Nick Noguez and Michael Gonzalez Discuss their Research Project: Are Social Features in Mobile Health Apps Effective in Engaging Users? A Content Analysis of Smoking Cessation Mobile Apps

2019 ◽  
Vol 4 ◽  
Author(s):  
Nick Noguez And Michael Gonzalez
Keyword(s):  
Smoking Cessation ◽  
Content Analysis ◽  
Mobile Health ◽  
Social Engagement ◽  
Rating Scale ◽  
Mobile Apps ◽  
Mobile App ◽  
Health Apps ◽  
Social Features ◽  
Mobile Health Apps

  Despite the ubiquity of smartphone ownership and the increasing integration of social engagement features in smoking cessation apps to engage users, thesocial engagement features that exist in current smoking cessation apps and how effective these social features are in engaging users remain unclear. To fill the gap in the literature, a content analysis of free and paid smoking cessation mobile apps isconducted to examine a) the presence of socialengagement features(e.g., social support, social announcement, social referencing) and non-social engagement features (e.g., personal environmental changes, goal setting), and b) their relationship with user ratingsand engagement scores (e.g., Mobile App rating scale [MARS]). The findings will not only extend the mobile health apps engagement typology,but also inform smoking cessation mobile apps design.

scholarly journals Theory-Based Social and Non-Social Engagement Features in Smoking Cessation Mobile Apps: A Content Analysis

2021 ◽  
Vol 18 (17) ◽  
pp. 9106
Author(s):  
Qinghua Yang
Keyword(s):  
Social Support ◽  
Smoking Cessation ◽  
Content Analysis ◽  
Social Engagement ◽  
Rating Scale ◽  
Mobile Apps ◽  
Mobile App ◽  
Social Referencing ◽  
User Engagement ◽  
The Social

Despite the ubiquity of smartphone ownership and the increasing integration of social engagement features in smoking cessation apps to engage users, the social and non-social engagement features that are present in current smoking cessation apps and the effectiveness of these features in engaging users remain understudied. To fill the gap in the literature, a content analysis of free and paid smoking cessation mobile apps was conducted to examine (a) the presence of social features (i.e., social support, social announcement, and social referencing) and non-social engagement features (e.g., personal environmental changes, goal setting, progress tracking, reinforcement tracking, self-monitoring, and personalized recommendations) and (b) their relationships with user engagement scores measured by the Mobile App Rating Scale. In this study, 28.2% of the smoking cessation apps enable social announcement and 8.1% offered the social support feature. Only two apps provided a social referencing feature (1.3%). No app included reinforcement tracking, with the percentage of other non-social engagement features ranging from 9.4% to 49.0%. Social support (β = 0.30, p < 0.001), social announcement (β = 0.21, p < 0.05), and social referencing (β = 0.18, p < 0.05) were significant predictors of user engagement. Regarding the non-social engagement features, personal environment changes (β = 0.38, p < 0.001), progress tracking (β = 0.18, p < 0.05), and personalized recommendations (β = 0.37, p < 0.001) significantly predicted user engagement. The findings not only contribute to the mobile communication literature by applying and extending the theory-based mobile health apps engagement typology, but also inform the future architecture design of smoking cessation mobile apps.

scholarly journals Win Big Fast! An Evaluation of Mobile Applications Available in Australia for Problem Gambling

2020 ◽  
Vol 45 ◽  
Author(s):  
Kelly Ridley ◽  
Amy Wiltshire ◽  
Mathew Coleman
Keyword(s):  
Problem Gambling ◽  
Nous Avons ◽  
Rating Scale ◽  
Mobile Apps ◽  
Descriptive Analysis ◽  
Mobile App ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Traditional Therapies ◽  
Therapeutic Model

