Postacute Care and Long-term Care for LGBTQ+ Older Adults.

LGBTQ + older adults have a high likelihood of accessing nursing home care. This is due to several factors: limitations performing activities of daily living and instrumental activities of daily living, restricted support networks, social isolation, delay seeking assistance, limited economic resources, and dementia. Nursing home residents fear going in the closet, which can have adverse health effects. Cultivating an inclusive nursing home culture, including administration, staff, and residents, can help older LGBTQ + adults adjust and thrive in long-term care.

Improving Communication in Nursing Homes Using Plan-Do-Study-Act Cycles of an SBAR Training Program.

BACKGROUND: Incomplete communication between staff and providers may cause adverse outcomes for nursing home residents. The Situation-Background-Assessment-Recommendation (SBAR) tool is designed to improve communication around changes in condition (CIC). An adapted SBAR was developed for the Centers for Medicare and Medicaid Services demonstration project, OPTIMISTIC, to increase its use during a resident CIC and to improve documentation. METHODS: Four Plan-Do-Study-Act (PDSA) cycles to develop and refine successive protocol implementation of the OPTIMISTIC SBAR were deployed in four Indiana nursing homes. Use of SBAR, documentation quality, and participant surveys were assessed pre- and post-intervention implementation. RESULTS: OPTIMISTIC SBAR use and documentation quality improved in three of the four buildings. Participants reported improved collaboration between nurses and providers after SBAR intervention. CONCLUSION: Successive PDSA cycles implementing changes in an OPTIMISTIC SBAR protocol for resident CIC led to an increase in SBAR use, improved documentation, and better collaboration between nursing staff and providers.

The Avoidable Transfer Scale: A New Tool for Identifying Potentially Avoidable Hospital Transfers of Nursing Home Residents.

Background and Objectives: Prior approaches to identifying potentially avoidable hospital transfers (PAHs) of nursing home residents have involved detailed root cause analyses that are difficult to implement and sustain due to time and resource constraints. They relied on the presence of certain conditions but did not identify the specific issues that contributed to avoidability. We developed and tested an instrument that can be implemented using review of the electronic medical record. Research Design and Methods: The OPTIMISTIC project was a Centers for Medicare and Medicaid Services demonstration to reduce avoidable hospital transfers of nursing home residents. The OPTIMISTIC team conducted a series of root cause analyses of transfer events, leading to development of a 27-item instrument to identify common characteristics of PAHs (Stage 1). To refine the instrument, project nurses used the electronic medical record (EMR) to score the avoidability of transfers to the hospital for 154 nursing home residents from 7 nursing homes from May 2019 through January 2020, including their overall impression of whether the transfer was avoidable (Stage 2). Each transfer was rated independently by 2 nurses and assessed for interrater reliability with a kappa statistic. Results: Kappa scores ranged from -0.045 to 0.556. After removing items based on our criteria, 12 final items constituted the Avoidable Transfer Scale. To assess validity, we compared the 12-item scale to nurses' overall judgment of avoidability of the transfer. The 12-item scale scores were significantly higher for submissions rated as avoidable than those rated unavoidable by the nurses (mean 5.3 vs 2.6, p < .001). Discussion and Implications: The 12-item Avoidable Transfer Scale provides an efficient approach to identify and characterize PAHs using available data from the EMR. Increased ability to quantitatively assess the avoidability of resident transfers can aid nursing homes in quality improvement initiatives to treat more acute changes in a resident's condition in place.

"I Don't Want to Spend the Rest of my Life Only Going to a Gender Wellness Clinic": Healthcare Experiences of Patients of a Comprehensive Transgender Clinic.

