Day 2 :
Keynote Forum
Eduardo J Simoes
University of Missouri, USA
Keynote: Development and utlity of the online priority health index
Time : 09:45-10:30
Biography:
Eduardo J. Simoes, is Chair, Stuart Wesbury and HMI Alumni Distinguished Professor of the Department of Health Management and Informatics-University of Missouri School of Medicine (2011-current). His medical degree is from Faculdade de Medicina, Universidade de Pernambuco-Brazil (1976-1981), diploma&master of sciences degree from University Of London School Of Hygiene Tropical Medicine (1986-1987) and master of public health degree from Emory University School of Public Health (1989-1991). He is a fellow of the American College of Epidemiology, reviewer and editor for 12 journals. He published over 100 peer-reviewed publications, eight book chapters and 18 reports. He presented at 150 conferences.
Abstract:
Because public health funds are limited we created the priority health Indices (PHIs) for diseases (PHI-DZ) and risk factors (PHI-RF) to prioritize health issues for a specific geographical area or population. Use of PHIs precludes the need to draw indicator comparisons between local and other geographical areas or populations. PHI-DZ for a local area requires calculation of 20 measures and 12 indicators across 51 diseases groups. PHI-RF for a local area requires calculation of 10 measures and 6 indicators across 12 risk factors. PHIs are a weighted measure which harmonizes information from multiple indicators across many diseases or risk factors in two steps. First, we standardize and re-scale indicators to generate dimensionless and positive scores. Second, we used scores to generate PHIs in three ways: the sum of the priority ranked values of original indicators; the product and the sum of squares. PHI-RF has been used to prioritize health issues in Brazil (2015) and Italy (2010). A simplified version of both PHIs has been used in Missouri since 2002. Conducting PHI offline has limited use of the local public health practice. We used PHP and MySQL database to further develop two PHIs web applications. In the applications, we integrated
R software for statistical analysis required to generate PHIs. PHIs Applications allow users to upload surveillance data and prioritize health issues locally. It also allows for simultaneous computing PHIs for multiple local areas. We use data from 27 Brazilian capital cities in 2000-2012 to demonstrate PHIs utility as a web-based application.
Keynote Forum
Marie-Pierre Gagnon
Laval University, Canada
Keynote: A systematic review of ehealth interventions for healthy ageing
Time : 10:30-11:15
Biography:
Marie-Pierre Gagnon is Full professor at the Faculty of Nursing, Laval University and researcher at the Research Center of the Centre Hospitalier de Québec-Université Laval. Since 2012, she has held the Tier 2 Canada Research Chair in Technologies and Practices in Health. Her research program focuses on the evaluation of information and communication technologies (ICT) for health, organisational and individual determinants of ICT adoption and integration in the healthcare system, patient and public involvement in health care decisions, systematic reviews and best practices in knowledge translation and application.
Abstract:
Healthy ageing (HA) refers to active engagement with life, optimal cognitive and physical functioning and low risk of disease that enables older people to participate within their limitations and continue to be physically, cognitively, socially and spiritually active. As the use of information and communication technologies increases among older adults, ehealth could represent an effective means to promote HA. However, the evidence regarding ehealth interventions for HA is sparse. This systematic review aims to provide a synthesis of the effectiveness of ehealth interventions for supporting HA. Following the Cochrane Collaboration methods, we conducted standardized searches in 8 bibliographic databases to identify experimental and quasi-experimental studies evaluating the effectiveness of ehealth interventions for HA. We included any type of ehealth interventions targeting adults aged 50 or more, living in the community or in an institutional arrangement. We excluded interventions targeting a specific pathology, people with terminal illness, hospitalised in-patients, or older adults with severe impaired cognition. Outcomes of interest were: wellbeing, quality of life, activities of daily living, leisure activities, knowledge, social support, skill acquisition and healthy behaviours. Two reviewers independently assessed studies for inclusion and extracted data using a standardised tool. The searches identified a total of 7039 publications, of which 60 were kept for further assessment. From these, we included 11 studies (described in 17 papers) that met all inclusion criteria. Five studies were conducted in the USA, and the remaining six in Europe. Three studies assessed the use of computers and social networks in everyday life. They found no effect on cognitive function, depression, activities of daily living, well being and quality of life, but some effects on executive function, social contacts, and learning. Eight studies focusing on mobile and web-based health promotion interventions found mixed effects on physical activity and diet. No adverse effects were reported. There is some evidence of the effectiveness of ehealth interventions to improve the physical dimension of HA. However, most studies have important limitations, such as small samples and high attrition rate. In conclusion, support for the effectiveness of ehealth interventions to promote healthy ageing is still needed given the limited number of rigorous studies published.
