scholarly journals The Needle in the Haystack: Identifying Credible Mobile Health Apps for Pediatric Populations during a Pandemic and beyond

2020 ◽  
Vol 45 (10) ◽  
pp. 1106-1113
Author(s):  
Alexandra M Psihogios ◽  
Colleen Stiles-Shields ◽  
Martha Neary
Keyword(s):  
Mobile Health ◽  
Digital Health ◽  
Health Behavior Change ◽  
Clinical Expertise ◽  
The Public ◽  
Health Apps ◽  
Theoretical Support ◽  
Mobile Health Apps ◽  
Pediatric Populations ◽  
Mhealth Apps

Abstract Background The COVID-19 pandemic has ignited wider clinical adoption of digital health tools, including mobile health apps (mHealth apps), to address mental and behavioral health concerns at a distance. While mHealth apps offer many compelling benefits, identifying effective apps in the crowded and largely unregulated marketplace is laborious. Consumer demand and industry productivity are increasing, although research is slower, making it challenging for providers to determine the most credible and safe apps for patients in need. Objectives/Methods This commentary offers a practical, empirically guided framework and associated resources for selecting appropriate mHealth apps for pediatric populations during the pandemic and beyond. Results In the first stage, Narrow the target problem, end user, and contender apps. Beginning the search with continuously updated websites that contain expert app ratings can help expedite this process (e.g., Psyberguide). Second, Explore each contender app’s: (a) scientific and theoretical support (e.g., are app components consistent with health behavior change theories?), (b) privacy policies, and (c) user experience (e.g., through crowdsourcing feedback about app usability and appeal via social media). Third, use clinical expertise and stakeholder feedback to Contextualize whether the selected app is a good fit for a particular patient and/or caregiver (e.g., by considering age, race/ethnicity, ability, gender, sexual orientation, technology access), including conducting a brief self-pilot of the app. Conclusion Youth are increasingly turning to technology for support, especially during the pandemic, and pediatric psychologists must be primed to recommend the most credible tools. We offer additional recommendations for rapidly disseminating evidence-based apps to the public.

scholarly journals The Federal Trade Commission and Consumer Protections for Mobile Health Apps

2020 ◽  
Vol 48 (S1) ◽  
pp. 103-114 ◽  
Author(s):  
Jennifer K. Wagner
Keyword(s):  
Consumer Protection ◽  
Mobile Health ◽  
Federal Trade Commission ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Mhealth Apps

The Federal Trade Commission (FTC) has an important role to play in the governmental oversight of mobile health apps, ensuring consumer protections from unfair and deceptive trade practices and curtailing anti-competitive methods. The FTC’s consumer protection structure and authority is outlined before reviewing the recent FTC enforcement activities taken on behalf of consumers and against developers of mhealth apps. The article concludes with identification of some challenges for the FTC and modest recommendations for strengthening the consumer protections it provides.

scholarly journals Multimodal mental models: Understanding users’ design expectations for mHealth apps

2019 ◽  
Vol 26 (3) ◽  
pp. 1493-1506
Author(s):  
J Scott Brennen ◽  
Allison J Lazard ◽  
Elizabeth Troutman Adams
Keyword(s):  
Mental Models ◽  
Mobile Health ◽  
Shared Mental Models ◽  
Health Interventions ◽  
Structured Interviews ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Salient Features ◽  
Mhealth Apps

Employing qualitative structured interviews with mobile health app users, this research describes shared mental models for mHealth and reveals their complexity. The findings uncover prototypical design components common to mental models beyond health apps and suggest that users’ mental models are multimodal, containing distinct and often contradictory dimensions for evaluations of aesthetics and for craftsmanship. The findings also indicate that users’ mental models are informed by experiences with apps from across the mobile landscape. This research suggests that designers of consumer mobile health apps and mobile health interventions should incorporate prototypical or salient features. In doing so, they should index designs to trends across the larger app landscape and innovate the means to balance between multidimensional and conflicting mental models.

