Opportunities to Improve End-of-Life Care Quality among Patients with Short Terminal Admissions.

BACKGROUND: Little is known about Veterans who die during a short terminal admission, which renders them ineligible for the Department of Veterans Affairs (VA) Bereaved Family Survey. We sought to describe this population and identify opportunities to improve end-of-life (EOL) care quality. METHODS: Retrospective, cohort analysis of Veteran decedents who died in a VA inpatient setting between October 2018-September 2019. Veterans were dichotomized by short (<24 hours) and long (≥24 hours) terminal admissions; sociodemographics, clinical characteristics, VA and non-VA healthcare use, and EOL care quality indicators were compared. RESULTS: Among 17,033 inpatient decedents, 723 (4%) had short terminal admissions. Patients with short compared to long terminal admissions were less likely to have a VA hospitalization (38% vs. 54%) in the last 90 days of life and were more likely to die in an intensive care (49% vs 21%) or acute care (27% vs 18%) unit. Patients with a short compared to long admission were about half as likely to receive hospice (33% vs 64%) or palliative care (33% vs 69%). Most patients with short admissions (76%) had a life-limiting condition (e.g., cancer, chronic obstructive pulmonary disease) and those with cancer were more likely to receive palliative care compared to those with non-cancer conditions. CONCLUSIONS: Veterans with short terminal admissions are less likely to receive hospice or palliative care compared to patients with long terminal admissions. Many patients with short terminal admissions, such as those with life-limiting conditions (especially cancer), receive aspects of high-quality EOL care, however, opportunities for improvement exist.

The impact of dual VA-Medicare use on a data-driven clinical management tool for older Veterans with multimorbidity.

BACKGROUND: Healthcare systems are increasingly turning to data-driven approaches, such as clustering techniques, to inform interventions for medically complex older adults. However, patients seeking care in multiple healthcare systems may have missing diagnoses across systems, leading to misclassification of resulting groups. We evaluated the impact of multi-system use on the accuracy and composition of multimorbidity groups among older adults in the Veterans Health Administration (VA). METHODS: Eligible patients were VA primary care users aged ≥65 years and in the top decile of predicted 1-year hospitalization risk in 2018 (n = 558,864). Diagnoses of 26 chronic conditions were coded using a 24-month lookback period and input into latent class analysis (LCA) models. In a random 10% sample (n = 56,008), we compared the resulting model fit, class profiles, and patient assignments from models using only VA system data versus VA with Medicare data. RESULTS: LCA identified six patient comorbidity groups using VA system data. We labeled groups based on diagnoses with higher within-group prevalence relative to the average: Substance Use Disorders (7% of patients), Mental Health (15%), Heart Disease (22%), Diabetes (16%), Tumor (14%), and High Complexity (10%). VA with Medicare data showed improved model fit and assigned more patients with high accuracy. Over 70% of patients assigned to the Substance, Mental Health, High Complexity, and Tumor groups using VA data were assigned to the same group in VA with Medicare data. However, 41.9% of the Heart Disease group and 14.7% of the Diabetes group were reassigned to a new group characterized by multiple cardiometabolic conditions. CONCLUSIONS: The addition of Medicare data to VA data for older high-risk adults improved clustering model accuracy and altered the clinical profiles of groups. Accessing or accounting for multi-system data is key to the success of interventions based on empiric grouping in populations with dual-system use.

Use of high cost care among Veterans with comorbid mental illness and Alzheimer's Disease and related dementias.

