Caregiver Engagement Enhances Outcomes Among Randomized Control Trials of Transitional Care Interventions: A Systematic Review and Meta-analysis.

BACKGROUND: Fluctuations in health among chronically ill adults result in frequent health care transitions. Some interventions to improve patient outcomes after hospitalization include caregiver engagement as a core component, yet there is unclear evidence of the effects of this component on outcomes. OBJECTIVE: The objective of this study was to synthesize evidence regarding the attention given to caregiver engagement in randomized control trials of transitional care interventions (TCIs), estimate the overall intervention effects, and assess caregiver engagement as a moderator of intervention effects. METHODS: Three databases were systematically searched for randomized control trials of TCIs targeting adults living with physical or emotional chronic diseases. For the meta-analysis, overall effects were computed using the relative risk (RR) effect size and inverse variance weighting. RESULTS: Fifty-four studies met criteria, representing 31,291 participants and 66 rehospitalizations effect sizes. Half (51%) the interventions lacked focus on caregiver engagement. The overall effect of TCIs on all-cause rehospitalizations was nonsignificant at 1 month (P=0.107, k=29), but significant at ≥2 months [RR=0.89; 95% confidence interval (CI): 0.82, 0.97; P=0.007, k=27]. Caregiver engagement moderated intervention effects (P=0.05), where interventions with caregiver engagement reduced rehospitalizations (RR=0.83; 95% CI: 0.75, 0.92; P=0.001), and those without, did not (RR=0.97; 95% CI: 0.87, 1.08; P=0.550). Interventions with and without caregiver engagement did not differ in the average number of components utilized, however, interventions with caregiver engagement more commonly employed baseline needs assessments (P=0.032), discharge planning (P=0.006), and service coordination (P=0.035). DISCUSSION: Future TCIs must consistently incorporate the active participation of caregivers in design, delivery, and evaluation.

Medical Complexity Mediates Healthcare Resource Use in the Socially Vulnerable.

GOAL: The objective of this retrospective, observational study was to assess the mediating effect of medical complexity on the relationship between social vulnerability and four acute care resource use outcomes-number of hospitalizations, emergency department (ED) visits, observation stays, and total visits. Such information may help healthcare managers better anticipate the effects of interventions targeted to the socially vulnerable in their patient population. METHODS: Electronic health records of 147,496 adults served by 27 primary care practices in one large health system from 2015 to 2017 were used. Descriptive statistics were applied to characterize patients and the primary care practices included in the study. Causal mediation analyses using a modified Baron and Kenny approach were performed. PRINCIPAL FINDINGS: Causal mediation analyses demonstrated that increased social vulnerability was associated with increased medical complexity (incidence rate ratio [IRR] = 1.57) and increased numbers of hospitalizations (IRR = 1.63), ED visits (IRR = 2.14), observation stays (IRR = 1.94), and total visits (IRR = 2.04). Effects remained significant, though attenuated, after adjusting for medical complexity (mediator), demographics, and medications (hospitalizations IRR = 1.44, ED visits IRR = 2.02, observation stays IRR = 1.74, total visits IRR = 1.86). Social vulnerability, given medical complexity, explained between 8% (ED visits) and 26% (hospitalizations) of the variation in outcomes. PRACTICAL APPLICATIONS: These findings reinforce the need to modify interventions for medically complex adults to address their social needs and, consequently, reduce costly health services. Health systems seeking to reduce costly care can use these results to estimate savings in the treatment of patients with high social vulnerability-before they get chronic conditions and later as they seek care.

Older Adult and Family Caregiver Perspectives on Engagement in Primary Care.

