Passive sensor technology interface to assess elder activity in independent living.

BACKGROUND: The effectiveness of clinical information systems to improve nursing and patient outcomes depends on human factors, including system usability, organizational workflow, and user satisfaction. OBJECTIVE: The aim of this study was to examine to what extent residents, family members, and clinicians find a sensor data interface used to monitor elder activity levels usable and useful in an independent living setting. METHODS: Three independent expert reviewers conducted an initial heuristic evaluation. Subsequently, 20 end users (5 residents, 5 family members, 5 registered nurses, and 5 physicians) participated in the evaluation. During the evaluation, each participant was asked to complete three scenarios taken from three residents. Morae recorder software was used to capture data during the user interactions. RESULTS: The heuristic evaluation resulted in 26 recommendations for interface improvement; these were classified under the headings content, aesthetic appeal, navigation, and architecture, which were derived from heuristic results. Total time for elderly residents to complete scenarios was much greater than for other users. Family members spent more time than clinicians but less time than residents did to complete scenarios. Elder residents and family members had difficulty interpreting clinical data and graphs, experienced information overload, and did not understand terminology. All users found the sensor data interface useful for identifying changing resident activities. DISCUSSION: Older adult users have special needs that should be addressed when designing clinical interfaces for them, especially information as important as health information. Evaluating human factors during user interactions with clinical information systems should be a requirement before implementation.

Evaluation of aging in place model with home care services and registered nurse care coordination in senior housing.

A state-sponsored evaluation of aging in place (AIP) as an alternative to assisted living and nursing home has been underway in Missouri. Cost, physical, and mental health assessment data reveal the cost-effectiveness and positive health measures of AIP. Findings of the first four years of the AIP evaluation of two long-term care settings in Missouri with registered nurse care coordination are compared with national data for traditional long-term care. The combined care and housing cost for any resident who received care services beyond base services of AIP and who qualified for nursing home care has never approached or exceeded the cost of nursing home care at either location. Both mental health and physical health measures indicate the health restoration and independence effectiveness of the AIP model for long-term care.

Improving nurse care coordination with technology.

Technology offers potential solutions to the pending crisis of healthcare for older adults, while healthcare workers are in short supply. Technology can enable remote monitoring of individuals and early detection of potential problems, so that early interventions can help older adults remain as healthy and independent as possible. Research is under way with passive monitoring technology in senior housing that is finding patterns in the data that can enhance nurse care coordination through early illness detection. With early detection, interventions can be more effective and reduce hospitalization and other healthcare expenses. Case studies are presented, and implications are discussed.

Developing a comprehensive electronic health record to enhance nursing care coordination, use of technology, and research.

As in acute care, use of health information technology in long-term care holds promise for increased efficiency, better accuracy, reduced costs, and improved outcomes. A comprehensive electronic health record (EHR), which encompasses all health care measures that clinicians want to use-both standard health care assessments and those acquired through emerging technology-is the key to improved, efficient clinical decision making. New technologies using sensors to passively monitor older adults at home are being developed and are commercially available. However, integrating the clinical information systems with passive monitoring data so that clinical decision making is enhanced and patient records are complete is challenging. Researchers at the University of Missouri (MU) are developing a comprehensive EHR to: (a) enhance nursing care coordination at TigerPlace, independent senior housing that helps residents age in place; (b) integrate clinical data and data from new technology; and (c) advance technology and clinical research.

Helping nursing homes "at risk" for quality problems: a statewide evaluation.

The Quality Improvement Program for Missouri (QIPMO), a state school of nursing project to improve quality of care and resident outcomes in nursing homes, has a special focus to help nursing homes identified as "at risk" for quality concerns. In fiscal year 2006, 92 of 492 Medicaid-certified facilities were identified as "at risk" using quality indicators (QIs) derived from Minimum Data Set (MDS) data. Sixty of the 92 facilities accepted offered on-site clinical consultations by gerontological expert nurses with graduate nursing education. Content of consultations include quality improvement, MDS, care planning, evidence-based practice, and effective teamwork. The 60 "at-risk" facilities improved scores 4%-41% for 5 QIs: pressure ulcers (overall and high risk), weight loss, bedfast residents, and falls; other facilities in the state did not. Estimated cost savings (based on prior cost research) for 444 residents who avoided developing these clinical problems in participating "at-risk" facilities was more than $1.5 million for fiscal year 2006. These are similar to estimated savings of $1.6 million for fiscal year 2005 when 439 residents in "at-risk" facilities avoided clinical problems. Estimated savings exceed the total program cost by more than $1 million annually. QI improvements demonstrate the clinical effectiveness of on-site clinical consultation by gerontological expert nurses with graduate nursing education.

