A time for me: A virtual program to engage African American caregivers.

To address the self-care needs of African American family caregivers, a community-engaged approach was used to develop and implement a half-day virtual self-care program. This study evaluates experiences of program attendees. All attendees were emailed an electronic survey containing Likert-type and open-ended questions. Responses were examined for patterns and key content-related categories using inductive content analysis. Eleven attendees responded to the survey. All 11 strongly agreed (64%) or agreed (36%) that the event met their expectations and/or needs. In addition to providing opportunity to take time to engage in self-care, the event created a virtual space for women to focus on themselves. Women spoke about three distinct ways the event met their needs: (1) learning and trying new things, (2) access to resources, and (3) having a shared experience. These findings suggest that virtual programs may be used as an additional resource to support the health of African American women caregivers.

Value Propositions for Health Information Exchange Toward Improving Nursing Home Hospital Readmission Rates.

The importance of health information technology use in nursing home (NH) care delivery is a major topic in research exploring methods to improve resident care. Topics of interest include how technology investments, infrastructure, and work-force development lead to better methods of nursing care delivery and outcomes. Value propositions, including perceived benefits, incentives, and system changes recognized by end-users, are important resources to inform NH leaders, policymakers, and stakeholders about technology. The purpose of the current research was to identify and disseminate value propositions from a community of stakeholders using a health information exchange (HIE). Researchers used a nominal group process, including 49 individual stakeholders participating in a national demonstration project to reduce avoidable hospitalizations in NHs. Stakeholders identified 41 total anticipated changes from using HIE. Ten stakeholder types were perceived to have experienced the highest impact from HIE in areas related to resident admissions, communication, and efficiency of care delivery. [Journal of Gerontological Nursing, 48(1), 15-20.].

Actualizing Better Health And Health Care For Older Adults.

By 2030 more people in the United States will be older than age sixty-five than younger than age five. Our health care system is unprepared for the complexity of caring for a heterogenous population of older adults-a problem that has been magnified by the coronavirus disease 2019 (COVID-19) pandemic. Here, as part of the National Academy of Medicine's Vital Directions for Health and Health Care: Priorities for 2021 initiative, we identify six vital directions to improve the care and quality of life for all older Americans. The next administration must create an adequately prepared workforce; strengthen the role of public health; remediate disparities and inequities; develop, evaluate, and implement new approaches to care delivery; allocate resources to achieve patient-centered care and outcomes, including palliative and end-of-life care; and redesign the structure and financing of long-term services and supports. If these priorities are addressed proactively, an infrastructure can be created that promotes better health and equitable, goal-directed care that recognizes the preferences and needs of older adults.

Advance Directives in the Nursing Home Setting: An Initiative to Increase Completion and Reduce Potentially Avoidable Hospitalizations.

Advance directive (AD) completion can improve transitions between hospitals and skilled nursing facilities (SNF's). One Centers for Medicare and Medicaid Services (CMS) Innovations Demonstration Project, The Missouri Quality Initiative (MOQI), focused on improving AD documentation and use in sixteen SNF's. The intervention included education, training, consultation and improvements to discussion process, policy development, increased AD enactment, and increased community education and awareness activities. An analysis was conducted of data collected from annual chart inventories occurring over four years. Using a logistic mixed model, results indicated statistical significance (p < .001) for increased AD documentation. Greatest gains occurred at project mid-point. The relationship between having an AD and occurrence of transfer to a hospital was tested on a sample of 1,563 residents with length of stays more than 30 days. Residents who did not have an AD were 29% more likely to be transferred. A logistic regression was conducted, and the results were statistically significant (p < .02).

Impact of Advanced Practice Registered Nurses on Quality Measures: The Missouri Quality Initiative Experience.