The purpose of the current in-depth qualitative study was to explore the experiences of older adults and family caregivers in primary care. Twenty patients and caregivers from six Comprehensive Primary Care Plus (CPC+) practices' Patient and Family Advisory Councils within a large academic health system participated in telephone interviews from December 2018 to May 2019. Participants were mostly women (60%), with an average age of 71 years and nine chronic conditions. Transcripts were coded using conventional content analysis. Two key themes emerged related to person-centered care (PCC): Engagement in Health Care and Patient-Provider Relationship. Engagement in health care was defined by participants as: being proactive, centering on patient goals in treatment discussions, adherence, and self-triaging. Approximately all participants discussed the importance of the relationship and interactions with their provider as influencing their engagement. The identified themes offer recommendations for further improvement of primary PCC. [Journal of Gerontological Nursing, 48(11), 7-13.].

Predictors of change over time in satisfaction with outdoor activities ratings among long-term care services and supports recipients.

OBJECTIVES: To identify predictors of change in older adults' satisfaction with outdoor activities ratings over the first two years of enrollment in long-term services and supports (LTSS). METHODS: Self-rated satisfaction with outdoor activities (not at all satisfied to extremely satisfied) was the primary outcome of this secondary data analysis. Mixed-effects linear regression modeling with a backward elimination process was used for analyses. RESULTS: In the final model (N = 453) older LTSS recipients at baseline had lower ratings of satisfaction with outdoor activities over time, whereas younger recipients had higher ratings over time. Those who moved into a residential facility at baseline had an increase in outdoor activity satisfaction ratings over time compared to older adults who received home and community-based services that had a decrease. DISCUSSION: LTSS clinicians can use these findings to support older adults with decision-making around enrollment into LTSS, address preferences, and develop person-centered care interventions for outdoor activity.

Minority Older Adults' Access to and Use of Programs of All-Inclusive Care for the Elderly.

Programs of All-Inclusive Care for the Elderly (PACE) are an effective approach to improve care quality and delay institutional admissions especially for Black and Hispanic older adults who have seen a disproportionate rise in nursing home use. Guided by Andersen's Behavioral Model of Health Services Use and employing focus groups and one-on-one interviews, we qualitatively examined factors influencing access to and use of PACE by Black and Hispanic older adults. The study sample consisted of thirty-two PACE enrollees, six marketing-team members, and four family-caregivers from three PACE sites in a northeast urban city. Informed knowledge, cultural beliefs, and attitudes toward PACE were found to affect access. Community resources, available services, and care quality facilitated enrollment/participation. Barriers identified included poor dissemination of information and inadequate emphasis on staff's sensitivity to enrollees' cultural and disability differences. Findings will help healthcare leaders capitalize on facilitators and address barriers to enhance access and use of PACE by racial and ethnic minority older adults.

Demographic Characteristics Driving Disparities in Receipt of Long-term Services and Supports in the Community Setting.

BACKGROUND: Research suggests that growth in Black and Hispanic (minority) older adults' nursing home (NH) use may be the result of disparities in access to community-based and alternative long-term services and supports (LTSS). OBJECTIVE: We aimed to determine whether minority groups receiving care in NHs versus the community had fewer differences in their functional needs compared with the differences in nonminority older adults, suggesting a disparity. METHODS: We identified respondents aged 65 years or above with a diagnosis of Alzheimer disease or dementia in the 2016 Health and Retirement Study who reported requiring LTSS help. We performed unadjusted analyses to assess the difference in functional need between community and NH care. Functional need was operationalized using a functional limitations score and 6 individual activities of daily living. We compared the LTSS setting for minority older adults to White older adults using difference-in-differences. RESULTS: There were 186 minority older adults (community=75%, NH=25%) and 357 White older adults (community=50%, NH=50%). Between settings, minority older adults did not differ in education or marital status, but were younger and had greater income in the NH versus the community. The functional limitations score was higher in NHs than in the community for both groups. Functional needs for all 6 activities of daily living for the minority group were greater in NHs compared with the community. CONCLUSION: Functional need for minority older adults differed by setting while demographics varied in unexpected ways. Factors such as familial and financial support are important to consider when implementing programs to keep older adults out of NHs.