With the increase in availability of gambling applications (apps) for mobile phones, it has never been easier for individuals to access gaming systems. A proportion of these users will be affected by gambling disorder (GD). Traditional therapies for GD can be geographically and financially difficult to access. Mobile health apps can be useful for other addictions and provide another avenue of treatment for GD. Our objective in this study was to review the features, models of treatment, and aims of apps marketed to assist people in addressing their gambling. We searched the three largest app stores in Australia and performed a descriptive analysis based on the Mobile App Rating Scale of the apps purporting to be of assistance in managing GD or problem gambling. The number of apps available for addressing GD in Australia was vastly outnumbered by the number of apps for gambling or gaming. Apps that met the inclusion criteria most often aimed at total cessation of gambling, but did not use a recognizable therapeutic model. A majority of apps featured a single tool, most often a sober time tracker. Few of the apps were affiliated with existing services, and those that were tended to have a broader range of features and tools. Mobile apps present another way for individuals who are struggling with GD or problem gambling to access treatment. For apps to be effective, more attention needs to be paid to their design in order for them to be both useful and noticeable in the milieu of more invitingly designed apps that promote gambling.RésuméÉtant donné le nombre grandissant d’applications de jeux de hasard pour téléphone mobile, il n’a jamais été aussi facile d’accéder à des systèmes de jeu. Un certain nombre des utilisateurs de ces appareils développeront une dépendance au jeu (DJ). Les thérapies conventionnelles en matière de DJ peuvent être difficiles d’accès en raison de la distance géographique et de leur coût. Les applications mobiles dédiées à la santé, parfois pour traiter d’autres formes de dépendance, pourraient offrir des possibilités de traitement du jeu pathologique. Nous avons analysé les caractéristiques, les modèles de traitement et les objectifs des applications qui prétendent aider les individus à dominer leur DP. Nous avons fouillé les trois principales boutiques d’applications d’Australie à la recherche de tels produits, puis les avons soumis à une analyse descriptive fondée sur un Mobile App Rating Scale [échelle d’évaluation des applications mobiles]. Le nombre d’applications destinées au contrôle de la DJ est largement inférieur à celui des produits dédiés à la pratique des jeux de hasard et des jeux vidéo. Les applications retenues visent pour la plupart l’abandon définitif du jeu, sans reposer sur un modèle thérapeutique reconnaissable. La majorité comporte un seul et unique outil, soit un dispositif de minutage du temps passé sans jouer. Quelques-unes sont jumelées à des services existants; elles tendent à offrir un éventail plus grand de caractéristiques et d’outils. Les applications mobiles offrent aux personnes aux prises avec une dépendance au jeu une autre voie d’accès au traitement. Pour améliorer leur efficacité, toutefois, il faudra accorder une plus grande attention à leur conception et faire en sorte qu’elles se démarquent nettement des applications autrement plus attrayantes qui font la promotion du jeu.

scholarly journals Mobile Apps for Health Behavior Change: Protocol for a Systematic Review (Preprint)

2019 ◽  
Author(s):  
Madison Milne-Ives ◽  
Ching Lam ◽  
Michelle Helena Van Velthoven ◽  
Edward Meinert
Keyword(s):  
Systematic Review ◽  
Health Behavior ◽  
Behavior Change ◽  
Mobile Health ◽  
Mobile Apps ◽  
Health Behavior Change ◽  
Mobile App ◽  
Risk Of Bias ◽  
Health Apps ◽  
Mobile Health Apps

BACKGROUND The popularity and ubiquity of mobile apps have rapidly expanded in the past decade. With a growing focus on patient interaction with health management, mobile apps are increasingly used to monitor health and deliver behavioral interventions. The considerable variation in these mobile health apps, from their target patient group to their health behavior, and their behavioral change strategy, has resulted in a large but incohesive body of literature. OBJECTIVE The purpose of this protocol is to provide an overview of the current landscape, theories behind, and effectiveness of mobile apps for health behavior change. METHODS The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols will be used to structure this protocol. The focus of the systematic review is guided by a population, intervention, comparator, and outcome framework. A systematic search of Medline, EMBASE, CINAHL, and Web of Science will be conducted. Two authors will independently screen the titles and abstracts of identified references and select studies according to the eligibility criteria. Any discrepancies will then be discussed and resolved. One reviewer will extract data into a standardized form, which will be validated by a second reviewer. Risk of bias was assessed using the Cochrane Collaboration Risk of Bias tool, and a descriptive analysis will summarize the effectiveness of all the apps. RESULTS As of November 2019, the systematic review has been completed and is in peer review for publication. CONCLUSIONS This systematic review will summarize the current mobile app technologies and their effectiveness, usability, and coherence with behavior change theory. It will identify areas of improvement (where there is no evidence of efficacy) and help inform the development of more useful and engaging mobile health apps. INTERNATIONAL REGISTERED REPORT PRR1-10.2196/16931

scholarly journals Mobile Apps for Health Behavior Change: Protocol for a Systematic Review