PURPOSE: The purpose of this article is to review the impact of advanced practice registered nurses (APRNs) on the quality measure (QM) scores of the 16 participating nursing homes of the Missouri Quality Initiative (MOQI) intervention. The MOQI was one of 7 program sites in the US, with specific interventions unique to each site tested for the Centers for Medicaid and Medicare Services Innovations Center. While the goals of the MOQI for long-stay nursing home residents did not specifically include improvement of the QM scores, it was anticipated that improvement most likely would occur. Primary goals of the MOQI were to reduce the frequency of avoidable hospital admissions and readmissions; improve resident health outcomes; improve the process of transitioning between inpatient hospitals and nursing facilities; and reduce overall healthcare spending without restricting access to care or choice of providers. METHODS: A 2-group comparison analysis was conducted using statewide QMs; a matched comparison group was selected from facilities in the same counties as the intervention homes, similar baseline QM scores, similar size and ownership. MOQI nursing homes each had an APRN embedded full-time to improve care and help the facility achieve MOQI goals. Part of their clinical work with residents and staff was to focus on quality improvement strategies with potential to influence healthcare outcomes. Trajectories of QM scores for the MOQI intervention nursing homes and matched comparison group homes were tested with nonparametric tests to examine for change in the desired direction between the 2 groups from baseline to 36 months. A composite QM score for each facility was constructed, and baseline to 36-month average change scores were examined using nonparametric tests. Then, adjusting for baseline, a repeated measures analysis using analysis of covariance as conducted. RESULTS: Composite QM scores of the APRN intervention group were significantly better (P = .025) than the comparison group. The repeated measures analysis identified statistically significant group by time interaction (P = .012). Then group comparisons were made at each of the 6-month intervals and statistically significant differences were found at 24 months (P = .042) and 36 months (P = .002), and nearly significant at 30 months (P = .11). IMPLICATIONS: APRNs working full time in nursing homes can positively influence quality of care, and their impact can be measured on improving QMs. As more emphasis is placed on quality and outcomes for nursing home services, providers need to find successful strategies to improve their QMs. Results of these analyses reveal the positive impact on QM outcomes for the majority of the MOQI nursing homes, indicating budgeting for APRN services can be a successful strategy.

Successfully Reducing Hospitalizations of Nursing Home Residents: Results of the Missouri Quality Initiative.

PURPOSE: The goals of the Missouri Quality Initiative (MOQI) for long-stay nursing home residents were to reduce the frequency of avoidable hospital admissions and readmissions, improve resident health outcomes, improve the process of transitioning between inpatient hospitals and nursing facilities, and reduce overall healthcare spending without restricting access to care or choice of providers. The MOQI was one of 7 program sites in the United States, with specific interventions unique to each site tested for the Centers for Medicaid and Medicare Services (CMS) Innovations Center. DESIGN AND METHODS: A prospective, single group intervention design, the MOQI included an advanced practice registered nurse (APRN) embedded full-time within each nursing home (NH) to influence resident care outcomes. Data were collected continuously for more than 3 years from an average of 1750 long-stay Medicare, Medicaid, and private pay residents living each day in 16 participating nursing homes in urban, metro, and rural communities within 80 miles of a major Midwestern city in Missouri. Performance feedback reports were provided to each facility summarizing their all-cause hospitalizations and potentially avoidable hospitalizations as well as a support team of social work, health information technology, and INTERACT/Quality Improvement Coaches. RESULTS: The MOQI achieved a 30% reduction in all-cause hospitalizations and statistically significant reductions in 4 single quarters of the 2.75 years of full implementation of the intervention for long-stay nursing home residents. IMPLICATIONS: As the population of older people explodes in upcoming decades, it is critical to find good solutions to deal with increasing costs of health care. APRNs, working with multidisciplinary support teams, are a good solution to improving care and reducing costs if all nursing home residents have access to APRNs nationwide.

Older Adults' Perceptions of and Preferences for a Fall Risk Assessment System: Exploring Stages of Acceptance Model.

Aging in place is a preferred and cost-effective living option for older adults. Research indicates that technology can assist with this goal. Information on consumer preferences will help in technology development to assist older adults to age in place. The study aim was to explore the perceptions and preferences of older adults and their family members about a fall risk assessment system. Using a qualitative approach, this study examined the perceptions, attitudes, and preferences of 13 older adults and five family members about their experience living with the fall risk assessment system during five points in time. Themes emerged in relation to preferences and expectations about the technology and how it fits into daily routines. We were able to capture changes that occurred over time for older adult participants. Results indicated that there was acceptance of the technology as participants adapted to it. Two themes were present across the five points in time-safety and usefulness. Five stages of acceptance emerged from the data from preinstallation to 2 years postinstallation. Identified themes, stages of acceptance, and design and development considerations are discussed.

Analysis of Advance Directive Documentation to Support Palliative Care Activities in Nursing Homes.

