Sex differences in unmet needs between male and female older veterans.

Aging Veterans face complex needs across multiple domains. However, the needs of older female Veterans and the degree to which unmet needs differ by sex are unknown. We analyzed responses to the HERO CARE survey from 7,955 Veterans aged 55 years and older (weighted N = 490,148), 93.9% males and 6.1% females. We evaluated needs and unmet needs across the following domains: activities of daily living (ADLs), instrumental ADLs (IADLs), health management, and social. We calculated weighted estimates and compared sex differences using age-adjusted prevalence ratios. On average, female Veterans were younger, more were Non-Hispanic Black and unmarried. Females and males reported a similar prevalence of problems across all domains. However, compared to males, female Veterans had a lesser prevalence of missed appointments due to transportation (aPR 0.49; 95% CI: 0.26-0.92), housework unmet needs (aPR: 0.44; 95% CI: 0.20-0.97), and medication management unmet needs (aPR: 0.33; 95% CI: 0.11-0.95) but a higher prevalence of healthcare communication unmet needs (aPR: 2.40; 95% CI: 1.13-5.05) and monitoring health conditions unmet needs (aPR: 2.13, 95% CI: 1.08-4.20). Female Veterans' common experience of unmet needs in communicating with their healthcare teams could result in care that is less aligned with their preferences or needs. As the number of older female Veterans grows, these data and additional work to understand sex-specific unmet needs and ways to address them are essential to providing high-quality care for female Veterans.

Fall-related Injuries and Opioid Administration Among Veterans With Dementia in US Department of Veterans Affairs Community Living Centers.

OBJECTIVES: Opioid use is associated with fall-related injuries (FRI) among older adults, especially those with dementia. We examined FRI following changes in national opioid safety initiatives over 3 regulatory periods [preinitiatives baseline (period 1): October 2012 to June 2013; post-Veteran Affairs (VA) opioid safety initiative (period 2): January 2014 to November 2015; post-VA and CDC opioid prescribing guidelines (period 3): March 2017 to September 2018] among Department of VA Community Living Center (CLC) long-stay residents with dementia. DATA: VA provided and purchased care records, Medicare claims, CLC Minimum Data Set (MDS) assessments. VA bar-code medication administration data, VA outpatient prescription refill data, and Medicare Part D data were used to capture medication from inpatient, outpatient, and Medicare sources. SETTINGS AND PARTICIPANTS: A total of 12,229 long-stay CLC residents with dementia between October 2012 and September 2018. METHODS: We applied Veteran-regulatory period level (1) generalized linear model to examine the unadjusted and adjusted trends of FRI, and (2) difference-in-difference model with propensity score weighting to examine the relationship between opioid safety initiatives and FRI in 3 regulatory periods. We applied propensity score weighting to enable the cohorts in periods 2 and 3 had similar indications for opioid administration as in period 1. RESULTS: FRI prevalence per month among CLC residents with Alzheimer disease and related dementias decreased from 3.1% in period 1 to 1.6% and 1.2% in periods 2 and 3, and the adjusted probability of FRI was 17% and 40% lower in periods 2 and 3 compared with period 1. The any, incident, and continued opioid administration were significantly associated with higher FRI, whereas the differences in FRI probabilities between opioid and nonopioid users had no significant changes over the 3 regulatory periods. CONCLUSIONS: FRI was reduced among CLC residents with Alzheimer disease and related dementias receiving care in VA CLCs over the 3 regulatory periods, but the FRI reduction was not significantly associated with opioid safety initiatives. Other interventions that potentially targeted falls are likely to have helped reduce these fall events. Future studies could examine whether opioid use reduction ultimately benefitted nursing home residents by focusing on other possible outcomes or whether such reduction only resulted in more untreated pain.

Developing a Machine Learning Risk-adjustment Method for Hospitalizations and Emergency Department Visits of Nursing Home Residents With Dementia.

