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

PLoS ONE ◽  
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.

Perceptions of older men using a mobile health application to monitor lower urinary tract symptoms and tamsulosin side effects: mixed-methods study (Preprint)

2021 ◽  
Author(s):  
Elizabeth Y Wang ◽  
Benjamin N Breyer ◽  
Austin W Lee ◽  
Natalie Rios ◽  
Akinyemi Oni-Orisan ◽  
...  
Keyword(s):  
Side Effects ◽  
Mobile Health ◽  
Mobile Application ◽  
Older Men ◽  
Mobile Health Application ◽  
Urinary Tract Symptoms ◽  
Medication Side ◽  
Mobile Health Applications ◽  
Health Application ◽  
Health Applications

BACKGROUND Mobile health applications may provide an efficient way for patients with lower urinary tract symptoms (LUTS) to log and communicate symptoms and medication side effects with their clinicians. OBJECTIVE To explore the perceptions of older men with LUTS after using a mobile health application to track their symptoms and tamsulosin side effects. METHODS Structured phone interviews were conducted after a 2-week study piloting the daily use of a mobile application to track severity of patient-selected LUTS and tamsulosin side effects. Quantitative and qualitative data were considered. RESULTS Nineteen (100%) pilot study participants completed the post-study interviews. Most men (68%) reported that the daily questionnaires were the right length, with 32% reporting that the questionnaires were too short. Men with more severe symptoms were less likely to report changes in perception of health or changes in self-management; 47% of men reported improved awareness of symptoms and 5% of men adjusted fluid intake based on the questionnaire. All men were willing to share application data with their clinicians. Thematic analysis of qualitative data yielded 8 themes: 1) orientation (setting up app, format, symptom selection, side effect selection), 2) triggers (routine/habit, symptom timing), 3) daily questionnaire (reporting symptoms, reporting side effects, tailoring), 4) technology literacy, 5) perceptions (awareness, causation/relevance, data quality, convenience, usefulness, other apps), 6) self-management, 7) clinician engagement (communication, efficiency), and 8) improvement (reference materials, flexibility, language, management recommendations, optimize clinician engagement). CONCLUSIONS We assessed the perceptions of men using a mobile health application to monitor and improve management of LUTS and medication side effects. LUTS management may be further optimized by tailoring the mobile application experience to meet patients’ individual needs, such as tracking a greater number of symptoms and integrating the application with clinicians’ visits. Mobile health applications are likely a scalable modality to monitor symptoms and improve care of older men with LUTS. Further study is required to determine the best ways to tailor the mobile application and to communicate data to clinicians or incorporate data into the electronical medical record meaningfully.

scholarly journals Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 357
Author(s):  
Chen Wang ◽  
Huiying Qi
Keyword(s):  
Systematic Review ◽  
Influencing Factors ◽  
Mobile Health ◽  
Source Credibility ◽  
Mobile Health Application ◽  
Mobile Health Applications ◽  
The Individual ◽  
Use Behavior ◽  
Health Application ◽  
Health Applications

Purpose/Significance: Mobile health applications provide a convenient way for users to obtain health information and services. Studying the factors that influence users’ acceptance and use of mobile health applications (apps or Apps) will help to improve users’ actual usage behavior. Method/Process: Based on the literature review method and using the Web of Science core database as the data source, this paper summarizes the relevant research results regarding the influencing factors of the acceptance and use behavior of mobile health application users and makes a systematic review of the influencing factors from the perspectives of the individual, society, and application (app or App) design. Result/Conclusion: In terms of the individual dimension, the users’ behavior is influenced by demographic characteristics and motivations. Social attributes, source credibility, and legal issues all affect user behavior in the social dimension. In the application design dimension, functionality, perceived ease of use and usefulness, security, and cost are the main factors. At the end of the paper, suggestions are given to improve the users’ acceptability of mobile health applications and improve their use behavior.

scholarly journals Domain-Adaptive Service Evaluation of Mobile Health Application

2019 ◽  
Author(s):  
Xiaojia Wang ◽  
Kuo Du ◽  
Wei Xia ◽  
Shanshan Zhang ◽  
Weiqun Xu ◽  
...  
Keyword(s):  
Mobile Health ◽  
Evaluation System ◽  
Interaction Information ◽  
Application Service ◽  
Mobile Health Application ◽  
Interactive Algorithm ◽  
Mobile Health Applications ◽  
Health Application ◽  
Content Information ◽  
Health Applications