As part of an intervention to improve health care in nursing homes with the goal of reducing potentially avoidable hospital admissions, 1,877 resident records were reviewed for advance directive (AD) documentation. At the initial phases of the intervention, 50 percent of the records contained an AD. Of the ADs in the resident records, 55 percent designated a durable power of attorney for health care, most often a child (62 percent), other relative (14 percent), or spouse (13 percent). Financial power of attorney documents were sometimes found within the AD, even though these documents focused on financial decision making rather than health care decision making. Code status was the most prevalent health preference documented in the record at 97 percent of the records reviewed. The intervention used these initial findings and the philosophical framework of respect for autonomy to develop education programs and services on advance care planning. The role of the social worker within an interdisciplinary team is discussed.

Enhanced registered nurse care coordination with sensor technology: Impact on length of stay and cost in aging in place housing.

BACKGROUND: When planning the Aging in Place Initiative at TigerPlace, it was envisioned that advances in technology research had the potential to enable early intervention in health changes that could assist in proactive management of health for older adults and potentially reduce costs. PURPOSE: The purpose of this study was to compare length of stay (LOS) of residents living with environmentally embedded sensor systems since the development and implementation of automated health alerts at TigerPlace to LOS of those who are not living with sensor systems. Estimate potential savings of living with sensor systems. METHODS: LOS for residents living with and without sensors was measured over a span of 4.8 years since the implementation of sensor-generated health alerts. The group living with sensors (n = 52) had an average LOS of 1,557 days (4.3 years); the comparison group without sensors (n = 81) was 936 days (2.6 years); p = .0006. Groups were comparable based on admission age, gender, number of chronic illnesses, SF12 physical health, SF12 mental health, Geriatric Depression Scale (GDS), activities of daily living, independent activities of daily living, and mini-mental status examination scores. Both groups, all residents living at TigerPlace since the implementation of health alerts, receive registered nurse (RN) care coordination as the standard of care. DISCUSSION: Results indicate that residents living with sensors were able to reside at TigerPlace 1.7 years longer than residents living without sensors, suggesting that proactive use of health alerts facilitates successful aging in place. Health alerts, generated by automated algorithms interpreting environmentally embedded sensor data, may enable care coordinators to assess and intervene on health status changes earlier than is possible in the absence of sensor-generated alerts. Comparison of LOS without sensors TigerPlace (2.6 years) with the national median in residential senior housing (1.8 years) may be attributable to the RN care coordination model at TigerPlace. Cost estimates comparing cost of living at TigerPlace with the sensor technology vs. nursing home reveal potential saving of about $30,000 per person. Potential cost savings to Medicaid funded nursing home (assuming the technology and care coordination were reimbursed) are estimated to be about $87,000 per person. CONCLUSIONS: Early alerts for potential health problems appear to enhance the current RN care coordination care delivery model at TigerPlace, increasing LOS for those living with sensors to nearly twice that of those who did not. Sensor technology with care coordination has cost saving potential for consumers and Medicaid.

Automated In-Home Fall Risk Assessment and Detection Sensor System for Elders.

PURPOSE OF THE STUDY: Falls are a major problem for the elderly people leading to injury, disability, and even death. An unobtrusive, in-home sensor system that continuously monitors older adults for fall risk and detects falls could revolutionize fall prevention and care. DESIGN AND METHODS: A fall risk and detection system was developed and installed in the apartments of 19 older adults at a senior living facility. The system includes pulse-Doppler radar, a Microsoft Kinect, and 2 web cameras. To collect data for comparison with sensor data and for algorithm development, stunt actors performed falls in participants' apartments each month for 2 years and participants completed fall risk assessments (FRAs) using clinically valid, standardized instruments. The FRAs were scored by clinicians and recorded by the sensing modalities. Participants' gait parameters were measured as they walked on a GAITRite mat. These data were used as ground truth, objective data to use in algorithm development and to compare with radar and Kinect generated variables. RESULTS: All FRAs are highly correlated (p < .01) with the Kinect gait velocity and Kinect stride length. Radar velocity is correlated (p < .05) to all the FRAs and highly correlated (p < .01) to most. Real-time alerts of actual falls are being sent to clinicians providing faster responses to urgent situations. IMPLICATIONS: The in-home FRA and detection system has the potential to help older adults remain independent, maintain functional ability, and live at home longer.

Comparing Aging in Place to Home Health Care: Impact of Nurse Care Coordination On Utilization and Costs.

