scholarly journals Quality, Functionality, and Features of Chinese Mobile Apps for Diabetes Self-Management: Systematic Search and Evaluation of Mobile Apps

10.2196/14836 ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. e14836 ◽  
Author(s):  
Enying Gong ◽  
Zongmuyu Zhang ◽  
Xurui Jin ◽  
Yishan Liu ◽  
Lumin Zhong ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Behavior Change ◽  
Rating Scales ◽  
Mobile Apps ◽  
Mobile App ◽  
Systematic Search ◽  
Self Management ◽  
Average Score ◽  
Inclusion Criteria

Background The emergence and advancement of mobile technologies offer a promising opportunity for people with diabetes to improve their self-management. Despite the proliferation of mobile apps, few studies have evaluated the apps that are available to the millions of people with diabetes in China. Objective This study aimed to conduct a systematic search of Chinese mobile apps for diabetes self-management and to evaluate their quality, functionality, and features by using validated rating scales. Methods A systematic search was conducted to identify Chinese apps for diabetes self-management in the four most popular Chinese language mobile app stores. Apps were included if they were designed for diabetes self-management and contained at least one of the following components: blood glucose management, dietary and physical activity management, medication taking, and prevention of diabetes-related comorbidities. Apps were excluded if they were unrelated to health, not in Chinese, or the targeted users are health care professionals. Apps meeting the identified inclusion criteria were downloaded and evaluated by a team of 5 raters. The quality, functionalities, and features of these apps were assessed by using the Mobile App Rating Scale (MARS), the IMS Institute for Healthcare Informatics Functionality score, and a checklist of self-management activities developed based on the Chinese diabetes self-management guideline, respectively. Results Among 2072 apps searched, 199 were eligible based on the inclusion criteria, and 67 apps were successfully downloaded for rating. These 67 apps had an average MARS score of 3.42 out of 5, and 76% (51/67) of the apps achieved an acceptable quality (MARS score >3.0). The scores for the four subdomains of MARS were 3.97 for functionality, 3.45 for aesthetics, 3.21 for information, and 3.07 for engagement. On average, reviewed apps applied five out of the 19 examined behavior change techniques, whereas the average score on the subjective quality for the potential impact on behavior change is 3 out of 5. In addition, the average score on IMS functionality was 6 out of 11. Functionalities in collecting, recording, and displaying data were mostly presented in the reviewed apps. Most of the apps were multifeatured with monitoring blood glucose and tracking lifestyle behaviors as common features, but some key self-management activities recommended by clinical guidelines, such as stress and emotional management, were rarely presented in these apps. Conclusions The general quality of the reviewed apps for diabetes self-management is suboptimal, although the potential for improvement is significant. More attention needs to be paid to the engagement and information quality of these apps through co-design with researchers, public health practitioners, and consumers. There is also a need to promote the awareness of the public on the benefit and potential risks of utilizing health apps for self-management.

scholarly journals Measuring the Quality of Clinical Skills Mobile Apps for Student Learning: Systematic Search, Analysis, and Comparison of Two Measurement Scales (Preprint)

2020 ◽  
Author(s):  
Tehmina Gladman ◽  
Grace Tylee ◽  
Steve Gallagher ◽  
Jonathan Mair ◽  
Rebecca Grainger
Keyword(s):  
Student Learning ◽  
Teaching And Learning ◽  
Rating Scale ◽  
Clinical Skills ◽  
Mobile Apps ◽  
Mobile App ◽  
Systematic Search ◽  
Measurement Scales ◽  
High Quality

