What is the additive value of nutritional deficiency to VA-FI in the risk assessment for heart failure patients?

OBJECTIVES: To assess the impact of adding the Prognostic Nutritional Index (PNI) to the U.S. Veterans Health Administration frailty index (VA-FI) for the prediction of time-to-death and other clinical outcomes in Veterans hospitalized with Heart Failure. METHODS: A retrospective cohort study of veterans hospitalized for heart failure (HF) from October 2015 to October 2018. Veterans ≥50 years with albumin and lymphocyte counts, needed to calculate the PNI, in the year prior to hospitalization were included. We defined malnutrition as PNI ≤43.6, based on the Youden index. VA-FI was calculated from the year prior to the hospitalization and identified three groups: robust (≤0.1), prefrail (0.1-0.2), and frail (>0.2). Malnutrition was added to the VA-FI (VA-FI-Nutrition) as a 32nd deficit with the total number of deficits divided by 32. Frailty levels used the same cut-offs as the VA-FI. We compared categories based on VA-FI to those based on VA-FI-Nutrition and estimated the hazard ratio (HR) for post-discharge all-cause mortality over the study period as the primary outcome and other adverse events as secondary outcomes among patients with reduced or preserved ejection fraction in each VA-FI and VA-FI-Nutrition frailty groups. RESULTS: We identified 37,601 Veterans hospitalized for HF (mean age: 73.4 ± 10.3 years, BMI: 31.3 ± 7.4 kg/m2). In general, VA-FI-Nutrition reclassified 1959 (18.6%) Veterans to a higher frailty level. The VA-FI identified 1,880 (5%) as robust, 8,644 (23%) as prefrail, and 27,077 (72%) as frail. The VA-FI-Nutrition reclassified 382 (20.3%) from robust to prefrail and 1577 (18.2%) from prefrail to frail creating the modified-prefrail and modified-frail categories based on the VA-FI-Nutrition. We observed shorter time-to-death among Veterans reclassified to a higher frailty status vs. those who remained in their original group (Median of 2.8 years (IQR:0.5,6.8) in modified-prefrail vs. 6.3 (IQR:1.8,6.8) years in robust, and 2.2 (IQR:0.7,5.7) years in modified-frail vs. 3.9 (IQR:1.4,6.8) years in prefrail). The adjusted HR in the reclassified groups was also significantly higher in the VA-FI-Nutrition frailty categories with a 38% increase in overall all-cause mortality among modified-prefrail and a 50% increase among modified-frails. Similar trends of increasing adverse events were also observed among reclassified groups for other clinical outcomes. CONCLUSION: Adding PNI to VA-FI provides a more accurate and comprehensive assessment among Veterans hospitalized for HF. Clinicians should consider adding a specific nutrition algorithm to automated frailty tools to improve the validity of risk prediction in patients hospitalized with HF.

Increase in blood pressure precedes distress behavior in nursing home residents with dementia.

BACKGROUND: Distress behaviors in dementia (DBD) likely increase sympathetic nervous system activity. The aim of this study was to examine the associations among DBD, blood pressure (BP), and intensity of antihypertensive treatment, in nursing home (NH) residents with dementia. METHODS: We identified long-stay Veterans Affairs NH residents with dementia in 2019-20 electronic health data. Each individual with a BP reading and a DBD incident according to a structured behavior note on a calendar day (DBD group) was compared with an individual with a BP reading but without a DBD incident on that same day (comparison group). In each group we calculated daily mean BP from 14 days before to 7 days after the DBD incident day. We then calculated the change in BP between the DBD incident day and, as baseline, the 7-day average of BP 1 week prior, and tested for differences between DBD and comparison groups in a generalized estimating equations multivariate model. RESULTS: The DBD and comparison groups consisted of 707 and 2328 individuals, respectively. The DBD group was older (74 vs. 72 y), was more likely to have severe cognitive impairment (13% vs. 8%), and had worse physical function scores (15 vs. 13 on 28-point scale). In the DBD group, mean systolic BP on the DBD incident day was 1.6 mmHg higher than baseline (p < .001), a change that was not observed in the comparison group. After adjusting for covariates, residents in the DBD group, but not the comparison group, had increased likelihood of having systolic BP > = 160 mmHg on DBD incident days (OR 1.02; 95%CI 1.00-1.03). Systolic BP in the DBD group began to rise 7 days before the DBD incident day and this rise persisted 1 week after. There were no significant changes in mean number of antihypertensive medications over this time period in either group. CONCLUSIONS: NH residents with dementia have higher BP when they experience DBD, and BP rises 7 days before the DBD incident. Clinicians should be aware of these findings when deciding intensity of BP treatment.

