scholarly journals The Usability and Effectiveness of Mobile Health Technology�Based Lifestyle and Medical Intervention Apps Supporting Health Care During Pregnancy: Systematic Review

2017 ◽  
Author(s):  
Sanne B Overdijkink ◽  
Adeline V Velu ◽  
Ageeth N Rosman ◽  
Monique DM van Beukering ◽  
Marjolein Kok ◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Mobile Health ◽  
Health Technology ◽  
Medical Intervention ◽  
Mobile Health Technology

scholarly journals The Usability and Effectiveness of Mobile Health Technology–Based Lifestyle and Medical Intervention Apps Supporting Health Care During Pregnancy: Systematic Review

2018 ◽  
Vol 6 (4) ◽  
pp. e109 ◽  
Author(s):  
Sanne B Overdijkink ◽  
Adeline V Velu ◽  
Ageeth N Rosman ◽  
Monique DM van Beukering ◽  
Marjolein Kok ◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Mobile Health ◽  
Health Technology ◽  
Medical Intervention ◽  
Mobile Health Technology

scholarly journals Mobile Health Technology Interventions for Suicide Prevention: Protocol for a Systematic Review and Meta-Analysis

2018 ◽  
Vol 7 (1) ◽  
pp. e28 ◽  
Author(s):  
Ruth Melia ◽  
Kady Francis ◽  
Jim Duggan ◽  
John Bogue ◽  
Mary O'Sullivan ◽  
...  
Keyword(s):  
Systematic Review ◽  
Suicide Prevention ◽  
Mobile Health ◽  
Meta Analysis ◽  
Health Technology ◽  
Mobile Health Technology ◽  
Prevention Protocol

scholarly journals Characteristics of Adults Seeking Health Care Provider Support Facilitated by Mobile Technology: Secondary Data Analysis (Preprint)

2017 ◽  
Author(s):  
Kelly Bosak ◽  
Shin Hye Park
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Mobile Technology ◽  
Mobile Health ◽  
Health Technology ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Care Providers ◽  
Mobile Health Technology ◽  
Web Based

BACKGROUND Mobile health technology is rapidly evolving with the potential to transform health care. Self-management of health facilitated by mobile technology can maximize long-term health trajectories of adults. Little is known about the characteristics of adults seeking Web-based support from health care providers facilitated by mobile technology. OBJECTIVE This study aimed to examine the following: (1) the characteristics of adults who seek human support from health care providers for health concerns using mobile technology rather than from family members and friends or others with similar health conditions and (2) the use of mobile health technology among adults with chronic health conditions. Findings of this study were interpreted in the context of the Efficiency Model of Support. METHODS We first described characteristics of adults seeking Web-based support from health care providers. Using chi-square tests for categorical variables and t test for the continuous variable of age, we compared adults seeking Web-based and conventional support by demographics. The primary aim was analyzed using multivariate logistic regression to examine whether chronic health conditions and demographic factors (eg, sex, income, employment status, race, ethnicity, education, and age) were associated with seeking Web-based support from health care providers. RESULTS The sample included adults (N=1453), the majority of whom were female 57.60% (837/1453), white 75.02% (1090/1453), and non-Hispanic 89.13% (1295/1453). The age of the participants ranged from 18 to 92 years (mean 48.6, standard deviation [SD] 16.8). The majority 76.05% (1105/1453) of participants reported college or higher level of education. A disparity was found in access to health care providers via mobile technology based on socioeconomic status. Adults with annual income of US $30,000 to US $100,000 were 1.72 times more likely to use Web-based methods to contact a health care provider, and adults with an annual income above US $100,000 were 2.41 to 2.46 times more likely to access health care provider support on the Web, compared with those with an annual income below US $30,000. After adjusting for other demographic covariates and chronic conditions, age was not a significant factor in Web-based support seeking. CONCLUSIONS In this study, the likelihood of seeking Web-based support increased when adults had any or multiple chronic health conditions. A higher level of income and education than the general population was found to be related to the use of mobile health technology among adults in this survey. Future study is needed to better understand the disparity in Web-based support seeking for health issues and the clinicians’ role in promoting access to and use of mobile health technology.

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