scholarly journals Mobile Fitness and Weight Management Apps: Protocol for a Quality Evaluation (Preprint)

2020 ◽  
Author(s):  
Madison Milne-Ives ◽  
Ching Lam ◽  
Michelle van Velthoven ◽  
Edward Meinert

BACKGROUND Obesity is a contributing factor for many noncommunicable diseases and a growing problem worldwide. Many mobile apps have been developed to help users improve their fitness and weight management behaviors. However, the speed at which apps are created and updated means that it is important to periodically assess their quality. OBJECTIVE The purpose of this study is to evaluate the quality of fitness and weight management mobile health apps using the Mobile Application Rating Scale (MARS). It will also describe the features of the included apps and compare the results to a previous evaluation conducted in 2015. METHODS Searches for “fitness,” “weight,” “exercise,” “physical activity,” “diet,” “eat*,” and “food” will be conducted in the Apple App Store and Google Play. Apps that have been updated over the past 5 years will be included. Two reviewers will rate the apps’ quality using the MARS objective and subjective quality subscales. Interrater reliability will also be assessed. Features included in high-quality apps will be assessed, and changes in quality, features, and behavior change techniques made during the past 5 years will be described. RESULTS The results will be included in the evaluation paper, which we aim to publish in 2020. CONCLUSIONS This evaluation will assess the quality of currently available fitness and weight management apps. INTERNATIONAL REGISTERED REPORT PRR1-10.2196/17685

10.2196/17685 ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. e17685
Author(s):  
Madison Milne-Ives ◽  
Ching Lam ◽  
Michelle van Velthoven ◽  
Edward Meinert

Background Obesity is a contributing factor for many noncommunicable diseases and a growing problem worldwide. Many mobile apps have been developed to help users improve their fitness and weight management behaviors. However, the speed at which apps are created and updated means that it is important to periodically assess their quality. Objective The purpose of this study is to evaluate the quality of fitness and weight management mobile health apps using the Mobile Application Rating Scale (MARS). It will also describe the features of the included apps and compare the results to a previous evaluation conducted in 2015. Methods Searches for “fitness,” “weight,” “exercise,” “physical activity,” “diet,” “eat*,” and “food” will be conducted in the Apple App Store and Google Play. Apps that have been updated over the past 5 years will be included. Two reviewers will rate the apps’ quality using the MARS objective and subjective quality subscales. Interrater reliability will also be assessed. Features included in high-quality apps will be assessed, and changes in quality, features, and behavior change techniques made during the past 5 years will be described. Results The results will be included in the evaluation paper, which we aim to publish in 2020. Conclusions This evaluation will assess the quality of currently available fitness and weight management apps. International Registered Report Identifier (IRRID) PRR1-10.2196/17685


2021 ◽  
Author(s):  
Nicole E Werner ◽  
Janetta C Brown ◽  
Priya Loganathar ◽  
Richard J Holden

BACKGROUND The over 11 million care partners in the US who provide care to people living with Alzheimer’s disease and related dementias (ADRD) cite persistent and pervasive unmet needs related to all aspects of their caregiving role. The proliferation of mobile applications (apps) for care partners has potential to meet the care partners’ needs, but the quality of apps is unknown. OBJECTIVE The present study aimed to 1) evaluate the quality of publicly available apps for care partners of people living with ADRD and 2) identify design features of low- and high-quality apps to guide future research and app development. METHODS We searched the US Apple and Google Play app stores with the criteria that the app needed to be 1) available in US Google play or Apple app stores, 2) directly accessible to users “out of the box”, 3) primarily intended for use by an informal (family, friend) caregiver or caregivers of a person with dementia. The included apps were then evaluated using the Mobile App Rating Scale (MARS), which includes descriptive app classification and rating using 23 items across five dimensions: engagement, functionality, aesthetics, information, and subjective quality. Next, we computed descriptive statistics for each rating. To identify recommendations for future research and app development, we categorized rater comments on the score driving factors for each item and what the app could have done to improve the score for that item. RESULTS We evaluated 17 apps (41% iOS only, 12% Android only, 47% both iOS and Android). We found that on average, the apps are of minimally acceptable quality. Although we identified apps above and below minimally acceptable quality, many apps had broken features and were rated as below acceptable for engagement and information. CONCLUSIONS Minimally acceptable quality is likely insufficient to meet care partner needs. Future research should establish minimum quality standards across dimensions for mobile apps for care partners. The design features of high-quality apps we identified in this research can provide the foundation for benchmarking those standards.


10.2196/18858 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e18858
Author(s):  
Atiyeh Vaezipour ◽  
Jessica Campbell ◽  
Deborah Theodoros ◽  
Trevor Russell

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.


2021 ◽  
Author(s):  
Maximilian Gerner ◽  
Nicolas Vuillerme ◽  
Timothée Aubourg ◽  
Eva-Maria Messner ◽  
Yannik Terhorst ◽  
...  