Financial Performance is Associated With PPE Shortages in Chain-Affiliated Nursing Homes During the COVID-19 Pandemic: A Longitudinal Study.

Many nursing homes operated at thin profit margins prior to the COVID-19 pandemic. This study examines the role of nursing homes' financial performance and chain affiliation in shortages of personal protection equipment (PPE) during the first year of the COVID-19 pandemic. We constructed a longitudinal file of 79 868 nursing home-week observations from 10 872 unique facilities. We found that a positive profit margin was associated with a 21.0% lower probability of reporting PPE shortages in chain-affiliated nursing homes, but not in non-chain nursing homes. Having adequate financial resources may help nursing homes address future emergencies, especially those affiliated with a multi-facility chain.

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.

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.

Measuring the unmet needs of American military Veterans and their caregivers: Survey protocol of the HERO CARE survey.

BACKGROUND: Empowering Veterans to age in place is a Department of Veterans Affairs priority. Family or unpaid caregivers play an important role in supporting Veterans to achieve this goal. Effectively meeting the needs of Veterans and caregivers requires identifying unmet needs and relevant gaps in resources to address those needs. METHODS: Using a modified Socio-Ecological Model, we developed a prospective longitudinal panel design survey. We randomly selected 20,000 community-dwelling Veterans enrolled in the Veterans Health Administration (VHA), across five VHA sites. We oversampled Veterans with a higher predicted 2-year long-term institutional care (LTIC) risk. Veterans were mailed a packet containing a Veteran survey and a caregiver survey, to be answered by their caregiver if they had one. The Veteran survey assessed the following health-related domains: physical, mental, social determinants of health, and caregiver assistance. Caregivers completed questions regarding their demographic factors, caregiving activities, impact of caregiving, use of VA and non-VA services, and caregiver support resources. Follow-up surveys will be repeated twice at 12-month intervals for the same respondents. This article describes the HERO CARE survey protocol, content, and response rates. RESULTS: We received responses from 8,056 Veterans and 3,579 caregivers between July 2021 and January 2022, with 95.6% being received via mail. Veteran respondents were mostly males (96.5%), over 65 years of age (94.9%), married (55.0%), Non-Hispanic White (75.2%), and residing in urban areas (80.7%). CONCLUSIONS: This longitudinal survey is unique in its comprehensive assessment of domains relevant to older Veterans stratified by LTIC risk and their caregivers, focusing on social determinants, caregiver support, and the use of caregiver support resources. Survey data will be linked to Centers for Medicare & Medicaid Services and VA data. The results of this study will inform better planning of non-institutional care services and policy for Veterans and their caregivers.

Comparison of Claims-Based Frailty Indices in U.S. Veterans 65 and Older for Prediction of Long-Term Institutionalization and Mortality.

