Veterans Affairs Nursing Home Research Articles

Fingerstick glucose monitoring by cognitive impairment status in Veterans Affairs nursing home residents with diabetes.

Guidelines recommend nursing home (NH) residents with cognitive impairment receive less intensive glycemic treatment and less frequent fingerstick monitoring. Our objective was to determine whether current practice aligns with guideline recommendations by examining fingerstick frequency in Veterans Affairs (VA) NH residents with diabetes across cognitive impairment levels. We identified VA NH residents with diabetes aged ≥65 residing in VA NHs for >30 days between 2016 and 2019. Residents were grouped by cognitive impairment status based on the Cognitive Function Scale: cognitively intact, mild impairment, moderate impairment, and severe impairment. We also categorized residents into mutually exclusive glucose-lowering medication (GLM) categories: (1) no GLMs, (2) metformin only, (3) sulfonylureas/other GLMs (+/- metformin but no insulin), (4) long-acting insulin (+/- oral/other GLMs but no short-acting insulin), and (5) any short-acting insulin. Our outcome was mean daily fingersticks on day 31 of NH admission. Among 13,637 NH residents, mean age was 75 years and mean hemoglobin A1c was 7.0%. The percentage of NH residents on short-acting insulin varied by cognitive status from 22.7% in residents with severe cognitive impairment to 33.9% in residents who were cognitively intact. Mean daily fingersticks overall on day 31 was 1.50 (standard deviation=1.73). There was a greater range in mean fingersticks across GLM categories compared to cognitive status. Fingersticks ranged widely across GLM categories from 0.39 per day (no GLMs) to 3.08 (short-acting insulin), while fingersticks ranged slightly across levels of cognitive impairment from 1.11 (severe cognitive impairment) to 1.59 (cognitively intact). NH residents receive frequent fingersticks regardless of level of cognitive impairment, suggesting that cognitive status is a minor consideration in monitoring decisions. Future studies should determine whether decreasing fingersticks in NH residents with moderate/severe cognitive impairment can reduce burdens without compromising safety.

Glycemic treatment deintensification practices in nursing home residents with type 2 diabetes.

BackgroundOlder nursing home (NH) residents with glycemic overtreatment are at significant risk of hypoglycemia and other harms and may benefit from deintensification. However, little is known about deintensification practices in this setting.MethodsWe conducted a cohort study from January 1, 2013 to December 31, 2019 among Veterans Affairs (VA) NH residents. Participants were VA NH residents age ≥65 with type 2 diabetes with a NH length of stay (LOS) ≥ 30 days and an HbA1c result during their NH stay. We defined overtreatment as HbA1c <6.5 with any insulin use, and potential overtreatment as HbA1c <7.5 with any insulin use or HbA1c <6.5 on any glucose‐lowering medication (GLM) other than metformin alone. Our primary outcome was continued glycemic overtreatment without deintensification 14 days after HbA1c.ResultsOf the 7422 included residents, 17% of residents met criteria for overtreatment and an additional 23% met criteria for potential overtreatment. Among residents overtreated and potentially overtreated at baseline, 27% and 19%, respectively had medication regimens deintensified (73% and 81%, respectively, continued to be overtreated). Long‐acting insulin use and hyperglycemia ≥300 mg/dL before index HbA1c were associated with increased odds of continued overtreatment (odds ratio [OR] 1.37, 95% confidence interval [CI] 1.14–1.65 and OR 1.35, 95% CI 1.10–1.66, respectively). Severe functional impairment (MDS‐ADL score ≥ 19) was associated with decreased odds of continued overtreatment (OR 0.72, 95% CI 0.56–0.95). Hypoglycemia was not associated with decreased odds of overtreatment.ConclusionsOvertreatment of diabetes in NH residents is common and a minority of residents have their medication regimens appropriately deintensified. Deprescribing initiatives targeting residents at high risk of harms and with low likelihood of benefit such as those with history of hypoglycemia, or high levels of cognitive or functional impairment are most likely to identify NH residents most likely to benefit from deintensification.

