scholarly journals Mobile health applications and health management behaviors: A cost/benefits approach (Preprint)

10.2196/21251 ◽  
2020 ◽  
Author(s):  
Rita Mano
Keyword(s):  
Mobile Health ◽  
Health Management ◽  
Cost Benefits ◽  
Mobile Health Applications ◽  
Management Behaviors ◽  
Health Applications

scholarly journals Mobile health applications and health management behaviors: A cost/benefits approach (Preprint)

2020 ◽  
Author(s):  
Rita Mano
Keyword(s):  
Home Care ◽  
Mobile Health ◽  
Mobile Applications ◽  
Health Management ◽  
Home Care Services ◽  
Care Services ◽  
Situational Effects ◽  
Mobile Health Applications ◽  
Management Behaviors ◽  
Health Applications

BACKGROUND Rising criticisms about the effectiveness and risks associated with the growing use of mobile health, applications necessitate a critical perspective regarding the effectiveness of the link between use of mobile health applications, health attitudes and health behaviors. OBJECTIVE we introduce a “costs/benefits” perspective to examine how health situational effects including health crises, health changes and hospitalization affect the likelihood to adopt lifestyle and health management behaviors. METHODS A sample of 1495 US adults (PEW, 2012) and a set of multiple regression models RESULTS while the use of mobile health applications empowers users to reconsider health concerns, reach health decisions and seek further consultation yet, the existence of situational effects moderates the empowering effect of applications and decreases the likelihood of adopting health management behaviors CONCLUSIONS a costs/benefits perspective captures the push/pull factors associated with the effectiveness of mobile applications use in-home care in order to properly address the costs and benefits of mobile applications use and support home care services.

scholarly journals Design Considerations for Mobile Health Applications Targeting Older Adults

2021 ◽  
Vol 79 (1) ◽  
pp. 1-8
Author(s):  
Clara Li ◽  
Judith Neugroschl ◽  
Carolyn W. Zhu ◽  
Amy Aloysi ◽  
Corbett A. Schimming ◽  
...  
Keyword(s):  
Older Adults ◽  
Mobile Health ◽  
Health Management ◽  
Care Delivery ◽  
Mobile Technologies ◽  
Full Potential ◽  
Design Considerations ◽  
Aging Populations ◽  
Mobile Health Applications ◽  
Health Applications

Mobile technologies are becoming ubiquitous in the world, changing the way we communicate and provide patient care and services. Some of the most compelling benefits of mobile technologies are in the areas of disease prevention, health management, and care delivery. For all the advances that are occurring in mobile health, its full potential for older adults is only starting to emerge. Yet, existing mobile health applications have design flaws that may limit usability by older adults. The aim of this paper is to review barriers and identify knowledge gaps where more research is needed to improve the accessibility of mobile health use in aging populations. The same observations might apply to those who are not elderly, including individuals suffering from severe mental or medical illnesses.

scholarly journals Active Usage of Mobile Health Applications: Cross-sectional Study (Preprint)

2020 ◽  
Author(s):  
Yang Wang ◽  
Tailai Wu ◽  
Zhuo Chen
Keyword(s):  
Mobile Health ◽  
Consumer Satisfaction ◽  
Structural Equation ◽  
Health Management ◽  
Equation Modeling ◽  
Survey Method ◽  
Cross Sectional ◽  
Mobile Health Applications ◽  
Consumer Dissatisfaction ◽  
Health Applications

BACKGROUND Mobile health applications are being increasingly used for people’s health management. The different uses of mobile health applications lead to different health outcomes. Although active usage of mobile health applications is shown to be linked to the effectiveness of mobile health services, the factors that influence people’s active usage of mobile health applications are not well studied. OBJECTIVE This paper aims to examine the antecedents of active usage of mobile health applications. METHODS Grounded on the 3-factor theory, we proposed 10 attributes of mobile health applications that influence the active usage of mobile health applications through consumers’ satisfaction and dissatisfaction. We classified these 10 attributes into 3 categories (ie, excitement attributes, performance attributes, and basic attributes). Using the survey method, 494 valid responses were collected and analyzed using structural equation modeling. RESULTS Our analysis results revealed that both consumer satisfaction (β=0.351, <i>t</i>=6.299, <i>P</i>&lt;.001) and dissatisfaction (β=–0.251, <i>t</i>=5.119, <i>P</i>&lt;.001) significantly influenced active usage. With regard to the effect of attributes, excitement attributes (β=0.525, <i>t</i>=12.861, <i>P</i>&lt;.001) and performance attributes (β=0.297, <i>t</i>=6.508, <i>P</i>&lt;.001) positively influenced consumer satisfaction, while performance attributes (β=–0.231, <i>t</i>=3.729, <i>P</i>&lt;.001) and basic attributes (β=–0.412, <i>t</i>=7.132, <i>P</i>&lt;.001) negatively influenced consumer dissatisfaction. The results of the analysis confirmed our proposed hypotheses. CONCLUSIONS Our study provides a novel perspective to study the active usage of mobile health applications. By categorizing the attributes of mobile health applications into 3 categories, the differential effects of different attributes can be tested. Meanwhile, consumer satisfaction and dissatisfaction are confirmed to be independent from each other.