INTRODUCTION/OBJECTIVE: Alzheimer's Disease and Other Related Dementias (AD/ADRD) leads to frequent emergency department (ED) and inpatient use. Mental health symptoms among persons with AD/ADRD increases cognitive and functional disabilities and could contribute to these high rates of intensive health care use. The objective of this paper is to assess the relationship of mental illness on 12-month patterns in hospitalization and ED use among Veterans aged 65 and over with a new AD/ADRD diagnosis. METHODS: We used an existing dataset of administrative electronic health record data of Veterans with AD/ADRD from the US Veterans Health Administration linked with Medicare claims data from 2011-2015. We use multivariable logistic regression to examine the association between no pre-existing mental illness, pre-existing mental illness (e.g., major depressive disorder, generalized anxiety disorder, or post-traumatic stress disorder), and pre-existing severe mental illness-or SMI-(e.g., bipolar disorder, major depressive disorder with psychosis, or schizophrenia) and 12- month ED and hospitalization use and readmissions among Veterans who had an initial hospitalization visit. We estimated predicted probabilities, differential effect, and associated 95% confidence intervals. RESULTS: In our sample, 1.4% had SMI and 11% had non-SMI mental illness. The unadjusted percentage with inpatient and ED use was higher among Veterans with SMI (34% and 26%, respectively) and Veterans with non-SMI mental illness (20%, 16%) compared with Veterans without pre-existing mental illness (12%, 9%). Compared to individuals with no pre-existing mental illness, having a pre-existing mental illness (1.27 percentage points, 95% CI: 0.76, 1.78) and a pre-existing SMI (7.17 percentage points, 95% CI: 5.66, 8.69) were both associated with an increased likelihood of ED use. The same pattern was observed for any inpatient use (mental illness 2.18, 95% CI: 1.59, 2.77; SMI 9.91, 95% CI: 8.21, 11.61). Only pre-existing SMI was associated higher hospitalization readmission. DISCUSSION: Pre-existing mental illness increases use of high cost, intensive health care and this association is higher of more severe mental health conditions. We also show that pre-existing mental illness exerts a unique influence, above and beyond other comorbidities, such as diabetes, on ED and inpatient visits. More needs to be done to increase recognition of the unique risks of this combination of health conditions and encourage strategies to address them. Developing, testing, and implementing comprehensive strategies that address the intersection of ADRD and mental illness is promising approach that requires more focused attention.

Effect of Deintensifying Diabetes Medications on Negative Events in Older Veteran Nursing Home Residents.

OBJECTIVE: Guidelines advocate against tight glycemic control in older nursing home (NH) residents with advanced dementia (AD) or limited life expectancy (LLE). We evaluated the effect of deintensifying diabetes medications with regard to all-cause emergency department (ED) visits, hospitalizations, and death in NH residents with LLE/AD and tight glycemic control. RESEARCH DESIGN AND METHODS: We conducted a national retrospective cohort study of 2,082 newly admitted nonhospice veteran NH residents with LLE/AD potentially overtreated for diabetes (HbA1c ≤7.5% and one or more diabetes medications) in fiscal years 2009-2015. Diabetes treatment deintensification (dose decrease or discontinuation of a noninsulin agent or stopping insulin sustained ≥7 days) was identified within 30 days after HbA1c measurement. To adjust for confounding, we used entropy weights to balance covariates between NH residents who deintensified versus continued medications. We used the Aalen-Johansen estimator to calculate the 60-day cumulative incidence and risk ratios (RRs) for ED or hospital visits and deaths. RESULTS: Diabetes medications were deintensified for 27% of residents. In the subsequent 60 days, 28.5% of all residents were transferred to the ED or acute hospital setting for any cause and 3.9% died. After entropy weighting, deintensifying was not associated with 60-day all-cause ED visits or hospitalizations (RR 0.99 [95% CI 0.84, 1.18]) or 60-day mortality (1.52 [0.89, 2.81]). CONCLUSIONS: Among NH residents with LLE/AD who may be inappropriately overtreated with tight glycemic control, deintensification of diabetes medications was not associated with increased risk of 60-day all-cause ED visits, hospitalization, or death.

Palliative Care and Documented Suicide: Association Among Veterans With High Mortality Risk.

CONTEXT: Palliative care consultations (PCCs) are associated with reduced physical and psychological symptoms that are related to suicide risk. Little is known, however, about the association between PCCs and death from suicide among patients at high risk of short-term mortality. OBJECTIVE: To examine the association between the number of PCCs and documentation of suicide in a cohort of Veterans at high risk of short-term mortality, before and after accounting for Veterans' sociodemographic characteristics and clinical conditions. METHODS: An observational cohort study was conducted using linked Veterans Affairs clinical and administrative databases for 580,620 decedents with high risk of one-year mortality. Logistic regression models were used to examine the association between number of PCCs and documentation of suicide. RESULTS: Higher percentages of Veterans who died by suicide were diagnosed with chronic pulmonary disease as well as mental health/substance use conditions compared with Veterans who died from other causes. In adjusted models, one PCC in the 90 days prior to death was significantly associated with a 71% decrease in the odds of suicide (OR = 0.29, 95% CI = 0.23-0.37, P < 0.001) and two or more PCCs were associated with a 78% decrease (OR = 0.22, 95% CI = 0.15-0.33, P < 0.001). Associated "number needed to be exposed" estimates suggest that 421 Veterans in this population would need to receive at least one PCC to prevent one suicide. CONCLUSION: While acknowledging the importance of specialized mental health care in reducing suicide among high-risk patients, interventions delivered in the context of PCCs may also play a role.