Blood Pressure Control and Cardiovascular and Mortality Risk in VA Nursing Home Residents

Optimal blood pressure (BP) control in nursing home residents is controversial and this population has been excluded from trials. We evaluated the associations of BP level with cardiovascular (CV) events and all-cause mortality across antihypertensive medication categories in Veterans Affairs (VA) nursing home residents. Data for 18,589 residents aged 65 years and older was obtained from the VA Corporate Data Warehouse from October 2006 through September 2017. Baseline systolic BP (SBP) and diastolic BP (DBP) were divided into categories and analyses were stratified by antihypertensive therapy (0, 1, and ≥2 medications). Over a median follow-up of 1.8 years, CV events occurred in 3,519 (19%) residents and 15,897 (86%) residents died. In participants on no BP medications, high SBP (>150 mmHg) was associated with a greater risk of CV events (adjusted [cause-specific] hazard ratio, 1.39; 95% confidence interval, 0.94-2.06) compared with normal SBP (110-130mmHg). By contrast, in participants on ≥2 BP medications, the subgroup with low SBP (<110 mmHg) had a higher CV risk (1.38; 1.20-1.57). For DBP, in participants without BP medications, there were no differences in CV risk across DBP subgroups. Whereas among those on 1 or ≥2 medications, DBP <60 mmHg was associated with a higher CV risk (1.26; 1.03-1.55 and 1.35; 1.18-1.54, respectively) compared with normal DBP (70-80 mmHg). Participants with low SBP (<110 mmHg) and DBP (<70 mmHg) had an increased mortality risk regardless of the number of medications. These findings suggest a potential risk of low BP among nursing home residents on multiple antihypertensive medications.

534. Halting a SARS-COV2 Outbreak in a Veterans Affairs Nursing Home

BackgroundHealth care systems have been significantly overwhelmed during the SARS-CoV-2 (SC2) pandemic. Cases in the USA have exceeded 1.9 million with over 40% of deaths occurring in nursing homes and assisting living facilities. We describe our experience in controlling an outbreak in our community living centers (CLC)MethodsWe retrospectively reviewed the charts of Veterans with positive nasopharyngeal (NP) RT-PCR for SC2 from March 24 to April 18, 2020 in 2 neighboring CLC units (80 bed capacity), at Northport Affairs Medical Center.ResultsTwenty five Veterans (24 men) tested positive for SC2. Of these, 5 remained asymptomatic, 9 got hospitalized, 6 died. No coinfection with influenza or other respiratory viruses identified. 11 health care workers (HCW) tested positive. Figure 1 shows test results by date. Table 1 summarizes the demographic characteristics, medical history, and laboratory findings. The median age was 74 years, with no difference in age between recovered and deceased, 73 vs. 77, P:0.105. Simplified acute physiology score (SAPS) II score was higher in the deceased group (P=0.001) and so were D-dimer (admission and peak levels), CRP, LDH, and peak ferritin/procalcitonin levels. There was no ICU admission. Figure 2 illustrates the CLC 1 and 2 outline of beds depicting positive cases in sequence of detection. Initial spread of the virus was fast, affecting residents and HCW. CLC visits were prohibited, floating of staff minimized, internal group activities halted, infection control measures and education on proper use of personal protective equipment provided. A SC2 (or “COVID”) unit was created in CLC1 and all patients and staff got tested. Withdrawal of isolation precautions required resolution of symptoms, and two sequential negative NP PCR tests which were obtained after 14 days from diagnosis. If the PCR was positive, a repeat test was obtained in 72 hours. 13 patients had persistent positive PCR for average 32 days (19 to 52) since diagnosis. 7/13 got tested and all were positive for SC2 IgG antibody.SARS-CoV -2 Outbreak in VA Nursing Home, Dates of Tests Bed Outline of CLCs Depicting the Location And Numerical Sequence of Positive Tests Comparison Between Recovered vs Deceased Nursing Home Veterans with COVID-19 ConclusionControlling SARS-CoV-2 outbreaks in nursing homes is a unique challenge as the virus can spread quickly among residents and staff. Mortality rate in our cohort was 24%. Prompt, effective isolation and broad testing was instrumental in halting the SC2 (COVID-19) outbreak.Disclosures All Authors: No reported disclosures

Temperature Screening for SARS-CoV-2 in Nursing Homes: Evidence from Two National Cohorts.