BACKGROUND: Frailty is increasingly recognized as a useful measure of vulnerability in older adults. Multiple claims-based frailty indices (CFIs) can readily identify individuals with frailty, but whether 1 CFI improves prediction over another is unknown. We sought to assess the ability of 5 distinct CFIs to predict long-term institutionalization (LTI) and mortality in older Veterans. METHODS: Retrospective study conducted in U.S. Veterans ≥65 years without prior LTI or hospice use in 2014. Five CFIs were compared: Kim, Orkaby (Veteran Affairs Frailty Index [VAFI]), Segal, Figueroa, and the JEN-FI, grounded in different theories of frailty: Rockwood cumulative deficit (Kim and VAFI), Fried physical phenotype (Segal), or expert opinion (Figueroa and JFI). The prevalence of frailty according to each CFI was compared. CFI performance for the coprimary outcomes of any LTI or mortality from 2015 to 2017 was examined. Because Segal and Kim include age, sex, or prior utilization, these variables were added to regression models to compare all 5 CFIs. Logistic regression was used to calculate model discrimination and calibration for both outcomes. RESULTS: A total of 3 million Veterans were included (mean age 75, 98% male participants, 80% White, and 9% Black). Frailty was identified for between 6.8% and 25.7% of the cohort with 2.6% identified as frail by all 5 CFIs. There was no meaningful difference between CFIs in the area under the receiver operating characteristic curve for LTI (0.78-0.80) or mortality (0.77-0.79). CONCLUSIONS: Based on different frailty constructs, and identifying different subsets of the population, all 5 CFIs similarly predicted LTI or death, suggesting each could be used for prediction or analytics.

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.

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.

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.

Peer-to-Patient-Aligned Care Team (Peer-to-PACT; P2P), a Peer-Led Home Visit Intervention Program for Targeting and Improving Long-term Care Services and Support for Veterans With High Needs and High Risk: Protocol for a Mixed Methods Feasibility Study.

BACKGROUND: Keeping older veterans with high needs and high risk (HNHR) who are at risk of long-term institutional care safely in their homes for as long as possible is a Department of Veterans Affairs priority. Older veterans with HNHR face disproportionate barriers and disparities to engaging in their care, including accessing care and services. Veterans with HNHR often have poor ability to maintain health owing to complicated unmet health and social needs. The use of peer support specialists (peers) is a promising approach to improving patient engagement and addressing unmet needs. The Peer-to-Patient-Aligned Care Team (Peer-to-PACT; P2P) intervention is a multicomponential home visit intervention designed to support older veterans with HNHR to age in place. Participants receive a peer-led home visit to identify unmet needs and home safety risks aligned with the age-friendly health system model; care coordination, health care system navigation, and linking to needed services and resources in collaboration with their PACT; and patient empowerment and coaching using Department of Veterans Affairs whole health principles. OBJECTIVE: The primary aim of this study is to evaluate the preliminary effect of the P2P intervention on patient health care engagement. The second aim is to identify the number and types of needs and unmet needs as well as needs addressed using the P2P needs identification tool. The third aim is to evaluate the feasibility and acceptability of the P2P intervention delivered over 6 months. METHODS: We will use a quantitative-qualitative convergent mixed methods approach to evaluate the P2P intervention outcomes. For our primary outcome, we will conduct an independent, 2-tailed, 2-sample t test to compare the means of the 6-month pre-post differences in the number of outpatient PACT encounters between the intervention and matched comparison groups. Qualitative data analysis will follow a structured rapid approach using deductive coding as well as the Consolidated Framework for Implementation Research. RESULTS: Study enrollment began in July 2020 and was completed in March 2022. Our sample size consists of 114 veterans: 38 (33.3%) P2P intervention participants and 76 (66.7%) matched comparison group participants. Study findings are expected to be published in late 2023. CONCLUSIONS: Peers may help bridge the gap between PACT providers and veterans with HNHR by evaluating veterans' needs outside of the clinic, summarizing identified unmet needs, and developing team-based solutions in partnership with the PACT. The home visit component of the intervention provides eyes in the home and may be a promising and innovative tool to improve patient engagement. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/46156.

Trends in Risk-Adjusted Initiation and Reduction of Opioid Use among Veterans With Dementia in US Department of Veterans Affairs Community Living Centers.