Care processes and racial/ethnic differences in family reports of end-of-life care among Veterans: A mediation analysis.

BACKGROUND: Bereaved family members of racial/ethnic minority Veterans are less likely than families of White Veterans to provide favorable overall ratings of end-of-life (EOL) care quality; however, the underlying mechanisms for these differences have not been explored. The objective of this study was to examine whether a set of EOL care process measures mediated the association between Veteran race/ethnicity and bereaved families' overall rating of the quality of EOL care in VA medical centers (VAMCs). METHODS: A retrospective, cross-sectional analysis of linked Bereaved Family Survey (BFS), administrative and clinical data was conducted. The sample included 17,911 Veterans (mean age: 73.7; SD: 11.6) who died on an acute or intensive care unit across 121 VAMCs between October 2010 and September 2015. Mediation analyses were used to assess whether five care processes (potentially burdensome transitions, high-intensity EOL treatment, and the BFS factors of Care and Communication, Emotional and Spiritual Support, and Death Benefits) significantly affected the association between Veteran race/ethnicity and a poor/fair BFS overall rating. RESULTS: Potentially burdensome transitions, high-intensity EOL treatment, and the three BFS factors of Care and Communication, Emotional and Spiritual Support, and Death Benefits did not substantially mediate the relationship between Veteran race/ethnicity and poor/fair overall ratings of quality of EOL care by bereaved family members. CONCLUSIONS: The reasons underlying poorer ratings of quality of EOL care among bereaved family members of racial/ethnic minority Veterans remain largely unexplained. More research on identifying potential mechanisms, including experiences of racism, and the unique EOL care needs of racial and ethnic minority Veterans and their families is warranted.

Caregiver and provider perspectives on dual VA and Medicare Part D medication use in veterans with suspected dementia or cognitive impairment.

PURPOSE: Many older veterans with dementia fill prescriptions through both Veterans Affairs (VA) and Medicare Part D benefits. Dual VA/Part D medication use may have unintended negative consequences in terms of prescribing safety and quality. We aimed to characterize benefits and drawbacks of dual VA/Part D medication use in veterans with dementia or cognitive impairment from the perspectives of caregivers and providers. METHODS: This was a qualitative study based on semistructured telephone interviews of 2 groups: (1) informal caregivers accompanying veterans with suspected dementia or cognitive impairment to visits at a VA Geriatric Evaluation and Management clinic (n = 11) and (2) VA healthcare providers of veterans with dementia who obtained medications via VA and Part D (n = 12). We conducted semistructured telephone interviews with caregivers and providers about benefits and drawbacks of dual VA/Part D medication use. Interview transcripts were subjected to qualitative content analysis to identify key themes. RESULTS: Caregivers and providers both described cost and convenience benefits to dual VA/Part D medication use. Caregivers reported drawbacks including poor communication between VA and non-VA providers and difficulty managing medications from multiple systems. Providers reported potential safety risks including communication barriers, conflicting care decisions, and drug interactions. CONCLUSION: Results of this study allow for understanding of potential policy interventions to better manage dual VA/Part D medication use for older veterans with dementia or cognitive impairment at a time when VA is expanding access to non-VA care.

End-Of-Life Care in the Time of COVID-19: Communication Matters More Than Ever.

CONTEXT: The COVID-19 pandemic resulted in visitation restrictions across most health care settings, necessitating the use of remote communication to facilitate communication among families, patients and health care teams. OBJECTIVE: To examine the impact of remote communication on families' evaluation of end-of-life care during the COVID-19 pandemic. METHODS: Retrospective, cross-sectional, mixed methods study using data from an after-death survey administered from March 17-June 30, 2020. The primary outcome was the next of kin's global assessment of care during the Veteran's last month of life. RESULTS: Data were obtained from the next-of-kin of 328 Veterans who died in an inpatient unit (i.e., acute care, intensive care, nursing home, hospice units) in one of 37 VA medical centers with the highest numbers of COVID-19 cases. The adjusted percentage of bereaved families reporting excellent overall end-of-life care was statistically significantly higher among those reporting Very Effective remote communication compared to those reporting that remote communication was Mostly, Somewhat, or Not at All Effective (69.5% vs. 35.7%). Similar differences were observed in evaluations of remote communication effectiveness with the health care team. Overall, 81.3% of family members who offered positive comments about communication with either the Veteran or the health care team reported excellent overall end-of-life care vs. 28.4% who made negative comments. CONCLUSIONS: Effective remote communication with the patient and the health care team was associated with significantly better ratings of the overall experience of end-of-life care by bereaved family members. Our findings offer timely insights into the importance of remote communication strategies.

