Smart health and intelligent systems for health and wellbeing

Exploring factors driving smartphone users’ health-related behaviour change: An application of the Theory of Planned Behaviour (DHA2019-39)

​

Author/s: Annie Yang Lu

Abstract: With the rapid growth of connectivity in the past decades, many people rely on their electronic devices such as smartphones and tablets. However, excessive use of electronic devices potentially brings about negative effects on the individuals’ psychological states. One potential reason can be that excessive time spent on electronic devices decreases their level of physical activities and increases risks in poor health. Given that using smart healthcare services can encourage the users to participate in physical activities, acceptance and use of the smart healthcare services may initiate the individuals’ health-related behaviour change and enhance their psychological well-being. This research aims at exploring factors driving the acceptance of smart healthcare services on the basis of the Theory of Planned Behaviour and examining potential psychological outcomes of health-related behaviour change.

 

​

Listen, Nudge, and Empower: A Data Analytics-Driven Mobile Application for Mental Well-Being (DHA2019-04)

​

Author/s: Eugene Choy, Martius Lim, Gladys Ng and Kyong Jin Shim

Abstract: Suicide is a global phenomenon in all regions of the world. It is one of the leading causes of unnatural deaths. The 2018 World Health Organization report indicates that over 800,000 people die by suicide annually. In Singapore, more cases of elderly suicide are being reported in recent years. In particular, for the youth age group, suicide is known to be the leading cause of their deaths. The impact of suicide on the deceased’s family members and communities is devastating and long-lasting. While not all instances of suicidal ideation may lead to self-harm and suicidal acts, it places individuals at an increased risk of suicide. Suicide deaths are preventable if early detection and early intervention can take place. For many individuals, the thought of taking one’s life does not happen overnight, and there are known warning signs of depressive and suicidal behaviors. Gratitude is known to improve mental well-being and reduce suicidal ideation. Furthermore, recent studies have shown that playing action games can improve cognition and prevent stress and depression. In this study, we present a mobile application for mental well-being. It encourages regular gratitude journaling and releasing of negative emotions via casual games. The mobile application monitors, tracks and analyzes users' activities, and it provides analytics on their mental well-being.

 

​

Therapeutic Efficiency of Nuanxinkang on Chronic Heart Failure by BATMAN－TCM Online Bioinformatics Analysis Tool and Vivo Experimental Validation (DHA2019-14)

​

Author/s: Tianhui Yuan, Lingjun Wang, Zheng Zhou, Yusheng Huang, Lu Lu, Shaoxiang Xian, Wenjie Long and Zhongqi Yang

Abstract: Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine (BATMAN－TCM) is an online bioinformatics analysis tool, and the core idea of this method is ranking potential drug- target interactions based on their similarity to the known drug-target interactions. Nuanxinkang (NXK), a Chinese herbal formula, was reported to have the effect of treating chronic heart failure (CHF). In this study, we predict the therapeutic efficiency of NXK on CHF by BATMAN－TCM online analysis tool and vivo experimental validation. We utilized the BATMAN - TCM to predict the potential targets, pathways and diseases of the each herbal of Nuanxinkang (Red ginseng and Pubescent Holly Root ).Then we constructed an ingredients - targets - diseases network to predict its efficiency on CHF. In order to verify the prediction, CHF mice model, created by transverse aortic constriction (TAC), was treated by NXK for 8 weeks and its cardiac function and myocardial remodeling were evaluated. The results of BATMANT－TCM analysis show that NXK has therapeutic efficiency on heart failure and plays a significant role on related pathways of heart failure. What’s more，the results of vivo experiment shows that NXK can obviously improve the left ventricular ejection fraction (LVEF) (P＜0. 05) and left ventricular end systolic dimension (LVDS) (P＜0. 05) of TAC mice model. The prediction of BATMAN－TCM is relatively reliable, which meet the results of the experiment. Moreover, NXK has potential therapeutic efficiency on CHF．

 

​

Accuracy, Inter-Rater Reliability in Data Management Small and Medium-sized ICU in China: A Retrospective Study of Self-developed Point of Care Database (DHA2019-20)

​

Author/s: Yile Ning, Wenjie Long, Xinfeng Lin, Weitao Chen and Zhongqi Yang

Abstract: A great many medical staffs of small and medium-sized intensive care unit in China still use paper forms or outdated database management system to manage data, which may increase their workload. In this study, we use APACHE II and SOFA scoring systems to evaluate the accuracy and consistency of self-developed point of care database. In this study, validity and reliability were tested in a retrospective cohort of 290 patients. Gold standard of APACHE II and SOFA scoring systems were used software online. The use of self-developed point of care database to calculate APACHE II score showed a higher intraclass correlation coefficient than paper form (0.99877 versus 0.98051, P＜0.05). Similar results are also seen in SOFA scores. In addition, medical staffs in ICU spent less time in calculating complicated scoring systems with self-developed point of care database (P＜0.05). The pattern of self-developed point of care database is a promising way to simplify ICU workflow as a complementary tool of hospital information system, especially for the small and medium-sized ICU with less financial support. As doctors are more aware of the problems encountered in clinical practice, self-developed point of care database may offer a much more flexible approach to manage data in intensive care unit.