Play Mode Effect of Exergames on Subthreshold Depression Older Adults: A Randomized Pilot Trial.

BACKGROUND: Subthreshold depression is a common mental disorder in late life. Increasing studies have supported the positive effects of exergames to subthreshold depression. The current study aims to investigate how play mode potentially affects exergames' effects on subthreshold depression among older adults. METHOD: A between-group experiment was carried out to compare the effect of exergames with different play modes. Fifty-two Singaporean older adults with subthreshold depression were randomly assigned into two conditions, and performed either single-player or multiple-player Nintendo Wii Tennis exergames for 6 weeks, while the key variables of depression, social support and loneliness were measured at both pre- and post-study period. RESULTS: Findings from path analysis suggested that older adults in multiple-player exergames experienced lower levels of loneliness, and further more reduction on subthreshold depression, when compared to those in single-player exergames. Although social support was not affected by play mode, the significant relationship among social support, loneliness, and depression was found in the context of exergaming. CONCLUSION: This study not only provides additional insight into a possible causal association lining play mode and health outcomes of exergames, but also opens the discussion of how to optimize antidepressive effect of exergames for older adults.

Self-Care and Health-Information-Seeking Behaviours of Diabetic Patients in Singapore.

Patients in Singapore with chronic conditions such as diabetes are encouraged to participate in patient-professional partnership activities because of rising health care costs and a shortage of infrastructure and human resources. This study explores the self-care and health information seeking behaviors of diabetic patients in Singapore, as well as factors related to health and information carriers that might influence those behaviors. A pilot-tested online survey was developed based on the Comprehensive Model of Information Seeking (CMIS) and notified to the members of the Diabetic Society of Singapore (DSS) through their newsletter in January 2016. In total, 60 usable responses from the DSS members were collected. The survey revealed that more than 30% of the patients did not strictly follow doctors' instructions to regularly exercise, self-monitor blood sugar, and pay attention to type of food prepared at home. However, it was found that the majority of them had consciously limited their sugar intake. It was also revealed that respondents' most frequently used sources of health information were authoritative sources such as doctors/nurses and pamphlets/leaflets from hospitals/clinics. Understandably, respondents experiencing less distress caused by diabetes tended to report better health status, less worries, and stronger beliefs in the efficacy of their methods for diabetes control.

Exergames vs. traditional exercise: investigating the influencing mechanism of platform effect on subthreshold depression among older adults.

OBJECTIVE: This study aimed to examine the influencing mechanism of exercise platform effect on subthreshold depression among older adults by comparing exergames and traditional exercise. METHOD: One hundred and two Singaporean older adults were assigned to either playing Wii exergames or performing traditional exercise programs once a week, for six weeks. RESULTS: Results confirmed a direct negative platform effect on subthreshold depression and further supported the mediation role of positive emotions in the platform effect. It implied that exergames led to higher positive emotions than traditional exercise, which further reduced the subthreshold depression among older adults. Self-efficacy was not supported to be a significant mediator in the relations between exercise platform and subthreshold depression. CONCLUSION: A better understanding of the mechanisms behind the antidepressant effects of exercise platform would not only provide additional insight into a possible causal association, but also inspire the future use of exergames in the treatment of subthreshold depression.

Lessons From the Implementation of Mo-Buzz, a Mobile Pandemic Surveillance System for Dengue.