Field testing, refinement, and psychometric evaluation of a new measure of quality of care for assisted living.

Field test results are reported for the Observable Indicators of Nursing Home Care Quality Instrument-Assisted Living Version, an instrument designed to measure the quality of care in assisted living facilities after a brief 30-minute walk-through. The OIQ-AL was tested in 207 assisted-living facilities in two states using classical test theory, generalizability theory, and exploratory factor analysis. The 34-item scale has a coherent six-factor structure that conceptually describes the multidimensional concept of care quality in assisted living. The six factors can be logically clustered into process (Homelike and Caring, 21 items) and structure (Access and Choice; Lighting; Plants and Pets; Outdoor Spaces) subscales and for a total quality score. Classical test theory results indicate most subscales and the total quality score from the OIQ-AL have acceptable interrater, test-retest, and strong internal consistency reliabilities. Generalizability theory analyses reveal that dependability of scores from the instrument are strong, particularly by including a second observer who conducts a site visit and independently completes an instrument, or by a single observer conducting two site visits and completing instruments during each visit. Scoring guidelines based on the total sample of observations (N = 358) help guide those who want to use the measure to interpret both subscale and total scores. Content validity was supported by two expert panels of people experienced in the assisted-living field, and a content validity index calculated for the first version of the scale is high (3.43 on a four-point scale). The OIQ-AL gives reliable and valid scores for researchers, and may be useful for consumers, providers, and others interested in measuring quality of care in assisted-living facilities.

Sensor systems for monitoring functional status in assisted living facility residents.

This article provides results of an expert review of data displays for a sensor system used to monitor functional abilities in older adults. The research took place at TigerPlace, an assisted living facility where the sensor system is currently being evaluated. A checklist of 16 heuristic criteria was used to evaluate the sensor data displays, with consideration to the users of the system: residents, their families, and health care providers. Results of this expert review indicate that flexibility and efficiency of use, help and documentation, navigation, and skills were not well developed in the sensor data displays. Conversely, sensor data displays were rated highly for their aesthetic value and the ample visual contrast on the main display components. Through the use of a sensor system, new ways of detecting functional decline in elderly residents of assisted living facilities can be accomplished.

Admissions to skilled nursing facilities from assisted living facilities.

Minimum Data Set data from 15,977 residents were analyzed to investigate the reasons older adults were admitted to skilled nursing facilities from assisted living facilities. Residents admitted from assisted living facilities, private homes, hospitals, and hospitals with previous assisted living facility residence were compared. Findings suggest that residents admitted from assisted living facilities are more likely to be older, to have diagnoses of dementia and depression, and to be placed in Alzheimer's special care units.

Older adults' attitudes towards and perceptions of "smart home" technologies: a pilot study.

PRIMARY OBJECTIVE: The study aim is to explore the perceptions and expectations of seniors in regard to "smart home" technology installed and operated in their homes with the purpose of improving their quality of life and/or monitoring their health status. RESEARCH DESIGN AND METHODS: Three focus group sessions were conducted within this pilot study to assess older adults' perceptions of the technology and ways they believe technology can improve their daily lives. Themes discussed in these groups included participants' perceptions of the usefulness of devices and sensors in health-related issues such as preventing or detecting falls, assisting with visual or hearing impairments, improving mobility, reducing isolation, managing medications, and monitoring of physiological parameters. The audiotapes were transcribed and a content analysis was performed. RESULTS: A total of 15 older adults participated in three focus group sessions. Areas where advanced technologies would benefit older adult residents included emergency help, prevention and detection of falls, monitoring of physiological parameters, etc. Concerns were expressed about the user-friendliness of the devices, lack of human response and the need for training tailored to older learners. CONCLUSIONS: All participants had an overall positive attitude towards devices and sensors that can be installed in their homes in order to enhance their lives.