BACKGROUND/OBJECTIVESInfection screening tools classically define fever as 38.0°C (100.4°F). Frail older adults may not mount the same febrile response to systemic infection as younger or healthier individuals. We evaluate temperature trends among nursing home (NH) residents undergoing diagnostic SARS‐CoV‐2 testing and describe the diagnostic accuracy of temperature measurements for predicting test‐confirmed SARS‐CoV‐2 infection.DESIGNRetrospective cohort study evaluating diagnostic accuracy of pre–SARS‐CoV‐2 testing temperature changes.SETTINGTwo separate NH cohorts tested diagnostically (e.g., for symptoms) for SARS‐CoV‐2.PARTICIPANTSVeterans residing in Veterans Affairs (VA) managed NHs and residents in a private national chain of community NHs.MEASUREMENTSFor both cohorts, we determined the sensitivity, specificity, and Youden's index with different temperature cutoffs for SARS‐CoV‐2 polymerase chain reaction results.RESULTSThe VA cohort consisted of 1,301 residents in 134 facilities from March 1, 2020, to May 14, 2020, with 25% confirmed for SARS‐CoV‐2. The community cohort included 3,368 residents spread across 282 facilities from February 18, 2020, to June 9, 2020, and 42% were confirmed for SARS‐CoV‐2. The VA cohort was younger, less White, and mostly male. A temperature testing threshold of 37.2°C has better sensitivity for SARS‐CoV‐2, 76% and 34% in the VA and community NH, respectively, versus 38.0°C with 43% and 12% sensitivity, respectively.CONCLUSIONA definition of 38.0°C for fever in NH screening tools should be lowered to improve predictive accuracy for SARS‐CoV‐2 infection. Stakeholders should carefully consider the impact of adopting lower testing thresholds on testing availability, cost, and burden on staff and residents. Temperatures alone have relatively low sensitivity/specificity, and we advocate any threshold be used as part of a screening tool, along with other signs and symptoms of infection.

Fingerstick Glucose Monitoring in Veterans Affairs Nursing Home Residents with Diabetes Mellitus.

Guidelines recommend less intensive glycemic treatment and less frequent glucose monitoring for nursing home (NH) residents. However, little is known about the frequency of fingerstick (FS) glucose monitoring in this population. Our objective was to examine the frequency of FS glucose monitoring in Veterans Affairs (VA) NH residents with diabetes mellitus, type II (T2DM). National retrospective cohort study in 140 VA NHs. NH residents with T2DM and older than 65 years admitted to VA NHs between 2013 and 2015 following discharge from a VA hospital. NH residents were classified into five groups based on their highest hypoglycemia risk glucose-lowering medication (GLM) each day: no GLMs; metformin only; sulfonylureas; long-acting insulin; and any short-acting insulin. Our outcome was a daily count of FS measurements. Among 17,474 VA NH residents, mean age was 76 (standard deviation (SD) = 8) years and mean hemoglobin A1c was 7.6% (SD = 1.5%). On day 1 after NH admission, 49% of NH residents were on short-acting insulin, decreasing slightly to 43% at day 90. Overall, NH residents had an average of 1.9 (95% confidence interval (CI) = 1.8-1.9) FS measurements on NH day 1, decreasing to 1.4 (95% CI = 1.3-1.4) by day 90. NH residents on short-acting insulin had the most frequent FS measurements, with 3.0 measurements (95% CI = 2.9-3.0) on day 1, decreasing to 2.6 measurements (95% CI = 2.5-2.7) by day 90. Less frequent FS measurements were seen for NH residents receiving long-acting insulin (2.1 (95% CI = 2.0-2.2) on day 1) and sulfonylureas (1.7 (95% CI = 1.5-1.8) on day 1). Even NH residents on metformin monotherapy had 1.1 (95% CI = 1.1-1.2) measurements on day 1, decreasing to 0.5 (95% CI = 0.4-0.6) measurements on day 90. Although guidelines recommend less frequent glucose monitoring for NH residents, we found that many VA NH residents receive frequent FS monitoring. Given the uncertain benefits and potential for substantial patient burdens and harms, our results suggest decreasing FS monitoring may be warranted for many low hypoglycemia risk NH residents.