BACKGROUND: Long-stay nursing home (NH) residents with Alzheimer disease and related dementias (ADRD) are at high risk of hospital transfers. Machine learning might improve risk-adjustment methods for NHs. OBJECTIVES: The objective of this study was to develop and compare NH risk-adjusted rates of hospitalizations and emergency department (ED) visits among long-stay residents with ADRD using Extreme Gradient Boosting (XGBoost) and logistic regression. RESEARCH DESIGN: Secondary analysis of national Medicare claims and NH assessment data in 2012 Q3. Data were equally split into the training and test sets. Both XGBoost and logistic regression predicted any hospitalization and ED visit using 58 predictors. NH-level risk-adjusted rates from XGBoost and logistic regression were constructed and compared. Multivariate regressions examined NH and market factors associated with rates of hospitalization and ED visits. SUBJECTS: Long-stay Medicare residents with ADRD (N=413,557) from 14,057 NHs. RESULTS: A total of 8.1% and 8.9% residents experienced any hospitalization and ED visit in a quarter, respectively. XGBoost slightly outperformed logistic regression in area under the curve (0.88 vs. 0.86 for hospitalization; 0.85 vs. 0.83 for ED visit). NH-level risk-adjusted rates from XGBoost were slightly lower than logistic regression (hospitalization=8.3% and 8.4%; ED=8.9% and 9.0%, respectively), but were highly correlated. Facility and market factors associated with the XGBoost and logistic regression-adjusted hospitalization and ED rates were similar. NHs serving more residents with ADRD and having a higher registered nurse-to-total nursing staff ratio had lower rates. CONCLUSIONS: XGBoost and logistic regression provide comparable estimates of risk-adjusted hospitalization and ED rates.

Effects of a Rehabilitation-at-Home Program Compared to Post-acute Skilled Nursing Facility Care on Safety, Readmission, and Community Dwelling Status: A Matched Cohort Analysis.

OBJECTIVES: To evaluate the effectiveness and safety of Rehabilitation-at-Home (RaH), which provides high-frequency, multidisciplinary post-acute rehabilitative services in patients' homes. DESIGN: Comparative effectiveness analysis. SETTING AND PARTICIPANTS: Medicare Fee-For-Service patients who received RaH in a Center for Medicare and Medicaid Innovation Center Demonstration during 2016-2017 (N=173) or who received Medicare Skilled Nursing Facility (SNF) care in 2016-2017 within the same geographic service area with similar inclusion and exclusion criteria (N=5535). METHODS: We propensity-matched RaH participants to a cohort of SNF patients using clinical and demographic characteristics with exact match on surgical and non-surgical hospitalizations. Outcomes included hospitalization within 30 days of post-acute admission, death within 30 days of post-acute discharge, length of stay, falls, use of antipsychotic medication, and discharge to community. RESULTS: The majority of RaH participants were older than or equal to 85 years (57.8%) and non-Hispanic white (72.2%) with mean hospital length of stay of 8.1 (SD 7.6) days. In propensity-matched analyses, 10.1% (95% CI: 0.5%, 19.8) and 4.2% (95% CI: 0.1%, 8.5%) fewer RaH participants experienced hospital readmission and death, respectively. RaH participants had, on average, 2.8 fewer days (95% CI 1.4, 4.3) of post-acute care; 11.4% (95% CI: 5.2%, 17.7%) fewer RaH participants experienced fall; and 25.8% (95% CI: 17.8%, 33.9%) more were discharged to the community. Use of antipsychotic medications was no different. CONCLUSIONS AND IMPLICATIONS: RaH is a promising alternative to delivering SNF-level post-acute RaH. The program seems to be safe, readmissions are lower, and transition back to the community is improved.

Better performance for right-skewed data using an alternative gamma model.

BACKGROUND: The Maximum Likelihood Estimator (MLE) for parameters of the gamma distribution is commonly used to estimate models of right-skewed variables such as costs, hospital length of stay, and appointment wait times in Economics and Healthcare research. The common specification for this estimator assumes the variance is proportional to the square of the mean, which underlies estimation and specification tests. We present a specification in which the variance is directly proportional to the mean. METHODS: We used simulation experiments to investigate finite sample results, and we used United States Department of Veterans Affairs (VA) healthcare cost data as an empirical example comparing the fit and predictive ability of the models. RESULTS: Simulation showed the MLE based on a correctly specified alternative has less parameter bias, lower standard errors, and less skewness in distribution than a misspecified standard model. The application to VA healthcare cost data showed the alternative specification can have better R square, smaller root mean squared error, and smaller mean residuals within deciles of predicted values. CONCLUSIONS: The alternative gamma specification can be a useful alternative to the standard specification for estimating models of right-skewed continuous variables.

