apps were included in the review if they were designed for the treatment of adult communication disorders after ABI, were in English, and were either free or for purchase. Certified speech-language pathologists used the MARS to assess the quality of the apps. Results From a total of 2680 apps identified from Google Play Store, Apple App Store, and web searches, 2.61% (70/2680) apps met the eligibility criteria for inclusion. Overall, 61% (43/70) were available for download on the iPhone Operating System (iOS) platform, 20% (14/70) on the Android platform, and 19% (13/70) on both iOS and Android platforms. A content analysis of the apps revealed 43 apps for language, 17 apps for speech, 8 apps for cognitive communication, 6 apps for voice, and 5 apps for oromotor function or numeracy. The overall MARS mean score was 3.7 out of 5, SD 0.6, ranging between 2.1 and 4.5, with functionality being the highest-scored subscale (4.3, SD 0.6), followed by aesthetics (3.8, SD 0.8), information (3.4, SD 0.6), and engagement (3.3, SD 0.6). The top 5 apps were Naming Therapy (4.6/5), Speech Flipbook Standard (4.6/5), Number Therapy (4.5/5), Answering Therapy, and Constant Therapy (4.4/5). Conclusions To our knowledge, this is the first study to systematically identify and evaluate a broad range of mobile apps for speech-language therapy for adults with communication disorders after sustaining ABI. We found a lack of interactive and engaging elements in the apps, a critical factor in sustaining self-managed speech-language therapy. More evidence-based apps with a focus on human factors, user experience, and a patient-led design approach are required to enhance effectiveness and long-term use.

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Characteristics and Quality of Mobile Apps Containing Prenatal Genetic Testing Information: Systematic App Store Search and Assessment

JMIR mhealth and uhealth ◽

10.2196/30404 ◽

2021 ◽

Vol 9 (10) ◽

pp. e30404

Author(s):

Ko-Lin Wu ◽

Rebeca Alegria ◽

Jazzlyn Gonzalez ◽

Harrison Hu ◽

Haocen Wang ◽

...

Keyword(s):

Genetic Testing ◽

Pregnant Women ◽

Mobile Apps ◽

Mobile App ◽

Evidence Based ◽

Educational Tool ◽

Prenatal Genetic Testing ◽

Genetic Tests ◽

App Store

Background Prenatal genetic testing is an essential part of routine prenatal care. Yet, obstetricians often lack the time to provide comprehensive prenatal genetic testing education to their patients. Pregnant women lack prenatal genetic testing knowledge, which may hinder informed decision-making during their pregnancies. Due to the rapid growth of technology, mobile apps are a potentially valuable educational tool through which pregnant women can learn about prenatal genetic testing and improve the quality of their communication with obstetricians. The characteristics, quality, and number of available apps containing prenatal genetic testing information are, however, unknown. Objective This study aims to conduct a firstreview to identify, evaluate, and summarize currently available mobile apps that contain prenatal genetic testing information using a systematic approach. Methods We searched both the Apple App Store and Google Play for mobile apps containing prenatal genetic testing information. The quality of apps was assessed based on the criteria adopted from two commonly used and validated mobile app scoring systems, including the Mobile Application Rating Scale (MARS) and the APPLICATIONS evaluation criteria. Results A total of 64 mobile apps were identified. Of these, only 2 apps were developed for a specific prenatal genetic test. All others were either pregnancy-related (61/64, 95%) or genetics-related (1/64, 2%) apps that provided prenatal genetic testing information. The majority of the apps (49/64, 77%) were developed by commercial companies. The mean quality assessment score of the included apps was 13.5 (SD 2.9), which was equal to the average of possible theoretical score. Overall, the main weaknesses of mobile apps in this review included the limited number of prenatal genetic tests mentioned; incomprehensiveness of testing information; unreliable and missing information sources; absence of developmental testing with users (not evidence based); high level of readability; and the lack of visual information, customization, and a text search field. Conclusions Our findings suggest that the quality of mobile apps with prenatal genetic testing information must be improved and that pregnant women should be cautious when using these apps for prenatal genetic testing information. Obstetricians should carefully examine mobile apps before referring any of them to their patients for use as an educational tool. Both improving the quality of existing mobile apps, and developing new, evidence-based, high-quality mobile apps targeting all prenatal genetic tests should be the focus of mobile app developers going forward.

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Goldilocks and the Three Bears: A Just-Right Hybrid Model to Synthesize the Growing Landscape of Publicly Available Health-Related Mobile Apps

Journal of Medical Internet Research ◽

10.2196/27105 ◽

2021 ◽

Vol 23 (6) ◽

pp. e27105

Author(s):

Nancy Lau ◽

Alison O'Daffer ◽

Joyce Yi-Frazier ◽

Abby R Rosenberg

Keyword(s):

Hybrid Model ◽

Mobile Apps ◽

Evidence Base ◽

Mobile App ◽

Essential Question ◽

Health Related ◽

Rapid Pace ◽

Research Standards ◽

State Of The Science ◽

Mhealth Apps

Mobile health (mHealth) technologies have provided an innovative platform for the deployment of health care diagnostics, symptom monitoring, and prevention and intervention programs. Such health-related smartphone apps are universally accepted by patients and providers with over 50 million users worldwide. Despite the rise in popularity and accessibility among consumers, the evidence base in support of health-related apps has fallen well behind the rapid pace of industry development. To bridge this evidence gap, researchers are beginning to consider how to best apply evidence-based research standards to the systematic synthesis of the mHealth consumer market. In this viewpoint, we argue for the adoption of a “hybrid model” that combines a traditional systematic review with a systematic search of mobile app download platforms for health sciences researchers interested in synthesizing the state of the science of consumer apps. This approach, which we have successfully executed in a recent review, maximizes the benefits of traditional and novel approaches to address the essential question of whether popular consumer mHealth apps work.

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