Abstract Background: In the context of "Internet +" medical treatment, mobile health applications provide services for people in a new way, making it possible for people to carry out health management anytime and anywhere. According to the survey data, the most powerful consumers in the field of mobile health applications are those aged 24 to 35. Thus, it can be seen, it is particularly important to study the preferences of young people for mobile health applications.Methods: This study established a domain-adaptive mobile health application evaluation model based on users’ experience, and used an interactive algorithm combining machine learning and Delphi method to calculate the weight distribution of evaluation factors. Compared with previous studies, the establishment of evaluation index based on user experience of youth groups can more comprehensively measure users' demand for mobile health application service quality. Meanwhile, the mobile health application evaluation system established in this study adopts feedback mechanism to realize dynamic evaluation of mobile health applications.Results: The cognitive level of information (weighting 52%) was only four percentage points higher than the emotional level (weighting 48%). The importance of the four criteria is content information on cognition (weighting 31%), interaction information on emotion (weighting 29%), interaction information on cognition (weighting 21%), and content information on emotion (weighting 19%) in descending order. Among 20 sub-criteria, less disruptive (weighting 17.8%), security (weighting 10.9%), utility (weighting 9.3%), reliability (weighting 8.1%), navigational (weighting 6.7%) occupy an important position.Conclusion: We find that the weights assigned to sociability, personalization, aesthetics, and interestingness accounted for a significant proportion of the total weights assigned; however, universality and learnability were poorly weighted. These results have important reference value for the development of mobile health applications.

A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning

2015 ◽  
Vol 21 (7) ◽  
pp. 567-574 ◽  
Author(s):  
Santiago Jiménez-Serrano ◽  
Salvador Tortajada ◽  
Juan Miguel García-Gómez
Keyword(s):  
Machine Learning ◽  
Postpartum Depression ◽  
Mobile Health ◽  
Mobile Health Application ◽  
Health Application

The prevalence and sociodemographic predictors of mobile health applications ownership among cancer survivors.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e24046-e24046
Author(s):  
Gideon T Dosunmu ◽  
Kobina Kwantsin Hagan ◽  
Chike Udoye ◽  
Moh'd M. Khushman
Keyword(s):  
Cancer Survivors ◽  
Mobile Health ◽  
Employment Status ◽  
Limited Resources ◽  
Health Apps ◽  
Sociodemographic Predictors ◽  
Mobile Health Applications ◽  
Mobile Health Apps ◽  
Growing Population ◽  
Health Applications

e24046 Background: The transition of cancer patients from patients to survivors is challenging. Cancer survivors often experience chronic physical, social and mental health needs which remain largely unmet. Due to the growing population of cancer survivors and limited resources available to address their needs, mobile health applications (apps) have emerged to help cancer patients in assuming their new role as survivors. Here, we explored the prevalence and sociodemographic predictors of mobile health apps ownership among Cancer Survivors in the United States using a nationally representative sample. Methods: Data from cycles 1 (2017) and 2 (2018) of the 5th edition of the Health Information National Trends Survey (HINTS 5) was reviewed. Descriptive statistics was used to evaluate the sociodemographic characteristics and the prevalence of mobile health apps ownership among cancer survivors. Univariate logistic regression models were used to explore the relationship between sociodemographic predictors and mobile health apps ownership. Results: We identified 1,097 (weighted estimate of 44,666,781) individuals who self-reported having been diagnosed with cancer in the . Of these, 57.39% were females, 79% were whites, 47.18% had 2 or more medical comorbidities, 63.7% were unemployed and about 50% were aged 65 or more. Prevalence of mobile health apps ownership was 44.82%. Among all the sociodemographic variables; educational level (p = 0.015), income (p = 0.014) and employment status (p < 0.005) were predictors of mobile health apps ownership among cancer. Conclusions: Cancer survivors are digitally connected and can be approached through mobile health apps. In our study, the prevalence of mobile health apps ownership in cancer survivors was 44.8%. Educational level, income and employment status were identified as predictors of mobile health apps ownership. Due to the growing population of cancer survivors and limited resources available to address their needs, efforts to address barriers of mobile health apps adoption and utilization should be encouraged.

scholarly journals Content Analysis of Mobile Health Applications on Diabetes Mellitus

2017 ◽  
Vol 8 ◽  
Author(s):  
Syarafina Izahar ◽  
Qi Ying Lean ◽  
Mohammed Abdul Hameed ◽  
Muthu Kumar Murugiah ◽  
Rahul P. Patel ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Content Analysis ◽  
Mobile Health ◽  
Mobile Health Applications ◽  
Health Applications