OBJECTIVE: Proper initiation and reduction of opioids is important in providing effective and safe pain relief to Veterans with dementia, including in Community Living Centers (CLCs). We examined the trends in aggregated monthly risk-adjusted opioid administration days and dosage over 3 opioid safety regulatory periods: pre-Opioid Safety Initiative period (October 1, 2012-June 30, 2013; period 1), pre-CDC Clinical Practice Guideline period (January 1, 2014-November 30, 2015, period 2) and post-Veterans Affairs Clinical Practice Guideline period (March 1, 2017-September 30, 2018; period 3). DESIGN: A retrospective study between October 1, 2012, and September 30, 2018. SETTINGS AND PARTICIPANTS: 4995 long-stay CLC residents with dementia who had incident (incident cohort, n = 2609) or continued (continued opioid cohort, n = 2386) opioid administration in CLCs. METHODS: CLC Minimum Data Set (MDS) assessments data and bar-code medication administration data were used. Opioid initiation was examined for incident opioid cohort and reduction was examined using continued opioid cohort. We first computed aggregated monthly risk-adjusted opioid administration days, opioid with benzodiazepine administration days and opioid dosage, and then examined risk-adjusted incident and continued opioid administration trends over the regulatory periods controlling for facility-level characteristics. RESULTS: Among the incident opioid cohort, compared to period 1, there were 1.9 and 2.1 fewer risk-adjusted opioid administration days per month in periods 2 and 3, respectively; 1.5 fewer risk-adjusted days per month with opioid and benzodiazepine administration in both periods 2 and 3; and 2.2 and 3.7 morphine milligrams equivalent per day (MMED) lower risk-adjusted dosage in periods 2 and 3, respectively. Among the continued opioid cohort, compared to period 1, there were 1.6 and 2.9 fewer risk-adjusted days with opioid and benzodiazepine administration days per month in periods 2 and 3, respectively, and 5.3 MMED lower risk-adjusted dosage per month in period 3. CONCLUSIONS AND IMPLICATIONS: CLC providers initiated and reduced opioid administration in fewer days and at lower dosage among Veterans with dementia across the regulatory periods. The result was likely due to systemic efforts from health care professionals, CLC administrators, and policy makers or VA central office, aiming to reduce opioid misuse and improve quality of care in nursing home residents with dementia. What is still unknown is whether pain was well controlled or nonpharmacologic treatments were utilized.

Developing a Parsimonious Frailty Index for Older, Multimorbid Adults With Heart Failure Using Machine Learning.

Frailty is associated with adverse outcomes in heart failure (HF). A parsimonious frailty index (FI) that predicts outcomes of older, multimorbid patients with HF could be a useful resource for clinicians. A retrospective study of veterans hospitalized from October 2015 to October 2018 with HF, aged ≥50 years, and discharged home developed a 10-item parsimonious FI using machine learning from diagnostic codes, laboratory results, vital signs, and ejection fraction (EF) from outpatient encounters. An unsupervised clustering technique identified 5 FI strata: severely frail, moderately frail, mildly frail, prefrail, and robust. We report hazard ratios (HRs) of mortality, adjusting for age, gender, race, and EF and odds ratios (ORs) for 30-day and 1-year emergency department visits and all-cause hospitalizations after discharge. We identified 37,431 veterans (age, 73 ± 10 years; co-morbidity index, 5 ± 3; 43.5% with EF ≤40%). All frailty groups had a higher mortality than the robust group: severely frail (HR 2.63, 95% confidence interval [CI] 2.42 to 2.86), moderately frail (HR 2.04, 95% CI 1.87 to 2.22), mildly frail (HR 1.60, 95% CI 1.47 to 1.74), and prefrail (HR 1.18, 95% CI: 1.07 to 1.29). The associations between frailty and mortality remained unchanged in the stratified analysis by age or EF. The combined (severely, moderately, and mildly) frail group had higher odds of 30-day emergency visits (OR 1.62, 95% CI 1.43 to 1.83), all-cause readmission (OR, 1.75, 95% CI 1.52 to 2.02), 1-year emergency visits (OR 1.70, 95% CI 1.53 to 1.89), rehospitalization (OR 2.18, 95% CI 1.97 to 2.41) than the robust group. In conclusion, a 10-item FI is associated with postdischarge outcomes among patients discharged home after a hospitalization for HF. A parsimonious FI may aid clinical prediction at the point of care.

