The Quality Improvement Program for Missouri's Long - Term Care Facilities (QIPMO) is committed to Missouri's Elderly.
The "Aging-in-place" model allows older adults to receive health care in their preferred place of living, eliminating the need for a more restricted living space, such as a nursing home.
TigerPlace is a specially designed elder housing project initiated by the MU Sinclair School of Nursing, working to provide elders a better quality of life.
AgingMO is a centralized online home for the University of Missouri’s Aging in Place (AIP) program and its related projects. Our unique AIP model allows older adults to receive health care in their preferred place of living. As their care needs increase, residents contract for more care in the same setting, eliminating the need for a move to a more restrictive living environment such as a nursing home. This project, which began in 1996, is a multidisciplinary project including MU’s School of Nursing, College of Electrical and Computer Engineering, School of Social Work, Department of Physical Therapy, Department of Management and Informatics, Biostatistics Group, and Department of Family and Community Medicine, along with outside consultants. We have developed this website to assist you by allowing complete and easy access to the many distinctive aspects of our groundbreaking research.
America’s 75 million aging adults soon will face decisions about where and how to live as they age. Current options for long-term care, including nursing homes and assisted-living facilities, are costly and require seniors to move from place to place. University of Missouri researchers have found that a new strategy for long-term care called Aging in Place (AIP) is less expensive and provides better health outcomes. The AIP model provides services and care to meet residents’ increasing needs to avoid relocation to higher levels of care. AIP includes continuous care management, a combination of personalized health services with nursing care coordination. Click here for an AIP overview.
Environmentally embedded (non-wearable) sensor technology is in continuous use in elder housing to monitor a new set of "vital signs" that continuously measure the functional status of older adults, detect potential changes in health or functional status, and alert healthcare providers for early recognition and treatment of those changes. Older adult participants' respiration, pulse, and restlessness are monitored as they sleep. Gait speed, stride length, and stride time are calculated daily, and automatically assess for increasing fall risk. Activity levels are summarized and graphically displayed for easy interpretation. Falls are detected when they occur and alerts are sent immediately to healthcare providers, so time to rescue may be reduced. Automated health alerts are sent to health care staff, based on continuously running algorithms applied to the sensor data, days and weeks before typical signs or symptoms are detected by the person, family members, or health care providers. Discovering these new functional status "vital signs," developing automated methods for interpreting them, and alerting others when changes occur has the potential to transform chronic illness management and facilitate aging in place through the end of life. Key findings of research in progress at the University of Missouri are discussed in this viewpoint article, as well as obstacles to widespread adoption.
Rantz, M., Skubic, M., Popescu, M., Galambos, C., Koopman, R.J., Alexander, G.L., Phillips, L.J., Musterman, K., Back, J., & Miller, S.J. (2015). A new paradigm of technology enabled "vital signs" for early detection of health change for older adults. Gerontology, published online 11/26/14.*
We propose in this paper the use of Wavelet transform (WT) to detect human falls using a ceiling mounted Doppler range control radar. The radar senses any motions from falls as well as nonfalls due to the Doppler effect. The wavelet transform is very effective in distinguishing the falls from other activities, making it a promising technique for radar fall detection in non-obtrusive in-home elder care applications. The proposed radar fall detector consists of two stages. The prescreen stage uses the coefficients of wavelet decomposition at a given scale to identify the time locations in which fall activities may have occurred. The classification stage extracts the time-frequency content from the wavelet coefficients at many scales to form a feature vector for fall vs nonfall classification. The selection of different wavelet functions is examined to achieve better performance. Experimental results using the data from the laboratory and real in-home environments validate the promising and robust performance of the proposed detector.
Su, B.Y., Ho, K.C., Rantz, M., & Skubic, M. (2015). Doppler radar fall activity detection using the wavelet transform. IEEE Transactions on Biomedical Engineering, 62(3), 865-875.
Strengthening healthcare overall is essential to the health of our nation and promoting access to healthcare as well as controlling healthcare costs in a quality cost-effective manner. Nurse practitioners have demonstrated in prior research to be effective and cost-effective providers; however, many states restrict their practice. We examined for a statistically significant relationship between level of APRN practice (full, reduced, or restricted) allowed and results of recent nation-wide, state level analyses of Medicare or Medicare-Medicaid beneficiaries of potentially avoidable hospitalizations, readmission rates after inpatient rehabilitation, and nursing home resident hospitalizations; then compared with state health outcome rankings. States with full practice of nurse practitioners have lower hospitalization rates in multiple populations of Medicare or Medicare-Medicaid beneficiaries and improved health outcomes in their communities. Results indicate that obstacles to full scope of APRN practice have the potential to negatively impact our nation's health. Action should be taken to remove barriers to APRN practice.
Oliver, G.M., Pennington, L., Revelle, S., & Rantz, M. (2014). Impact of nurse practitioners on health outcomes of Medicare and Medicaid patients. Nursing Outlook, 62(6), 440-447.