The goal of this study was to compare utilization and cost outcomes of patients who received long-term care coordination in an Aging in Place program to patients who received care coordination as a routine service in home health care. This research offered the unique opportunity to compare two groups of patients who received services from a single home health care agency, using the same electronic health record, to identify the impact of long-term and routine care coordination on utilization and costs to Medicare and Medicaid programs. This study supports that long-term care coordination supplied by nurses outside of a primary medical home can positively influence functional, cognitive, and health care utilization for frail older people. The care coordinators in this study practiced nursing by routinely assessing and educating patients and families, assuring adequate service delivery, and communicating with the multidisciplinary health care team. Care coordination managed by registered nurses can influence utilization and cost outcomes, and impact health and functional abilities.

In-home fall risk assessment and detection sensor system.

Falls are a major problem in older adults. A continuous, unobtrusive, environmentally mounted (i.e., embedded into the environment and not worn by the individual), in-home monitoring system that automatically detects when falls have occurred or when the risk of falling is increasing could alert health care providers and family members to intervene to improve physical function or manage illnesses that may precipitate falls. Researchers at the University of Missouri Center for Eldercare and Rehabilitation Technology are testing such sensor systems for fall risk assessment (FRA) and detection in older adults' apartments in a senior living community. Initial results comparing ground truth (validated measures) of FRA data and GAITRite System parameters with data captured from Microsoft(®) Kinect and pulse-Doppler radar are reported.

Psychosocial assessment of nursing home residents via MDS 3.0: recommendations for social service training, staffing, and roles in interdisciplinary care.

The Minimum Data Set 3.0 has introduced a higher set of expectations for assessment of residents' psychosocial needs, including new interviewing requirements, new measures of depression and resident choice, and new discharge screening procedures. Social service staff are primary providers of psychosocial assessment and care in nursing homes; yet, research demonstrates that many do not possess the minimum qualifications, as specified in federal regulations, to effectively provide these services given the clinical complexity of this client population. Likewise, social service caseloads generally exceed manageable levels. This article addresses the need for enhanced training and support of social service and interdisciplinary staff in long term care facilities in light of the new Minimum Data Set 3.0 assessment procedures as well as new survey and certification guidelines emphasizing quality of life. A set of recommendations will be made with regard to training, appropriate role functions within the context of interdisciplinary care, and needs for more realistic staffing ratios.

Using Passive Sensing to Estimate Relative Energy Expenditure for Eldercare Monitoring.

This paper describes ongoing work in analyzing sensor data logged in the homes of seniors. An estimation of relative energy expenditure is computed using motion density from passive infrared motion sensors mounted in the environment. We introduce a new algorithm for detecting visitors in the home using motion sensor data and a set of fuzzy rules. The visitor algorithm, as well as a previous algorithm for identifying time-away-from-home (TAFH), are used to filter the logged motion sensor data. Thus, the energy expenditure estimate uses data collected only when the resident is home alone. Case studies are included from TigerPlace, an Aging in Place community, to illustrate how the relative energy expenditure estimate can be used to track health conditions over time.

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.

Cost, staffing and quality impact of bedside electronic medical record (EMR) in nursing homes.

OBJECTIVE: There is growing political pressure for nursing homes to implement the electronic medical record (EMR) but there is little evidence of its impact on resident care. The purpose of this study was to test the unique and combined contributions of EMR at the bedside and on-site clinical consultation by gerontological expert nurses on cost, staffing, and quality of care in nursing homes. METHODS: Eighteen nursing facilities in 3 states participated in a 4-group 24-month comparison: Group 1 implemented bedside EMR, used nurse consultation; Group 2 implemented bedside EMR only; Group 3 used nurse consultation only; Group 4 neither. Intervention sites (Groups 1 and 2) received substantial, partial financial support from CMS to implement EMR. Costs and staffing were measured from Medicaid cost reports, and staff retention from primary data collection; resident outcomes were measured by MDS-based quality indicators and quality measures. RESULTS: Total costs increased in both intervention groups that implemented technology; staffing and staff retention remained constant. Improvement trends were detected in resident outcomes of ADLs, range of motion, and high-risk pressure sores for both intervention groups but not in comparison groups. DISCUSSION: Implementation of bedside EMR is not cost neutral. There were increased total costs for all intervention facilities. These costs were not a result of increased direct care staffing or increased staff turnover. CONCLUSIONS: Nursing home leaders and policy makers need to be aware of on-going hardware and software costs as well as costs of continual technical support for the EMR and constant staff orientation to use the system. EMR can contribute to the quality of nursing home care and can be enhanced by on-site consultation by nurses with graduate education in nursing and expertise in gerontology.