Predictors of change over time in subjective daytime sleepiness among older adult recipients of long-term services and supports.

OBJECTIVES: Daytime sleepiness is associated with multiple negative outcomes in older adults receiving long-term services and supports (LTSS) including reduced cognitive performance, need for greater assistance with activities of daily living and decreased social engagement. The purpose of this study was to identify predictors of change in subjective daytime sleepiness among older adults during their first 2 years of receiving LTSS. DESIGN AND SETTING: Secondary analysis of data from a prospective longitudinal study of older adults who received LTSS in their homes, assisted living communities or nursing homes interviewed at baseline and every 3 months for 24 months. PARTICIPANTS: 470 older adults (60 years and older) newly enrolled in LTSS (mean = 81, SD = 8.7; range 60-98; 71% women). MEASUREMENTS: Subjective daytime sleepiness was assessed every 3 months through 2 years using the Epworth Sleepiness Scale. Multiple validated measures were used to capture health-related quality of life characteristics of enrollees and their environment, including symptom status (Symptom Bother Scale), cognition (Mini Mental Status Exam), physical function (Basic Activities of Daily Living), physical and mental general health, quality of life (Dementia Quality of Life, D-QoL), depressive symptoms (Geriatric Depression Scale) and social support (Medical Outcomes Survey-Social Support). RESULTS: Longitudinal mixed effects modeling was used to examine the relationship between independent variables and continuous measure of daytime sleepiness. Increased feelings of belonging, subscale of the D-QoL (effect size = -0.006, 95% CI: -0.013 to -0.0001, p = 0.045) and higher number of depressive symptoms (effect size = -0.002, 95% CI: -0.004 to -0.001, p = 0.001) at baseline were associated with slower rates of increase in daytime sleepiness over time. CONCLUSIONS: Comprehensive baseline and longitudinal screening for changes in daytime sleepiness along with depression and perceived quality of life should be used to inform interventions aimed at reducing daytime sleepiness among older adults receiving LTSS.

Adapting Andersen's expanded behavioral model of health services use to include older adults receiving long-term services and supports.

BACKGROUND: Andersen's Expanded Behavioral Model of Health Services Use describes factors associated with the use of long-term services and supports (LTSS). This model, however, has only been tested on the intent to use such services among African-American and White older adults and not the actual use. Given the increasing diversity of older adults in the U.S., the ability to conceptualize factors associated with actual use of LTSS across racial/ethnic groups is critical. METHODS: We applied Andersen's Expanded model in the analysis of 2006-2010 qualitative data using multiple methods to understand both the relevancy of factors for older adults who currently use LTSS vs. those who intend to use LTSS (as described in Andersen's original exploration). We additionally explored differences in these factors across racial/ethnic groups and included Hispanic older adults in our analyses. RESULTS: Four additional constructs linked with actual LTSS use emerged: losses and changes, tangible support, capability to provide informal support, and accessibility of informal support. Racial differences were seen in level of participation in decisions to use nursing home services (Not involved: 45% African-Americans vs. 24% Whites). Reports of LTSS use to avoid burdening one's family were greater among White older adults compared to African-American older adults. CONCLUSIONS: Findings around decision-making and burden along with other constructs enhance our understanding of determinants that influence actual LTSS use and require targeted interventions.

Factors Affecting Patient Prioritization Decisions at Admission to Home Healthcare: A Predictive Study to Develop a Risk Screening Tool.

There is a lack of evidence on how to identify high-risk patients admitted to home healthcare. This study aimed (1) to identify which disease characteristics, medications, patient needs, social support characteristics, and other factors are associated with patient priority for the first home health nursing visit; and (2) to construct and validate a predictive model of patient priority for the first home health nursing visit. This was a predictive study of home health visit priority decisions made by 20 nurses for 519 older adults. The study found that nurses were more likely to prioritize patients who had wounds (odds ratio = 1.88), comorbid condition of depression (odds ratio = 1.73), limitation in current toileting status (odds ratio = 2.02), higher number of medications (increase in odds ratio for each medication = 1.04), and comorbid conditions (increase in odds ratio for each condition = 1.04). This study developed one of the first clinical decision support tools for home healthcare called "PREVENT". (PRiority home health Visit Tool). Further work is needed to increase the specificity and generalizability of the tool and to test its effects on patient outcomes.