Antihypertensive Deprescribing in Older Adult Veterans at End of Life Admitted to Veteran Affairs Nursing Homes.

OBJECTIVES: Geriatric palliative care approaches support deprescribing of antihypertensives in older nursing home (NH) residents with limited life expectancy and/or advanced dementia (LLE/AD) who are intensely treated for hypertension (HTN), but information on real-world deprescribing patterns in this population is limited. We examined the incidence and factors associated with antihypertensive deprescribing. DESIGN: National, retrospective cohort study. SETTING AND PARTICIPANTS: Older Veterans with LLE/AD and HTN admitted to VA NHs in fiscal years 2009-2015 with potential overtreatment of HTN at admission, defined as receiving at least 1 antihypertensive class of medications and mean daily systolic blood pressure (SBP) <120 mm Hg. MEASURES: Deprescribing was defined as subsequent dose reduction or discontinuation of an antihypertensive for ≥7 days. Competing risk models assessed cumulative incidence and factors associated with deprescribing. RESULTS: Within our sample (n = 10,574), cumulative incidence of deprescribing at 30 days was 41%. Veterans with the greatest level of overtreatment (ie, multiple antihypertensives and SBP <100 mm Hg) had an increased likelihood (hazard ratio 1.75, 95% confidence interval 1.59, 1.93) of deprescribing vs those with the lowest level of overtreatment (ie, one antihypertensive and SBP ≥100 to <120 mm Hg). Several markers of poor prognosis (ie, recent weight loss, poor appetite, dehydration, dependence for activities of daily living, pain) and later admission year were associated with increased likelihood of deprescribing, whereas cardiovascular risk factors (ie, diabetes, congestive heart failure, obesity), shortness of breath, and admission source from another NH or home/assisted living setting (vs acute hospital) were associated with decreased likelihood. CONCLUSIONS AND IMPLICATIONS: Real-world deprescribing patterns of antihypertensives among NH residents with HTN and LLE/AD appear to reflect variation in recommendations for HTN treatment intensity and individualization of patient care in a population with potential overtreatment. Factors facilitating deprescribing included treatment intensity and markers of poor prognosis. Comparative effectiveness and safety studies are needed to guide clinical decisions around deprescribing and HTN management.

Evaluation of Low-Value Diagnostic Testing for 4 Common Conditions in the Veterans Health Administration.

Importance: Low-value care is associated with harm among patients and with wasteful health care spending but has not been well characterized in the Veterans Health Administration. Objectives: To characterize the frequency of and variation in low-value diagnostic testing for 4 common conditions at Veterans Affairs medical centers (VAMCs) and to examine the correlation between receipt of low-value testing for each condition. Design, Setting, and Participants: This retrospective cohort study used Veterans Health Administration data from 127 VAMCs from fiscal years 2014 to 2015. Data were analyzed from April 2018 to March 2020. Exposures: Continuous enrollment in Veterans Health Administration during fiscal year 2015. Main Outcomes and Measures: Receipt of low-value testing for low back pain, headache, syncope, and sinusitis. For each condition, sensitive and specific criteria were used to evaluate the overall frequency and range of low-value testing, adjusting for sociodemographic and VAMC characteristics. VAMC-level variation was calculated using median adjusted odds ratios. The Pearson correlation coefficient was used to evaluate the degree of correlation between low-value testing for each condition at the VAMC level. Results: Among 1 022 987 veterans, the mean (SD) age was 60 (16) years, 1 008 336 (92.4%) were male, and 761 485 (69.8%) were non-Hispanic White. A total of 343 024 veterans (31.4%) were diagnosed with low back pain, 79 176 (7.3%) with headache, 23 776 (2.2%) with syncope, and 52 889 (4.8%) with sinusitis. With the sensitive criteria, overall and VAMC-level low-value testing frequency varied substantially across conditions: 4.6% (range, 2.7%-10.1%) for sinusitis, 12.8% (range, 8.6%-22.6%) for headache, 18.2% (range, 10.9%-24.6%) for low back pain, and 20.1% (range, 16.3%-27.7%) for syncope. With the specific criteria, the overall frequency of low-value testing across VAMCs was 2.4% (range, 1.3%-5.1%) for sinusitis, 8.6% (range, 6.2%-14.6%) for headache, 5.6% (range, 3.6%-7.7%) for low back pain, and 13.3% (range, 11.3%-16.8%) for syncope. The median adjusted odds ratio ranged from 1.21 for low back pain to 1.40 for sinusitis. At the VAMC level, low-value testing was most strongly correlated for syncope and headache (ρ = 0.56; P < .001) and low back pain and headache (ρ = 0.48; P < .001). Conclusions and Relevance: In this cohort study, low-value diagnostic testing was common, varied substantially across VAMCs, and was correlated between veterans' receipt of different low-value tests at the VAMC level. The findings suggest a need to address low-value diagnostic testing, even in integrated health systems, with robust utilization management practices.