BACKGROUND Mobile apps are widely used in health professions, which increases the need for simple methods to determine the quality of apps. In particular, teachers need the ability to curate high-quality mobile apps for student learning. OBJECTIVE This study aims to systematically search for and evaluate the quality of clinical skills mobile apps as learning tools. The quality of apps meeting the specified criteria was evaluated using two measures—the widely used Mobile App Rating Scale (MARS), which measures general app quality, and the Mobile App Rubric for Learning (MARuL), a recently developed instrument that measures the value of apps for student learning—to assess whether MARuL is more effective than MARS in identifying high-quality apps for learning. METHODS Two mobile app stores were systematically searched using clinical skills terms commonly found in medical education and apps meeting the criteria identified using an approach based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A total of 9 apps were identified during the screening process. The apps were rated independently by 2 reviewers using MARS and MARuL. RESULTS The intraclass correlation coefficients (ICCs) for the 2 raters using MARS and MARuL were the same (MARS ICC [two-way]=0.68; <i>P</i>&lt;.001 and MARuL ICC [two-way]=0.68; <i>P</i>&lt;.001). Of the 9 apps, Geeky Medics-OSCE revision (MARS Android=3.74; MARS iOS=3.68; MARuL Android=75; and MARuL iOS=73) and OSCE PASS: Medical Revision (MARS Android=3.79; MARS iOS=3.71; MARuL Android=69; and MARuL iOS=73) scored highly on both measures of app quality and for both Android and iOS. Both measures also showed agreement for the lowest rated app, Patient Education Institute (MARS Android=2.21; MARS iOS=2.11; MARuL Android=18; and MARuL iOS=21.5), which had the lowest scores in all categories except information (MARS) and professional (MARuL) in both operating systems. MARS and MARuL were both able to differentiate between the highest and lowest quality apps; however, MARuL was better able to differentiate apps based on teaching and learning quality. CONCLUSIONS This systematic search and rating of clinical skills apps for learning found that the quality of apps was highly variable. However, 2 apps—Geeky Medics-OSCE revision and OSCE PASS: Medical Revision—rated highly for both versions and with both quality measures. MARS and MARuL showed similar abilities to differentiate the quality of the 9 apps. However, MARuL’s incorporation of teaching and learning elements as part of a multidimensional measure of quality may make it more appropriate for use with apps focused on teaching and learning, whereas MARS’s more general rating of quality may be more appropriate for health apps targeting a general health audience. Ratings of the 9 apps by both measures also highlighted the variable quality of clinical skills mobile apps for learning. CLINICALTRIAL

scholarly journals Mobile Apps for Blood Pressure Monitoring: Systematic Search in App Stores and Content Analysis (Preprint)

2018 ◽  
Author(s):  
Hussein Jamaladin ◽  
Tom H van de Belt ◽  
Lianda CH Luijpers ◽  
Falco R de Graaff ◽  
Sebastian JH Bredie ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Health Care Providers ◽  
Rating Scale ◽  
Mobile Apps ◽  
Blood Pressure Monitoring ◽  
Mobile App ◽  
Self Management ◽  
Care Providers ◽  
Pressure Monitoring

BACKGROUND Using a mobile app for self-management could make it easier for patients to get insight into their blood pressure patterns. However, little is known about the availability, quality, and features of mobile apps targeting blood pressure. OBJECTIVE The goal of the research was to determine the availability, functionality, and quality of mobile apps that could be used for blood pressure monitoring purposes. METHODS A systematic app search was performed based on the standards for systematic reviews. We searched the Dutch official app stores for Android and iOS platforms using predefined keywords and included all English and Dutch mobile apps targeting blood pressure. Two independent assessors determined eligibility and quality of the apps using the 5-point Mobile App Rating Scale (MARS). Quality scores of the apps with and without 17 a priori selected characteristics were compared using independent sample t tests. RESULTS A total of 184 apps (104 Android, 80 iOS) met the inclusion criteria. The mean overall MARS score was 2.63 (95% CI 2.55-2.71) for Android and 2.64 (95% CI 2.56-2.71) for iOS. The apps Bloeddruk (4.1) and AMICOMED BP (3.6) had the highest quality scores on the Android and iOS platforms, respectively. Of the app characteristics recorded, only pricing, in-app advertisements, and local data storage were not associated with the quality scores. In only 3.8% (7/184) of the apps, involvement of medical experts in its development was mentioned, whereas none of the apps was formally evaluated with results published in a peer-reviewed journal. CONCLUSIONS This study provides an overview of the best apps currently available in the app stores and important key features for self-management that can be used by health care providers and patients with hypertension to identify a suitable app targeting blood pressure monitoring. However, the majority of the apps targeting blood pressure monitoring were of poor quality. Therefore, it is important to involve medical experts in the developmental stage of health-related mobile apps to improve the quality of these apps.

scholarly journals Personalized and Self-Management: Systematic Search and Evaluation Quality Factors and User Preference of Drug Reference Apps in Taiwan