BACKGROUND: Approximately 128 countries and 3.9 billion people are at risk of dengue infection. Incidence of dengue has increased over the past decades, becoming a growing public health concern for countries with populations that are increasingly susceptible to this vector-borne disease, such as Sri Lanka. Almost 55,150 dengue cases were reported in Sri Lanka in 2016, with more than 30.40% of cases (n=16,767) originating from Colombo, which struggles with an outdated manual paper-based dengue outbreak management system. Community education and outreach about dengue are also executed using paper-based media channels such as pamphlets and brochures. Yet, Sri Lanka is one of the countries with the most affordable rates of mobile services in the world, with penetration rates higher than most developing countries. OBJECTIVES: To combat the issues of an exhausted dengue management system and to make use of new technology, in 2015, a mobile participatory system for dengue surveillance called Mo-Buzz was developed and launched in Colombo, Sri Lanka. This paper describes the system's components and uptake, along with other similar disease surveillance systems. METHODS: We developed Mo-Buzz and tested its feasibility for dengue. Two versions of the app were developed. The first was for use by public health inspectors (PHIs) to digitize form filling and recording of site visit information, and track dengue outbreaks on a real-time dengue hotspot map using the global positioning system technology. The system also provides updated dengue infographics and educational materials for the PHIs to educate the general public. The second version of Mo-Buzz was created for use by the general public. This system uses dynamic mapping to help educate and inform the general public about potential outbreak regions and allow them to report dengue symptoms and post pictures of potential dengue mosquito-breeding sites, which are automatically sent to the health authorities. Targeted alerts can be sent to users depending on their geographical location. RESULTS: We assessed the usage and the usability of the app and its impact on overall dengue transmission in Colombo. Initial uptake of Mo-Buzz for PHIs was low; however, after more training and incentivizing of usage, the uptake of the app in PHIs increased from less than 10% (n=3) to 76% (n=38). The general public user evaluation feedback was fruitful in providing improvements to the app, and at present, a number of solutions are being reviewed as viable options to boost user uptake. CONCLUSIONS: From our Mo-Buzz study, we have learned that initial acceptance of such systems can be slow but eventually positive. Mobile and social media interventions, such as Mo-Buzz, are poised to play a greater role in shaping risk perceptions and managing seasonal and sporadic outbreaks of infectious diseases in Asia and around the world.

FluMob: Enabling Surveillance of Acute Respiratory Infections in Health-care Workers via Mobile Phones.

Singapore is a hotspot for emerging infectious diseases and faces a constant risk of pandemic outbreaks as a major travel and health hub for Southeast Asia. With an increasing penetration of smart phone usage in this region, Singapore's pandemic preparedness framework can be strengthened by applying a mobile-based approach to health surveillance and control, and improving upon existing ideas by addressing gaps, such as a lack of health communication. FluMob is a digitally integrated syndromic surveillance system designed to assist health authorities in obtaining real-time epidemiological and surveillance data from health-care workers (HCWs) within Singapore, by allowing them to report influenza incidence using smartphones. The system, integrating a fully responsive web-based interface and a mobile interface, is made available to HCW using various types of mobile devices and web browsers. Real-time data generated from FluMob will be complementary to current health-care- and laboratory-based systems. This paper describes the development of FluMob, as well as challenges faced in the creation of the system.

A Social Media mHealth Solution to Address the Needs of Dengue Prevention and Management in Sri Lanka.

BACKGROUND: Sri Lanka has witnessed a series of dengue epidemics over the past five years, with the western province, home to the political capital of Colombo, bearing more than half of the dengue burden. Existing dengue monitoring prevention programs are exhausted as public health inspectors (PHIs) cope with increasing workloads and paper-based modes of surveillance and education, characterizing a reactive system unable to cope with the enormity of the problem. On the other hand, the unprecedented proliferation and affordability of mobile phones since 2009 and a supportive political climate have thus far remained unexploited for the use of mobile-based interventions for dengue management. OBJECTIVE: To conduct a needs assessment of PHIs in Colombo with respect to their dengue-related tasks and develop a new mobile-based system to address these needs while strengthening existing systems. METHODS: One-on-one in-depth interviews were conducted with 29 PHIs to a) gain a nuanced, in-depth understanding of the current state of surveillance practices, b) understand the logistical, technological and social challenges they confront, and c) identify opportunities for mobile-based interventions. Quantitative analysis included simple descriptive statistics while qualitative analysis comprised textual analysis of 209 pages of transcripts (or nearly 600 minutes of conversations) using grounded theory approaches. RESULTS: Current paper-based data collection practices for dengue surveillance involved a circuitous, time consuming process that could take between 7-10 days to officially report and record a single case. PHIs confronted challenges in terms of unreliable, standalone GIS devices, delays in registering mosquito breeding sites and lack of engagement from communities while delivering dengue education. These findings, in concert with a high motivation to use mobile-based systems, informed the development of Mo-Buzz, a mobile-based system that integrates three components - digitized surveillance, dynamic disease mapping and digitized dengue education - on a common platform. The system was developed through an iterative, evolutionary, collaborative process, consistent with the Spiral model of software development and is currently being used by all 55 PHIs in the CMC system. CONCLUSIONS: Given the entrenched nature of existing paper-based systems in PHIs' work habits, we expect a gradual adoption curve for Mo-Buzz in the future. Equally, we expect variable adoption of the system with respect to its specific components, and specific PHI sub-groups (younger versus older). The Mo-Buzz intervention is a response to multiple calls by the global mHealth community for collaborations in the area of mobile interventions for global health. Our experience revealed that the benefits of this paradigm lies in alleviating country-specific public health challenges through a commonly shared understanding of cultural mores, and sharing of knowledge and technologies. We call upon future researchers to further dissect the applicability of the Spiral Model of software development to mHealth interventions and contribute to the mHealth evidence debate from theoretical and applied perspectives.