BACKGROUND: Transgender individuals are less likely to have had a primary care visit in the last year than cisgender individuals. While the importance of multidisciplinary clinics for transgender care has been established, little is known about the healthcare experiences of transgender patients with these clinics. OBJECTIVE: To describe how patients experience transgender clinics and how these experiences compare to those experiences in other settings. PARTICIPANTS: Twenty-one adult patients of a gender health program. DESIGN AND APPROACH: Semi-structured interviews of transgender patients. The interviews focused on two domains: healthcare experiences and relationships with healthcare providers. KEY RESULTS: Overall, transgender patients expressed a need for healthcare services, particularly for primary care, that are partially met by the comprehensive care clinic model. Limitations in access included the lack of willing providers, where the patients live, and long wait times for appointments. Participants recounted a range of experiences, both positive and negative, with providers outside of the transgender clinic, but only positive experiences to share about providers from the transgender clinic. CONCLUSION: Outside specialty transgender settings, many patients had negative experiences with providers who were unwilling or unable to provide care. This study speaks to the need for primary care providers who can and will treat transgender patients, as well as the need for healthcare spaces that feel safe to transgender patents.

Age-specific rates of hospital transfers in long-stay nursing home residents.

INTRODUCTION: hospital transfers and admissions are critical events in the care of nursing home residents. We sought to determine hospital transfer rates at different ages. METHODS: a cohort of 1,187 long-stay nursing home residents who had participated in a Centers for Medicare and Medicaid demonstration project. We analysed the number of hospital transfers of the study participants recorded by the Minimum Data Set. Using a modern regression technique, we depicted the annual rate of hospital transfers as a smooth function of age. RESULTS: transfer rates declined with age in a nonlinear fashion. Rates were the highest among residents younger than 60 years of age (1.30-2.15 transfers per year), relatively stable between 60 and 80 (1.17-1.30 transfers per year) and lower in those older than 80 (0.77-1.17 transfers per year). Factors associated with increased risk of transfers included prior diagnoses of hip fracture (annual incidence rate ratio or IRR: 2.057, 95% confidence interval (CI): [1.240, 3.412]), dialysis (IRR: 1.717, 95% CI: [1.313, 2.246]), urinary tract infection (IRR: 1.755, 95% CI: [1.361, 2.264]), pneumonia (IRR: 1.501, 95% CI: [1.072, 2.104]), daily pain (IRR: 1.297, 95% CI: [1.055,1.594]), anaemia (IRR: 1.229, 95% CI [1.068, 1.414]) and chronic obstructive pulmonary disease (IRR: 1.168, 95% CI: [1.010,1.352]). Transfer rates were lower in residents who had orders reflecting preferences for comfort care (IRR: 0.79, 95% CI: [0.665, 0.936]). DISCUSSION: younger nursing home residents may require specialised interventions to reduce hospital transfers; declining transfer rates with the oldest age groups may reflect preferences for comfort-focused care.

Describing Transfers Originating Out-of-Facility for Nursing Home Residents.

OBJECTIVES: Potentially avoidable hospitalizations are harmful to nursing home residents. Despite extensive care transitions research, no studies have described transfers originating outside the nursing home (eg, visiting family members or at a dialysis center). This article describes 82 out-of-facility (community) transfers and compares them to transfers originating within the nursing home (direct transfers). DESIGN: Secondary data analysis with multivariable model for community transfer risk factors. SETTING AND PARTICIPANTS: Eighty-two community transfers and 1362 transfers originating in the nursing home, involving 870 residents enrolled in the OPTIMISTIC demonstration project between January 1, 2015, and June 30, 2016. METHODS: Transfers were compared using data from the Minimum Data Set and root cause analyses performed at time of transfer. Multivariable associations were assessed at the transfer level to define risk factors for community transfers. Project nurses collected data on community transfers to inform a root cause analysis. RESULTS: Residents with community transfers were younger (74.4 years vs 78.2 years), with lower prevalence of cognitive impairment (44.8% vs 70.3%) and higher rates of heart failure (38.7% vs 23.3%) than residents with direct transfers. Community transfers were more likely due to cardiovascular illness (31.2% vs 8.7%), whereas less likely to be for cognitive, behavioral, and psychiatric concerns (11.7% vs 22.7%). Nearly half (46%) of community transfers originated at dialysis centers. Residents transferred outside the nursing home were less likely to have documented limitations to care such as a do not resuscitate code status. Communication during community transfers was identified on root cause analyses as a potential area for improvement. CONCLUSIONS AND IMPLICATIONS: Community transfers were more likely to occur in younger residents with higher rates of cardiovascular disease and lower rates of cognitive impairment. Improved communication between nursing home staff and outside providers as well as more extensive advance care planning for residents with cardiovascular disease may reduce community transfers.

