scholarly journals Creating Smarter Spaces to Unleash the Potential of Health Apps

2018 ◽  
pp. 134-145
Author(s):  
Jean-Marie Bonnin ◽  
Valérie Gay ◽  
Frédéric Weis
Keyword(s):  
Health Apps

Veterans Affairs and the Department of Defense mental health apps: A systematic literature review.

2019 ◽  
Vol 16 (2) ◽  
pp. 196-207 ◽  
Author(s):  
Christine E. Gould ◽  
Brian C. Kok ◽  
Vanessa K. Ma ◽  
Aimee Marie L. Zapata ◽  
Jason E. Owen ◽  
...  
Keyword(s):  
Mental Health ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Department Of Defense ◽  
Veterans Affairs ◽  
Health Apps

Evaluating the readiness of mobile technology in Saudi Arabia: An Integrative Perspective with respect to e-health (Preprint)

2020 ◽  
Author(s):  
Fahad Alanezi
Keyword(s):  
Saudi Arabia ◽  
Health System ◽  
Mobile Phones ◽  
Personal Data ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Health Apps ◽  
History Of ◽  
Vision 2030 ◽  
Awareness Programs

UNSTRUCTURED E-health system is emerging and providing health services and solutions through different electronic gadgets. Saudi Arabia has launched a program called Saudi Arabia vision 2030, in which providing state-of-the-art health facilities to their citizen is of topmost priority. After all the efforts, the residents of Saudi Arabia are still reluctant for the adaptation of e-health system. The current study was conducted to evaluate the obstacle in adoption of the e-health system through the mobile phones. The current study was cross-sectional survey and was conducted by developing a self-administered structured questionnaire asking the utilization of mobile phone in state of health emergency prior to ask any medical history. Majority of the participants was married and doing jobs in different firms and have their personal mobile phones (p = 0.100, > 0.05) which indicates easily access to the e-health apps. The majority of the participants suffers from either obesity or high blood pressure (p = 0.018, < 0.05) regardless of either history of mental disorder or other family history of mental diseases. The pattern of diseases with mental disorders correlate well with adoption of e-health in government policies. The obstacles in adopting e-health includes fear of the loss of personal data and information (p = 0.0401, < 0.05). Moreover, they did not trust on online medications as the doctor cannot prescribe medicines without seeing physical health of the patient. The current study concluded that by making improvement in policies and proper commercializing the e-health apps together with awareness programs can boast the adoption of e-health in Saudi Arabia.

Assessment and Prediction of Privacy Concerns on Health Apps (Preprint)

2020 ◽  
Author(s):  
Reham AlTamime ◽  
Vincent Marmion ◽  
Wendy Hall
Keyword(s):  
Data Sharing ◽  
Mobile Applications ◽  
Retention Rate ◽  
Mobile Apps ◽  
Third Party ◽  
Privacy Concerns ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Specific Factors ◽  
And Control

BACKGROUND Mobile apps and IoT-enabled smartphones technologies facilitate collecting, sharing, and inferring from a vast amount of data about individuals’ location, health conditions, mobility status, and other factors. The use of such technology highlights the importance of understanding individuals’ privacy concerns to design applications that integrate their privacy expectations and requirements. OBJECTIVE This paper explores, assesses, and predicts individuals’ privacy concerns in relation to collecting and disclosing data on mobile health apps. METHODS We designed a questionnaire to identify participants’ privacy concerns pertaining to a set of 432 mobile apps’ data collection and sharing scenarios. Participants were presented with 27 scenarios that varied across three categorical factors: (1) type of data collected (e.g. health, demographic, behavioral, and location); (2) data sharing (e.g., whether it is shared, and for what purpose); and, (3) retention rate (e.g., forever, until the purpose is satisfied, unspecified, week, or year). RESULTS Our findings show that type of data, data sharing, and retention rate are all factors that affect individuals’ privacy concerns. However, specific factors such as collecting and disclosing health data to a third-party tracker play a larger role than other factors in triggering privacy concerns. CONCLUSIONS Our findings suggest that it is possible to predict privacy concerns based on these three factors. We propose design approaches that can improve users’ awareness and control of their data on mobile applications

scholarly journals Patients’ adherence to smartphone apps in the management of bipolar disorder: a systematic review

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Marie-Camille Patoz ◽  
Diego Hidalgo-Mazzei ◽  
Bruno Pereira ◽  
Olivier Blanc ◽  
Ingrid de Chazeron ◽  
...  
Keyword(s):  
Systematic Review ◽  
Bipolar Disorder ◽  
Mobile Health ◽  
Smartphone Apps ◽  
Exclusion Criteria ◽  
Future Studies ◽  
Health Apps ◽  
Definition Of ◽  
Bipolar Patients ◽  
Digital Or

Abstract Background Despite an increasing number of available mental health apps in the bipolar disorder field, these tools remain scarcely implemented in everyday practice and are quickly discontinued by patients after downloading. The aim of this study is to explore adherence characteristics of bipolar disorder patients to dedicated smartphone interventions in research studies. Methods A systematic review following PRISMA guidelines was conducted. Three databases (EMBASE, PsychInfo and MEDLINE) were searched using the following keywords: "bipolar disorder" or "mood disorder" or “bipolar” combined with “digital” or “mobile” or “phone” or “smartphone” or “mHealth” or “ehealth” or "mobile health" or “app” or “mobile-health”. Results Thirteen articles remained in the review after exclusion criteria were applied. Of the 118 eligible studies, 39 did not provide adherence characteristics. Among the selected papers, study length, sample size and definition of measures of adherence were strongly heterogeneous. Activity rates ranged from 58 to 91.6%. Conclusion The adherence of bipolar patients to apps is understudied. Standardised measures of adherence should be defined and systematically evaluated in future studies dedicated to these tools.