Hospital In Home: Evaluating Need and Readiness for Implementation (HENRI) in the Department of Veterans Affairs: protocol for a mixed-methods evaluation and participatory implementation planning study.

BACKGROUND AND OBJECTIVES: The Department of Veterans Affairs (VA) Hospital-In-Home (HIH) program delivers patient-centered, acute-level hospital care at home. Compared to inpatient care, HIH has demonstrated improved patient safety, effectiveness, and patient and caregiver satisfaction. The VA Office of Geriatrics & Extended Care (GEC) has supported the development of 12 HIH program sites nationally, yet adoption in VA remains modest, and questions remain regarding optimal implementation practices to extend reach and adaptability of this innovation. Guided by theoretical and procedural implementation science frameworks, this study aims to systematically gather evidence from the 12 HIH programs and to develop a participatory approach to engage stakeholders, assess readiness, and develop/adapt implementation strategies and evaluation metrics. RESEARCH DESIGN AND METHODS: We propose a multi-phase concurrent triangulation design comprising of (1) qualitative interviews with key informants and document review, (2) quantitative evaluation of effectiveness outcomes, and (3) mixed-methods synthesis and adaptation of a Reach Effectiveness Adoption Implementation Maintenance (RE-AIM)-guided conceptual framework. RESULTS: The prospective phase will involve a participatory process of identifying stakeholders (leadership, HIH staff, veterans, and caregivers), engaging in planning meetings informed by implementation mapping, and developing implementation logic models and blueprints. The process will be assessed using a mixed-methods approach through participant observation and document review. DISCUSSION AND IMPLICATION: This study will support the continued spread of HIH programs, generate a catalog of HIH implementation evidence, and create implementation tools and infrastructure for future HIH development. The multi-phase nature of informing prospective planning with retrospective analysis is consistent with the Learning Health System framework.

Hospitals serving nursing home residents disproportionately penalized under hospital readmissions reduction program.

BACKGROUND: Risk factors common to nursing home (NH) residents are potentially not fully captured by the Hospital Readmissions Reduction Program (HRRP). The unique challenges faced by hospitals that disproportionately serve NH residents who are at greater risk of readmissions have not been studied. METHODS: Using 100% Medicare Provider Analysis and Review File and the Minimum Data Set from 2010-2013, we constructed a measure of hospital share of NH-originating hospitalizations (NOHs). We defined hospital share of NOHs as the proportion of inpatient stays by patients aged 65 or older who were directly admitted from NHs. To evaluate the impact of the share of NOHs on readmission penalties, we categorized hospitals into quartiles according to their share of NOHs and estimated the differences in the adjusted penalties across hospital quartiles after accounting for hospital characteristics, market characteristics and state fixed effects. We repeated the analyses for the penalties incurred in each year between 2015 and 2019. RESULTS: Hospitals varied substantially in the share of NOHs (median [interquartile range], 11.3% [8.2%-15.1%]), with limited variation over time. In 2015, hospitals in the highest quartile of NOH received on average 0.58% Medicare payment reduction compared to 0.44% reduction among those in the lowest quartile (32.9% higher penalties, p < 0.001). The increase in penalties continued to grow in 2017 and 2018 when the HRRP expanded to include additional target conditions (47.3% and 66.7%, respectively, p < 0.001 for both). Although the effect diminished in 2019 following the additional adjustment for hospital's dual-eligible share, hospitals in the highest quartile of NOH still incurred 43.0% (p < 0.001) higher penalties than those in the lowest quartile. CONCLUSIONS: Hospitals varied considerably in their share of NOHs. Hospitals having a higher share of NOHs were disproportionately penalized for excess readmissions, even under the revised policy that adjusts for the share of dual-eligible admissions.

Opioid administration trends among long-stay community living centers residents with dementia.