- Biomedical Informatics | Medical Informatics and Imaging Informatics | Obstetrics
Location: London, UK
Chair
Eduardo J Simoes
University of Missouri, USA
Co-Chair
Marie-Pierre Gagnon
Laval University, Canada
Session Introduction
Sina Iluyemi
Healthtronics Ltd, UK
Title: Making digital health work better
Time : 11:35-12:05
Biography:
Sina Iluyemi is qualified as a Dental Surgeon and a Masters in Public Health (Dental) from Queen Mary’s University of London and a PhD in Health Informatics (eHealth Innovation & Policy) from University of Portsmouth. He has a Diploma in Dental Public Health from the Royal College of Surgeons England. His specialties include eHealth, mHealth, telemedicine , digtal health, health policy, innovation and strategy. Presently, he is the Founder and Lead Consultant at HEALTHTRONICS
Consulting based in London, UK.
Abstract:
Health systems all over the world are struggling to meet up with medical services being demanded by their citizens and are facing crippling rising health care costs. An effective adoption and utilisation of digital health technologies is one of the strategies being implemented to mitigate these national and organisational problems. The aim is to offer strategies about how governments,
companies, start-ups and regulators can work together to make digital health economy serve the needs of patients, citizens, health professionals, hospitals and payers. National governments, hospitals and clinics (Implementers) have invested into and implemented various digital health technologies. On the other hand, multinationals, companies, start-ups and entrepreneurs (Developers) have
started new businesses offering shining new gadgets, apps and services. This creates a dichotomy. The implements are focussed on health system efficiency, cost-minimisation and enhancing the quality of care that patients receive. Whilst, the Developers preferred the personalisation of healthcare; whereby they invent and sell devices and apps to citizens and consumers to promote wellbeing and
wellness. The progress so far is encouraging, but impact on patient outcomes and evidence of cost-effectiveness haven’t materialised yet. And the markets for consumer-centric digital health technologies have yet to grow as expected. Strategies are how to align the interests of the implementers with the developers. To propose a system of partnership where innovation, adoption and utilisation are fostered in a mutually beneficial manner.
Geneviève Rouleau
Laval University, Canada
Title: Online training to support nurses accompanying people living with HIV with medication adherence
Time : 12:05-12:35
Biography:
Genevieve Rouleau has a Masters of Nursing Science from Faculty of Nursing, University de Montreal, Canada. She is now a doctoral candidate at Faculty of Nursing, University of Laval, under the supervision of Marie-Pierre Gagnon and Jose Cote. Her research interests are based on the development and evaluation of virtual nursing interventions as well as the effects of information and communication technologies on nursing care. She has been working at the at the Research Chair in Innovative Nursing Practices at the CRCHUM in Montreal city for more than nine years.
Abstract:
A virtual nursing intervention (VIH-TAVIETM) was evaluated both quantitatively and qualitatively (Côté et al., 2015a, b) to empower people living with HIV (PLHIV) to help them in managing their antiretroviral therapy (ART). Despite the impact of such approach in supporting ART intake among patients, few studies address educational strategies targeting nurses to support their practices regarding medication adherence. This underlines the importance of the present study, which aims to develop and implement an online training program targeting nurses who support PLHIV in their ART taking. The goal of this presentation is to describe the developmental stages of this online training as well as preliminary results, which pertain to the content of the e-learning initiative. A qualitative design will be used throughout the research process. Data collected through various methods (e.g. dialogue and open discussions, semi-structured interviews, focus group) among nurses who care for PLHIV in Quebec is ongoing. The developmental evaluation approach is being conducted to facilitate innovation development in a complex environment (Patton, 2011, 2016). The
content of the online training will include: the elements of nursing practice that can be fostered by educational strategies, useful tools to guide practice, as well as knowledge adapted from VIH-TAVIETM. A working committee composed of different nurse profiles (e.g management, education, clinical, research) supports the development phase of the online training. It is hoped that the online training will broaden the nurses repertoire of interventions and knowledge. Ultimately, a revamped care offer could have positive
repercussions on the health of patients.