COVID-19 disease trajectories among nursing home residents.

INTRODUCTION: Older adults are at greater risk of both infection with and mortality from COVID-19. Many U.S. nursing homes have been devastated by the COVID-19 pandemic, yet little has been described regarding the typical disease course in this population. The objective of this study is to describe and identify patterns in the disease course of nursing home residents infected with COVID-19. SETTING AND METHODS: This is a case series of 74 residents with COVID-19 infection in a nursing home in central Indiana between March 28 and June 17, 2020. Data were extracted from the electronic medical record and from nursing home medical director tracking notes from the time of the index infection through August 31, 2020. The clinical authorship team reviewed the data to identify patterns in the disease course of the residents. RESULTS: The most common symptoms were fever, hypoxia, anorexia, and fatigue/malaise. The duration of symptoms was extended, with an average of over 3 weeks. Of those infected 25 died; 23 of the deaths were considered related to COVID-19 infection. A subset of residents with COVID-19 infection experienced a rapidly progressive, fatal course. DISCUSSION/CONCLUSIONS: Nursing home residents infected with COVID-19 from the facility we studied experienced a prolonged disease course regardless of the severity of their symptoms, with implications for the resources needed to care for and support of these residents during active infection and post-disease. Future studies should combine data from nursing home residents across the country to identify the risk factors for disease trajectories identified in this case series.

Facility and resident characteristics associated with variation in nursing home transfers: evidence from the OPTIMISTIC demonstration project.

BACKGROUND: Centers for Medicare and Medicaid Services (CMS) funded demonstration project to evaluate financial incentives for nursing facilities providing care for 6 clinical conditions to reduce potentially avoidable hospitalizations (PAHs). The Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) site tested payment incentives alone and in combination with the successful nurse-led OPTIMISTIC clinical model. Our objective was to identify facility and resident characteristics associated with transfers, including financial incentives with or without the clinical model. METHODS: This was a longitudinal analysis from April 2017 to June 2018 of transfers among nursing home residents in 40 nursing facilities, 17 had the full clinical + payment model (1726 residents) and 23 had payment only model (2142 residents). Using CMS claims data, the Minimum Data Set, and Nursing Home Compare, multilevel logit models estimated the likelihood of all-cause transfers and PAHs (based on CMS claims data and ICD-codes) associated with facility and resident characteristics. RESULTS: The clinical + payment model was associated with 4.1 percentage points (pps) lower risk of all-cause transfers (95% confidence interval [CI] - 6.2 to - 2.1). Characteristics associated with lower PAH risk included residents aged 95+ years (- 2.4 pps; 95% CI - 3.8 to - 1.1), Medicare-Medicaid dual-eligibility (- 2.5 pps; 95% CI - 3.3 to - 1.7), advanced and moderate cognitive impairment (- 3.3 pps; 95% CI - 4.4 to - 2.1; - 1.2 pps; 95% CI - 2.2 to - 0.2). Changes in Health, End-stage disease and Symptoms and Signs (CHESS) score above most stable (CHESS score 4) increased the risk of PAH by 7.3 pps (95% CI 1.5 to 13.1). CONCLUSIONS: Multiple resident and facility characteristics are associated with transfers. Facilities with the clinical + payment model demonstrated lower risk of all-cause transfers compared to those with payment only, but not for PAHs.

Effects of mindfulness-based interventions on fatigue in cancer survivors: A systematic review and meta-analysis of randomized controlled trials.