Discontinuation of Statins in Veterans Admitted to Nursing Homes near the End of Life.

BACKGROUND/OBJECTIVES: Geriatric guidelines recommend against statin use in older adults with limited life expectancy (LLE) or advanced dementia (AD). This study examined resident and facility factors predicting statin discontinuation after nursing home (NH) admission in veterans with LLE/AD taking statins for secondary prevention. DESIGN: Retrospective cohort study of Veterans Affairs (VA) bar code medication administration records, Minimum Data Set (MDS) assessments, and utilization records linked to Medicare claims. SETTING: VA NHs, known as community living centers (CLCs). PARTICIPANTS: Veterans aged 65 and older with coronary artery disease, stroke, or diabetes mellitus, type II, admitted in fiscal years 2009 to 2015, who met criteria for LLE/AD on their admission MDS and received statins in the week after admission (n = 13,110). MEASUREMENTS: Residents were followed until statin discontinuation (ie, gap in statin use ≥14 days), death, or censoring due to discharge, day 91 of the stay, or end of the study period. Competing risk models assessed cumulative incidence and predictors of discontinuation, stratified by whether the resident had their end-of-life (EOL) status designated or used hospice at admission. RESULTS: Overall cumulative incidence of statin discontinuation was 31% (95% confidence interval [CI] = 30%-32%) by day 91, and it was markedly higher in those with (52%; 95% CI = 50%-55%) vs without (25%; 95% CI = 24%-26%) EOL designation/hospice. In patients with EOL designation/hospice (n = 2,374), obesity, congestive heart failure, and admission from nonhospital settings predicted decreased likelihood of discontinuation; AD, dependency in activities of daily living, greater number of medications, and geographic region predicted increased likelihood of discontinuation. In patients without EOL designation/hospice (n = 10,736), older age and several specific markers of poor prognosis predicted greater discontinuation, whereas obesity/overweight predicted decreased discontinuation. CONCLUSION: Most veterans with LLE/AD taking statins for secondary prevention do not discontinue statins following CLC admission. Designating residents as EOL status, hospice use, and individual clinical factors indicating poor prognosis may prompt deprescribing.

Incidence and Predictors of Aspirin Discontinuation in Older Adult Veteran Nursing Home Residents at End of Life.