Care Transitions to the Community From Veterans Affairs Nursing Homes: Experiences of Social Connection and Disconnection

ObjectiveThis study aimed to further knowledge of older Veterans’ experiences with transitioning to the community from Veterans Affairs nursing homes (Community Living Centers or CLCs) with emphasis on social functioning. DesignA qualitative study design was used in addition to administration of standardized depression and mental status screens. Setting and ParticipantsVeterans (n = 18) and caregivers (n = 14) were purposively sampled and recruited from 2 rural CLCs in Upstate New York. MethodsSemistructured interviews were completed with Veterans in the CLC prior to discharge (to explore experiences during the CLC stay and expectations regarding discharge and returning home) and in the home 2–4 weeks postdischarge (to explore daily routines and perceptions of overall health, mental health, and social functioning). Caregivers participated in 1 interview, completed postdischarge. The 9-item Patient Health Questionnaire and the Brief Interview for Mental Status were administered postdischarge. ResultsThematic analysis of verbatim transcriptions revealed 3 inter-related themes: (1) Veterans may experience improved social connectedness in CLCs by nature of the unique care environment (predominantly male, shared military experience); (2) Experiences of social engagement and connectedness varied after discharge and could be discordant with Veterans’ expectations for recovery prior to discharge; and (3) Veterans may or may not describe themselves as “lonely” after discharge, when physically isolated. Veterans lacked moderate to severe cognitive impairment (Brief Interview for Mental Status: range = 14–15); however, they reported a wide range in depressive symptom severity postdischarge (9-item Patient Health Questionnaire: mean = 4.9, SD = 6.1, median/mode = 3, range = 0–23). Conclusions and ImplicationsThis study identified a potential for increased social isolation and disengagement after discharge from Veterans Affairs nursing homes. Nursing homes should integrate social functioning assessment for their residents, while extending care planning and transitional care to address patient-centered social functioning goals.

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

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. Retrospective cohort study of Veterans Affairs (VA) bar code medication administration records, Minimum Data Set (MDS) assessments, and utilization records linked to Medicare claims. VA NHs, known as community living centers (CLCs). 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). 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. 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. 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.

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

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]). Retrospective cohort study using linked VA and Medicare clinical/administrative data and Minimum Data Set assessments. VA CLCs. 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. 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. 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. 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.

Antibiograms Cannot Be Used Interchangeably Between Acute Care Medical Centers and Affiliated Nursing Homes

ObjectiveTo determine whether antibiograms for Veterans Affairs (VA) nursing homes (NHs), termed Community Living Centers, are similar to those from their affiliated acute care medical centers. DesignDescriptive study. Setting and participantsWe compared the 2017 antibiograms for VA NHs to their affiliated VA medical centers (VAMCs). Antibiograms included antibiotic susceptibility rates for commonly observed bacteria in this setting (Staphylococcus aureus, Enterococcus spp, Escherichia coli, Klebsiella spp, Proteus mirabilis, and Pseudomonas aeruginosa). MethodsAntibiograms were considered to be in complete agreement when the overall susceptibility rate between the NH and affiliated VAMC was either at or above 80% or below 80% across all bacteria and antibiotics. Average percentage of bacteria-antibiotic comparisons in disagreement per facility pair, and number of facilities with agreement for specific bacteria-antibiotic comparisons were also assessed. The chi-square test was used to compare disagreement between NH-VAMC facilities based on geographic proximity of the NH to the VAMC, culture source, and bed size. ResultsA total of 119 NH-VAMC affiliate pairs were included in this analysis, with 71% (84/119) on the same campus and 29% (35/119) on geographically distinct campuses. None of the NH-VAMC pairs demonstrated complete agreement (all bacteria vs all antibiotics) between their antibiograms. On average, 20% of the bacteria-antibiotic comparisons from the antibiogram disagreed clinically per NH-VAMC pair, and almost twice as often the nursing home had lower susceptibility (higher resistance) than the acute care facility. Some bacteria-antibiotic comparisons agreed in all facilities (eg, E coli–imipenem; S aureus–linezolid; S aureus–vancomycin), while others showed greater disagreement (eg, Klebsiella spp–cefazolin; Klebsiella spp–ampicillin-sulbactam; P aeruginosa–ciprofloxacin). Rates of clinical disagreement were similar by geographic proximity of the NH to the VAMC, culture source, and bed size. Conclusions and implicationsOverall, this study showed a moderate lack of agreement between VA NH antibiograms and their affiliate VAMC antibiograms. Our data suggest that antibiograms of acute care facilities are often not accurate approximations of the nursing home resistance patterns and therefore should be used with caution (if at all) in guiding empiric antibiotic therapy.