scholarly journals Examining Protection Motivation and Network Externality Perspective Regarding the Continued Intention to Use M-Health Apps

2021 ◽  
Vol 18 (11) ◽  
pp. 5684
Author(s):  
Yumei Luo ◽  
Guiping Wang ◽  
Yuwei Li ◽  
Qiongwei Ye
Keyword(s):  
Self Efficacy ◽  
Network Externalities ◽  
Network Externality ◽  
Intention To Use ◽  
Protection Motivation ◽  
Direct Impact ◽  
Perceived Vulnerability ◽  
Response Efficacy ◽  
Health Apps ◽  
Direct Network

M-health apps have developed rapidly and are widely accepted, but users’ continued intention to use m-health apps has not been fully explored. This study was designed to obtain a better understanding of users’ continued intention to use m-health apps. We developed a theoretical model by incorporating the protection motivation theory and network externalities and conducted an empirical study of a 368-respondent sample. The results showed that: (1) perceived vulnerability has a direct impact on users’ self-efficacy and response efficacy; (2) self-efficacy and response efficacy have a direct impact on users’ attitudes and continued intention; (3) network externalities affect users’ attitudes and continued intention, among which direct network externalities have an indirect impact on users’ continued intention through attitude; and (4) the impacts of self-efficacy, response efficacy, and indirect network externalities on continued intention are partially meditated by attitudes.

scholarly journals Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers

2021 ◽  
Author(s):  
Martin Hensher ◽  
Paul Cooper ◽  
Sithara Wanni Arachchige Dona ◽  
Mary Rose Angeles ◽  
Dieu Nguyen ◽  
...  
Keyword(s):  
Full Range ◽  
Evaluation Framework ◽  
Bibliographic Databases ◽  
Health Organizations ◽  
Health Apps ◽  
Search Terms ◽  
Evaluative Criteria ◽  
Mobile Health Apps ◽  
Threshold Filter ◽  
Individual Clinician

Abstract Objective The study sought to review the different assessment items that have been used within existing health app evaluation frameworks aimed at individual, clinician, or organizational users, and to analyze the scoring and evaluation methods used in these frameworks. Materials and Methods We searched multiple bibliographic databases and conducted backward searches of reference lists, using search terms that were synonyms of “health apps,” “evaluation,” and “frameworks.” The review covered publications from 2011 to April 2020. Studies on health app evaluation frameworks and studies that elaborated on the scaling and scoring mechanisms applied in such frameworks were included. Results Ten common domains were identified across general health app evaluation frameworks. A list of 430 assessment criteria was compiled across 97 identified studies. The most frequently used scaling mechanism was a 5-point Likert scale. Most studies have adopted summary statistics to generate the total scoring of each app, and the most popular approach taken was the calculation of mean or average scores. Other frameworks did not use any scaling or scoring mechanism and adopted criteria-based, pictorial, or descriptive approaches, or “threshold” filter. Discussion There is wide variance in the approaches to evaluating health apps within published frameworks, and this variance leads to ongoing uncertainty in how to evaluate health apps. Conclusions A new evaluation framework is needed that can integrate the full range of evaluative criteria within one structure, and provide summative guidance on health app rating, to support individual app users, clinicians, and health organizations in choosing or recommending the best health app.

The effects of mobile apps on stress, anxiety, and depression: overview of systematic reviews

2020 ◽  
pp. 1-11
Author(s):  
Fatemeh Khademian ◽  
Azam Aslani ◽  
Peivand Bastani
Keyword(s):  
Mental Health ◽  
Systematic Reviews ◽  
Behavioral Activation ◽  
Behavioral Therapy ◽  
Mobile Apps ◽  
Conclusive Evidence ◽  
Anxiety And Depression ◽  
Health Apps ◽  
Acceptance And Commitment ◽  
Overview Of Systematic Reviews

Abstract Objectives Despite a large number of mobile apps in the field of mental health, it is difficult to find a useful and reliable one, mainly due to the fact that the effectiveness of many apps has not been assessed scientifically. The present study aimed to assess the effects of mental health apps on managing the symptoms of stress, anxiety, and depression. Methods A comprehensive literature search was conducted in PubMed, Scopus, EMBASE, Cochrane, and Web of Science databases for the papers published from 2000 to 2019. Studies were included if they reviewed articles or mobile apps for their effectiveness in stress, anxiety, and depression. The reviews that had considered mobile apps or web-based mobile applications as an intervention or part of intervention were included, as well. Results A total of 4,999 peer-reviewed articles were identified, out of which nine systematic reviews met the inclusion criteria. Seven systematic reviews measured depression outcomes, three measured stress, and five systematic reviews measured anxiety symptoms. The applications that used behavior change strategies, such as Cognitive Behavioral Therapy, Acceptance and Commitment Therapy, and Behavioral Activation, reported significant effects on depression, anxiety, and stress. Conclusion It seems that mental health apps can be promising media for reducing depressive symptoms. This field is an emerging area of mobile health, and further research should be done in future in order to reach conclusive evidence.

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