OBJECTIVES: Continuation of aspirin for secondary prevention in persons with limited life expectancy (LLE) is controversial. We sought to determine the incidence and predictors of aspirin discontinuation in veterans with LLE and/or advanced dementia (LLE/AD) who were taking aspirin for secondary prevention at nursing home admission, stratified by whether their limited prognosis (LP) was explicitly documented at admission. DESIGN: Retrospective cohort study using linked Veterans Affairs (VA) and Medicare clinical/administrative data and Minimum Data Set resident assessments. SETTING: All VA nursing homes (referred to as community living centers [CLCs]) in the United States. PARTICIPANTS: Older (≥65 y) CLC residents with LLE/AD, admitted for 7 days or longer in fiscal years 2009 to 2015, who had a history of coronary artery disease and/or stroke/transient ischemic attack, and used aspirin within the first week of CLC admission (n = 13 844). MEASUREMENTS: The primary dependent variable was aspirin discontinuation within the first 90 days after CLC admission, defined as 14 consecutive days of no aspirin receipt. Independent variables included an indicator for explicit documentation of LP, sociodemographics, environment of care characteristics, cardiovascular risk factors, bleeding risk factors, individual markers of poor prognosis (eg, cancer, weight loss), and facility characteristics. Fine and Gray subdistribution hazard models with death as a competing risk were used to assess predictors of discontinuation. RESULTS: Cumulative incidence of aspirin discontinuation was 27% (95% confidence interval [CI] = 26%-28%) in the full sample, 34% (95% CI = 33%-36%) in residents with explicit documentation of LP, and 24% (95% CI = 23%-25%) in residents with no such documentation. The associations of independent variables with aspirin discontinuation differed in residents with vs without explicit LP documentation at admission. CONCLUSION: Just over one-quarter of patients discontinued aspirin, possibly reflecting the unclear role of aspirin in end of life among prescribers. Future research should compare outcomes of aspirin deprescribing in this population. J Am Geriatr Soc 68:725-735, 2020.

Impact of deprescribing AChEIs on aggressive behaviors and antipsychotic prescribing.

INTRODUCTION: We evaluated the impact of deprescribing acetylcholinesterase inhibitors (AChEIs) on aggressive behaviors and incident antipsychotic use in nursing home (NH) residents with severe dementia. METHODS: We conducted a retrospective study of Medicare claims, Part D, Minimum Data Set for NH residents aged 65+ with severe dementia receiving AChEIs in 2016. Aggressive behaviors were measured using the aggressive behavior scale (ABS; n = 30,788). Incident antipsychotic prescriptions were evaluated among antipsychotic non-users (n = 25,188). Marginal structural models and inverse probability of treatment weights were used to evaluate associations of AChEI deprescribing and outcomes. RESULTS: The severity of aggressive behaviors was low at baseline (mean ABS = 0.5) and was not associated with deprescribing AChEIs (0.002 increase in ABS, P = .90). Incident antipsychotic prescribing occurred in 5.1% of residents and was less likely with AChEI deprescribing (adjusted odds ratio = 0.52 [0.40-0.68], P <.001]). DISCUSSION: Deprescribing AChEIs was not associated with a worsening of aggressive behaviors or incident antipsychotic prescriptions.

Deintensification of Diabetes Medications among Veterans at the End of Life in VA Nursing Homes.

OBJECTIVES: Many older adults with limited life expectancy and/or advanced dementia (LLE/AD) are potentially overtreated for diabetes and may benefit from deintensification. Our aim was to examine the incidence and predictors of diabetes medication deintensification in older Veterans with LLE/AD who were potentially overtreated at admission to Veterans Affairs (VA) nursing homes (community living centers [CLCs]). DESIGN: Retrospective cohort study using linked VA and Medicare clinical/administrative data and Minimum Data Set assessments. SETTING: VA CLCs. PARTICIPANTS: A total of 6960 Veterans with diabetes and LLE/AD admitted to VA CLCs in fiscal years 2009 to 2015 with hemoglobin (Hb)A1c measured within 90 days of admission. MEASUREMENTS: We evaluated treatment deintensification (discontinuation or dose reduction for a consecutive 7-day period) among residents who were potentially overtreated (HbA1c ≤7.5% and receiving hypoglycemic medications). Competing risk models assessed 90-day cumulative incidence of deintensification. RESULTS: More than 40% (n = 3056) of Veteran CLC residents with diabetes were potentially overtreated. The cumulative incidence of deintensification at 90 days was 45.5%. Higher baseline HbA1c values were associated with a lower likelihood of deintensification (e.g., HbA1c 7.0-7.5% vs <6.0%; adjusted risk ratio [aRR] = .57; 95% confidence interval [CI] = .50-.66). Compared with non-sulfonylurea oral agents (e.g., metformin), other treatment regimens were more likely to be deintensified (aRR = 1.31-1.88), except for basal insulin (aRR = .59; 95% CI = .52-.66). The only resident factor associated with increased likelihood of deintensification was documented end-of-life status (aRR = 1.12; 95% CI = 1.01-1.25). Admission from home/assisted living (aRR = .85; 95% CI = .75-.96), obesity (aRR = .88; 95% CI = .78-.99), and peripheral vascular disease (aRR = .90; 95% CI = .81-.99) were associated with decreased likelihood of deintensification. CONCLUSION: Deintensification of treatment regimens occurred in less than one-half of potentially overtreated Veterans and was more strongly associated with low HbA1c values and use of medications with high risk for hypoglycemia, rather than other resident characteristics. J Am Geriatr Soc 68:736-745, 2020.