2021 ◽  
Vol 11 (8) ◽  
pp. 790
Author(s):  
Yu-Chun Chen ◽  
Wei-Wei Liao ◽  
Mei-Chin Su ◽  
Yen-Hsi Lin
Keyword(s):  
Rating Scale ◽  
Mobile App ◽  
Influential Factors ◽  
Systematic Search ◽  
Influential Factor ◽  
User Preference ◽  
Self Management ◽  
User Ratings ◽  
Drug Reference

Background: Drug reference apps promote self-management and improve the efficiency and quality of work for physicians, nurses, pharmacists, and patients. This study aimed to describe a systematic and stepwise process to identify drug reference apps in Taiwan, assess the quality of these apps, and analyze the influential factors for user ratings. Methods: A two-step algorithm (KESS) consisting of keyword growing and systematic search was proposed. Seven independent reviewers were trained to evaluate these apps using Mobile App Rating Scale (MARS). A logistic regression model was fitted and average marginal effects (AME) were calculated to identify the effects of factors for higher user ratings. Results: A total of 23 drug reference apps in Taiwan were identified and analyzed. Generally, these drug reference apps were evaluated as acceptable quality with an average MARS score of 3.23. Higher user engagement, more functionality, better aesthetics, and more information associated with higher user ratings. Navigation is the most influential factor on higher user ratings (AME: 13.15%) followed by performance (AME: 11.03%), visual appeal (AME: 10.87%), credibility (AME: 10.67%), and quantity of information (AME: 10.42%). Conclusions: User experience and information clearly affect user ratings of drug reference apps. Five key factors should be considered when designing drug reference apps.

scholarly journals Measuring the Quality of Clinical Skills Mobile Apps for Student Learning: Systematic Search, Analysis, and Comparison of Two Measurement Scales

10.2196/25377 ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. e25377
Author(s):  
Tehmina Gladman ◽  
Grace Tylee ◽  
Steve Gallagher ◽  
Jonathan Mair ◽  
Rebecca Grainger
Keyword(s):  
Student Learning ◽  
Teaching And Learning ◽  
Rating Scale ◽  
Clinical Skills ◽  
Mobile Apps ◽  
Mobile App ◽  
Systematic Search ◽  
Measurement Scales ◽  
High Quality

Background Mobile apps are widely used in health professions, which increases the need for simple methods to determine the quality of apps. In particular, teachers need the ability to curate high-quality mobile apps for student learning. Objective This study aims to systematically search for and evaluate the quality of clinical skills mobile apps as learning tools. The quality of apps meeting the specified criteria was evaluated using two measures—the widely used Mobile App Rating Scale (MARS), which measures general app quality, and the Mobile App Rubric for Learning (MARuL), a recently developed instrument that measures the value of apps for student learning—to assess whether MARuL is more effective than MARS in identifying high-quality apps for learning. Methods Two mobile app stores were systematically searched using clinical skills terms commonly found in medical education and apps meeting the criteria identified using an approach based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A total of 9 apps were identified during the screening process. The apps were rated independently by 2 reviewers using MARS and MARuL. Results The intraclass correlation coefficients (ICCs) for the 2 raters using MARS and MARuL were the same (MARS ICC [two-way]=0.68; P<.001 and MARuL ICC [two-way]=0.68; P<.001). Of the 9 apps, Geeky Medics-OSCE revision (MARS Android=3.74; MARS iOS=3.68; MARuL Android=75; and MARuL iOS=73) and OSCE PASS: Medical Revision (MARS Android=3.79; MARS iOS=3.71; MARuL Android=69; and MARuL iOS=73) scored highly on both measures of app quality and for both Android and iOS. Both measures also showed agreement for the lowest rated app, Patient Education Institute (MARS Android=2.21; MARS iOS=2.11; MARuL Android=18; and MARuL iOS=21.5), which had the lowest scores in all categories except information (MARS) and professional (MARuL) in both operating systems. MARS and MARuL were both able to differentiate between the highest and lowest quality apps; however, MARuL was better able to differentiate apps based on teaching and learning quality. Conclusions This systematic search and rating of clinical skills apps for learning found that the quality of apps was highly variable. However, 2 apps—Geeky Medics-OSCE revision and OSCE PASS: Medical Revision—rated highly for both versions and with both quality measures. MARS and MARuL showed similar abilities to differentiate the quality of the 9 apps. However, MARuL’s incorporation of teaching and learning elements as part of a multidimensional measure of quality may make it more appropriate for use with apps focused on teaching and learning, whereas MARS’s more general rating of quality may be more appropriate for health apps targeting a general health audience. Ratings of the 9 apps by both measures also highlighted the variable quality of clinical skills mobile apps for learning.