BACKGROUND: Pain assessment and management of Veterans with Alzheimer's disease and Related Dementia (ADRD) living in Community Living Centers (CLCs) is challenging. Safe and effective use of opioids in the treatment of pain is of great concern to patients and providers promulgating national policies and guidelines. METHODS: This study examined long-stay CLC Veterans with ADRD identified in three regulatory periods (period 1: 10/2012-6/2013, n = 3347; period 2: 1/2014-11/2015, n = 4426; period 3: 1/2017-9/2018, n = 4444; Total N = 12,217).This population-based observational study used CLC Minimum Data Set (MDS) data in Fiscal Years (FYs) 2013-2018 and VA bar-code medication administration (BCMA) data. Opioid administration measures included: any opioids, long-term opioids, high-dose opioids, and co-administration with benzodiazepine. Measures were modeled using negative binomial regression with length of stay in CLC as offset adjusting for Veteran predisposing, enabling and need measures from the MDS. RESULTS: Compared to period 1, any opioid administration was 26% lower in period 2, and 34% lower in period 3. Among Veterans who received any opioid medications over the three regulatory periods, high-dose and long-term opioid administration were more than 40% lower in periods 2 and 3 compared to period 1. Co-administration of opioid with benzodiazepine versus no opioid was 11% lower in period 2 and 34% lower in period 3 after adjusting for patient level covariates. CONCLUSIONS: All patterns of opioid administration decreased over the four opioid regulations periods when guidelines were promulgated across the VA health system. Further research should clarify whether decreasing opioids among patients with ADRD impacted health outcomes.

Continuity of Care and Successful Hospital Discharge of Older Veterans With Dementia.

BACKGROUND: Care transitions are frequent among patients with dementia. This study aimed to estimate the impact of continuity of care (COC) on successful community discharge after hospitalization. METHODS: National Veterans Health Administration data linked to Medicare claims in fiscal years 2014-2015. Community-dwelling older veterans with dementia with an acute hospitalization were included (n = 31,648). COC was measured by the Bice-Boxerman Continuity of Care (BBC) index (0-1). Association of COC before hospitalization on successful community discharge was examined separately among veterans discharged to the community directly and through post-acute care facilities. RESULTS: Veterans with a 0.1 higher BBC were 4.6% (p = .06) more likely to have successful direct community discharge; but BBC had no demonstrable effect when discharge was through post-acute care facilities. CONCLUSION: Better COC may have impact at improving successful direct community discharge, although the effect is small and the type I error rate (statistical significance) was 6%.

Impact of STAR-VA on Staff Injury and Disruptive Behavior Reports in VA Nursing Homes.

OBJECTIVES: Workplace disruptive behavior incidents can be costly for organizations, employees, and customers. Persons with dementia living in long-term care settings have a high risk of exhibiting distressed behaviors. We examined whether a resident-centered, behavioral intervention for residents with dementia led to a reduction in reported workplace disruptive behaviors and staff injury rate due to assault. Impactful interventions are important for quality of care. DESIGN: We examined whether a team-based behavioral program in community living centers (CLCs), where a nurse champion and behavioral coordinator were trained to work with the clinical team to understand and manage distressed behaviors commonly associated with dementia, was associated with reductions in behavior incidents. SETTING AND PARTICIPANTS: The setting was Veterans Health Administration CLCs. The sample consisted of 120 aggregated CLCs operating between 2012 and 2017 with 62 completing training. CLCs were distributed across the United States. METHODS: Outcomes included CLC-level rates of staff injury and number of workplace disruptive behavior incidents. Outcomes were regressed on measures of intervention completion, time since intervention, and several CLC characteristics. RESULTS: The intervention was significantly associated with lower incidence of assault with staff injury rates overall, particularly following the first year of training, but not with other reported workplace disruptive behavior incident rates. CONCLUSIONS AND IMPLICATIONS: A team-based behavioral intervention was associated with reduction of employee assaults, a critical repercussion of distressed behavior in dementia. Given rapid growth in patients with dementia in nursing homes, effective treatment practices, such as interdisciplinary behavioral management approaches may be impactful and valuable to implement.

Changing landscape of nursing homes serving residents with dementia and mental illnesses.

