Mood self-assessment on smartphones

Khue, Le Minh; Ouh, Eng Lieh; Jarzabek, Stan

doi:10.1145/2811780.2811921

“…Another growing area of mHealth is monitoring and tracking mental health conditions with mobile devices and sensing technology. Mobile technology makes it possible to extend mood self-assessment, from lab to real life, by the collection of mood data, frequently, over a long time, and in different life situations [30]. Improving data collection for conditions such as mental health increases the opportunity for early intervention and improves outcomes.…”

Section: Mobile Technologymentioning

confidence: 99%

Present and Future Trends in Consumer Health Informatics and Patient-Generated Health Data

Lai¹,

Hsueh²,

Choi³

et al. 2017

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SummaryObjectives: Consumer Health Informatics (CHI) and the use of Patient-Generated Health Data (PGHD) are rapidly growing focus areas in healthcare. The objective of this paper is to briefly review the literature that has been published over the past few years and to provide a sense of where the field is going. Methods: We searched PubMed and the ACM Digital Library for articles published between 2014 and 2016 on the topics of CHI and PGHD. The results of the search were screened for relevance and categorized into a set of common themes. We discuss the major topics covered in these articles. Results: We retrieved 65 articles from our PubMed query and 32 articles from our ACM Digital Library query. After a review of titles, we were left with 47 articles to conduct our full article survey of the activities in CHI and PGHD. We have summarized these articles and placed them into major categories of activity. Within the domain of consumer health informatics, articles focused on mobile health and patient-generated health data comprise the majority of the articles published in recent years. Conclusions: Current evidence indicates that technological advancements and the widespread availability of affordable consumer-grade devices are fueling research into using PGHD for better care. As we observe a growing number of (pilot) developments using various mobile health technologies to collect PGHD, major gaps still exist in how to use the data by both patients and providers. Further research is needed to understand the impact of PGHD on clinical outcomes. KeywordsConsumer health information/methods; patient-generated health data; mHealth; user-computer interface; consumer participation in delivery of health careYearb Med Inform 2017:152-9 http://dx

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“…Current mHealth apps can be categorised in terms of individual prevention disease [14][15][16][17][18][19][20][21][22][23], personal health safety [24], improving health [25,], improving well-being [26][27][28][29], and giving advice on response to treatment [30]. Evidently, many of available mHealths apps on the market are not grounded in theory.…”

Section: Resultsmentioning

confidence: 99%

“…In basic research and in clinical practice, pen-and-paper mood scales are normally used. Research work of [29)] presented the used mobile technology to extend mood self-assessment from lab to real life, by introducing mobile mood scales (MMS). MMS uses visual effects such as color, changing brightness, animation, and photos.…”

Section: Trends Of Mhealth Appsmentioning

confidence: 99%

A Survey on Trend, Opportunities and Challenges of mHealth Apps

Jusoh

¹

2017

Int. J. Interact. Mob. Technol.

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Abstract-Advancement of mobile technologies such as smartphones and PC tablets has given a great impact on healthcare systems. The mobile technology offers innovative approaches to addressing complex health concerns. Many mobile health applications (mHealth apps) are currently available on marketplaces. These apps are designed to facilitate various health issues and problems, and are intended to be used outside clinics. However, very little research has been conducted to address trend, opportunities, and challenging issues of the apps. The purpose of this study is to investigate the current state of mHealth. A literature survey was conducted. Major findings of this study include, smartphones will be the major platform for mHealth apps, the number of published software is much higher than published scientific research, current mHealth apps lacking in grounded based theory and evaluation, and security and usability issues are still vulnerable. The findings suggest that involvement of all healthcare stakeholders is critical to the success of mHealth apps.Keywords-mHealth apps; mobile computing; smartphoness IntroductionMobile technology has changed and will continue to change the life of millions of people around the globe. It is a technology which allows a computing device not to be connected to any fixed physical link. Examples of mobile computing devices are smartphones, laptops, tablets, e-book readers, cameras, and so on; the most powerful and attractive one is smartphones. It incorporates all aspects of computing application and wireless communications.Nearly 85% of the world population will have access to 3G wireless coverage, with the half of the population living in areas with 4G networks in year 2017 [1]. The growth of smartphones has far-reaching implications for eHealth [2]. The word eHealth was defined in [3] as "a relation to health services delivery such as healthcare, health system, health sector or health industry which suggests that eHealth refer more to services and systems rather than to the health of people". Smartphones have become a common device in healthcare settings; leading to rapid growth in the development of mHealth apps [4].

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“…Mobile technology makes it possible to extend mood self-assessment, from lab to real life, by the collection of mood data, frequently, over a long time, and in different life situations [30]. Improving data collection for conditions such as mental health increases the opportunity for early intervention and improves outcomes.…”

Section: Mobile Technologymentioning

confidence: 99%

Present and Future Trends in Consumer Health Informatics and Patient-Generated Health Data

Lai¹,

Hsueh²,

Choi³

et al. 2017

View full text Add to dashboard Cite

SummaryObjectives: Consumer Health Informatics (CHI) and the use of Patient-Generated Health Data (PGHD) are rapidly growing focus areas in healthcare. The objective of this paper is to briefly review the literature that has been published over the past few years and to provide a sense of where the field is going. Methods: We searched PubMed and the ACM Digital Library for articles published between 2014 and 2016 on the topics of CHI and PGHD. The results of the search were screened for relevance and categorized into a set of common themes. We discuss the major topics covered in these articles. Results: We retrieved 65 articles from our PubMed query and 32 articles from our ACM Digital Library query. After a review of titles, we were left with 47 articles to conduct our full article survey of the activities in CHI and PGHD. We have summarized these articles and placed them into major categories of activity. Within the domain of consumer health informatics, articles focused on mobile health and patient-generated health data comprise the majority of the articles published in recent years. Conclusions: Current evidence indicates that technological advancements and the widespread availability of affordable consumer-grade devices are fueling research into using PGHD for better care. As we observe a growing number of (pilot) developments using various mobile health technologies to collect PGHD, major gaps still exist in how to use the data by both patients and providers. Further research is needed to understand the impact of PGHD on clinical outcomes. KeywordsConsumer health information/methods; patient-generated health data; mHealth; user-computer interface; consumer participation in delivery of health careYearb Med Inform 2017:152-9 http://dx

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Mood self-assessment on smartphones

Cited by 13 publications

References 17 publications

Present and Future Trends in Consumer Health Informatics and Patient-Generated Health Data

Present and Future Trends in Consumer Health Informatics and Patient-Generated Health Data

A Survey on Trend, Opportunities and Challenges of mHealth Apps

Present and Future Trends in Consumer Health Informatics and Patient-Generated Health Data

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