Exergames for Older Adults with Subthreshold Depression: Does Higher Playfulness Lead to Better Improvement in Depression?

OBJECTIVE: The use of exergames is increasingly prevalent in the healthcare promotion among older adults. The current study aimed to examine whether the playfulness may influence the antidepressant effect of exergames on older adults. METHOD: Two experimental conditions, high playfulness (Wii™ Sport games) and low playfulness (Wii Fit™ training), were implemented in a 6-week randomized controlled study. A manipulation check was conducted first to confirm the significant difference in playfulness between the two conditions. A total of 49 community-dwelling older adults diagnosed with subthreshold depression have finished the study. Their depression, positive emotions, and self-efficacy were measured at both pre- and post-test. A multivariate analysis of covariance (MANCOVA) was then conducted between two conditions, with age and gender as the covariates. RESULTS: Findings suggest that older adults in both two exergame conditions have improvements in subthreshold depression [t(48) = 9.48, P < 0.001], positive emotions [t(48) = -12.04, P < 0.001], and self-efficacy [t(48) = -9.78, P < 0.001]. Significant effect of playfulness in exergames was found on positive emotions among older adults [F(3, 47) = 20.82, P < 0.001], although not on subthreshold depression and self-efficacy. CONCLUSION: Results gained from the study will assist in the future implementation and development of exergames that aim to improve mental health among older adults.

Assessing the influence of health literacy on health information behaviors: A multi-domain skills-based approach.

OBJECTIVE: The aim of this study is to investigate the relationship between five domain-specific skills of health literacy: Find Health Information (FHI), Appraise Health Information (AHI), Understand Health Information to act (UHI), Actively Manage One's Health (AMH), and E-health literacy (e-Heals), and health information seeking behaviors and three categories of health outcomes. METHODS: A survey was implemented and data was collected from 1062 college going adults and analyzed using bivariate tests and multiple regression analysis. RESULTS: Among the five domain-specific Health Literacy skills, AHI and e-Heals were significantly associated with the use of traditional sources and the Internet for healthcare information respectively. Similarly and AMH and e-Heals were significantly associated with the use of traditional sources and the Internet for health lifestyle information respectively. Lastly AHI, AMH and e-Heals were significantly associated with the three categories of outcomes, and AFH was significantly associated with cognitive and instrumental outcomes, but not doctor-patient communication outcomes. CONCLUSION: Consumers' ability to use different health sources for both healthcare and health lifestyle information, and the three categories of health outcomes are associated with different domain-specific health literacy skills. PRACTICE IMPLICATIONS: Health literacy initiatives may be improved by focusing on clients to develop domain-specific skills that increase the likelihood of using health information sources and accrue benefits.

Baseline Evaluation of a Participatory Mobile Health Intervention for Dengue Prevention in Sri Lanka.