Adaptation and Initial Validation of Minimum Data Set (MDS) Mortality Risk Index to MDS Version 3.0.

To evaluate the predictive validity of an adapted version of the Minimum Data Set (MDS) Mortality Risk Index-Revised (MMRI-R) based on MDS version 3.0 assessment items (MMRI-v3) and to compare the predictive validity of the MMRI-v3 with that of a single MDS item indicating limited life expectancy (LLE). Retrospective, cross-sectional study of MDS assessments. Other data sources included the Veterans Affairs (VA) Residential History File and Vital Status File. VA nursing homes (NHs). Veterans aged 65 and older newly admitted to VA NHs between July 1, 2012, and September 30, 2015. The dependent variable was death within 6 months of admission date. Independent variables included MDS items used to calculate MMRI-v3 scores (renal failure, chronic heart failure, sex, age, dehydration, cancer, unintentional weight loss, shortness of breath, activity of daily living scale, poor appetite, acute change in mental status) and the MDS item indicating LLE. The predictive ability of the MMRI-v3 for 6-month mortality (c-statistic 0.81) is as good as that of the original MMRI-R (c-statistic 0.76). Scores generated using the MMRI-v3 had greater predictive ability than that of the single MDS indicator for LLE (c-statistic 0.76); using the 2 together resulted in greater predictive ability (c-statistic 0.86). The MMRI-v3 is a useful tool in research and clinical practice that accurately predicts 6-month mortality in veterans residing in Veterans Affairs NHs. Identification of residents with LLE has great utility for studying palliative care interventions and may be helpful in guiding allocation of these services in clinical practice. J Am Geriatr Soc 66:2353-2359, 2018.

Central Nervous System Medication Burden and Risk of Recurrent Serious Falls and Hip Fractures in Veterans Affairs Nursing Home Residents.

To examine the association between central nervous system (CNS) medication dosage burden and risk of serious falls, including hip fractures, in individuals with a history of a recent fall. Nested case-control study. Veterans Health Administration (VHA) Community Living Centers (CLCs). CLC residents aged 65 and older with a history of a fall or hip fracture in the year before a CLC admission between July 1, 2005, and June 30, 2009. Each case (n = 316) was matched to four controls (n = 1264) on age, sex, and length of stay. Outcomes were serious falls identified using International Classification of Diseases, Ninth Revision (ACD-9) or Current Procedural Terminology (CPT) E codes, diagnosis codes, or procedure codes associated with a VHA emergency department visit or hospitalization during the CLC stay. Bar code medication administration data were used to calculate CNS standardized daily doses (SDDs) for opioid and benzodiazepine receptor agonists, some antidepressants, antiepileptics, and antipsychotics received in the 6 days before the outcome date by dividing residents' actual CNS daily doses by the minimum effective geriatric daily doses and adding the results. Multivariable conditional logistic regression models were used to evaluate the association between total CNS medication dosage burden, categorized as 0, 1 to 2, and 3 or more SDDs, and the outcome of recurrent serious falls. More cases (44.3%) than controls (35.8%) received 3.0 or more CNS SDDs (p = .02). Risk of serious falls was greater in residents with 3.0 or more SDDs than in those with 0 (adjusted odds ratio (aOR)=1.49, 95% confidence interval (CI)=1.03-2.14). Those with 1.0 to 2.9 SDDs had a risk similar to that of those with 0 SDDs (aOR=1.03, 95%CI=0.72-1.48). Nursing home residents with a history of a fall or hip fracture receiving 3.0 or more CNS SDDs were more likely to have a recurrent serious fall than those taking no CNS medications. Interventions targeting this vulnerable population may help reduce serious falls. J Am Geriatr Soc 67:74-80, 2019.