10.2196/16931 ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. e16931
Author(s):  
Madison Milne-Ives ◽  
Ching Lam ◽  
Michelle Helena Van Velthoven ◽  
Edward Meinert
Keyword(s):  
Systematic Review ◽  
Health Behavior ◽  
Behavior Change ◽  
Mobile Health ◽  
Mobile Apps ◽  
Health Behavior Change ◽  
Mobile App ◽  
Risk Of Bias ◽  
Health Apps ◽  
Mobile Health Apps

Background The popularity and ubiquity of mobile apps have rapidly expanded in the past decade. With a growing focus on patient interaction with health management, mobile apps are increasingly used to monitor health and deliver behavioral interventions. The considerable variation in these mobile health apps, from their target patient group to their health behavior, and their behavioral change strategy, has resulted in a large but incohesive body of literature. Objective The purpose of this protocol is to provide an overview of the current landscape, theories behind, and effectiveness of mobile apps for health behavior change. Methods The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols will be used to structure this protocol. The focus of the systematic review is guided by a population, intervention, comparator, and outcome framework. A systematic search of Medline, EMBASE, CINAHL, and Web of Science will be conducted. Two authors will independently screen the titles and abstracts of identified references and select studies according to the eligibility criteria. Any discrepancies will then be discussed and resolved. One reviewer will extract data into a standardized form, which will be validated by a second reviewer. Risk of bias was assessed using the Cochrane Collaboration Risk of Bias tool, and a descriptive analysis will summarize the effectiveness of all the apps. Results As of November 2019, the systematic review has been completed and is in peer review for publication. Conclusions This systematic review will summarize the current mobile app technologies and their effectiveness, usability, and coherence with behavior change theory. It will identify areas of improvement (where there is no evidence of efficacy) and help inform the development of more useful and engaging mobile health apps. Trial Registration PROSPERO CRD42019155604; https://tinyurl.com/sno4lcu International Registered Report Identifier (IRRID) PRR1-10.2196/16931

scholarly journals Content analysis of behavior change techniques in popular mobile apps for smoking cessation in France. (Preprint)

2020 ◽  
Author(s):  
Luz Bustamante ◽  
Cédric Gill Ménard ◽  
Sabrina Julien ◽  
Lucia Romo
Keyword(s):  
Smoking Cessation ◽  
Content Analysis ◽  
Rating Scale ◽  
Mobile Apps ◽  
Mobile App ◽  
Smoking Cessation Treatment ◽  
Content Quality ◽  
Cessation Treatment ◽  
General Quality

BACKGROUND The mobile app market differs from country to country, and to date no previous review of smoking cessation applications (apps) content quality has been conducted in France. OBJECTIVE The current review aims to examine the general quality of the most popular smoking cessation apps in France and also determine the degree to which apps adhere to established behavioral and cognitive techniques (BCT’s) proven effective in clinical practice. METHODS A systematic research of smoking cessation apps was conducted in both Google Play and Apple store in the French market. The general quality of popular apps was rated with the Mobile App Rating Scale (MARS) and the therapeutical quality was assessed with the ratio of adherence of the BCT taxonomy for smoking cessation treatment. RESULTS 14 mobile apps met all the inclusion criteria of the content analysis. The inter-rater reliability varies from “substantial’ (0,79) to “almost perfect” (0,9) for both measures. The mean MARS score was 3,5 out of 5 (median 3,1- IQR 1,3). Findings suggest that popular apps focused primary on the functionality dimension of the MARS scale (4.2 out of 5). The average number of BCT techniques was 22, with a huge difference between apps (min=4/max=38). At least half of the apps addressed motivation (63%) and advise on using behavioral skills in order to quit or stay nonsmoker (62%). However, only a handful of apps gathered important information (42%) in order to deliver proper advice regarding the use of approved medication or the implementation of the behavioral techniques (31%). The average MARS score was positively correlated with the price (r = .70, p = < .001), and with the number of BCT’s used (r = .66, p = < .005). User rating was not correlated with any quality scale. CONCLUSIONS Content quality of popular smoking cessation apps in France varied by app type and price. Most popular apps propose in general a good quality content but lack the implementation of evidence based BCT’s associated with effectiveness on smoking cessation treatment. Further research is needed to evaluate the improvement of the quality content of smoking cessation apps in France.