Clinical use of photobiomodulation for the prevention and treatment of oral mucositis: the real-life experience of MASCC/ISOO members.

AIM: To assess clinical use and patient outcome of photobiomodulation (PBM) for oral mucositis (OM) prevention and treatment among specialized practitioners. METHODS: A poll was emailed to the members of the Mucositis Study Group of MASCC/ISOO. The PBM parameters used by the respondents were analyzed using exploratory statistical methods to identify combinations of PBM parameters (patterns) that characterize the variance in the protocols (principal component analysis). RESULTS: Responses were received from 101 MSG members, with 78 providing analyzable data. Most of the responders were dental practitioners or oral medicine specialists. PBM was used by 59% of the responders for OM or targeted therapy stomatitis. Technical parameters varied widely. Most responders used wavelengths ∼650 nm intra-orally. The spot-size and distance from the tissue were the main factors driving the variation. All PBM users noted that PBM relieved pain, either immediately or a delayed effect. High likelihood of pain relief (measured as responder's report of pain relief in 67-100% of patients) was reported by 22% and 19% of PBM users for immediate pain relief and delayed pain relief, respectively. The most common reported barriers to using PBM were financial considerations, time constraints, lack of training or experience and concern about the potential for malignant transformation or increased risk of cancer recurrence. CONCLUSIONS: The use of PBM for OM prevention or treatment is in early phases of adoption in practices, facing some obstacles to implement it. A wide variation in technical parameters was found. Nonetheless, responses indicate that PBM provided pain relief.

Rural-Urban Differences in Nursing Home Risk-adjusted Rates of Emergency Department Visits: A Decomposition Analysis.

BACKGROUND: Higher risk-adjusted rate of emergency department (ED) visits might reflect poor quality of nursing home (NH) care; however, existing evidence is limited regarding rural-urban differences in ED rates of NHs, especially for long-stay residents. OBJECTIVES: To determine and quantify sources of rural-urban differences in NH risk-adjusted rates of any ED visit, ED without hospitalization or observation stay (outpatient ED), and potentially avoidable ED visits (PAED) of long-stay residents. RESEARCH DESIGN: We calculated quarterly NH risk-adjusted rates using 2011-2013 national Medicare claims and Minimum Data Set 3.0, and then implemented Generalized Estimating Equation models to examine rural-urban differences in ED rates and Blinder-Oaxaca decomposition to quantify the contributions of NH and market factors. SUBJECTS: Privately owned, free-standing NHs in the United States (N=13,260). RESULTS: Over the study period, risk-adjusted rates averaged 9.8% for any ED, 3.3% for outpatient ED, and 3.2% for PAED. Compared with urban NHs, rural NHs were associated with significantly lower rates of any ED, outpatient ED, and PAED (ß=-1.67%, -0.44%, and -0.28%; all P<0.01). Observable differences in market factors (nursing home bed concentration, hospital beds, and the existence of a critical access hospital) explained about half of the rural-urban differences in rates of any ED and PAED, but not outpatient ED. CONCLUSIONS: Decomposition analyses suggested that lower ED rates in rural NHs appear to be related to market availability of hospital resources. Policymakers may focus on not only reducing unnecessary ED visits but also ensuring equitable hospital access in rural areas.

Impact of an interdisciplinary intervention for distress behaviors in dementia on psychotropic drug use in Veterans Health Administration Community Living Centers: STAR-VA impact on psychotropic drug utilization.