scholarly journals Measuring the Quality of Mobile Apps for the Management of Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale

10.2196/10718 ◽  
2018 ◽  
Vol 6 (10) ◽  
pp. e10718 ◽  
Author(s):  
Alejandro Salazar ◽  
Helena de Sola ◽  
Inmaculada Failde ◽  
Jose Antonio Moral-Munoz
Keyword(s):  
Rating Scale ◽  
Mobile Apps ◽  
Mobile App ◽  
Systematic Search

Stuttering mHealth Applications: A Qualitative Rubric Assessment (Preprint)

2020 ◽  
Author(s):  
Fazwa M. Fadzilah ◽  
Noreen Izza Arshad ◽  
Izuddin Zainal-Abidin ◽  
Hui Min Low ◽  
Ahmad Kamil Mahmood ◽  
...  
Keyword(s):  
Research Evidence ◽  
Mobile Apps ◽  
Group Discussion ◽  
Standard Form ◽  
Mobile App ◽  
Evidence Based ◽  
Evaluation Instrument ◽  
Collective Effort ◽  
Speech Therapists

BACKGROUND Mobile applications (apps) that offer a variety of techniques to improve stuttering have been flourishing in the digital marketplace. In evidence-based clinical practice, speech therapists will recommend audio-enriched mobile apps to individuals with stuttering problems based on empirical research evidence. Unfortunately, many stuttering mobile apps available in the market are developed without a substantial research base. Hence, speech therapists necessitate a guideline which they could use to assess the quality of a stuttering mobile app before recommending the app to stutterers. OBJECTIVE The objective of this study is to develop a rubric for assessing the quality of the stuttering mobile app in assisting speech therapists to make informed recommendations METHODS The rubric was initially developed based on a set of criteria reviewed from the literature. Online surveys and focused group discussion were then conducted for results verification. RESULTS The outcome of this study is a rubric designed with four categories and 18-evaluative dimensions tailored to analyze the quality of stuttering mobile apps. The stuttering mobile app assessment rubric presented in the serve multiple purposes, including an evaluation instrument, providing guidelines for developing stuttering mobile apps and for creating a standard form that can be shared with professionals to facilitate a collective effort. CONCLUSIONS This rubric also offers a guidance to steer drive the future development of stuttering mobile apps that are evidence-based, and theoretically grounded

scholarly journals EVALUATION OF DIABETES SELF-MANAGEMENT EDUCATION IN PATIENTS WITH CONCOMITANT CHRONIC KIDNEY DISEASE

2020 ◽  
Vol 73 (10) ◽  
pp. 2170-2174
Author(s):  
Oleksii M. Korzh
Keyword(s):  
Primary Care ◽  
Primary Care Physicians ◽  
Management Training ◽  
Cross Sectional Study ◽  
Self Management ◽  
Average Score ◽  
Cross Sectional ◽  
Self Monitoring ◽  
Diabetes Educators

The aim: Was to evaluate the quality of DSME provided by primary care physicians to people with diabetes mellitus. Materials and methods: A descriptive cross-sectional study was conducted among 120 primary care physicians. The quality of diabetes self-management training provided by physicians was assessed on a personal scale of 39 Likert questions obtained from the American Association of Diabetes Educators in seven areas of diabetes self-monitoring. The Cronbach’s reliability coefficient for each domain / subscale was ≥ 0.7. The data were analyzed using an independent selective t-test and one-way ANOVA. Results: More than half of the doctors provided “inadequate quality” of diabetes self-management in all areas. Doctors had the highest average score in the domain of “drug intake” (4.46 ± 0.61). Average scores in the “problem-solving domain” (3.52 ± 0.63) and “ being active domain” (3.46 ± 0.75) were low. The quality of DSME provided by physicians was not related to any of the characteristics of the physician. Conclusions: The quality of doctors’ communication on DSME in this study was suboptimal. Most adequately informed cases of diabetic behavior associated with self-management have been associated with reduced risk factors and an orientation towards disease. Thus, training of primary care physicians in diabetic self-management is recommended because of the key role that these doctors play in managing diabetes.