BACKGROUND Patients suffering from inflammatory bowel diseases (IBD) frequently need long-term medical treatment. Mobile apps promise to complement and improve IBD management, however, so far there is no scientific analysis of their quality. OBJECTIVE To evaluate the quality of German IBD mobile apps targeting inflammatory bowel disease patients and physicians treating IBD patients using the Mobile Application Rating Scale (MARS). METHODS The German Apple App Store and Google Play store were systematically searched to identify German IBD mobile apps for patients and physician use. MARS was used to independently assess app quality by 6 physicians, 3 using Android and 3 using iOS smartphones. Apps were randomly assigned so that the 4 apps with the most downloads were rated by all raters and the remaining apps were rated by 1 Android and 1 iOS user. RESULTS In total, we identified 1764 apps in the Apple App Store and Google Play Store. After removing apps that were not related to IBD (1386) and not available in German (317), 61 apps remained. After removing duplicates (3), congress (7), journal (4), and clinical study apps (6), as well as excluding apps that were available in only one of the two app stores (20) and apps which can only be used with an additional device (7) , 14 apps fulfilled the inclusion criteria. The app “CED Dokumentation und Tipps” had the highest overall MARS score with 4.11/5. Median MARS scores of the 14 apps were ranging from 2.38 and 4.11. All of the analyzed apps addressed patients. Three apps are classified as medical products. There was no significant difference between iOS and Android raters. CONCLUSIONS The quality of German IBD apps is largely heterogeneous. Furthermore, despite promising international study results, little evidence exists proving a clinical benefit for German IBD apps. MARS seems to be a suitable method to identify relevant apps. Accordingly, clinical studies and also patient inclusion in the app development process are needed to effectively implement mobile apps in routine care.


2021 ◽  
Author(s):  
Christian Lull ◽  
Jan Alwin von Ahnen ◽  
Georg Groß ◽  
Victor Olsavszky ◽  
Johannes Knitza ◽  
...  

BACKGROUND Psoriasis is a chronic inflammatory skin disease. The visibility of the erythematous plaques on the skin as well as the pain and itch caused by the skin lesions frequently leads to psychological distress in patients. Smartphone apps are widespread, easily accessible and could effectively complement current management strategies of psoriasis patients. OBJECTIVE To systematically identify and objectively assess the quality of currently publicly available German apps for psoriasis patients and compile brief, ready-to-use app descriptions. METHODS We conducted a systematic search and assessment of German apps for psoriasis patients available in the Google Play and Apple App Store. The identified apps were randomly assigned to and independently rated using the Mobile Application Rating Scale (MARS) by three reviewers. Apps were ranked accordingly to their mean MARS rating and the highest ranked app was evaluated independently by two psoriasis patients using the User Version of the Mobile Application Rating Scale (uMARS). App information, including origin, main function and technical aspects and was congregated. RESULTS In total, we were able to identify 95 different apps for psoriasis, of which 15 were available in both app stores, 5 were not specifically intended for psoriasis patients and 1 was designed for clinical trials only. Consequently, the remaining nine apps were included in the final evaluation. Mean MARS score varied between 3.51 and 4.18. The app with the highest mean MARS score was “Psoriasis Helferin” (4.18/5) . When rated by patients, the app was rated lower in all MARS subcategories, resulting in a mean uMARS score of 3.48. CONCLUSIONS App quality was heterogenous and only a minority of identified apps was available in both app stores. The discrepant patient results highlight the importance of involving patients when developing and evaluating health apps. CLINICALTRIAL Deutsches Register klinische Studien (DRKS): DRKS00020963


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Reema A. Karasneh ◽  
Sayer I. Al-Azzam ◽  
Karem H. Alzoubi ◽  
Suhaib M. Muflih ◽  
Sahar S. Hawamdeh

Background. The use of mobile apps for health and well-being has grown exponentially in the last decade, as such apps were reported to be ideal platforms for behavioral change and symptoms monitoring and management. Objective. This study aimed to systematically review period tracking applications available at Google Play and Apple App Stores and determine the presence, features, and quality of these smartphone apps. In addition, behavioral changes associated with the top 5 rated apps were assessed. Methods. This study used the Systematic Search Criteria through Google Play Store and iTunes Apple Store, using terms related to period tracking. Apps were scanned for matching the inclusion criteria and the included apps were assessed by two reviewers using the Mobile Application Rating Scale (MARS), a tool that was developed for classifying and assessing the quality of mHealth apps. Results. Forty-nine apps met the inclusion criteria. Most of the apps enabled setting user goals, motivations, and interactivity, tracking multiple symptoms or mood changes, allowed notifications, and used graphs to illustrate the tracking result over a specific period of time. The majority of features and functions within these apps were offered for free, while some apps included limited in-app purchases or needed Internet connection to function. Certain apps were reported by participants to promote behavioral change and increase knowledge and awareness regarding monthly periods. Conclusions. Period tracking apps were easy to use and navigate and can hence be readily adopted into routine tracking and management of periods. However, most apps were not based on significant evidence and may need further development to support period-related symptom management.