STAR-VA is an interdisciplinary behavioral approach for managing distress behaviors in residents with dementia, implemented at Veterans Health Administration nursing homes. This study evaluated the impact of STAR-VA implementation on psychotropic drug use. The study design is a retrospective, quasi-experimental cohort analysis of residents enrolled as STAR-VA training cases compared with eligible residents at untrained sites to evaluate treatment effects on psychotropic medication use. We matched 229 STAR-VA cases with 1,163 comparisons. STAR-VA cases experienced an average reduction of 0.92 "as-needed" doses per month (95% confidence interval [CI] -1.82, -0.02) compared with controls. No significant effect on non-STAR-VA cases in trained facilities was detected. STAR-VA programs are an important option for reducing potentially inappropriate psychotropic use.

Can Continuity of Care Reduce Hospitalization Among Community-dwelling Older Adult Veterans Living With Dementia?

BACKGROUND: Hospitalization is a difficult experience, especially for patients with dementia. Understanding whether better continuity of care (COC) reduces hospitalizations can indicate interventions that might help curb hospitalizations. OBJECTIVE: To estimate the causal impact of COC on hospitalizations and different reasons for hospitalization among community-dwelling older veterans with dementia. RESEARCH DESIGN: Population-based observational study using nationwide Veterans Health Administration data linked to Medicare claims in Fiscal Years (FYs) 2014-2015. To account for unobserved confounders we used an instrumental variable for COC-whether veteran changed residence by more than 10 miles. SUBJECTS: Community-dwelling veterans with dementia aged 66 and older, enrolled in Traditional Medicare (n=105,528). MEASURES: Bice-Boxerman Continuity of Care (BBC) index (0-worst to 1-best COC); binary indicators of any hospitalization for all causes, for ambulatory care sensitive conditions (ACSCs) and for reasons grouped by major diagnostic category. RESULTS: The mean BBC in FY 2014 was 0.32 (SD, 0.23). In FY 2015 43.3% of the cohort veterans were hospitalized. A 0.1 higher BBC resulted in 2.4% (95% confidence interval, 0.5%-4.4%) lower probability of hospitalization for all causes. BBC was not associated with hospitalization for ACSCs. Grouped by major diagnostic category, a 0.1 higher BBC resulted in 3.8% (95% confidence interval, 2.1%-5.4%) lower probability of hospitalization for neuropsychiatric diseases/disorders, with no impact on hospitalizations for circulatory, respiratory, infectious, kidney and urinary, digestive, musculoskeletal, and endocrine-metabolic diseases/disorders. CONCLUSIONS: Among community-dwelling older veterans with dementia, better COC resulted in less hospitalizations, and this effect was primarily due to less hospitalization for neuropsychiatric diseases/disorders but not hospitalization for ACSCs, or other hospitalization reasons.

Construction and Validation of Risk-adjusted Rates of Emergency Department Visits for Long-stay Nursing Home Residents.

BACKGROUND: Long-stay nursing home (NH) residents are at high risk of having emergency department (ED) visits, but current knowledge regarding risk-adjusted ED rates is limited. OBJECTIVES: To construct and validate 3 quarterly risk-adjusted rates of long-stay residents' ED use: any ED visit, ED visits without hospitalization or observation stay (outpatient ED), and potentially avoidable ED visits (PAED). RESEARCH DESIGN: The authors calculated quarterly NH risk-adjusted ED rates from 2011 Q2 to 2013 Q3 national Medicare claims and Minimum Data Set data. Using random-effect linear regressions, the authors validated these rates against Nursing Home Compare overall 5-star quality ratings and examined their associations with hospitalization rates to provide a quality context. SUBJECTS: Resident-quarter observations (7.3 million) from 15,235 unique NHs. RESULTS: Risk-adjusted rates of any ED, outpatient ED, and PAED averaged 9.7%, 3.4%, and 3.2%, respectively. Compared with NHs with 1 or 2 stars overall rating, NHs with ≥3 stars were significantly associated with lower rates of any ED visit, outpatient ED, and PAED (ß, -0.23%, -0.16%, and -0.11%, respectively; all P<0.01). Pearson Correlation coefficients between hospitalization rates and rates of any ED visit, outpatient ED, and PAED were 0.74, 0.31, and 0.46, respectively. CONCLUSIONS: The moderately negative associations of 5-star ratings with ED rates provide supportive evidence to their validity. Outpatient ED and PAED were moderately correlated to hospitalizations suggesting they provided more information about quality than any ED.