scholarly journals Mobile Health Apps for Medical Emergencies: Systematic Review

10.2196/18513 ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. e18513
Author(s):  
Alejandro Plaza Roncero ◽  
Gonçalo Marques ◽  
Beatriz Sainz-De-Abajo ◽  
Francisco Martín-Rodríguez ◽  
Carlos del Pozo Vegas ◽  
...  
Keyword(s):  
Health Care ◽  
Mobile Health ◽  
Mobile Apps ◽  
Current Status ◽  
Health Technologies ◽  
Health Apps ◽  
App Store ◽  
Mobile Health Apps ◽  
Medical Emergencies ◽  
Google Play

Background Mobile health apps are used to improve the quality of health care. These apps are changing the current scenario in health care, and their numbers are increasing. Objective We wanted to perform an analysis of the current status of mobile health technologies and apps for medical emergencies. We aimed to synthesize the existing body of knowledge to provide relevant insights for this topic. Moreover, we wanted to identify common threads and gaps to support new challenging, interesting, and relevant research directions. Methods We reviewed the main relevant papers and apps available in the literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was used in this review. The search criteria were adopted using systematic methods to select papers and apps. On one hand, a bibliographic review was carried out in different search databases to collect papers related to each application in the health emergency field using defined criteria. On the other hand, a review of mobile apps in two virtual storage platforms (Google Play Store and Apple App Store) was carried out. The Google Play Store and Apple App Store are related to the Android and iOS operating systems, respectively. Results In the literature review, 28 papers in the field of medical emergency were included. These studies were collected and selected according to established criteria. Moreover, we proposed a taxonomy using six groups of applications. In total, 324 mobile apps were found, with 192 identified in the Google Play Store and 132 identified in the Apple App Store. Conclusions We found that all apps in the Google Play Store were free, and 73 apps in the Apple App Store were paid, with the price ranging from US $0.89 to US $5.99. Moreover, 39% (11/28) of the included studies were related to warning systems for emergency services and 21% (6/28) were associated with disaster management apps.

scholarly journals The Mobile App Development and Assessment Guide (MAG): Delphi-Based Validity Study (Preprint)

2020 ◽  
Author(s):  
Pere Llorens-Vernet ◽  
Jordi Miró
Keyword(s):  
Health Care ◽  
Mobile Health ◽  
Health Care Professionals ◽  
Online Survey ◽  
End Users ◽  
Mobile App ◽  
Health Apps ◽  
App Development ◽  
Mobile Health Apps

BACKGROUND In recent years, there has been an exponential growth of mobile health (mHealth)–related apps. This has occurred in a somewhat unsupervised manner. Therefore, having a set of criteria that could be used by all stakeholders to guide the development process and the assessment of the quality of the apps is of most importance. OBJECTIVE The aim of this paper is to study the validity of the Mobile App Development and Assessment Guide (MAG), a guide recently created to help stakeholders develop and assess mobile health apps. METHODS To conduct a validation process of the MAG, we used the Delphi method to reach a consensus among participating stakeholders. We identified 158 potential participants: 45 patients as potential end users, 41 health care professionals, and 72 developers. We sent participants an online survey and asked them to rate how important they considered each item in the guide to be on a scale from 0 to 10. Two rounds were enough to reach consensus. RESULTS In the first round, almost one-third (n=42) of those invited participated, and half of those (n=24) also participated in the second round. Most items in the guide were found to be important to a quality mHealth-related app; a total of 48 criteria were established as important. “Privacy,” “security,” and “usability” were the categories that included most of the important criteria. CONCLUSIONS The data supports the validity of the MAG. In addition, the findings identified the criteria that stakeholders consider to be most important. The MAG will help advance the field by providing developers, health care professionals, and end users with a valid guide so that they can develop and identify mHealth-related apps that are of quality.