Challenges posed by infectious disease outbreaks have led to a range of participatory mobile phone-based innovations that use the power of crowdsourcing for disease surveillance. However, the dynamics of participatory behavior by crowds in such interventions have yet to be examined. This article reports results from a baseline evaluation of one such intervention called Mo-Buzz, a mobile-based crowdsource-driven socially mediated system developed to address gaps in dengue surveillance and education in Colombo, Sri Lanka. We conducted a 30-minute cross-sectional field survey (N = 404) among potential users of Mo-Buzz in Colombo. We examined individual, institutional, and cultural factors that influence their potential intention-to-use Mo-Buzz and assessed if these factors varied by demographic factors. Descriptive analysis revealed high perceived ease-of-use (PEOU; M = 3.81, SD = 0.44), perceived usefulness (PU; M = 4.01, SD = 0.48), and intention-to-use (PI; M = 3.91, SD = 0.46) among participants. Analysis of variance suggested participants in the 31 to 40 years age group reported highest PEOU, whereas the oldest group reported high perceived institutional efficacy (M = 3.59, SD = 0.64) and collectivistic tendencies. Significant differences (at the p < .05 level) were also found by education and income. Regression analysis demonstrated that PU, behavioral control, institutional efficacy, and collectivism were significant predictors of PI. We concluded that despite high overall PI, future adoption and use of Mo-Buzz will be shaped by a complex mix of factors at different levels of the public health ecology. Implications of study findings from theoretical and practical perspectives related to the future adoption of mobile-based participatory systems in public health are discussed and ideas for a future research agenda presented.

Predictors of online health information seeking behavior: Changes between 2002 and 2012.

The Internet has become an important and preferred source of health information. Although the literature has highlighted several key predictors that influence an individual's online health information seeking behavior, insufficient attention has been paid to the changes in the predictors' roles and effects over time. This study explores and compares the effects that specific predictors had on online health information seeking behavior over a period of 10 years by integrating and analyzing two Pew datasets collected in 2002 and 2012. Hierarchical regression analyses indicate that socio-demographic factors and overall health condition are significant predictors that had an increasing impact on online health information seeking behavior. However, the impact of Internet usage decreased significantly from 2002 to 2012. A comparison across time contributes to a vertical understanding of the changes in online health information seeking behavior and its predictors and helps health professionals and researchers tailor their informational interventions to meet the up-to-date needs and preferences of users.

Effect of Exergames on Depression: A Systematic Review and Meta-Analysis.

Depression is a major public health concern in current society. In recent years many studies began to investigate the potential benefits of exergames on depression. The current study aimed to provide a systematic review to synthesize the existing studies and discover the overall effect size of exergames on treating depression. A comprehensive literature search was conducted among major bibliographic databases in computer technology, psychology, and medical science. Key study characteristics of participants, interventions, and experiment were extracted in the systematic review. Both studies using independent groups and matched groups were included in meta-analysis. Overall effect size of Hedges' g was calculated, followed by subgroup analyses. Nine studies included in the review, while eight studies applying exergames of Nintendo's Wii or Wii Fit. A random effects meta-analysis on eight studies resulted an overall significant effect size of g = 0.21. Demographic factors, depression severity, number of session, and game type were found to be significant moderators for the effectiveness. The study has not only supported the positive effect of exergames on alleviating depression, but also provided many theoretical and practical implications for health professionals and police makers. More rigorous experimental controlled studies are needed in this new research field.

Social media-based civic engagement solutions for dengue prevention in Sri Lanka: results of receptivity assessment.

This article focuses on a novel social media-based system that addresses dengue prevention through an integration of three components: predictive surveillance, civic engagement and health education. The aim was to conduct a potential receptivity assessment of this system among smartphone users in the city of Colombo, the epicenter of the dengue epidemic in the island country of Sri Lanka. Grounded in Protection Motivation Theory (PMT) and using a convenience sampling approach, the cross-sectional survey assessed perceived severity (PSe), perceived susceptibility (PSu), perceived response efficacy (PRE), perceived self-efficacy (PSE) and intention-to-use (IU) among 513 individuals. The overall receptivity to the system was high with a score of >4.00 on a five-point scale. Participants belonging to younger, better educated and higher income groups reported significantly better perceptions of the efficaciousness of the system, were confident in their ability to use the system, and planned to use it in the future. PMT variables contributed significantly to regression models predicting IU. We concluded that a social media-based system for dengue prevention will be positively received among Colombo residents and a targeted, strategic health communication effort to raise dengue-related threat perceptions will be needed to encourage greater adoption and use of the system.