Benchmarking Site of Death and Hospice Use: A Case Study of Veterans Cared by Department of Veterans Affairs Home-based Primary Care.

OBJECTIVE: The objective of this study was to examine site of death and hospice use, identifying potential disparities among veterans dying in Department of Veterans Affairs (VA) Home Based Primary Care (VA-HBPC). METHODS: Administrative data (2008, 2012, and 2016) were compiled using the VA Residential-History-File which tracks health care service location, daily. Outcomes were site of death [home, nursing home (NH), hospital, inpatient hospice]; and hospice use on the day of death. We compared VA-HBPC rates to rates of 2 decedent benchmarks: VA patients and 5% Traditional Medicare non-veteran males. Potential age, race, urban/rural residence and living alone status disparities in rates among veterans dying in VA-HBPC in 2016 were examined by multinomial logistic regression. RESULTS: In 2016, 7796 veterans died in VA-HBPC of whom 62.1% died at home, 11.8% in NHs, 14.7% in hospitals and 11.4% in inpatient hospice. Hospice was provided to 60.9% of veterans dying at home and 63.9% of veterans dying in NH. Over the 2008-2012-2016 period, rates of VA-HBPC veterans who died at home and rates of home death with hospice increased and were higher than both benchmarks. Among VA-HBPC decedents, younger/older veterans were more/less likely to die at home and less/more likely to die with hospice. Race/ethnicity and urban/rural residence were unrelated to death at home but veterans living alone were less likely to die at home. CONCLUSIONS: Results reflect VA-HBPC's primary goal of supporting its veterans at home, including at the end-of-life, surpassing other population benchmarks with some potential disparities remaining.

A Bayesian procedure for estimating the causal effects of nursing home bed-hold policy.

Nursing home bed-hold policies provide continuity of care for Medicaid beneficiaries by paying nursing homes to reserve beds so residents can return to their facility of occupancy following an acute hospitalization. In 2001, Michigan implemented bed-hold policies in nursing homes. We investigated the impact of these policies on mortality and hospitalizations using 1999-2004 quarterly data from nursing homes in Michigan and nursing homes in 11 states that did not implement such policies. Synthetic Control has been used to estimate the effects of policies by accounting for changes over time unrelated to the intervention. Synthetic Control is intended for scalar continuous outcome at each period, and assumes a single treated unit and multiple control units. We propose a Bayesian procedure to overcome these limitations. It imputes the outcomes of nursing homes in Michigan if they were not exposed to the policy by matching to non-exposed nursing homes that are associated with the exposed ones in the pre-policy period. Because sampling from a Bayesian model is computationally challenging, we describe an approximation procedure that can be implemented using existing software. Our approach can be applied to other studies that examine the impact of policies.

Mobility Improvements are Found in Older Veterans After 6-Months of Gerofit Regardless of BMI Classification.

Veterans represent a unique population of older adults as they are more likely to self-report disability and be overweight or obese compared to the general population. We sought to compare changes in mobility function across the obesity spectrum in older Veterans participating in six-months of Gerofit, a clinical exercise program. 270 Veterans completed baseline, three, and six-month functional assessment and were divided post-hoc into groups: normal weight, overweight, and obese. Physical function assessment included: ten-meter walk time, six-minute walk distance, 30-second chair stands, and eight-foot up-and-go time. No significant weight x time interactions were found for any measure. However, significant (P<0.02) improvements were found for all mobility measures from baseline to three-months and maintained at six-months. Six-months of participation in Gerofit, if enacted nationwide, appears to be one way to improve mobility and function in older Veterans at high risk for disability regardless of weight status.

VA Staff Perceptions of Barriers and Facilitators to Home-and Community-Based Placement Post-Hospital Discharge.