This systematic review and meta-analysis was designed to determine the efficacy of mindfulness-based interventions (MBIs) in improving fatigue-related outcomes in adult cancer survivors. Randomized controlled trials (RCTs) were identified from PubMed, MEDLINE, PsycINFO, CINAHL, Web of Science, and EMBASE databases and reference lists of included studies. Separate random-effects meta-analyses were conducted for fatigue and vitality/vigor. Twenty-three studies reporting on 21 RCTs (N = 2239) met inclusion criteria. MBIs significantly reduced fatigue compared to controls at post-intervention (g = 0.60, 95 % CI [0.36, 0.83]) and first follow-up (g = 0.42, 95 % CI [0.20, 0.64]). Likewise, MBIs significantly improved vitality/vigor at post-intervention (g = 0.39, 95 % CI [0.25, 0.52]) and first follow-up (g = 0.35, 95 % CI [0.03, 0.67]). The evidence grade was low due to risk of bias, substantial heterogeneity, and publication bias among studies. MBIs show promise in improving fatigue and vitality/vigor in cancer survivors. More rigorous trials are needed to address current gaps in the evidence base.

Nursing Home Transfers for Behavioral Concerns: Findings from the OPTIMISTIC Demonstration Project.

OBJECTIVES: To characterize pretransfer on-site nursing home (NH) management, transfer disposition, and hospital discharge diagnoses of long-stay residents transferred for behavioral concerns. DESIGN: This was a secondary data analysis of the Optimizing Patient Transfers, Impacting Medical Quality, Improving Symptoms: Transforming Institutional Care project, in which clinical staff employed in the NH setting conducted medical, transitional, and palliative care quality improvement initiatives and gathered data related to resident transfers to the emergency department/hospital setting. R software and Microsoft Excel were used to characterize a subset of transfers prompted by behavioral concerns. SETTING: NHs in central Indiana were utilized (N = 19). PARTICIPANTS: This study included long-stay NH residents with behavioral concerns prompting transfer for acute emergency department/hospital evaluation (N = 355 transfers). MEASUREMENTS: The measures used in this study were symptoms prompting transfer, resident demographics and baseline characteristics (Minimum Data Set 3.0 variables including scores for the Cognitive Function Scale, ADL Functional Status, behavioral symptoms directed toward others, and preexisting psychiatric diagnoses), on-site management (e.g., medical evaluation in person or by phone, testing, and interventions), avoidability rating, transfer disposition (inpatient vs emergency department only), and hospital discharge diagnoses. RESULTS: Over half of the transfers, 56%, had a medical evaluation before transfer, and diagnostic testing was conducted before 31% of transfers. After transfer, 80% were admitted. The most common hospital discharge diagnoses were dementia-related behaviors (27%) and altered mental status (27%), followed by a number of medical diagnoses. CONCLUSION: Most transfers for behavioral concerns merited hospital admission, and medical discharge diagnoses were common. There remain significant opportunities to improve pretransfer management of NH transfers for behavioral concerns.

Complex Transitions from Skilled Nursing Facility to Home: Patient and Caregiver Perspectives.

BACKGROUND: Patients who undergo the complex series of transitions from the hospital to a skilled nursing facility (SNF) back to home represent a unique patient population with multiple comorbidities and impaired functional abilities. The needs and outcomes of patients who are discharged from the hospital to SNF before returning home are understudied in care transitions scholarship. OBJECTIVE: To study the patient and caregiver challenges and perspectives on transitions from the hospital to the SNF and back to home. DESIGN: Between 48 h and 1 week after discharge from the SNF, semi-structured interviews were performed with a convenience sample of patients and caregivers in their homes. Within 1 to 2 weeks after the baseline interview, follow-up interviews were performed over the phone. PARTICIPANTS: A total of 39 interviewees comprised older adults undergoing the series of transitions from hospital to skilled nursing facility to home and their informal caregivers. MAIN MEASURES: A constructionist, grounded-theory approach was used to code the interviews, identify major themes and subthemes, and develop a theoretical model explaining the outcomes of the SNF to home transition. KEY RESULTS: The mean age of the patients was 76.6 years and 64.8 years for the caregivers. Four major themes were identified: comforts of home, information needs, post-SNF care, and independence. Patients noted an extended time away from home and were motivated to return to and remain in the home. Information needs were variably met and affected post-SNF care, including medication management, appointments, and therapy gains and setbacks. Interviewees identified independent function at home as the most important outcome of the transition home. CONCLUSIONS: Post-SNF in home support is needed rapidly after discharge from the SNF to prevent adverse outcomes. In-home support needs to be highly individualized based on a patient's and caregiver's unique situation and needs.