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 Heuristic Evaluation of a Top-Rated Diabetes Self-Management App

2021 ◽  
Vol 12 (05) ◽  
pp. 1014-1020
Author(s):  
Linda Harrington ◽  
Cheryl Parker ◽  
Kathleen Ulanday ◽  
Craig Harrington
Keyword(s):  
Mobile Health ◽  
Digital Health ◽  
Self Management ◽  
Heuristic Evaluation ◽  
Pareto Analysis ◽  
Health Apps ◽  
Usability Problem ◽  
Patients With Diabetes ◽  
Optimal Health ◽  
Mobile Health Apps

Abstract Objective The purpose of this study was to evaluate the usability of a top-rated diabetes app. Such apps are intended to markedly support the achievement of optimal health and financial outcomes by providing patients with substantive and continual support for self-management of their disease between periodic clinician visits. Poor usability can deter use which is especially concerning in patients with diabetes due to prevalence of the disease and impact of self-management on long-term prognosis. Methods A diabetes app was selected due to the prevalence and seriousness of the disease. A heuristic evaluation was then performed to collect and analyze data on the usability of the app based on Nielsen's heuristics. Pareto analysis was used to illustrate the contribution of each type of heuristic violation, augmented by a stacked bar chart illuminating associated severity. Results There were 51 heuristic violations on the opening screen, violating 6 of Nielsen's 10 heuristics. Pareto analysis revealed 29 (57%) of the heuristic violations involved a match between system and real world and 8 (16%) aesthetic and minimalist design. Severity ratings ranged from 1.0 to 4.0 (mean: 3.01) with 80% comprising a major usability problem and 6% a usability catastrophe. Conclusion Studies show that people with diabetes are more likely to receive greater benefit from a diabetes app if they are easy to use. The number and severity of heuristic violations in this study suggest that the commercialization of mobile health apps may play a factor in bypassing experts in clinical informatics during the design phase of development. Usability and associated benefits received from mobile health apps can be enhanced by debugging the user interface of identified heuristic violations during design. Waiting to correct ongoing usability issues while apps are in production can result in patients disengaging from use of digital health tools engendering poorer outcomes.

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 Quality Evaluation of Mobile Applications for Fine dust Management

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J B Lee ◽  
H K Woo
Keyword(s):  
Air Pollution ◽  
Mobile Health ◽  
Mobile Applications ◽  
Assessment Tool ◽  
Current Status ◽  
Fine Dust ◽  
Health Apps ◽  
App Development ◽  
Mobile Health Apps ◽  
Mhealth Apps

Abstract Background Recently, the use of fine dust management mobile applications has been on the rise in South Korea. The aim of this study is to describe the current status of fine dust and air pollution mhealth apps used in Korea and to make qualitative assessments of them. Methods App search contents analysis 400 apps were searched using PM2.5, PM10 and yellow dust, the main keywords related to fine dust, referring to the preceding reference from December 30, 2019 to January 2, 2020. Among the apps searched, apps that meet all six criteria, such as those with 1) user score ≥4.0, 2) n of review Top 50, 3) those that do not duplicated, 4) apps that are related to the topic, 5) apps set in Korean, and 6) apps that do not have errors, were selected for the study. App assessment The app evaluation of the study utilizes the MARS scale, an app assessment tool developed overseas. The assessment was conducted for a week from January 3, 2020 to January 10, 2020. Each of the apps averaged scores evaluated over a week for each category and averaged over five categories for an overall quality score. Results The standard deviation of the information and functionality of the 30 apps was similar, with 3.62 (SD 0.38) and 3.58 (SD 0.43), respectively. On the other hand, engagement was the lowest with an average of 3.1 (SD 0.44). The average of aesthetics was 3.4 (SD 0.64), indicating that deviations between apps were very large Conclusions It is deemed necessary to improve the user interface (UI) and configuration of the app to enhance the application's engagement and aesthetics in order to increase the use of fine dust apps by consumers and gain effect. Key messages This research provided information that consumers can reasonably use and select mobile health apps by evaluating and reviewing the contents of fine dust and air pollution mobile health apps. this study is important in that it can serve as a reference for app developers to consider in future app development.

