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Objectives To perform an economic evaluation of a primary care-based physical activity counseling intervention that improved physical activity levels and rapid gait speed in older veterans. Design Secondary objective of randomized trial that assessed the effect of exercise counseling (relative to usual care) on physical performance, physical activity, function, disability, and medical resource use and cost. Setting Veterans Affairs Medical Center, Durham, North Carolina. Participants Male veterans aged ≥70 years (n = 398). Intervention An experienced health counselor provided baseline in-person exercise counseling, followed by telephone counseling at 2, 4, and 6 weeks, and monthly thereafter through one year. Each participant's primary care physician provided initial endorsement of the intervention, followed by monthly automated telephone messages tailored to the patient. Individualized progress reports were mailed quarterly. Measurements Intervention costs were assessed. Health care resource use and costs were estimated from enrollment through one year follow-up. The incremental cost of achieving clinically significant changes in major trial endpoints was calculated. Results The total direct cost of the intervention per participant was $459, 85% of which was counselor effort. With overhead, program cost totaled $696 per participant. Medical costs during follow-up reached $10,418 with the intervention, versus $12,052 with usual care (difference = −$1,634 (95% confidence interval = −$4,683 to $1,416; P = .29)). Expressed in terms of short-term clinical outcomes, the intervention cost $4,971 per additional patient reaching target exercise levels, or $4,640 per patient achieving a clinically significant change in rapid gait speed. Conclusion Improvements in physical activity and rapid gait speed in the physical activity counseling group were obtained at a cost that represents a small fraction of patients' annual health care costs. [ABSTRACT FROM AUTHOR]

Background: An Emergency Department (ED) visit represents a time of significant risk for an older adult; however, little is known about adverse outcomes after an ED visit in the VA system.Objectives: 1) To describe the frequency and type of adverse health outcomes among older veterans discharged from the ED, and 2) To determine risk factors associated with adverse outcomes.Design: Retrospective, cohort study at an academically affiliated VA medical center.Patients: A total of 942 veterans > or = 65 years old discharged from the ED.Measurements and Main Results: Primary dependent variable was adverse outcome, defined as a repeat VA ED visit, hospitalization, and/or death within 90 days. Overall, 320 (34.0%) patients experienced an adverse outcome: 245 (26%) returned to the VA ED but were not admitted, 125 (13.3%) were hospitalized, and 23 (2.4%) died. In adjusted analyses, higher score on the Charlson Comorbidity Index (hazard ratio [HR] 1.11; 95% CI 1.03, 1.21), ED visit within the previous 6 months (HR 1.64; 95% CI 1.30, 2.06), hospitalization within the previous 6 months (HR 1.70, 95% CI 1.30, 2.22), and triage to the emergency unit (compared to urgent care clinic) (HR 1.76, 95% CI 1.32, 2.36) were independently associated with higher risk of adverse outcomes.Conclusion: More than 1 in 3 older veterans discharged from the ED experienced a significant adverse outcome within 90 days of ED discharge. Identifying veterans at greatest risk for adverse outcomes after ED discharge can inform the design and targeting of interventions to reduce morbidity and costs in this group. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To determine the prevalence and type of suboptimal pharmacotherapy that older veterans discharged from the emergency department (ED) or urgent care clinic (UCC) receive and to examine factors associated with suboptimal pharmacotherapy in this population. DESIGN: Retrospective, cohort study. SETTING: An academically affiliated Department of Veterans' Affairs (VA) Medical Center. PARTICIPANTS: Four hundred twenty-one veterans aged 65 and older who were prescribed a new medication at the time of discharge from the ED or UCC. MEASUREMENTS: The primary dependent variable, suboptimal pharmacotherapy, was a composite measure defined as one or more drug-related problems, based on drugs-to-avoid criteria, drug–drug interactions, drug–disease interactions, and failure to satisfy an explicit quality indicator for prescribing or medication monitoring. RESULTS: A total of 757 drugs were prescribed to the 421 patients at the time of discharge from the ED or UCC (mean number±standard deviation per patient 1.65±1.1). The most frequently prescribed medications were nonsteroidal antiinflammatory drugs (n=59), opioid analgesics (n=47), and fluoroquinolone antibiotics (n=46). Overall, 134 (31.8%) subjects were found to have suboptimal pharmacotherapy with regard to their discharge medications; 49 (11.6%) were prescribed a drug to avoid, 53 (12.6%) received a drug that introduced a new drug–drug interaction, 24 (5.7%) were given a drug that introduced a drug–disease interaction, and 74 (17.6%) did not have a quality indicator satisfied (61% of these evaluated prescribing and 39% evaluated medication monitoring). No consistent associations between patient or visit characteristics and suboptimal pharmacotherapy were identified in multivariable models. CONCLUSION: A substantial number of older adults discharged from the ED or UCC may be at risk for adverse events due to suboptimal prescribing and inadequate medication monitoring. Further study is needed to examine the relationship between suboptimal pharmacotherapy and adverse clinical outcomes. [ABSTRACT FROM AUTHOR]