Supporting caregivers of veterans with Alzheimer's disease and traumatic brain injury: study protocol for a randomized controlled trial.

BACKGROUND: Patients with Alzheimer's disease and related dementias (ADRD) and traumatic brain injury (TBI) and their caregivers require cognitive and behavioral symptom management, interdisciplinary care, support for caregivers, and seamless care coordination between providers. Caring for someone with ADRD or TBI is associated with higher rates of psychological morbidity and burden, social isolation, financial hardship, and deterioration of physical health. Tremendous need exists for primary care-based interventions that concurrently address the care needs of dyads and aim to improve care and outcomes for both individuals with ADRD and TBI and their family caregivers. METHODS: The Aging Brain Care Acquiring New Skills While Enhancing Remaining Strengths (ABC ANSWERS) study is a randomized controlled trial that tests the effectiveness of an intervention based on two evidence-based programs that have been developed for and previously tested in populations with ADRD, TBI, stroke, and late-life depression and/or who have survived an intensive care unit stay. This study includes 200 dyads comprised of a veteran with a diagnosis of ADRD or TBI and the veteran's primary informal caregiver. Dyads are randomized to receive the ABC ANSWERS intervention or routine Veterans Health Administration (VHA) primary care with a standardized educational and resource information packet. Data collection occurs at baseline and three follow-up time points (3 months, 6 months, and 12 months). The primary outcome is caregiver quality of life (QoL). A secondary measure for the caregiver is caregiver burden. Secondary measures for both the veteran and caregiver include symptoms of depression and anxiety. DISCUSSION: The ABC ANSWERS intervention integrates common features of an evidence-based collaborative care model for brain health while concurrently attending to the implementation barriers of delivering care and skills to dyads. We hypothesize that caregivers in dyads randomized to the ABC ANSWERS program will experience higher levels of QoL and lower levels of depression, anxiety, dyadic strain, and caregiver burden at 12 months than those receiving usual VHA primary care. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03397667. Registered on 12 January 2018.

Reducing the Risk of Hospitalization for Nursing Home Residents: Effects and Facility Variation From OPTIMISTIC.

OBJECTIVES: The Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project led to significant decreases in potentially avoidable hospitalizations of long-stay nursing facility residents in external evaluation. The purpose of this study was to quantify hospitalization risk from the start of the project and describe the heterogeneity of the enrolled facilities in order to better understand the context for successful implementation. DESIGN: Pre-post analysis design of a prospective intervention within a single group. SETTING AND PARTICIPANTS: A total of 4320 residents in the 19 facilities were included from admission until time to the first hospitalization. MEASURES: Data were extracted from Minimum Data Set assessments and linked with facility-level covariates from the LTCFocus.org data set. Kaplan-Meier and Cox proportional hazards regression were used to assess risk of hospitalization during the preintervention period (2011-2012), a "ramp-up" period (2013-2014), and an intervention period (2015-2016). RESULTS: The cohort consisted of 4230 long-stay nursing facility residents. Compared with the preintervention period, residents during the intervention period had an increased probability of having no hospitalizations within 1 year, increasing from 0.51 to 0.57, which was statistically significant (P < .001). In adjusted Cox models, the risk of hospitalization was lower in the ramp-up period compared to the pre-period [hazard ratio (HR) 0.85, 95% confidence interval (CI) 0.75-0.95] and decreased further during the intervention period (HR 0.74, 95% CI 0.65-0.84). CONCLUSIONS AND IMPLICATIONS: As part of a large multisite demonstration project, OPTIMISTIC has successfully reduced hospitalizations. However, this study highlights the magnitude and extent to which results differ across facilities. Implementing the OPTIMISTIC program was associated with a 16% risk reduction after the first 18 months and continued to a final risk reduction of 26% after 5½ years. Although this model of care reduces hospitalizations overall, facility variation should be expected.