Malaria Geo-Localization with Mobile-Health Applications

2015 ◽  
Author(s):  
Roberto Moro Visconti ◽  
Alberto Larocca ◽  
Michele Marconi
Keyword(s):  
Mobile Health ◽  
Mobile Health Applications ◽  
Health Applications

EFFECTIVNESS OF SPECIFIC MOBILE HEALTH APPLICATIONS (mHEALTH-APPS)in GESTATIONAL DIABTETES MELLITUS: A SYSTEMATIC REVIEW (Preprint)

2020 ◽  
Author(s):  
Claudia Eberle ◽  
Maxine Löhnert
Keyword(s):  
Mobile Health ◽  
Cochrane Library ◽  
Clinical Parameters ◽  
Control Groups ◽  
Manual Search ◽  
Mobile Health Applications ◽  
Short And Long Term ◽  
Mhealth Apps ◽  
Health Applications

BACKGROUND Gestational diabetes mellitus (GDM) emerges worldwide and is closely associated with short- and long-term health issues in women and their offspring, such as pregnancy and birth complications respectively comorbidities, Type 2 Diabetes (T2D), Metabolic Syndrome (MetS) as well as cardiovascular disease (CD). Against this background mobile health applications (mHealth-Apps) do open up new possibilities to improve the management of GDM clearly. OBJECTIVE Since there is – to our knowledge – no systematic literature review published, which focusses on the effectiveness of specific mHealth-Apps on clinical health-related short and long-term outcomes of mother and child, we conducted these much-needed analyses. METHODS Data sources: A systematic literature search in Medline (Pubmed), Cochrane Library, Embase, CINAHL and Web of Science was performed including full text publications since 2008 up to date. An additional manual search in references and Google Scholar was conducted subsequently. Study Eligibility Criteria: Women diagnosed with GDM using specific mHealth-Apps during pregnancy compared to control groups, which met main clinical parameters and outcomes in GDM management as well as maternity and offspring care. Study appraisal and synthesis methods: Study quality was assessed and rated “strong”, “moderate” or “weak” by using the Effective Public Health Practice Project (EPHPP) tool. Study results were strongly categorized by outcomes; an additional qualitative summary was assessed. Study selection: Overall, n= 114 studies were analyzed, n= 46 duplicates were removed, n=5 studies met the eligible criteria and n=1 study was assessed by manual search subsequently. In total, n=6 publications, analyzing n=408 GDM patients in the interventional and n=405 women diagnosed with GDM in the control groups, were included. These studies were divided into n=5 two-arm randomized controlled trials (RCT) and n=1 controlled clinical trial (CCT). RESULTS Distinct improvements in clinical parameters and outcomes, such as fasting blood glucoses (FBG), 2-hour postprandial blood glucoses (PBG), off target blood glucose measurements (OTBG), delivery modes and patient compliance were analyzed in GDM patients using specific mHealth-Apps compared to matched control groups. CONCLUSIONS mHealth-Apps clearly improve clinical outcomes in management of GDM effectively. More studies need to be done more in detail.

Mobile Health Applications to Support COVID-19 Self-management: Review and Evaluation

2021 ◽  
Author(s):  
Sahar Khenarinezhad ◽  
Ehsan Ghazanfari Savadkoohi ◽  
Leila Shahmoradi
Keyword(s):  
Mobile Health ◽  
Mobile Apps ◽  
Healthcare Providers ◽  
Vital Signs ◽  
Complete Information ◽  
Self Management ◽  
Management Measures ◽  
Management Procedures ◽  
Mobile Health Applications ◽  
Health Applications

Aim: During the epidemic and with an increase in coronavirus (COVID-19) disease prevalence, emergency care is essential to help people stay informed and undertake self-management measures to protect their health. One of these self-management procedures is the use of mobile apps in health. Mobile health (mHealth) applications include mobile devices in collecting clinical health data, sharing healthcare information for practitioners and patients, real-time monitoring of patient vital signs, and the direct provision of care (via mobile telemedicine). Mobile apps are increasing to improve health, but before healthcare providers can recommend these applications to patients, they need to be sure the apps will help change patients' lifestyles. Method: A search was conducted systematically using the keywords "Covid-19," "Coronavirus," "Covid-19, and Self-management" at the "Apple App Store". Then we evaluated the apps according to MARS criteria in May 2020. Results: A total of 145 apps for COVID-19 self-management were identified, but only 32 apps met our inclusion criteria after being assessed. The overall mean MARS score was 2.9 out of 5, and more than half of the apps had a minimum acceptability score (range 2.5-3.9). The "who academy" app received the highest functionality score. Who Academy, Corona-Care and First Responder COVID-19 Guide had the highest scores for behavior change. Conclusion: Our findings showed that few apps meet the quality, content, and functionality criteria for Covid-19 self-management. Therefore, developers should use evidence-based medical guidelines in creating mobile health applications so that, they can provide comprehensive and complete information to both patients and healthcare provider.

How mobile health applications can help treat depression

2017 ◽  
Vol 33 (9) ◽  
pp. 1-6
Author(s):  
Adam Rosenfeld ◽  
Sachin Pendse ◽  
Nicole R. Nugent
Keyword(s):  
Mobile Health ◽  
Mobile Health Applications ◽  
Health Applications

Integrating a mobile health applications for self-management to enhance Telecare system

2018 ◽  
Vol 35 (4) ◽  
pp. 815-825 ◽  
Author(s):  
Hao-Yun Kao ◽  
Chun-Wang Wei ◽  
Min-Chun Yu ◽  
Tyng-Yeu Liang ◽  
Wen-Hsiung Wu ◽  
...  
Keyword(s):  
Mobile Health ◽  
Self Management ◽  
Mobile Health Applications ◽  
Health Applications
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