scholarly journals The Mobile App Development and Assessment Guide (MAG): Delphi-Based Validity Study

10.2196/17760 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e17760 ◽  
Author(s):  
Pere Llorens-Vernet ◽  
Jordi Miró
Keyword(s):  
Health Care ◽  
Mobile Health ◽  
Health Care Professionals ◽  
Online Survey ◽  
End Users ◽  
Mobile App ◽  
Health Apps ◽  
App Development ◽  
Mobile Health Apps

Background In recent years, there has been an exponential growth of mobile health (mHealth)–related apps. This has occurred in a somewhat unsupervised manner. Therefore, having a set of criteria that could be used by all stakeholders to guide the development process and the assessment of the quality of the apps is of most importance. Objective The aim of this paper is to study the validity of the Mobile App Development and Assessment Guide (MAG), a guide recently created to help stakeholders develop and assess mobile health apps. Methods To conduct a validation process of the MAG, we used the Delphi method to reach a consensus among participating stakeholders. We identified 158 potential participants: 45 patients as potential end users, 41 health care professionals, and 72 developers. We sent participants an online survey and asked them to rate how important they considered each item in the guide to be on a scale from 0 to 10. Two rounds were enough to reach consensus. Results In the first round, almost one-third (n=42) of those invited participated, and half of those (n=24) also participated in the second round. Most items in the guide were found to be important to a quality mHealth-related app; a total of 48 criteria were established as important. “Privacy,” “security,” and “usability” were the categories that included most of the important criteria. Conclusions The data supports the validity of the MAG. In addition, the findings identified the criteria that stakeholders consider to be most important. The MAG will help advance the field by providing developers, health care professionals, and end users with a valid guide so that they can develop and identify mHealth-related apps that are of quality.

scholarly journals Comprehensively Addressing Postpartum Maternal Health: a Content and Image Review of Commercially Available Mobile Health Apps

2020 ◽  
Author(s):  
Laura Tucker ◽  
Alan Cuevas Villagomez ◽  
Tamar Krishnamurti
Keyword(s):  
Maternal Health ◽  
Health Information ◽  
Mobile Health ◽  
Rating Scale ◽  
The United States ◽  
Quality Score ◽  
People Of Color ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Google Play

Abstract Background: The United States is currently facing a maternal morbidity and mortality crisis, with the highest rates of any resource-rich nation. In efforts to address this, new guidelines for postpartum care suggest that mobile health apps can help provide complementary clinical support for new mothers during the postpartum period. However, to date no study has evaluated existing mobile health tools targeted to this time period for sufficiency of maternal health information, inclusivity of people of color, or accessibility to users.Methods: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards were used to review the peripartum apps from the Apple and Google Play stores in either the Health/Fitness, Medical, or Education categories. Apps were then evaluated for extent and quality of maternal health information, inclusivity of people of color, and accessibility to app users.Results: Of the 301 apps from the Apple and Google Play stores, 25 met criteria for final evaluation. Of the 30 maternal health topics coded for, the median number addressed by apps was 19.5 (65%). Peripartum behaviors were more frequently addressed than peripartum outpatient care topics and peripartum acute health risks. The amount of maternal health information correlated positively with the Mobile Application Rating Scale (MARS) quality score of the app, and inclusivity of people of color in app imagery also correlated positively with the MARS quality score. Only 8 apps (32%) portrayed greater than 24% images of people of color- the percent of non-white Americans according to 2019 census estimates. There was no correlation between number of users as estimated by number of store ratings and MARS quality. In addition, apps with clinical authority had greater MARS engagement, information, aesthetics, and quality scores, but did not have greater numbers of store ratings.Conclusions: Current commercially available peripartum apps overall do not provide adequate maternal health information, are not inclusive of women of color, and are not optimally accessible to the target users. Apps authored with clinical authority and higher-quality apps, by MARS score, are more likely to meet these standards, but are not more likely to be downloaded and used.

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