Changing Patterns of Glucose-Lowering Medication Use in VA Nursing Home Residents With Diabetes, 2005 to 2011

ObjectiveAlthough nursing home (NH) residents make up a large and growing proportion of Americans with diabetes mellitus, little is known about how glucose-lowering medications are used in this population. We sought to examine glucose-lowering medication use in Veterans Affairs (VA) NH residents with diabetes between 2005 and 2011. Research Design and MethodsRetrospective cohort study, using linked laboratory, pharmacy, administrative, and NH Minimum Dataset (MDS) 2.0 databases in 123 VA NHs. A total of 9431 long-stay (>90 days) VA NH residents older than 65 followed for 52,313 person-quarters. We identified receipt of glucose-lowering medications, including insulin, metformin, sulfonylureas, thiazolidinediones, and others (alpha-glucosidase inhibitors, meglitinides, glucagonlike peptide-1 analogs, dipeptidyl peptidase-4 inhibitors and amylin analogs) per quarter. ResultsThe rates of sulfonylurea use in long-stay NH residents dropped dramatically from 24% in 2005 to 12% in 2011 (P < .001), driven in large part by the dramatic decrease in glyburide use (10% to 2%, P < .001). There was sharp drop in thiazolidinedione use in 2007 (4% to <1%, P < .001). Metformin use was stable, ranging between 7% and 9% (P = .24). Insulin use increased slightly from 30% to 32% (P < .001). Use of other classes of glucose-lowering medications was stable (P = .22) and low, remaining below 1.3%. Conclusions and RelevanceBetween 2005 and 2011, there were dramatic declines in use of sulfonylureas and thiazolidinediones in VA NH residents, suggesting that prescribing practices can be quickly changed in this setting.

CONNECT for Better Fall Prevention in Nursing Homes: Results from a Pilot Intervention Study

To determine whether an intervention that improves nursing home (NH) staff connections, communication, and problem solving (CONNECT) would improve implementation of a falls reduction education program (FALLS). Cluster randomized trial. Community (n=4) and Veterans Affairs (VA) NHs (n=4). Staff in any role with resident contact (n=497). NHs received FALLS alone (control) or CONNECT followed by FALLS (intervention), each delivered over 3 months. CONNECT used storytelling, relationship mapping, mentoring, self-monitoring, and feedback to help staff identify communication gaps and practice interaction strategies. FALLS included group training, modules, teleconferences, academic detailing, and audit and feedback. NH staff completed surveys about interactions at baseline, 3 months (immediately after CONNECT or control period), and 6 months (immediately after FALLS). A random sample of resident charts was abstracted for fall risk reduction documentation (n=651). Change in facility fall rates was an exploratory outcome. Focus groups were conducted to explore changes in organizational learning. Significant improvements in staff perceptions of communication quality, participation in decision-making, safety climate, caregiving quality, and use of local interaction strategies were observed in intervention community NHs (treatment-by-time effect P=.01) but not in VA NHs, where a ceiling effect was observed. Fall risk reduction documentation did not change significantly, and the direction of change in individual facilities did not relate to observed direction of change in fall rates. Fall rates did not change in control facilities (falls/bed per year: baseline, 2.61; after intervention, 2.64) but decreased by 12% in intervention facilities (falls/bed per year: baseline, 2.34; after intervention, 2.06); the effect of treatment on rate of change was 0.81 (95% confidence interval=0.55-1.20). CONNECT has the potential to improve care delivery in NHs, but the trend toward improving fall rates requires confirmation in a larger ongoing study.