Depression and Psychosocial Risk Factors among Community-Dwelling Older Adults in Singapore.

Depression is the most common mental and emotional disorder that emerges in the late stages of life. It is closely associated with poor health, disability, mortality, and suicide. The study examines the risk factors of depression in late life, especially the psychosocial factors, among a sample comprising 162 community-dwelling Singaporean adults aged 65 years and above. An interview-based structured survey was conducted in multiple senior activity centers located in different parts of Singapore. Results from the hierarchical regression analysis show that 32.9% of the variance in geriatric depression can be explained by the three psychosocial factors, among which loneliness, perceived social support, and the emotional regulation component of resilience are significantly associated with depression in older adults. Large-scale studies should be conducted to confirm the findings of the present study, and to further examine the predictive effects of these psychosocial factors on depression among older adults.

The Use of Videogames, Gamification, and Virtual Environments in the Self-Management of Diabetes: A Systematic Review of Evidence.

The use of videogames in healthcare interventions is gaining popularity, but there is still a gap in the understanding on how these types of interventions are used for the management of diabetes. The purpose of this review is to examine published research on the use of videogames for diabetes management. With the increased use of mobile technology, the review was expanded to understand whether games, gamification, and virtual environments can be used for diabetes self-management. Out of the 307 articles identified, only 10 articles met the inclusion criteria of the study. The duration of most studies was short, with small sample sizes. All interventions targeted behavioral changes examining risk reduction of diabetes-related risk and promotion of healthy behavior among study participants. Videogames appeared to be helpful tools for education in some interventions, whereas gamification and virtual environments increased extrinsic motivation and provided positive reinforcement. This review concludes by discussing the potential of using videogames and gamification for the self-management of diabetes.

Does psychological resilience mediate the impact of social support on geriatric depression? An exploratory study among Chinese older adults in Singapore.

Social support and resilience were considered to be two significant influential factors for depression in late life. The study aims to present a mediation model for understanding the interrelations among social support, resilience, and geriatric depression. A cross-sectional survey study was conducted among 162 community-dwelling Chinese older adults in Singapore. Findings indicated a significant indirect effect of social support on geriatric depression through the mediation of resilience, by controlling demographic variables. Further, an identical influencing pattern between problem-solving resilience and emotion regulation resilience were found in the two individual models, suggesting a similar mediation role in linking social support and geriatric depression. These results extended and integrated earlier findings on the relationship of psychosocial factors and geriatric depression, and pointed out practical implications for future work on depression interventions.

Game-based digital interventions for depression therapy: a systematic review and meta-analysis.

The aim of this study was to review the existing literature on game-based digital interventions for depression systematically and examine their effectiveness through a meta-analysis of randomized controlled trials (RCTs). Database searching was conducted using specific search terms and inclusion criteria. A standard meta-analysis was also conducted of available RCT studies with a random effects model. The standard mean difference (Cohen's d) was used to calculate the effect size of each study. Nineteen studies were included in the review, and 10 RCTs (eight studies) were included in the meta-analysis. Four types of game interventions-psycho-education and training, virtual reality exposure therapy, exercising, and entertainment-were identified, with various types of support delivered and populations targeted. The meta-analysis revealed a moderate effect size of the game interventions for depression therapy at posttreatment (d=-0.47 [95% CI -0.69 to -0.24]). A subgroup analysis showed that interventions based on psycho-education and training had a smaller effect than those based on the other forms, and that self-help interventions yielded better outcomes than supported interventions. A higher effect was achieved when a waiting list was used as the control. The review and meta-analysis support the effectiveness of game-based digital interventions for depression. More large-scale, high-quality RCT studies with sufficient long-term data for treatment evaluation are needed.

Exploratory qualitative study for community management and control of tuberculosis in India.

