Effectiveness of using SOKARY Mobile Application on compliance of the patient with Type II diabetes: A quasi-experimental study. (Preprint)

Mobile health applications are an easy, friendly access method for enhancing patient’s compliance and overall health status. This study aimed to evaluate the effectiveness of using mobile health applications on patients’ compliance. A Quasi-experimental design was used with a purposeful sample of 150 subjects who have been diagnosed with type II diabetes were recruited. SOKARY android mobile application diabetes App was selected mobile health application in Arabic interface included many features as recording blood glucose level, nutrition and physical activity with medication reminders and healthy lifestyle advice notifications. The findings showed that the effectiveness of post-using the Mobile App on patient’s compliance is statistically significant 52.64+5.1, (p=0.000). Obviously, the improvement is statistically significant as recognized in lowering the level of HbA1c (p> 0.029) and BMI (p>0.006) and increasing level of activity (p>0.002) and overall patient’s compliance (p>0.004). In conclusion, the results reported significant improvement in patients’ compliance and highly recommended to utilize such mobile health applications among patients to prevent the complications of Type II diabetes. Keywords:SOKARY Mobile Application, type II diabetes, patient’s compliance, HbA1c, level of activity, BMI.

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

10.2196/preprints.30767 ◽

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.

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Mobile Health Applications Assisting Patients With Chronic Diseases

Application Development and Design ◽

10.4018/978-1-5225-3422-8.ch059 ◽

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.

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Mobile Health Applications Assisting Patients with Chronic Diseases

Advances in Healthcare Information Systems and Administration - M-Health Innovations for Patient-Centered Care ◽

10.4018/978-1-4666-9861-1.ch009 ◽

2016 ◽

pp. 170-196 ◽

Cited By ~ 1

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.

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Promoting Health via Mobile Health Applications: Adaptation and Validation of a French Version of the Mobile App Rating Scale (Preprint)

JMIR mhealth and uhealth ◽

10.2196/30480 ◽

2021 ◽

Author(s):

Ina Saliasi ◽

Prescilla Martinon ◽

Emily Darlington ◽

Colette Smentek ◽

Delphine Tardivo ◽

...

Keyword(s):

Mobile Health ◽

Rating Scale ◽

Mobile App ◽

French Version ◽

Mobile Health Applications ◽

Health Applications

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

Healthcare ◽

10.3390/healthcare9030357 ◽

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.

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Smartphone applications in the prevention of Type 2 Diabetes Mellitus: a protocol for a systematic review

10.1101/2020.05.18.20106211 ◽

2020 ◽

Author(s):

Esrat Jahan ◽

Rawan Almansour ◽

Kiran Ijaz ◽

Rimante Ronto ◽

Liliana Laranjo

Keyword(s):

Diabetes Mellitus ◽

Systematic Review ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Mobile Health ◽

Healthy Lifestyle ◽

Mobile Health Applications ◽

The Impact ◽

Health Applications

Diabetes mellitus is a leading cause of concern among non-communicable diseases worldwide, with its prevalence increasing every day. Studies have shown that it is possible to prevent type 2 diabetes in high risk people if they adopt a healthy lifestyle, such as exercising regularly, eating nutritious food and maintaining an ideal weight. Mobile apps may aid these people in maintaining a healthy lifestyle. Till date, no systematic review has evaluated the use of mobile health applications for the prevention of type 2 diabetes. In this systematic review protocol we will lay out the methods we will use to synthesise the evidence about mobile health applications for the prevention of type 2 diabetes, focusing particularly on their impact on different process and outcome measures, as well as on patient perspectives. Database searches will be done in PubMed, Embase, CINAHL and PsychInfo. Screening of the articles will be conducted by two independent researchers. The Cochrane risk of bias tool will be used for quality assessment. A narrative synthesis of the included articles will be done and the results summarised. The findings of this review will provide evidence on the impact of mobile applications in preventing Type 2 diabetes mellitus.

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Mobile Health Applications Assisting Patients With Chronic Diseases

Healthcare Policy and Reform ◽

10.4018/978-1-5225-6915-2.ch049 ◽

2019 ◽

pp. 1076-1103

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.

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Mobile app validation: a digital health scorecard approach

npj Digital Medicine ◽

10.1038/s41746-021-00476-7 ◽

2021 ◽

Vol 4 (1) ◽

Author(s):

Ramy Sedhom ◽

Michael J. McShea ◽

Adam B. Cohen ◽

Jonathan A. Webster ◽

Simon C. Mathews

Keyword(s):

Mobile Health ◽

Group Performance ◽

Digital Health ◽

Evaluation Criteria ◽

Mobile App ◽

End User ◽

Clinical Value ◽

Mobile Health Applications ◽

Health Applications

AbstractWhile digital health solutions continue to grow in number and in complexity, the ability for stakeholders in healthcare to easily discern quality lags far behind. This challenge is in part due to the lack of a transparent and standardized approach to validation. Evaluation of mobile health applications (apps) is further burdened by low barriers to development and direct-to-user marketing, leading to a crowded and confusing landscape. In this context, we investigated the pragmatic application of a previously described framework for digital health validation, the Digital Health Scorecard, in a cohort of 22 popular mobile health oncology apps. The apps evaluated using this framework performed poorly, scoring 49.4% across all evaluation criteria as a group. Performance across component domains varied considerably with cost scoring highest at 100%, usability at 56.7%, technical at 37.3%, and clinical at 15.9%. satisfaction of prospectively determined end-user requirements derived from patient, family, and clinician consensus scored 37.2%. While cost outperformed consistently and usability was adequate, the results also suggested that apps suffered from significant technical limitations, were of limited clinical value, and generally did not do what end users wanted. These large gaps further support the need for transparent and standardized evaluation to help all stakeholders in healthcare improve the quality of mobile health.

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Domain-Adaptive Service Evaluation of Mobile Health Application

10.21203/rs.2.18220/v1 ◽

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.

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