Trends and Predictors of Quality of Care in VA Nursing Homes Related to Serious Mental Illness

Within Veterans Affairs (VA) nursing homes (NHs), quality issues have a tremendous impact on the population with serious mental illness (SMI), who are more likely than their non-SMI Veteran counterparts to use NH services. We examined recent trends in quality indicators (QIs) measuring poor performance of VA NHs and whether the facility-level QIs vary with SMI concentration within the facility. From VA administrative records including Minimum Data Set assessments, we identified all residents in the 135 VA NHs between fiscal years 2005 (FY05) through FY07. We used a zero-inflated Poisson regression to assess trends in and facility-level predictors of 3 process-related QIs: depression without antidepressant therapy; bladder/bowel incontinence without a toileting plan; and physical restraint use. Facility-level predictors included collocated special care units, rurality, staffing, physical plant characteristics, SMI prevalence, and SMI admission volume. During FY05-FY07, restraint use declined from 1.2% to 1.1% and incontinence without a toileting plan from 25.8% to 22.1%, but untreated depression increased from 5.1% to 5.5%. Despite overall gains in quality, higher SMI prevalence was associated with higher odds of physical restraint use and lack of toileting plan. Higher SMI prevalence was also associated with higher frequency of untreated depression. Other characteristics such as complex building structure were predictive of variation in quality, but the relationships were not consistent across QI types. VA NHs had significant improvements in these examined QIs during the study period. Nonetheless, overall poorer quality was observed at sites with higher SMI concentrations.

Use of Antipsychotics Among Older Residents in VA Nursing Homes

Antipsychotic medications are commonly prescribed to nursing home residents despite their well-established adverse event profiles. Because little is known about their use in Veterans Affairs (VA) nursing homes [ie, Community Living Centers (CLCs)], we assessed the prevalence and risk factors for antipsychotic use in older residents of VA CLCs. This cross-sectional study included 3692 Veterans age 65 or older who were admitted between January 2004 and June 2005 to one of 133 VA CLCs and had a stay of ≥90 days. We used VA Pharmacy Benefits Management data to examine antipsychotic use and VA Medical SAS datasets and the Minimum Data Set to identify evidence-based indications for antipsychotic use (eg, schizophrenia, dementia with psychosis). We used multivariable logistic regression and generalized estimating equations to identify factors independently associated with antipsychotic receipt. Overall, 948/3692(25.7%) residents received an antipsychotic, of which 59.3% had an evidence-based indication for use. Residents with aggressive behavior [odds ratio (OR)=2.74, 95% confidence interval (CI), 2.04-3.67] and polypharmacy (9+ drugs; OR=1.84, 95% CI, 1.41-2.40) were more likely to receive antipsychotics, as were users of antidepressants (OR=1.37, 95% CI, 1.14-1.66), anxiolytic/hypnotics (OR=2.30, 95% CI, 1.64-3.23), or drugs for dementia (OR=1.52, 95% CI, 1.21-1.92). Those residing in Alzheimer/dementia special care units were also more likely to receive an antipsychotic (OR=1.66, 95% CI, 1.26-2.21). Veterans with dementia but no documented psychosis were as likely as those with an evidence-based indication to receive an antipsychotic (OR=1.10, 95% CI, 0.82-1.47). Antipsychotic use is common among VA nursing home residents aged 65 and older, including those without a documented evidence-based indication for use. Further quality improvement efforts are needed to reduce potentially inappropriate antipsychotic prescribing.

Substance Use Disorders and Health Care Costs Among Veterans Affairs Nursing Home Residents

Research on the relationship between substance use disorders (SUDs) and older adults' health care costs is equivocal. A large-scale study comparing health care costs among older adults with and without SUDs has never been conducted. To determine the relation of SUDs to health care costs in a large sample of adults following entry into a Veterans Affairs (VA) nursing home. We performed a retrospective analysis of 29,997 adults aged 45+ who entered a VA nursing home in 2000. Total costs were tallied over fiscal years 1997 to 2000 by setting (outpatient, nursing home, other inpatient, and total) and included all care paid by VA. Relative to non-SUD patients, those with SUDs aged 75 to 84 years had significantly higher total costs of care (+$10,020), as did those aged 85 and above (+$16,052). Yet, SUD diagnosis was not a significant predictor of total cost or nursing home cost among persons 65 and above after controlling for demographic, clinical, and financial factors. SUDs do not directly increase health care costs among older adults entering nursing homes, although they may affect cost of care indirectly through factors such as income and marital dissolution. The generational increase in SUD rates occurring in the United States may not lead to substantially greater health care expenses if appropriate assistance can be provided before nursing home entry.