scholarly journals Evaluating accredited mHealth applications. An exploratory study

2020 ◽  
Author(s):  
Pilar Sancha ◽  
Ana Gessa ◽  
Amor Jiménez
Keyword(s):  
Mobile Health ◽  
Evaluation Process ◽  
Descriptive Statistics ◽  
External Quality ◽  
Quality Review ◽  
Health Apps ◽  
Significant Relationships ◽  
Chi Squared ◽  
Mobile Health Apps ◽  
Mhealth Apps

There are over 150.000 mHealth apps currently available, but few haveundergone an external quality review. Standards and validation practicesregarding mobile health apps need to be established to ensure their properuse and integration into medical practice.This study aimed to explore the attributes of mobile health apps that havebeen awarded by a Quality Seal, and how these attributes relate to the apps’user, developer, category and consumer ratings.For the analysis of the 30 acredited apps, we collected data from multipleopen data sources. Descriptive statistics were used to summarize h-apps’ keycharacteristics, and a chi-squared test was used to determine whether therewere significant relationships between the apps and their quality attributes.Although the applications analysed are characterised by their heterogeneity,this research found that seven out of 50 remarkable attributes had significantinfluence on the application evaluation process, according to therecommendations on design, use and assessment of health fromAppSaludable. Only some attributes (adaptation of contents, pilot testing,and accessibility and usability) were correlated with some apps’ features.This study can contribute to improving both the processes of validation andquality of medical care of the citizens and in general, the medical practice.

scholarly journals Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review

10.2196/17046 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e17046 ◽  
Author(s):  
Madison Milne-Ives ◽  
Ching Lam ◽  
Caroline De Cock ◽  
Michelle Helena Van Velthoven ◽  
Edward Meinert
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Mobile Health ◽  
Mobile Apps ◽  
Health Behavior Change ◽  
Risk Of Bias ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Drug And Alcohol Use ◽  
Drug And Alcohol

Background With a growing focus on patient interaction with health management, mobile apps are increasingly used to deliver behavioral health interventions. The large variation in these mobile health apps—their target patient group, health behavior, and behavioral change strategies—has resulted in a large but incohesive body of literature. Objective This systematic review aimed to assess the effectiveness of mobile apps in improving health behaviors and outcomes and to examine the inclusion and effectiveness of behavior change techniques (BCTs) in mobile health apps. Methods PubMed, EMBASE, CINAHL, and Web of Science were systematically searched for articles published between 2014 and 2019 that evaluated mobile apps for health behavior change. Two authors independently screened and selected studies according to the eligibility criteria. Data were extracted and the risk of bias was assessed by one reviewer and validated by a second reviewer. Results A total of 52 randomized controlled trials met the inclusion criteria and were included in the analysis—37 studies focused on physical activity, diet, or a combination of both, 11 on drug and alcohol use, and 4 on mental health. Participant perceptions were generally positive—only one app was rated as less helpful and satisfactory than the control—and the studies that measured engagement and usability found relatively high study completion rates (mean 83%; n=18, N=39) and ease-of-use ratings (3 significantly better than control, 9/15 rated >70%). However, there was little evidence of changed behavior or health outcomes. Conclusions There was no strong evidence in support of the effectiveness of mobile apps in improving health behaviors or outcomes because few studies found significant differences between the app and control groups. Further research is needed to identify the BCTs that are most effective at promoting behavior change. Improved reporting is necessary to accurately evaluate the mobile health app effectiveness and risk of bias.

scholarly journals Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review (Preprint)

