MOBILE HEALTH APPLICATION UTILIZATION AND E-HEALTH LITERACY AMONG MEDICAL AND HEALTH STUDENTS

Fast changing technology application in industry 4.0 technology era implicated on teaching and health services face to face paradigm to virtual services. Excellence health services influenced by good health literacy. The propose of this study is to evaluation knowledge, attitude, and practice medical and health students toward mobile health application and e-health literacy.The study adopted a descriptive cross sectional survey design was conducted in medical and health students in Indonesia during March-July 2020. An Indonesian Electronic Health Literacy Scale (IEHLS) was developed to evaluate Knowledge, Attitude, and Practice (KAP) about e-health literacy and mobile health apps among medical and health students. The full response rate was 99% (n=301). Half of respondents are mobile health apps active user (52.6%). Hallodoc apps was th e most mobile health apps used (60.5%), followed by Medscape (41.5%) and MIMS (23.6%). Diseases information, side effect, indication, and regimen dose of drugs were the most favourite information accessed among medical and health students. Around 80% of medical and health students agree that mobile health apps improve patientâ€™s knowledge on their own disease and medication and helped healthcare professionals on giving education and counseling. In other hand, only 60% medical and health students agree mobile health apps might be use full in learning process and healthcare services. Knowledge, attitude, and practice medical and health students toward mobile health application will be elevated with improving level of health literacy.

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Mobile Health Application and e-Health Literacy: Opportunities and Concerns for Cancer Patients and Caregivers

Journal of Cancer Education ◽

10.1007/s13187-017-1293-5 ◽

2017 ◽

Vol 34 (1) ◽

pp. 3-8 ◽

Cited By ~ 10

Author(s):

Hyunmin Kim ◽

Joy V. Goldsmith ◽

Soham Sengupta ◽

Asos Mahmood ◽

M. Paige Powell ◽

...

Keyword(s):

Health Literacy ◽

Cancer Patients ◽

Mobile Health ◽

Mobile Health Application ◽

Health Application

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Assessment of the pharmacy students e-health literacy and mobile health application utilization

Journal of Research in Pharmacy ◽

10.35333/jrp.2020.125 ◽

2020 ◽

Vol 24 (1) ◽

pp. 1-7

Author(s):

Gözde ÜSTÜN ◽

Sümeyra Lübeyne SÖYLEMEZ ◽

Nazlıcan UÇAR ◽

Mesut SANCAR ◽

Betül OKUYAN

Keyword(s):

Health Literacy ◽

Mobile Health ◽

Pharmacy Students ◽

Mobile Health Application ◽

Health Application

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A User Experience and eHealth Literacy Inspection of a Lab Test Interpretation Mobile App for Citizens

Studies in Health Technology and Informatics - Public Health and Informatics ◽

10.3233/shti210318 ◽

2021 ◽

Author(s):

Helen Monkman ◽

Leah Macdonald ◽

Janessa Griffith ◽

Blake Lesselroth

Keyword(s):

Health Literacy ◽

User Experience ◽

Mobile Health ◽

Mobile App ◽

Test Interpretation ◽

Specialized Training ◽

Ehealth Literacy ◽

Mobile Health Application ◽

Lab Test ◽

Health Application

People are increasingly able to access their laboratory (lab) results using patient-facing portals. However, lab reports for citizens are often identical to those for clinicians; without specialized training they can be near impossible to interpret. In this study, we inspected a mobile health application (app) that converts traditional lab results into a citizen-centred format. We used the Health Literacy Online (HLO) checklist to inspect the app. Our inspection revealed that most of the app’s strengths were related to its Organization of Content and Simple Navigation and most of its weaknesses were related to Engage Users. We also identified several usability and user experience (UX) issues that were beyond the purview of the HLO checklist. Although this app represents an important step towards making lab results universally accessible, we identified several opportunities for improvements that could increase its value to citizens.

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Insights into mobile health application market via a content analysis of marketplace data with machine learning

PLoS ONE ◽

10.1371/journal.pone.0244302 ◽

2021 ◽

Vol 16 (1) ◽

pp. e0244302

Author(s):

Gokhan Aydin ◽

Gokhan Silahtaroglu

Keyword(s):

Machine Learning ◽

Content Analysis ◽

Mobile Health ◽

Current Knowledge ◽

Machine Learning Algorithms ◽

Health Apps ◽

Mobile Health Application ◽

Mobile Health Applications ◽

Health Application ◽

Health Applications

Background Despite the benefits offered by an abundance of health applications promoted on app marketplaces (e.g., Google Play Store), the wide adoption of mobile health and e-health apps is yet to come. Objective This study aims to investigate the current landscape of smartphone apps that focus on improving and sustaining health and wellbeing. Understanding the categories that popular apps focus on and the relevant features provided to users, which lead to higher user scores and downloads will offer insights to enable higher adoption in the general populace. This study on 1,000 mobile health applications aims to shed light on the reasons why particular apps are liked and adopted while many are not. Methods User-generated data (i.e. review scores) and company-generated data (i.e. app descriptions) were collected from app marketplaces and manually coded and categorized by two researchers. For analysis, Artificial Neural Networks, Random Forest and Naïve Bayes Artificial Intelligence algorithms were used. Results The analysis led to features that attracted more download behavior and higher user scores. The findings suggest that apps that mention a privacy policy or provide videos in description lead to higher user scores, whereas free apps with in-app purchase possibilities, social networking and sharing features and feedback mechanisms lead to higher number of downloads. Moreover, differences in user scores and the total number of downloads are detected in distinct subcategories of mobile health apps. Conclusion This study contributes to the current knowledge of m-health application use by reviewing mobile health applications using content analysis and machine learning algorithms. The content analysis adds significant value by providing classification, keywords and factors that influence download behavior and user scores in a m-health context.

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Relationship between the use of a smoking cessation mobile health application and emotional attitudes

Social Behavior and Personality An International Journal ◽

10.2224/sbp.8554 ◽

2020 ◽

Vol 48 (1) ◽

pp. 1-14

Author(s):

Hyeon Gyu Jeon ◽

Kun Chang Lee

Keyword(s):

Smoking Cessation ◽

Mobile Health ◽

Unobserved Heterogeneity ◽

Future Research ◽

Mobile Health Application ◽

Mobile Health Apps ◽

Survey Sample ◽

Map Analysis ◽

Health Application ◽

The Relationship

We designed this study to elucidate the relationship between emotional attitudes of people who smoke and their use of a smoking cessation mobile health application (app), by exploring unobserved heterogeneity in the data. In an importance-performance map analysis performed with 3 groups of university students who smoked cigarettes segmented according to unobserved heterogeneity embedded in the survey sample dataset, we found that anxiety was a relatively important factor. However, its performance was low in relation to app users' smoking cessation intention. This indicates that developers of smoking cessation mobile health apps need to reconsider the emotional attitudes of people who smoke, toward the apps. Limitations and directions for future research are discussed.

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