OBJECTIVE: Nursing homes (NHs) are serving an increasing proportion of residents with cognitive issues (e.g., dementia) and mental health conditions. This study aims to: (1) implement unsupervised machine learning to cluster NHs based on residents' dementia and mental health conditions; (2) examine NH staffing related to the clusters; and (3) investigate the association of staffing and NH quality (measured by the number of deficiencies and deficiency scores) in each cluster. DATA SOURCES: 2009-2017 Certification and Survey Provider Enhanced Reporting (CASPER) were merged with LTCFocUS.org data on NHs in the United States. STUDY DESIGN: Unsupervised machine learning algorithm (K-means) clustered NHs based on percent residents with dementia, depression, and serious mental illness (SMI, e.g., schizophrenia, anxiety). Panel fixed-effects regressions on deficiency outcomes with staffing-cluster interactions were conducted to examine the effects of staffing on deficiency outcomes in each cluster. DATA EXTRACTION METHODS: We identified 110,463 NH-year observations from 14,671 unique NHs using CASPER data. PRINCIPAL FINDINGS: Three clusters were identified: low dementia and mental illnesses (Postacute Cluster); high dementia and depression, but low SMI (Long-stay Cluster); and high dementia and mental illnesses (Cognitive-mental Cluster). From 2009 to 2017, the number of Postacute Cluster NHs increased from 3074 to 5719, while the number of Long-stay Cluster NHs decreased from 6745 to 3058. NHs in Long-stay/Cognitive-mental Clusters reported slightly lower nursing staff hours in 2017. Regressions suggested the effect of increasing staffing on reducing deficiencies is statistically similar across NH clusters. For example, 1 hour increase in registered nurse hours per resident day was associated with -0.67 (standard error [SE] = 0.11), -0.88 (SE = 0.12), and -0.97 (SE = 0.15) deficiencies in Postacute Cluster, Long-stay Cluster, and Cognitive-mental Cluster, respectively. CONCLUSIONS: Unsupervised machine learning detected a changing landscape of NH serving residents with dementia and mental illnesses, which requires assuring staffing levels and trainings are suited to residents' needs.

Decomposing Differences in Risk-Adjusted Rates of Emergency Department Visits Between Micropolitan and Urban Nursing Homes.

OBJECTIVES: Nursing homes (NHs) in micropolitan areas are reported to have different facility and market factors than urban NHs, but how these factors contribute to differences in emergency department (ED) visits remains unknown. This study examined and quantified sources of micropolitan-urban differences in NH risk-adjusted rates of any ED visit, ED without hospitalization or observation stay (outpatient ED), and potentially avoidable ED (PAED) visits of long-stay residents. DESIGN: The 2011-2013 national Medicare claims and NH Minimum Data Set (MDS) 3.0 were analyzed. We implemented generalized estimating equation models to examine micropolitan-urban differences in ED rates and Blinder-Oaxaca decompositions to quantify the contributions of NH and market factors. SETTING AND PARTICIPANTS: The study cohort included 12,883 unique privately owned, freestanding NHs from urban and micropolitan areas. MEASURES: Quarterly risk-adjusted rates of any ED visits, outpatient ED visits, and PAED visits were calculated from Medicare claims and MDS. NH and market characteristics were extracted from the Certification And Survey Provider Enhanced Reporting and Area Health Resources File. RESULTS: Over the study period, risk-adjusted rates averaged 10.2%, 3.4%, and 3.3% for any ED, outpatient ED, and PAED visits, respectively. Compared with urban NHs, micropolitan NHs reported similar rates of any ED, but significantly higher rates of outpatient ED and PAED (ß = 0.20% and 0.27%; both P < .05). Observable differences in NH characteristics (eg, number of beds, percentage Medicare or Medicaid residents, and employment of nurse practitioners and physician assistants) explained more than 20% of the micropolitan-urban differences in rates of outpatient ED and PAED visits; market factors (mainly Medicare Advantage penetration) explained about 46% of the differences in rates of outpatient ED visits. CONCLUSIONS AND IMPLICATIONS: Compared with urban NHs, micropolitan NHs tend to utilize more avoidable emergency care that can be partially explained by facility size, payer mix, use of nurse practitioners and physician assistants, and market structure.