2019 ◽  
Author(s):  
Madison Milne-Ives ◽  
Ching Lam ◽  
Caroline De Cock ◽  
Michelle Helena Van Velthoven ◽  
Edward Meinert
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Mobile Health ◽  
Mobile Apps ◽  
Health Behavior Change ◽  
Risk Of Bias ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Drug And Alcohol Use ◽  
Drug And Alcohol

BACKGROUND With a growing focus on patient interaction with health management, mobile apps are increasingly used to deliver behavioral health interventions. The large variation in these mobile health apps—their target patient group, health behavior, and behavioral change strategies—has resulted in a large but incohesive body of literature. OBJECTIVE This systematic review aimed to assess the effectiveness of mobile apps in improving health behaviors and outcomes and to examine the inclusion and effectiveness of behavior change techniques (BCTs) in mobile health apps. METHODS PubMed, EMBASE, CINAHL, and Web of Science were systematically searched for articles published between 2014 and 2019 that evaluated mobile apps for health behavior change. Two authors independently screened and selected studies according to the eligibility criteria. Data were extracted and the risk of bias was assessed by one reviewer and validated by a second reviewer. RESULTS A total of 52 randomized controlled trials met the inclusion criteria and were included in the analysis—37 studies focused on physical activity, diet, or a combination of both, 11 on drug and alcohol use, and 4 on mental health. Participant perceptions were generally positive—only one app was rated as less helpful and satisfactory than the control—and the studies that measured engagement and usability found relatively high study completion rates (mean 83%; n=18, N=39) and ease-of-use ratings (3 significantly better than control, 9/15 rated >70%). However, there was little evidence of changed behavior or health outcomes. CONCLUSIONS There was no strong evidence in support of the effectiveness of mobile apps in improving health behaviors or outcomes because few studies found significant differences between the app and control groups. Further research is needed to identify the BCTs that are most effective at promoting behavior change. Improved reporting is necessary to accurately evaluate the mobile health app effectiveness and risk of bias.

scholarly journals Mobile Health Apps for Self-Management of Rheumatic and Musculoskeletal Diseases: Systematic Literature Review (Preprint)

2019 ◽  
Author(s):  
Aurélie Najm ◽  
Laure Gossec ◽  
Catherine Weill ◽  
David Benoist ◽  
Francis Berenbaum ◽  
...  
Keyword(s):  
Mobile Health ◽  
Development Process ◽  
Musculoskeletal Diseases ◽  
Self Management ◽  
Health Apps ◽  
Moderate Quality ◽  
Mobile Health Apps ◽  
Willingness To Use ◽  
Development Methods ◽  
Mhealth Apps

BACKGROUND Although the increasing availability of mobile health (mHealth) apps may enable people with rheumatic and musculoskeletal diseases (RMDs) to better self-manage their health, there is a general lack of evidence on ways to ensure appropriate development and evaluation of apps. OBJECTIVE This study aimed to obtain an overview on existing mHealth apps for self-management in patients with RMDs, focusing on content and development methods. METHODS A search was performed up to December 2017 across 5 databases. For each publication relevant to an app for RMDs, information on the disease, purpose, content, and development strategies was extracted and qualitatively assessed. RESULTS Of 562 abstracts, 32 were included in the analysis. Of these 32 abstracts, 11 (34%) referred to an app linked to a connected device. Most of the apps targeted rheumatoid arthritis (11/32, 34%). The top three aspects addressed by the apps were pain (23/32, 71%), fatigue (15/32, 47%), and physical activity (15/32, 47%). The development process of the apps was described in 84% (27/32) of the articles and was of low to moderate quality in most of the cases. Despite most of the articles having been published within the past two years, only 5 apps were still commercially available at the time of our search. Moreover, only very few studies showed improvement of RMD outcome measures. CONCLUSIONS The development process of most apps was of low or moderate quality in many studies. Owing to the increasing RMD patients’ willingness to use mHealth apps for self-management, optimal standards and quality assurance of new apps are mandatory.

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