Identifying sociodemographic profiles of veterans at risk for high-dose opioid prescribing using classification and regression trees.

OBJECTIVE: To identify sociodemographic profiles of patients prescribed high-dose opioids. DESIGN: Cross-sectional cohort study. SETTING/PATIENTS: Veterans dually-enrolled in Veterans Health Administration and Medicare Part D, with ≥1 opioid pre-scription in 2012. MAIN OUTCOME MEASURES: We identified five patient-level demographic characteristics and 12 community variables re-flective of region, socioeconomic deprivation, safety, and internet connectivity. Our outcome was the proportion of vet-erans receiving >120 morphine milligram equivalents (MME) for ≥90 consecutive days, a Pharmacy Quality Alliance measure of chronic high-dose opioid prescribing. We used classification and regression tree (CART) methods to identify risk of chronic high-dose opioid prescribing for sociodemographic subgroups. RESULTS: Overall, 17,271 (3.3 percent) of 525,716 dually enrolled veterans were prescribed chronic high-dose opioids. CART analyses identified 35 subgroups using four sociodemographic and five community-level measures, with high-dose opioid prescribing ranging from 0.28 percent to 12.1 percent. The subgroup (n = 16,302) with highest frequency of the outcome included veterans who were with disability, age 18-64 years, white or other race, and lived in the Western Census region. The subgroup (n = 14,835) with the lowest frequency of the outcome included veterans who were with-out disability, did not receive Medicare Part D Low Income Subsidy, were >85 years old, and lived in communities within the second and sixth to tenth deciles of community public assistance. CONCLUSIONS: Using CART analyses with sociodemographic and community-level variables only, we identified sub-groups of veterans with a 43-fold difference in chronic high-dose opioid prescriptions. Interactions among disability, age, race/ethnicity, and region should be considered when identifying high-risk subgroups in large populations.

Risk for Health Events After Deprescribing Acetylcholinesterase Inhibitors in Nursing Home Residents With Severe Dementia.

BACKGROUND/OBJECTIVE: Reevaluation of the appropriateness of acetylcholinesterase inhibitors (AChEIs) is recommended in older adults with severe dementia, given the lack of strong evidence to support their continued effectiveness and risk for medication-induced adverse events. We sought to evaluate the impact of deprescribing AChEIs on risk of all-cause events (hospitalizations, emergency department visits, and mortality) and serious falls or fractures in older nursing home (NH) residents with severe dementia. DESIGN: Analysis of 2015 to 2016 data from Medicare claims, Part D prescriptions, Minimum Data Set (MDS) version 3.0, Area Health Resource File, and Nursing Home Compare. Marginal structural models with inverse probability of treatment weights were used to evaluate the association of deprescribing AChEIs and all-cause negative events as well as serious falls or fractures. SETTING: US Medicare-certified NHs. PARTICIPANTS: Nonskilled NH residents, aged 65 years and older, with severe dementia receiving AChEIs within the first 14 days of an MDS assessment in 2016 (n = 37 106). RESULTS: The sample was primarily white (78.7%), female (75.5%), and aged 80 years or older (77.4%). Deprescribing AChEIs was associated with an increased likelihood of all-cause negative events in unadjusted models (odds ratio [OR] = 1.17; 95% confidence interval [CI] = 1.11-1.23; P < .01), but not in fully adjusted models (adjusted OR [aOR] = 1.00; 95% CI = 0.94-1.06; P = .94). By contrast, deprescribing was associated with a reduced likelihood of serious falls or fractures in unadjusted models (OR = 0.59; 95% CI = 0.52-0.66; P < .001) and remained significant in adjusted models (aOR = 0.64; 95% CI = 0.56-0.73; P < .001). CONCLUSION: Deprescribing AChEIs was not associated with a significant increase in the likelihood for all-cause negative events and was associated with a reduced likelihood of falls and fractures in older NH residents with dementia. Our findings suggest that deprescribing AChEIs is a reasonable approach to reduce the risk of serious falls or fractures without increasing the risk for all-cause events. J Am Geriatr Soc 68:699-707, 2020.

