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  • 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.

Welcome to AgingMO.com

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 information packet.

AgingMO Articles

Journal of Gerontological Nursing

It is becoming increasingly common for nursing facilities to use Quality Indicators (QI) derived from Minimum Data Set (MDS) data for quality improvement initiatives within their facilities. It is not known how much support facilities need to effectively review QI reports, investigate problem areas, and implement practice changes to improve care. In Missouri, the University...

Gerontechnology

Purpose: This study investigates whether motion density maps based on passive infrared (PIR) motion sensors and the average time out and average density per hour measures of the density map are sensitive enough to detect changes in mental health over time. Method: Within the sensor network, data are logged from PIR motion sensors which...

Proceedings from the Annual IEEE-EMBS International Conference on Biomedical and Health Informatics

Falling is a common health problem for elders. It is reported that more than one third of seniors 65 and older fall each year in the United States. We develop a dual Doppler radar system for fall detection. The radar system generates a specific Doppler signature for each human activity which is then categorized by a set of classifiers as fall or non-fall. However, different...

Journal of Nursing Measurement

The primary aim of this NINR-NIH-funded field test in 407 nursing homes in 3 states was to complete the development of and conduct psychometric testing for the Observable Indicators of Nursing Home Care Quality Instrument (Observable Indicators, OIQ). The development of the OIQ was based on extensive qualitative and iterative quantitative work that described nursing home...

Journal of Gerontological Nursing

Our team has developed a technological innovation that detects changes in health
status that indicate impending acute illness or exacerbation of chronic illness before usual assessment methods or self-reports of illness. We successfully used this information in a 1-year prospective study to alert health care providers so they could readily assess the situation and...

Journal of Nursing Care Quality

Over the past 12 years, members of the Minimum Data Set (MDS) and Quality Research Team at the University of Missouri-Columbia have been working with the Missouri Department of Health and Senior Services to improve care in Missouri nursing homes. The team conducted initial qualitative studies that explored the multidimensional aspects of quality of nursing home care. Using...