Recent Changes in the Prevalence of Psychiatric Disorders Among VA Nursing Home Residents

This study identified recent changes in the prevalence of psychiatric disorders among Department of Veterans Affairs (VA) nursing home residents. Psychiatric diagnoses in administrative databases were summarized for nursing home residents in 1998, 2002, and 2006. Census prevalence rates were compared with findings from earlier VA nursing home surveys. Prevalence rates were compared for age groups and birth cohorts of VA nursing home admissions in 1998 (N=27,734) and 2006 (N=32,543). Among residents in the census samples, prevalence rates for dementia and schizophrenia fluctuated moderately from 1990 to 2006, depression prevalence increased sharply, alcohol use disorder prevalence declined, and drug use disorder prevalence increased. Among 1998 and 2006 admissions, dementia prevalence increased for most birth cohorts but declined for most age groups (35% to 32% overall). Depression prevalence increased for all age groups and birth cohorts (27% to 37% overall), as did posttraumatic stress disorder prevalence (5% to 12% overall). Serious mental illness prevalence increased among the oldest residents and birth cohorts (19% to 22% overall). Alcohol use disorder prevalence declined for all birth cohorts and most age groups (18% to 16% overall), but drug use disorder prevalence increased substantially for younger age groups (6% to 9% overall). Examining differences in prevalence between birth cohorts and age groups can clarify trends in nursing home resident characteristics and improve projections of their future needs.

Quality Indicators in the Department of Veterans Affairs Nursing Home Care Units: A Preliminary Assessment

The authors analyzed the minimum data set quality indicators data aggregated nationally from 134 Department of Veterans Affairs nursing home care units with more than 15,000 long-stay residents (>90 days) yearly for federal fiscal years 2003, 2004, and 2005. Despite an increase in the severity of illness and complexity of services as determined by the minimum data set case-mix indices, most of the minimum data set quality indicators showed an improvement (rate decrease) from fiscal year 2003 to fiscal year 2005, whether examined on a year-to-year basis or by an overall 3-year trend. Nationally, there was a 5.1% increase in average case-mix index, while 14 of 24 quality indicators showed a decrease in the prevalence/ incidence rates and only 4 quality indicators showed increased rates. These minimum data set results provide important information for Veterans Affairs quality managers regarding areas of achievement and also identify areas to be targeted for future quality improvement.

Wanderers with Cognitive Impairment in Department of Veterans Affairs Nursing Home Care Units

To explore the extent of and factors associated with male nursing home residents who wander. Cross-sectional design with secondary data analyses. One hundred thirty-four nursing home facilities operated by the Department of Veterans Affairs. Fifteen thousand ninety-two nursing home residents with moderate or severe cognitive impairment admitted over a 4-year period. Selected variables from the Minimum Data Set included ratings recorded at residents' admission to the nursing home (cognitive impairment, mood, behavior problems, activities of daily living, and wandering). In this sample of residents with moderate or severe cognitive impairment, the proportion of wanderers was found to be 21%. Wanderers were more likely to exhibit severe (vs moderate) cognitive impairment, socially inappropriate behavior, resistance to care, use of antipsychotic medication, independence in locomotion or ambulation, and dependence in activities of daily living related to basic hygiene. A sizable proportion of wanderers were found to be wheelchair users (25%) or were wanderers with dual dementia and psychiatric diagnoses (23%), characteristics that are not well documented in the literature. These results support previous clinical understanding of wanderers to be those who are more likely to exhibit more-severe cognitive impairment. Based on a statistical model with variables generated from prior research findings, classification as a wanderer was found to be associated with other disruptive activity such as socially inappropriate behavior and resisting care. Two understudied populations of wanderers were documented: wheelchair wanderers and those with comorbid dementia and psychiatric diagnoses. Future longitudinal studies should examine predictors of wandering behavior, and further research should explore the understudied subpopulations of wheelchair and dual-diagnosis wanderers who emerged in this study.