Long-Stay Nursing Facility Resident Transfers: Who Gets Admitted to the Hospital?

BACKGROUND/OBJECTIVES: The Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project is a successful, multicomponent demonstration project to reduce potentially avoidable hospitalizations of long-stay nursing facility residents. To continue to reduce hospital transfers, a more detailed understanding of these transfer events is needed. The purpose of this study was to describe differences in transfer events that result in treatment in the hospital versus emergency department (ED) only. DESIGN: OPTIMISTIC project nurses collected data on residents who transferred. Transfer events that resulted in treatment in ED versus hospitalization were compared using t-tests and chi-square tests. A generalized estimating equations regression model was used to assess the associations between hospital admission and transfer characteristics. PARTICIPANTS: A total of 867 long-stay nursing facility residents enrolled in OPTIMISTIC, January 2015 to June 2016. MEASUREMENTS: Resident and transfer characteristics from Minimum Data Set and project REDCap (Research Electronic Data Capture) database, including demographics, cognitive status, comorbidities, symptoms at time of transfer, and diagnoses. RESULTS: The most common symptoms associated with treatment in the ED only were falls, trauma, or fracture (38% vs 10% admitted). Residents with cognitive impairment were more likely to be admitted to the hospital (odds ratio (OR) = 1.47; 95% confidence interval (CI) = 1.09-1.98; P = .011). Residents with respiratory complaints were more likely to be admitted (OR = 2.098; 95% CI = 1.198-3.675; P = .009); residents with hematological/bleeding (nongastrointestinal) (OR = 0.23; 95% CI = 0.107-0.494; P = .0002), pain (OR = 0.421; 95% CI = 0.254-0.698; P = .0008), or fall/trauma/fracture (OR = 0.181; 95% CI = 0.12-0.272; P < .001) were less likely to be admitted to the hospital. CONCLUSION: Some presenting symptoms and other characteristics are more associated with ED only treatment versus hospitalization. A knowledge of who is likely to receive ED only care could prompt adoption of targeted resources and protocols to further reduce these types of transfer events. Opportunity may exist in the ED as well to reduce hospitalizations and increase discharges back to the facility.

Frequency and Predictors of Polypharmacy in US Medicare Patients: A Cross-Sectional Analysis at the Patient and Physician Levels.

BACKGROUND: Polypharmacy in older patients increases the risk of medication-related adverse events and can be a marker of unnecessary care. OBJECTIVES: The aim of this study was to describe the frequency of polypharmacy among patients 65 years of age or older and identify factors associated with the occurrence of patient-level and physician-level polypharmacy. METHODS: We performed a cross-sectional analysis of 100% Medicare claims data from January 1, 2016 to December 31, 2016. All patients with continuous Medicare coverage (Parts A, B, and D) throughout 2016 who were 65 years of age or older and who were prescribed at least one medication for at least 30 days were included in the analysis. Each patient was attributed to the primary care physician who prescribed them the most medications. Physicians treating fewer than ten patients were excluded. We defined polypharmacy based on the highest number of concurrent medications at any point during the year. We used hierarchical linear regression to study patient- and physician-level characteristics associated with high prescribing rates. RESULTS: We identified 25,747,560 patients attributed to 147,879 primary care physicians. The patient-level mean [standard deviation (SD)] concurrent medication rate was 5.6 (3.3), and the physician-level mean (SD) was 5.6 (1.1). A total of 6108 physicians (4.1% of sample) had a mean concurrent number of medications greater than two SDs above the physician-level mean. At the patient level in the adjusted model, a history of HIV/AIDS, diabetes mellitus, solid organ transplant, and systolic heart failure were the comorbidities most strongly associated with polypharmacy. The relative difference in number of medications associated with these comorbidities were 1.89, 1.39, 1.32, and 1.06, respectively. At the physician level, increased time since medical school graduation and smaller practice size were associated with lower rates of polypharmacy. CONCLUSIONS: Patterns of high prescribing to older patients is common and measurable at the physician level. Addressing high outlier prescribers may represent an opportunity to reduce avoidable harm and excessive costs.