2019 ◽  
Vol 21 (2) ◽  
pp. 89-101 ◽  
Author(s):  
Spyros E. Polykalas ◽  
George N. Prezerakos

Purpose Mobile devices (smartphones, tables etc.) have become the de facto means of accessing the internet. While traditional Web browsing is still quite popular, significant interaction takes place via native mobile apps that can be downloaded either freely or at a cost. This has opened the door to a number of issues related to privacy protection since the smartphone stores and processes personal data. The purpose of this paper is to examine the extent of access to personal data, required by the most popular mobile apps available in Google Play store. In addition, it is examined whether the relevant procedure is in accordance with the provisions of the new EU Regulation. Design/methodology/approach The paper examines more than a thousand mobile apps, available from the Google Play store, with respect to the extent of the requests for access to personal data. In particular, for each available category in Google Play store, the most popular mobile apps have been examined both for free and paid apps. In addition, the permissions required by free and paid mobile apps are compared. Furthermore, a correlation analysis is carried out aiming to reveal any correlation between the extent of required access to personal data and the popularity and the rating of each mobile app. Findings The findings of this paper suggest that the majority of examined mobile apps require access to personal data to a high extent. In addition, it is found that free mobile apps request access to personal data in a higher extent compared to the relevant requests by paid apps, which indicates strongly that the business model of free mobile apps is based on personal data exploitation. The most popular types of access permissions are revealed for both free and paid apps. In addition, important questions are raised in relation to user awareness and behavior, data minimization and purpose limitation for free and paid mobile apps. Originality/value In this study, the process and the extent of access to personal data through mobile apps are analyzed. Although several studies analyzed relevant issues in the past, the originality of this research is mainly based on the following facts: first, this work took into account the recent Regulation of the EU in relation to personal data (GDPR); second, the authors analyzed a high number of the most popular mobile apps (more than a thousand); and third, the authors compare and analyze the different approaches followed between free and paid mobile apps.


2020 ◽  
Author(s):  
Atiyeh Vaezipour ◽  
Jessica Campbell ◽  
Deborah Theodoros ◽  
Trevor Russell

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 <i>language</i>, 17 apps for <i>speech</i>, 8 apps for <i>cognitive communication</i>, 6 apps for <i>voice</i>, and 5 apps for <i>oromotor function</i> or <i>numeracy</i>. The overall MARS mean score was 3.7 out of 5, SD 0.6, ranging between 2.1 and 4.5, with <i>functionality</i> being the highest-scored subscale (4.3, SD 0.6)<i>, followed by aesthetics</i> (3.8, SD 0.8), <i>information</i> (3.4, SD 0.6)<i>, and engagement</i> (3.3, SD 0.6). The top 5 apps were <i>Naming Therapy</i> (4.6/5), <i>Speech Flipbook Standard</i> (4.6/5), <i>Number Therapy</i> (4.5/5), <i>Answering Therapy</i>, and <i>Constant Therapy</i> (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.


2020 ◽  
Author(s):  
Atiyeh Vaezipour ◽  
Jessica Campbell ◽  
Deborah Theodoros ◽  
Trevor Russell

UNSTRUCTURED 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. 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). 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. 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). 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.


2020 ◽  
Author(s):  
Mina Zibaei ◽  
Reza Khajouei

BACKGROUND In Iran, around 0.05 of population suffer from epilepsy. Poorer health outcomes stem from limited health literacy. The use of mHealth, especially for educating patients in terms of self-care can be very effective. But the important thing is the content that is presented by apps, especially when unreliable or biased information can negatively affect the patient-doctor relationship, causing anxiety or stress. Also, usability of mHealth apps and their impact on behavior change are the other important issues that should be considered. OBJECTIVE The purpose of this study was to assess the quality of Persian language epilepsy-related mobile applications in terms of functionality and quality with a focus on content. METHODS The Persian equivalent of the keywords 'epilepsy' and 'seizure' were searched in the Google Play, Cafe Bazaar and IranApps app stores and the Persian language applications about epilepsy were extracted. These apps were evaluated by two trained reviewers independently using the uMARS scale and DISCERN instrument. Also apps’ prices and the number of installations were assessed. RESULTS A total of 659 applications were retrieved, 78 of which were epilepsy-related. After exclusion of non-Persian language and duplicate apps, there remained 11 relevant apps. The overall mean uMARS score was 2.8 out of 5 while six out of 11 apps (54%) scored higher than 3. The mean figures for the section-specific scores were as follows: engagement 2.2, functionality 4.0, aesthetics 3.3, and information 2.3. The overall DISCERN scores ranged from 26 to 40 out of 80, while the mean score was 34.5. The mean score of reliability was 18.5. CONCLUSIONS This study showed that the overall information quality of the epilepsy apps is poor. The most important missing characteristics of these apps include lack of functionalities for self-care, missing entry date, lack of details about additional sources and inexistence of the risks/benefits of each treatment. The findings suggest that more efforts should be made to develop evidence-based epilepsy-related apps to cover broader domains of self-care and behavioral change techniques.


Sign in / Sign up

Export Citation Format

Share Document