scholarly journals The effect of self-management on the health-related quality of life in hypertensive patients in Xiamen, China

2020 ◽  
Author(s):  
Yanbing Zeng ◽  
Chenxi Lin ◽  
Fan Chen ◽  
Ya Fang
Keyword(s):  
Quality Of Life ◽  
Medication Adherence ◽  
Self Management ◽  
Average Score ◽  
Health Related Quality ◽  
Hypertensive Patients ◽  
Treatment Groups ◽  
Related Quality ◽  
Health Related

Abstract Background: A low HRQOL can be a risk factor for future cardiovascular events in patients with hypertension. Therefore, HRQOL should receive attention and be improved in the treatment of hypertension. The purpose of this study was to investigate if the association between treatment groups and Health-Related Quality of Life (HRQOL) of hypertension mediated by self-management, and to determine which factors of hypertension self-management influenced HRQOL. Methods: Hypertensive patients were selected by multi-stage stratified samping from “1+1+N” Physicians intervention (PI) group and the conventional management (CM) group in 5 communities of Xiamen, China. Patients were cross-sectionally assessed by validated self-reports using self-management Behavior Rating Scale and Quality of Life Instruments for Hypertension. A structural equation modeling (SEM) and a path analytic model were used to assess if the association between treatment groups and HRQOL was mediated by self-management. Results: A total of 1207 patients were included, of whom 48.55% were in the PI group. The average score of the HRQOL scale was 86.68, and the average score of the PI group was higher than the CM group (87.35 vs 86.04, respectively). Similar findings were observed for the self-management scale, in which the average score of the PI group was higher than the CM group (76.32 vs 72.00, respectively). Patients in the PI group had higher levels of self-management compared to the CM group except for management of emotion. SEM showed that the association between treatment groups and HRQOL was significantly mediated by self-management (a*b, 95% confidence intervals CI: 0.02,0.07) and that the single mediator (self-management) model explained 76.67% of the intervention effect. In the multivariable mediation model, the association between treatment groups and HRQOL was significantly mediated by management of medication adherence, sport and diet.Conclusions: The findings presented good evidence supporting that treatment groups are linked to HRQOL of hypertension via self-management. Specifically, management of medication adherence, sport, diet, and emotion are important for improving HRQOL.

scholarly journals Quality of Mobile Apps for Care Partners of People with Alzheimer’s Disease and Related Dementias: Mobile App Rating Scale Evaluation (Preprint)

2021 ◽  
Author(s):  
Nicole E Werner ◽  
Janetta C Brown ◽  
Priya Loganathar ◽  
Richard J Holden
Keyword(s):  
Rating Scale ◽  
Mobile Apps ◽  
Mobile App ◽  
Future Research ◽  
App Development ◽  
Care Partners ◽  
Acceptable Quality ◽  
The Us ◽  
Google Play

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.

Promoting Healthy Food Habits Through an mHealth Application

2020 ◽  
pp. 1-21
Author(s):  
Ines Carvalho ◽  
Fernando Almeida
Keyword(s):  
Food Habits ◽  
Mobile Apps ◽  
Mobile App ◽  
Healthy Food ◽  
Healthcare Sector ◽  
Food Practices ◽  
Health Products ◽  
Usability Data ◽  
Good Food

MHealth involves the provision of health products, services, and information through mobile and wireless technologies. Companies and institutions in the healthcare sector are progressively proposing innovative mhealth solutions that simultaneously reduce costs and improve the quality of life of citizens. In this chapter, a mobile app is proposed to promote healthy food habits through better management of the food each person has at home. This app intends to reduce food waste and promotes the development of good food practices based on the nutritional value of each recipe and the indication of potential allergies to ingredients. The development of the app was based on the best practices of Mobile UX, which is fundamental to offer intuitive interaction and rapid learning for the user. Furthermore, other factors also relevant in the context of mobile apps were considered in the development, namely usability, data backup, performance, security, scalability, and interoperability.

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