Mobile Health Applications Assisting Patients With Chronic Diseases

2018 ◽  
pp. 1391-1417
Author(s):  
Petre Iltchev ◽  
Andrzej Śliwczyński ◽  
Potr Szynkiewicz ◽  
Michał Marczak
Keyword(s):  
Health Care ◽  
Chronic Disease ◽  
Chronic Diseases ◽  
Mobile Health ◽  
Health Care Information ◽  
Application Development ◽  
Mobile Health Application ◽  
Health Care Information Systems ◽  
Mobile Health Applications ◽  
Health Applications

This chapter analyzes the role of m-health applications supporting patients with chronic diseases (based on examples from asthma care). The purpose of the chapter is to describe the mobile health application development cycle. The chapter begins with a presentation of asthma as a chronic disease and its prevalence and costs for society, as a determinant of the role and place of m-health applications in chronic disease management. Subsequent sections analyze trends in the development of health care, information systems, and health care payment systems as components of the environment for the implementation of m-health applications. The chapter focuses on prerequisites for the introduction of this type of solutions, presents existing applications, and discusses how to define the key functionalities and benefits for patients, payers, and doctors. The financing cycle, barriers to implementation, and future trends are also addressed.

Mobile Health Applications Assisting Patients with Chronic Diseases

2016 ◽  
pp. 170-196 ◽  
Author(s):  
Petre Iltchev ◽  
Andrzej Śliwczyński ◽  
Potr Szynkiewicz ◽  
Michał Marczak
Keyword(s):  
Health Care ◽  
Chronic Disease ◽  
Chronic Diseases ◽  
Mobile Health ◽  
Health Care Information ◽  
Application Development ◽  
Mobile Health Application ◽  
Health Care Information Systems ◽  
Mobile Health Applications ◽  
Health Applications

This chapter analyzes the role of m-health applications supporting patients with chronic diseases (based on examples from asthma care). The purpose of the chapter is to describe the mobile health application development cycle. The chapter begins with a presentation of asthma as a chronic disease and its prevalence and costs for society, as a determinant of the role and place of m-health applications in chronic disease management. Subsequent sections analyze trends in the development of health care, information systems, and health care payment systems as components of the environment for the implementation of m-health applications. The chapter focuses on prerequisites for the introduction of this type of solutions, presents existing applications, and discusses how to define the key functionalities and benefits for patients, payers, and doctors. The financing cycle, barriers to implementation, and future trends are also addressed.

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

2021 ◽  
Vol 6 (1) ◽  
pp. 29-38
Author(s):  
Julaeha Julaeha ◽  
◽  
Devi Solikhati ◽  
Keyword(s):  
Health Literacy ◽  
Health Services ◽  
Mobile Health ◽  
Technology Application ◽  
Health Apps ◽  
Attitude And Practice ◽  
Mobile Health Application ◽  
Mobile Health Apps ◽  
Health Application ◽  
Knowledge Attitude And Practice

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 patient’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.

scholarly journals Pengembangan Aplikasi Mobile Health Berbasis Android untuk Monitoring dan Evaluasi Stunting

2020 ◽  
Vol 15 (1) ◽  
pp. 24-32
Author(s):  
Atika Hendryani ◽  
Ernia Susana
Keyword(s):  
Mobile Health ◽  
System Development ◽  
Maternal Knowledge ◽  
Ministry Of Health ◽  
Mobile Health Application ◽  
Mobile Health Applications ◽  
The Government ◽  
Two Stages ◽  
Health Application ◽  
Development Methods

In 2018 Indonesia still ranked fifth as the country with the highest number of stunting in the world. A better level of a mother’s knowledge can decrease about 4% to 5% in the possibility of stunting in children. Efforts to increase maternal knowledge about the importance of preventing stunting in the first thousand days of life are not only the responsibility of the government, especially the Ministry of Health. The mass media are also responsible for providing knowledge to mothers. One of the most widely used media in accessing news and information is through mobile devices such as mobile phones. From this background the problem of this research can be formulated is how to build an Android-based mobile health application for monitoring and preventing stunting. The purpose of this research is to build an Android-based mobile health for stunting monitoring and prevention. The research method is Research and Development consists of two stages, the Research Phase using qualitative methods and the Development Phase using FAST system development methods. The research was conducted at the Poltekkes of the Ministry of Health Jakarta II, Department of Electromedical Engineering from January to December 2019. The results of the study are android mobile health applications for monitoring and evaluating stunting. From the result of system testing, the mobile health application for monitoring and evaluating stunting could  work well.

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