This study identifies factors U.S. Department of Veterans Affairs (VA) staff perceived to promote or impede home- and community-based services (HCBS) placement post-hospital discharge among Veterans cared for within the VA. Data derive from 35 semi-structured interviews with staff from 12 VA medical centers from around the country. VA staff reported that Veteran's care needs and social and financial resources influence HCBS placement. They also reported prerequisites for successful placement, including housing, unpaid informal care, and non-VA services funded privately and by public programs such as Medicaid and the Older Americans Act. Lack of staffing and failure to offer the specific types of services needed limit referral to and use of HCBS. Budgetary imperatives influence the relative availability of HCBS across VA medical centers. Findings highlight patient-, provider-, and system-level constraints that impede successful placement at home and in the community of Veterans in need of long-term services and supports after hospitalization.

The Impact of Chain Standardization on Nursing Home Staffing.

BACKGROUND: Standardization in production is common in multientity chain organizations. Although chains are prominent in the nursing home sector, standardization in care has not been studied. One way nursing home chains may standardize is by controlling the level and mix of staffing in member homes. OBJECTIVES: To examine the extent to which standardization occurred in staffing, its relative presence across different types of chains, and whether facilities became more standardized following acquisition by a chain. RESEARCH DESIGN: We estimated predictors of the difference between facility and chain staffing using Generalized Estimating Equations with 2000-2010 data. SUBJECTS: This study included nursing homes nationally, excluding hospital-based homes and homes in Alaska, Hawaii, and the District of Columbia. MEASURES: Chain ownership was coded from text identifying chain names. Two nurse staffing measures were used: staff hours per resident day and staff mix. RESULTS: Very large for-profit chain nursing homes and large nonprofits had less variation in staff hours per resident day (P<0.001) but greater variation in staffing mix (P<0.001) compared with the chain average nationally. Large for-profit chains and medium nonprofit chains had greater dispersion on staff hours per resident day (P<0.001), while large nonprofit chains had greater dispersion in staffing mix (P<0.001). The difference between facility and chain staffing decreased over time. CONCLUSIONS: The largest chains (for-profit and nonprofit) had less staffing variation compared with national standards, suggesting they were best at implementing corporate practices. Following ownership changes, staffing converged towards chain averages over time, suggesting standardization takes time to implement.

Validation of the JEN frailty index in the National Long-Term Care Survey community population: identifying functionally impaired older adults from claims data.

BACKGROUND: Use of a claims-based index to identify persons with physical function impairment and at risk for long-term institutionalization would facilitate population health and comparative effectiveness research. The JEN Frailty Index [JFI] is comprised of diagnosis domains representing impairments and multimorbid clusters with high long-term institutionalization [LTI] risk. We test the index's discrimination of activities-of-daily-living [ADL] dependency and 1-year LTI and mortality in a nationally representative sample of over 12,000 Medicare beneficiaries, and compare long-term community survival stratified by ADL and JFI. METHODS: 2004 U.S. National Long-Term Care Survey data were linked to Medicare, Minimum Data Set, Veterans Health Administration files and vital statistics. ADL dependencies, JFI score, age and sex were measured at baseline survey. ADL and JFI groups were cross-tabulated generating likelihood ratios and classification statistics. Logistic regression compared discrimination (areas under receiver operating characteristic curves), multivariable calibration and accuracy of the JFI and, separately, ADLs, in predicting 1-year outcomes. Hall-Wellner bands facilitated contrasts of JFI- and ADL-stratified 5-year community survival. RESULTS: Likelihood ratios rose evenly across JFI risk categories. Areas under the curves of functional dependency at ≥3 and ≥ 2 for JFI, age and sex models were 0.807 [95% c.i.: 0.795, 0.819] and 0.812 [0.801, 0.822], respectively. The area under the LTI curve for JFI and age (0.781 [0.747, 0.815]) discriminated less well than the ADL-based model (0.829 [0.799, 0.860]). Community survival separated by JFI strata was comparable to ADL strata. CONCLUSIONS: The JEN Frailty Index with demographic covariates is a valid claims-based measure of concurrent activities-of-daily-living impairments and future long-term institutionalization risk in older populations lacking functional information.