High-value care for older adults with complex care needs: Leveraging nurses as innovators.

BACKGROUND: Our health care system is facing unprecedented and complex challenges in caring for older adults and their families. A paradigm shift is needed that recognizes new roles and competencies for nurses to play a leadership role in the design and implementation of high value care models. PURPOSE: The purpose of this paper is to introduce a series of recommendations for leveraging nurses to generate innovative tools and solutions for the delivery of value-based care for older adults living with complex health and social needs and their families. METHODS: These recommendations were generated by a Think-Tank of national experts based on review of current evidence and focus groups with older adults. FINDING: The generated recommendations focus on positioning nurses to assume leadership roles in implementing evidence-based care models, preparing nurses to serve as health innovators and catalysts of system transformation, and fostering system-level infrastructure that leverages the contributions of nurses for current and emerging roles. DISCUSSION: Nurses as innovators can address the challenges in providing high quality care for older adults with complex needs and their families. System-level infrastructure, including resources for training and implementation of well-established programs, is necessary to leverage the contributions of nurses and facilitate innovative approaches to care.

"We are Alone in This Battle": A Framework for a Coordinated Response to COVID-19 in Nursing Homes.

As of May 2020, nursing home residents account for a staggering one-third of the more than 80,000 deaths due to COVID-19 in the U.S. This pandemic has resulted in unprecedented threats to achieving and sustaining care quality even in the best nursing homes, requiring active engagement of nursing home leaders in developing solutions responsive to the unprecedented threats to quality standards of care delivery during the pandemic. This perspective offers a framework, designed with the input of nursing home leaders, to facilitate internal and external decision-making and collective action to address these threats. Policy options focus on assuring a shared understanding among nursing home leaders and government agencies of changes in the operational status of nursing homes throughout the crisis, improving access to additional essential resources needed to mitigate the crisis' impact, and promoting shared accountability for consistently achieving accepted standards in core quality domains.

Meeting the Transitional Care Needs of Older Adults with COVID-19.

Older adults with COVID-19 who survive hospitalizations and return to their homes confront substantial health challenges and an unpredictable future. While understanding of the unique needs of COVID-19 survivors is developing, components of the evidence-based Transitional Care Model provide a framework for taking a more immediate, holistic response to caring for these individuals as they moved back into the community. These components include: increasing screening, building trusting relationships, improving patient engagement, promoting collaboration across care teams, undertaking symptom management, increasing family caregiver care/education, coordinating health and social services, and improving care continuity. Evidence generated from rigorous testing of these components reveal the need for federal and state policy solutions to support the following: employment/redeployment of nurses, social workers, and community health workers; training and reimbursement of family caregivers; widespread access to research-based transitional care tools; and coordinated local efforts to address structural barriers to effective transitions. Immediate action on these policy options is necessary to more effectively address the complex issues facing these older adults and their family caregivers who are counting on our care system for essential support.

Policy Flight Simulators: Accelerating Decisions to Adopt Evidence-Based Health Interventions.