Tuberculosis (TB) is a major public health problem in India which accounts for nearly one-fifth of the global TB burden. Though India has been gaining success in eliminating TB, the disease still kills 1000 people daily. It is of prime importance to control the TB situation in India. Motivated by the need to explore factors influencing TB, a qualitative study was conducted with 14 doctors and key TB informants in India over a period of one month involving face-to-face interviews. The interviewees came from diverse backgrounds and vocations, thus providing a rich data on varied issues in controlling the spread of TB in India for enhanced patient care. The data was coded and analyzed. The findings suggest the need to address mental and social well-being of the TB patients through three main themes, namely, Alerts, Care and Education, in order to control the TB situation in India.

A 21st century approach to tackling dengue: Crowdsourced surveillance, predictive mapping and tailored communication.

This paper describes a social media system to prevent dengue in Sri Lanka and potentially in the rest of the South and Southeast Asia regions. The system integrates three concepts of public health prevention that have thus far been implemented only in silos. First, the predictive surveillance component uses a computer simulation to forewarn health authorities and the general public about impending disease outbreaks. The civic engagement component allows the general public to use social media tools to interact and engage with health authorities by aiding them in surveillance efforts by reporting symptoms, mosquito bites and breeding sites using smartphone technologies. The health communication component utilizes citizen data gathered from the first two components to disseminate customized health awareness messages to enhance knowledge and increase preventive behaviors among citizens. The system, known as "Mo-Buzz," will be made available on a host of digital platforms like simple mobile phones, smart phones and a website. We present challenges and lessons learnt including content validation, stakeholder collaborations and applied trans-disciplinary research.

Evidence-based practice and related information literacy skills of nurses in Singapore: an exploratory case study.

Increased demand for medical or healthcare services has meant that nurses are to take on a more proactive and independent role intending to patients, providing basic treatment and deciding relevant clinical practice. This, in turn, translates into the need for nurses to be able to translate research and evidence into their practice more efficiently and effectively. Hence, competencies in looking for, evaluating, synthesizing and applying documented information or evidence-based practice becomes crucial. This article presents a quantitative study that involved more than 300 nurses from a large government hospital in Singapore. A self-reporting questionnaire was developed to collect data pertaining to evidence-based practice and activities, including those that demonstrate information literacy competencies. Results seem to suggest that the nurses preferred to use print and human information sources compared to electronic information sources; were not proactive in looking up research or evidence-based information and, instead, preferred such information to be fed to them; and that they perceived they lacked the ability to evaluate research papers or effectively search electronic information related to nursing or evidence-based practice. It was also found that more than 80% of the nurses have not had any training related to evidence-based practice.

Adopting evidence-based practice in clinical decision making: nurses' perceptions, knowledge, and barriers.

OBJECTIVE: Evidence-based practice (EBP) provides nurses with a method to use critically appraised and scientifically proven evidence for delivering quality health care to a specific population. The objective of this study was to explore nurses' awareness of, knowledge of, and attitude toward EBP and factors likely to encourage or create barriers to adoption. In addition, information sources used by nurses and their literature searching skills were also investigated. METHOD: A total of 2,100 copies of the questionnaire were distributed to registered nurses in 2 public hospitals in Singapore, and 1,486 completed forms were returned, resulting in a response rate of 70.8%. RESULTS: More than 64% of the nurses expressed a positive attitude toward EBP. However, they pointed out that due to heavy workload, they cannot keep up to date with new evidence. Regarding self-efficacy of EBP-related abilities, the nurses perceived themselves to possess moderate levels of skills. The nurses also felt that EBP training, time availability, and mentoring by nurses with EBP experience would encourage them to implement EBP. The top three barriers to adopting EBP were lack of time, inability to understand statistical terms, and inadequate understanding of the jargon used in research articles. For literature searching, nurses were using basic search features and less than one-quarter of them were familiar with Boolean and proximity operators. CONCLUSION: Although nurses showed a positive attitude toward EBP, certain barriers were hindering their smooth adoption. It is, therefore, desirable that hospital management in Southeast Asia, particularly in Singapore, develop a comprehensive strategy for building EBP competencies through proper training. Moreover, hospital libraries should also play an active role in developing adequate information literacy skills among the nurses.