The document discusses mHealth and the NIH's role in supporting related research. It defines mHealth as using mobile technologies like phones and sensors to improve healthcare. The NIH funds mHealth through grants and initiatives. Challenges include the fast pace of tech versus slow funding cycles. The NIH hosts workshops and trainings to foster collaboration and develop evidence-based mHealth research.
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Using Mobile Technologies in Health Research at NIH
1. NIH and mHealth Wendy Nilsen, PhD Office of Behavioral and Social Sciences Research National Institutes of Health
2. The NIH Mission: … science in pursuit of fundamental knowledge about the nature and behavior of living systems and the application of that knowledge to extend healthy life and reduce the burdens of illness and disability.
14. “ At it’s most complete, the exposome encompasses life-course environmental exposures (including lifestyle factors), from the prenatal period onwards…” -- Christopher Paul Wild Exposomics
15. Genome Exposome Together these lead to whether disease occurs or health is promoted… Kevin Patrick, UCSD, NCI U01 CA130771
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22. LUCAS- Mobile Microscope LUCAS images of CD4+ and CD8+ T cells compared to a regular microscope image .. LUCAS microscope Photos from Karin Nielsen and Aydogan Ozcan Computer software automatically interprets images at remote site Cell phone transmits image Karin Nielsen, UCLA, FIC, R24TW008811 A. OZCAN, 1R21EB009222-01 Problem: Create a low-cost quality microscope to use in low resources settings. Solution: A specially-developed lens fits to a cell phone to create a microscope Field testing : Malawi, Mozambique and Brazil
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27. Problem: Patients with CVD have symptoms that frequently bring them to emergency care where there is limited baseline data Solution: Remote monitoring to create physiological cardiac activity “fingerprints” that alert professionals and patient when there are irregularities based on their own cardiac patterns Vladimir Shusterman, PinMed, NHLBI, R43-44 HL0771160, R41HL093953 Cardiac Disease Management Longitudinal pattern recognition Subject Center Cell Phone or Computer Connection Adapting parameters Subject Healthcare professional Adapting parameters
33. Adherence Monitoring (Uganda) Jessica Haberer, Partners Healthcare NIMH K23MH087228 Problem: Adherence to chronic disease medications is poor. In resource-poor settings, getting people medication is only part of the solution Solution: Wireless medication canisters that signal medication timing, transmit adherence data and allow resources to target the non-compliant
34. Walter Curiso, MD, University of Peruana FIC R01TW007896 Adverse Event Monitoring (Peru) Problem: Following at-risk patients for adverse events in low- to medium resource countries is expensive/impractical Solution: Wireless adverse events reporting and database improves patient and community care Real time data via IVR on cell phones Secure database Queries on demand via Internet Real time alerts via E-mail Real time alerts via SMS Communication back to the field via cell phones Urban and rural areas Of Peru
Wireless penetration is 96% in the US and 78% of the world Wireless has leap-frogged the wired infrastructure in low and middle income countries with rates between 41-90% (average 78%) mHealth leverages existing mobile technology infrastructure (mobile phones, wireless networks, etc) for data collection, health monitoring and intervention
In 2007 the NIH funded a major effort to establish a foundation for large scale Gene-Environment Interaction studies, recognizing that in order to conduct meaningful studies we needed to have a much stronger technological base in both genome-wide association studies and personal exposure assessment. This project is one of 32 projects funded by the GEI’s Exposure Biology Program to establish that foundation in exposure assessment. The group lead by NJ Tao at Arizona State has developed a sensor system that measures volatile aromatic hydrocarbons and acidic vapors with a sensitivity right at the level that we need for environmental epidemiology studies – in the ppb to ppm range. The goal here is to be able to move beyond assigning everyone in a given geographical region an ‘average’ exposure level to assessing individual exposures as people go about their daily routine.
The proposal was submitted under the Frameworks Program for Global Health Signature Innovations Initiative and is co-funded with ARRA money from the Office of the NIH Director and FIC The intent of this one year ARRA pilot project is to train post-doctoral students from Schools of Medicine, Public Health and Engineering to work together to create, test, validate, and evaluate a device that contains a lens-free microscope attached to a portable hand-held device, such as wireless cell phone, for point-of-care surveillance and diagnosis of infectious diseases in resource-limited settings. The top image shows the Lenseless Ultra-wide-field Cell monitoring Array platform based on Shadow imaging (LUCAS) technology, developed by Aydogan Ozcan (co-PI), which relies on digital holography to generate signature images from the shadows of cells. The resolution of LUCAS is comparable to a conventional microscope (bottom left image), but at a fraction of the cost and in a portable format that can be used in the field or in low resource settings. Bottom right: The microscope can be inserted into a cell phone or other mobile device. The captured images are then sent to a computer equipped with software that uses the specific diffraction properties of cells for interpretation and results, much like in a microarray reader. In this proposal, the focus is on TB, malaria, HIV/AIDS, and water-borne diarrheal diseases. The LUCAS platform also has the capacity to measure CD4 cells, perform complete blood cell counts (CBC), and perform surveillance of water supplies for bacterial pathogens. Field tests and evaluation will be conducted in Brazil, Malawi, and Mozambique.
Dates? May How and where to apply? Information will be available shortly on the OBSSR website URL of OBSSR site come in on a click