EXECUTIVE SUMMARY: In this study, the authors used simulation to explore factors that might influence hospitals' decisions to adopt evidence-based interventions. Specifically, they developed a simulation model to examine the extent to which hospitals would benefit economically from the transitional care model (TCM). The TCM is designed to transition high-risk older adults from hospitals back to communities using interventions focused on preventing readmissions.The authors used qualitative methods to identify and validate simulation facets. Four simulation experiments explored the economic impact of the TCM on more than 3,000 U.S. hospitals: (1) magnitude of readmission penalty, (2) application to specific diagnosis-related groups, (3) level of cost sharing between payer and provider, and (4) capitated versus fee-for-service payments. The simulator projected hospital-specific economic effects. The authors used Monte Carlo methods for the simulations, which were parameterized with public data sets from the Centers for Medicare & Medicaid Services (CMS) and TCM data from randomized controlled trials and comparative effectiveness studies.Under current conditions, the simulation indicated that only 10 of more than 3,000 Medicare-certified hospitals would benefit financially from the TCM. If current readmission penalties were doubled, the number of hospitals projected to benefit would increase to 300. Targeting selected diagnosis cohorts would also increase the number of hospitals to 300. If payers reimbursed providers for 100% of the TCM costs, 2,000 hospitals would benefit financially. Under a capitated payment model, 1,500 hospitals would benefit from the TCM.Current CMS penalties-or reasonable increases-have little economic effect on the TCM. In the current environment, two strategies are likely to facilitate adoption: (1) persuading payers to reimburse TCM costs and (2) focusing on hospitals with higher bed occupancies and higher revenue patients.

Association of health related quality of life domains with daytime sleepiness among elderly recipients of long-term services and supports.

Excessive daytime sleepiness (EDS) is prevalent in older adults; however, data are lacking that examine EDS across living environments. The aims of this secondary data analysis were to identify the prevalence and predictors of EDS among older adults receiving long-term services and supports (LTSS) in assisted living communities (ALCs), nursing homes (NHs), and the community. Participants (n = 470) completed multiple measures including daytime sleepiness. Logistic regression modeling was used to identify EDS predictors. Participants were primarily female and white with a mean age of 81 ± 9 years. The overall prevalence of EDS was 19.4%; the prevalence differed across living environment. Older adults in ALCs and NHs had higher odds of EDS than those living in the community. Also, depressive symptoms and number of bothersome symptoms predicted EDS. Upon admission for LTSS, evaluating older adults, especially those in ALCs and NHs, for depression and bothersome symptoms may reveal modifiable factors of EDS.

Policy Research Challenges in Comparing Care Models for Dual-Eligible Beneficiaries.

Providing affordable, high-quality care for the 10 million persons who are dual-eligible beneficiaries of Medicare and Medicaid is an ongoing health-care policy challenge in the United States. However, the workforce and the care provided to dual-eligible beneficiaries are understudied. The purpose of this article is to provide a narrative of the challenges and lessons learned from an exploratory study in the use of clinical and administrative data to compare the workforce of two care models that deliver home- and community-based services to dual-eligible beneficiaries. The research challenges that the study team encountered were as follows: (a) comparing different care models, (b) standardizing data across care models, and (c) comparing patterns of health-care utilization. The methods used to meet these challenges included expert opinion to classify data and summative content analysis to compare and count data. Using descriptive statistics, a summary comparison of the two care models suggested that the coordinated care model workforce provided significantly greater hours of care per recipient than the integrated care model workforce. This likely represented the coordinated care model's focus on providing in-home services for one recipient, whereas the integrated care model focused on providing services in a day center with group activities. The lesson learned from this exploratory study is the need for standardized quality measures across home- and community-based services agencies to determine the workforce that best meets the needs of dual-eligible beneficiaries.

Meeting the Needs of the Complex Older Adult Patient with Urinary Retention: A Case Study.

This article presents a case study of how a homebound older adult patient with urinary retention is managed by a patient-centered medical home/transitional care model. A description of how a root cause analysis can effectively improve outcomes is also provided.

Multiple Chronic Conditions and Hospitalizations Among Recipients of Long-Term Services and Supports.