Loc Nguyen
Sunflower Soft Company, Vietnam
Title: Phoebe - A framework of fetal age and weight estimation
Time : 12:35-13:05
Biography:
Loc Nguyen is Director of Sunflower Soft Company, Vietnam from 2011. He holds Postdoctoral degree in Computer Science, certified by INSTICC in 2015. He serves as a reviewer and editor in many international journals and conferences since 2014. He is volunteer of Statistics Without Borders since 2015. He is granted as Mathematician by London Mathematical Society and awarded as Professor by International Journal of Applied Mathematics and Machine Learning from 2016. He has published 37 papers, including 6 ISI papers from 2009. He is the author of 2 scientific books from 2015 and creator of 5 science and technology products from 2004.
Abstract:
Fetal age and weight estimation plays the important role in pregnant treatments. There are many estimate formulas created by the combination of statistics and obstetrics. However, such formulas give an optimal estimation if and only if they are applied into specified community or ethnic group with characteristics of such ethnic group. This research proposes a framework that supports scientists to discover and create new formulas more appropriate to the community or region where scientists do their research. The discovery algorithm used in the framework is the core of the architecture of the framework. This algorithm is based on heuristic assumptions, which aims to produce a good estimate formula as fast as possible. Moreover, the framework gives facilities to scientists
for exploiting useful information under pregnant statistical data.
Pei-Ying Chuang
University of Texas, USA
Title: Translational neuroscience trajectory-Big Data with bench evidence and clinical outcomes
Time : 14:05-14:35
Biography:
Pei-Ying Chuang earned her PhD and Postdoctoral Fellowship from the University of Pittsburgh. as a Research Fellow at the National Institutes of Health, her research contributed to an understanding of the neuroprotective biomarkers, neuro-immune responses and pathophysiological mechanisms in the brain. She has received research funding and recognition in a specific field of neuroscience. Chuang continues to use her experiences and abilities to pursue her research/ academic strategies and explore a translational research from the bench evidence to bedside practice in neurological populations in both the critical care setting and long-term recovery. The Center for Stroke Disparities Solution of the Langone Medical Center at New York University/Columbia University/SUNY (2014) has selected Chuang in 2014 as a cohort-one Stroke Scholar.
Abstract:
A wide-range of existing bench evidence and clinical outcome data has contributed to novel biological patterns and medical decisions in human health, disease and medicine. However, the lack of high-value phenotype vs. genetics interpretation between biological knowledge and clinical outcome still remains.
Purpose: To combine translational neuroscience studies with standardized-structure dataset and to establish significant brain-neuron protective knowledge with early medical intervention.
Method: 314 subjects enrolled in three prospective data sets were used. Clinical data were collected at neuro-trauma acute care units at two level-one trauma and stroke medical centers in the U.S. Inclusion criteria were basic characteristics, vital bedside and laboratory results, and neurological assessment tools (Glasgow Coma Scale, Glasgow Outcome Scale, and Disability Rankin Scale). Clinical diagnosis with cerebral hypoxia/ischemia was based on CT and MRI results. Bench evidence data were neuroglobin protein expression and neuroglobin genetic variation through peripheral blood and cerebro-spinal fluid during the first fourteen days after hospital admission.
Conclusion: Evidence-based medicine and personalized medicine were identified to provide a more effective health intervention approach and outcome prediction. Medical Bioinformatics technologies and main systematic concepts (biological mechanisms, physical condition, and functional outcomes) take into account the needs of the neurological survivors.
Future Direction: Health information technology systems and human genetics explore important advances in both basic science research and clinical care. A successful data analysis, trajectory will benefit robust clinical informatics systems and address the interaction of personalized genetic discoveries.