Low-Value Prostate Cancer Screening Among Older Men Within the Veterans Health Administration.

BACKGROUND/OBJECTIVES: Prostate-specific antigen (PSA) screening can be of low value in older adults. Our objective was to quantify the prevalence and variation of low-value PSA screening across the Veterans Health Administration (VA), which has instituted programs to reduce low-value care. DESIGN: Retrospective cohort. SETTING: VA administrative data, 2014 to 2015. PARTICIPANTS: National random sample (N = 214 480) of male veterans, aged 75 years or older. MEASUREMENTS: We defined PSA screening in men aged 75 years or older without a history of prostate cancer as low value, per established definitions in Medicare. We calculated screening rates overall and by VA Medical Center (VAMC), adjusting for patient and VAMC-level factors. We characterized variation across VAMCs using the adjusted median odds ratio (OR) and compared the adjusted OR of screening between VAMCs in different deciles of low-value screening rates. In separate sensitivity analyses, we assessed screening in veterans at greatest risk of 1-year mortality and among veterans after excluding those who underwent prostatectomy, had a prior PSA elevation, or had a clinical indication for testing. RESULTS: Overall, 37 867 (17.7%) of veterans underwent low-value PSA screening (VAMC range = 3.3%-38.2%). The adjusted median OR was 1.88, meaning the median odds of screening would increase by 88% were a veteran to transfer his care to a VAMC with higher screening rates. Veterans at VAMCs in the top decile had an adjusted OR of 12.9 (95% confidence interval = 11.0-15.2) compared to those veterans in the lowest decile. Among veterans with the greatest mortality risk (n = 23 377), 3496 (15.0%) underwent screening (VAMC range = 1.7%-46.3%). After excluding veterans with a prior prostatectomy, PSA elevation, or a potential clinical indication, 31 556 (14.7%) underwent screening (VAMC range = 2.0%-49.9%). CONCLUSIONS: In a national cohort of older veterans, more than one in six received low-value PSA screening, with greater than 10-fold variation across VAMCs and high rates of screening among those with the greatest mortality risk. J Am Geriatr Soc 67:1922-1927, 2019.

Factors Associated With Deprescribing Acetylcholinesterase Inhibitors in Older Nursing Home Residents With Severe Dementia.

BACKGROUND/OBJECTIVE: Uncertainty regarding benefits and risks associated with acetylcholinesterase inhibitors (AChEIs) in severe dementia means providers do not know if and when to deprescribe. We sought to identify which patient-, provider-, and system-level characteristics are associated with AChEI discontinuation. DESIGN: Analysis of 2015 to 2016 data from Medicare claims, Part D prescriptions, Minimum Data Set (MDS), version 3.0, Area Health Resource File, and Nursing Home Compare. Cox-proportional hazards models with time-varying covariates were used to identify patient-, provider-, and system-level factors associated with AChEI discontinuation (30-day or more gap in supply). SETTING: US Medicare-certified nursing homes (NHs). PARTICIPANTS: Nonskilled NH residents, aged 65 years and older, with severe dementia receiving AChEIs within the first 14 days of an MDS assessment in 2016 (n = 37 106). RESULTS: The sample was primarily white (78.7%), female (75.5%), and aged 80 years or older (77.4%). The most commonly prescribed AChEIs were donepezil (77.8%), followed by transdermal rivastigmine (14.6%). The cumulative incidence of AChEI discontinuation was 29.7% at the end of follow-up (330 days), with mean follow-up times of 194 days for continuous users of AChEIs and 105 days for those who discontinued. Factors associated with increased likelihood of discontinuation were new admission, older age, difficulty being understood, aggressive behavior, poor appetite, weight loss, mechanically altered diet, limited prognosis designation, hospitalization in 90 days prior, and northeastern region. Factors associated with decreased likelihood of discontinuation included memantine use, use of strong anticholinergics, polypharmacy, rurality, and primary care prescriber vs geriatric specialist. CONCLUSION: Among NH residents with severe dementia being treated with AChEIs, the cumulative incidence of AChEI discontinuation was just under 30% at 1 year of follow-up. Our findings provide insight into potential drivers of deprescribing AChEIs, identify system-level barriers to deprescribing, and help to inform covariates that are needed to address potential confounding in studies evaluating the potential risks and benefits associated with deprescribing. J Am Geriatr Soc 67:1871-1879, 2019.