BACKGROUND: Among older adults receiving long-term services and supports (LTSS), debilitating hospitalizations is a pervasive clinical and research problem. Multiple chronic conditions (MCCs) are prevalent in LTSS recipients. However, the combination of MCCs and diseases associated with hospitalizations of LTSS recipients is unclear. OBJECTIVE: The purpose of this analysis was to determine the association between classes of MCCs in newly enrolled LTSS recipients and the number of hospitalizations over a 1-year period following enrollment. METHODS: This report is based on secondary analysis of extant data from a longitudinal cohort study of 470 new recipients of LTSS, 60 years and older, receiving services in assisted living facilities, nursing homes, or through home- and community-based services. Using baseline chronic conditions reported in medical records, latent class analysis was used to identify classes of MCCs and posterior probabilities of membership in each class. Poisson regressions were used to estimate the relative ratio between posterior probabilities of class membership and number of hospitalizations during the 3-month period prior to the start of LTSS (baseline) and then every 3 months forward through 12 months. RESULTS: Three latent MCC-based classes named Cardiopulmonary, Cerebrovascular/Paralysis, and All Other Conditions were identified. The Cardiopulmonary class was associated with elevated numbers of hospitalizations compared to the All Other Conditions class (relative ratio [RR] = 1.88, 95% CI [1.33, 2.65], p < .001). CONCLUSION: Older LTSS recipients with a combination of MCCs that includes cardiopulmonary conditions have increased risk for hospitalization.

Transitional care in skilled nursing facilities: a multiple case study.

BACKGROUND: Among hospitalized older adults who transfer to skilled nursing facilities (SNF) for short stays and subsequently transfer to home, twenty two percent require additional emergency department or hospital care within 30 days. Transitional care services, that provide continuity and coordination of care as older adults transition between settings of care, decrease complications during transitions in care, however, they have not been examined in SNFs. Thus, this study described how existing staff in SNFs delivered transitional care to identify opportunities for improvement. METHODS: In this prospective, multiple case study, a case was defined as an individual SNF. Using a sampling plan to assure maximum variation among SNFs, three SNFs were purposefully selected and 54 staff, patients and family caregivers participated in data collection activities, which included observations of care (N = 235), interviews (N = 66) and review of documents (N = 35). Thematic analysis was used to describe similarities and differences in transitional care provided in the SNFs as well as organizational structures and the quality of care-team interactions that supported staff who delivered transitional care services. RESULTS: Staff in Case 1 completed most key transitional care services. Staff in Cases 2 and 3, however, had incomplete and/or absent services. Staff in Case 1, but not in Cases 2 and 3, reported a clear understanding of the need for transitional care, used formal transitional care team meetings and tracking tools to plan care, and engaged in robust team interactions. CONCLUSIONS: Organizational structures in SNFs that support staff and interactions among patients, families and staff appeared to promote the ability of staff in SNFs to deliver evidence-based transitional care services. Findings suggest practical approaches to develop new care routines, tools, and staff training materials to enhance the ability of existing SNF staff to effectively deliver transitional care.

The impact of home health length of stay and number of skilled nursing visits on hospitalization among Medicare-reimbursed skilled home health beneficiaries.

The implementation of the Home Health Prospective Payment System in 2000 led to a dramatic reduction in home health length of stay and number of skilled nursing visits among Medicare beneficiaries. While policy leaders have focused on the rising costs of home health care, its potential underutilization, and the relationship between service use and patient outcomes including hospitalization rates have not been rigorously examined. A secondary analysis of five Medicare-owned assessment and claims data sets for the year 2009 was conducted among two independently randomly selected samples of Medicare-reimbursed home health recipients (each n = 31,485) to examine the relationship between home health length of stay or number of skilled nursing visits and hospitalization rates within 90 days of discharge from home health. Patients who had a home health length of stay of at least 22 days or received at least four skilled nursing visits had significantly lower odds of hospitalization than patients with shorter home health stays and fewer skilled nursing visits. Additional study is needed to clarify the best way to structure home health services and determine readiness for discharge to reduce hospitalization among this chronically ill population. In the mean time, the findings of this study suggest that home health providers should consider the benefits of at least four SNV and/or a home health LOS of 22 days or longer.