Ronald R O’Donnell
Arizona State University, USA
Title: Internet and Mhealth approaches to integrated behavioral healthcare assessment
Time : 14:35-15:05
Biography:
Ronald O’Donnell is a clinical professor and Program Manager, International Programs, in the Arizona State University College of Health Solutions. He is president of SunCrane Health Solutions. O’Donnell is the founding director of the Doctor of Behavioral Health program and other educational initiatives focused on workforce training for integrated behavioral health. He is the Principle Investigator of the PCORI research grant on integrated care with Banner Health in Phoenix Arizona. O’Donnell has also lectured and provided training for physicians and other health professionals in China and Southeast Asia. He is an advocate of incorporating the Internet and mHealth behavior change resources into the practice of integrated behavioral health.
Abstract:
Increased prevalence of noncommunicable chronic disease (NCD) has led to a global crisis and calls for improved prevention and disease management initiatives. In the United States the Affordable Care Act (ACA) has led to primary care based health care transformation designed to improve NCD prevention and management. New models of primary care delivery, such as the
Patient Centered Medical Home and Accountable Care Organization are examples. A key component of transformation is integrated behavioral health; primary care, team-based, coordinated treatment of medical, lifestyle (e.g., nutrition, physical activity) and behavioral conditions (e.g., depression, alcohol abuse) that underlie and are associated with poor NCD outcomes. This presentation will review two Internet-based approaches to assessment of integrated behavioral health services in primary care. First, results of the Provider Integration Profile (PIP), an Internet-based questionnaire designed to measure levels of integrated behavioral health in primary care, will be reviewed. Second, the design of a new Internet-based Health Risk Assessment (HRA), “My Health and Happiness Manager” (MHHM) will be reviewed. The MHHM is based on existing measures of health risk that are applicable in both Western and Asian populations. The presentation will include a survey of research on the relationship between level of primary care integration, health risk, and treatment clinical and cost outcomes.
Lisette van Gemert-Pijnen
University of Twente, Netherlands
Title: Design for safety: Epic pillars for games in healthcare
Time : 15:05-15:35
Biography:
Lisette is director of Center eHealth& Wellbeing Research at the University of Twente and a full professor Persuasive Health Technology at University of Twente,
adjunct professor at University of Waterloo (Canada) and senior researcher at University Medical Center Groningen.
Abstract:
What makes technology now truly empathic? How to develop designs that matter?
We apply the EPIC for change model for persuasive and empathic designs. EPIC stands for:
• Engagement: Creating experience, flow using persuasive strategies and triggers in development, using positive psychology
concepts;
• Personalization: How to personalize technologies to various user profiles and usage context (e.g. location, current activity)?
• Integration: How to create technologies that are implementable in practice and environments, and adaptable to people?
• Connectivity: How to develop social networks for self-organizing communities?
• Change: Refers to individuals, communities, and society; creating smart environments with persuasive technology for solving
societal challenges.
This EPIC model grounds the design of persuasive technology for complex healthcare situations.
Case study: safety first, dilemmas in zoonotic outbreak management
Animal-human, or zoonotic, transmission of communicable diseases carries considerable economic and public health burdens that could increase exponentially as antimicrobial resistance grows worldwide and new zoonoses emerge. At least 60% of all human diseases and 75% of all emerging infectious diseases in the past six decades were caused by zoonotic pathogens. Currently professionals are not supported in dealing with zoonotic outbreaks or in prevention of outbreaks in high-risk environments. Therefore, we developed a game-based learning environment, eZoon, to: (1) support risk communication of professionals in decision making for infection control, and (2) to enhance their skills to communicate empathically with patients and the general public. eZoon is iteratively designed in co-creation with end-users and stakeholders create trust, engagement with personalized technology. The theoretical foundation for the design and implementation of eZoon rests solidly in the holistic CeHRes-Roadmap that integrates the EPIC concepts. Starting with a contextual inquiry, and value specification, functional requirements are documented using Volere templates. A working prototype of eZoon is currently being designed in co-creation with stakeholders and target group, following our EPIC design approach. To attune the information to different users, personas and use-case scenarios are developed based on the contextual inquiry results to serve as a linking pin in the design process, as well as to support the agile development process. Within the game, users will be asked what to do during an outbreak, what they think the implications of their decisions are, and how to communicate
with patients / the general public to create awareness and to support self-care. While playing, a smart algorithm evaluates the players learning progress and provides real time feedback to stimulate both reflection-in-action while playing the game and reflection onaction after playing the game.