Nursing Home Chain Affiliation and Its Impact on Specialty Service Designation for Alzheimer Disease.

Specialty care units (SCUs) in nursing homes (NHs) grew in popularity during the 1990s to attract residents while national policies and treatment paradigms changed. Alzheimer disease has consistently been the dominant form of SCU. This study explored the extent to which chain affiliation, which is common among NHs, affected SCU bed designation. Using data from the Online Survey Certification and Reporting (OSCAR) from 1996 through 2010 with 207 431 NH-year observations, we described trends and compared chain-affiliated NHs with independent NHs. Designation of beds for Alzheimer disease SCUs grew from 1996 to 2003 and then declined. At the peak, 19.6% of all NHs had at least one Alzheimer disease SCU bed. In general, chain affiliation promoted Alzheimer disease SCU bed designation across time, chain size, and NH profit status. During the period of largest growth from 1996 to 2003, the likelihood of designation of Alzheimer disease SCU beds was 1.55 percentage points higher among for-profit NHs affiliated with large chains than independent for-profit NHs ( P < .001) and remained 1.28 percentage points higher from 2004 to 2010. However, chain-affiliated NHs generally had a lower percentage of residents with dementia than independent NHs. For example, although for-profit NHs affiliated with large chains had more Alzheimer disease SCU beds, they had nearly 3% fewer residents with dementia than independent NHs ( P < .001). We conclude that organizational decisions to designate beds for Alzheimer disease SCUs may be related to marketing strategies to attract residents since adoption of Alzheimer disease SCUs has fluctuated over time, but did not appear driven by demand.

Change in VA Community Living Centers 2004-2011: Shifting Long-Term Care to the Community.

The United States Department of Veterans Affairs (VA) is facing pressures to rebalance its long-term care system. Using VA administrative data from 2004-2011, we describe changes in the VA's nursing homes (called Community Living Centers [CLCs]) following enactment of directives intended to shift CLCs' focus from providing long-term custodial care to short-term rehabilitative and post-acute care, with safe and timely discharge to the community. However, a concurrent VA hospice and palliative care expansion resulted in an increase in hospice stays, the most notable change in type of stay during this time period. Nevertheless, outcomes for Veterans with non-hospice short and long stays, such as successful discharge to the community, improved. We discuss the implications of our results for simultaneous implementation of two initiatives in VA CLCs.

VA staff perceptions of the role of the extended care referral process in home and community-based services versus nursing home use posthospital discharge.

Little is known about how the extended care referral process-its structure and participants-influences Veterans' use of home and community-based services (HCBS) over nursing home care within the Veterans Health Administration (VHA). This study thus characterizes the extended care referral process within the VHA and its impact on HCBS versus nursing home use at hospital discharge. Data derive from 35 semistructured interviews at 12 Veterans Affairs Medical Centers (VAMCs). Findings indicate that the referral process is characterized by a commitment by care teams to consider HCBS if possible, varied practice depending on the clinician that most heavily influences care team recommendations, and care team emphasis on respecting Veteran/family preferences even when they are contrary to care team recommendations. Potential modifications include adopting systematic assessment practices; improving Veteran, family, and provider education; and promoting informed selection through shared decision making.

HCBS Spending and Nursing Home Admissions for 1915(c) Waiver Enrollees.

Medicaid waiver programs for home- and community-based services (HCBS) have grown rapidly and serve a population at high risk for nursing home (NH) admission. This study utilized the Medicaid Analytic Extract Personal Summary File and the NH Minimum Data Set and tested whether higher levels of per-beneficiary HCBS spending were associated with (1) lower risk of long-term (90+ days) NH admission and (2) higher functional/cognitive impairment at admission for new enrollees in 1915(c) aged or aged and disabled waiver programs. Waiver enrollees in states and counties with higher HCBS spending were found to have lower risk of long-term NH admission and greater functional impairment at NH admission compared to waiver enrollees in states and counties with lower spending. This indicates that higher per-enrollee HCBS spending may enable waiver enrollees to remain in the community until their functional impairment becomes more severe.