Objective: To ascertain whether use of mechanical ventilation on admission to the hospital is a proxy indicator of coma (i.e., very severe stroke) among acute stroke patients.Methods: A secondary analysis of data from a medical record review on a nationally representative sample of 2,824 Medicare patients, ages 65 years or older, who were hospitalized for stroke in 1982-1983 or 1985-1986 in 297 acute care hospitals in 30 areas within five geographically dispersed states.Results: Use of mechanical ventilation on the first day of hospitalization was significantly associated with level of consciousness on admission: < 2 percent of noncomatose patients versus 17.5 percent of comatose (p < .001). With a high specificity and high likelihood ratio for a positive test, use of mechanical ventilation on the first day of hospitalization ruled-in coma. It was also significantly associated with severity of illness, prognostic indicators (i.e., admission through the emergency room, admission to intensive care, and having a "do-not-resuscitate" order written during the hospital stay), and with in-hospital death. Adjusting for patient demographics, stroke type, comorbidity, and process of care, early initiation of mechanical ventilation remained significantly associated with both coma and in-hospital death.Conclusions: A stroke patient's use of mechanical ventilation on the first day of hospitalization is a valid proxy indicator of level of consciousness. [ABSTRACT FROM AUTHOR]

Objectives: To develop a prognostic model for hospital admissions over a 1-year period among community-dwelling older adults with self-reported hearing and/or vision impairments based on readily obtainable clinical predictors., Design: Retrospective cohort study., Setting: Medicare Current Beneficiary Survey from 1999 to 2006., Participants: Community-dwelling Medicare beneficiaries, aged 65 years and older, with self-reported hearing and/or vision impairment (N = 15,999)., Measurements: The primary outcome was any hospital admission over a predefined 1-year study period. Candidate predictors included demographic factors, prior healthcare utilization, comorbidities, functional impairment, and patient-level factors. We analyzed the association of all candidate predictors with any hospital admission over the 1-year study period using multivariable logistic regression. The final model was created using a penalized regression method known as the least absolute shrinkage and selection operator. Model performance was assessed by discrimination (concordance statistic (c-statistic)) and calibration (evaluated graphically). Internal validation was performed via bootstrapping, and results were adjusted for overoptimism., Results: Of the 15,999 participants, the mean age was 78 years and 55% were female. A total of 2,567 participants (16.0%) had at least one hospital admission in the 1-year study period. The final model included seven variables independently associated with hospitalization: number of inpatient admissions in the previous year, number of emergency department visits in the previous year, activities of daily living difficulty score, poor self-rated health, and self-reported history of myocardial infarction, stroke, and nonskin cancer. The c-statistic of the final model was 0.717. The optimism-corrected c-statistic after bootstrap internal validation was 0.716. A calibration plot suggested that the model tended to overestimate risk among patients at the highest risk for hospitalization., Conclusion: This prognostic model can help identify which community-dwelling older adults with sensory impairments are at highest risk for hospitalization and may inform allocation of healthcare resources., (© 2020 The American Geriatrics Society.)

Objectives: To determine whether frail older adults, based on a deficit accumulation index (DAI), are at greater risk of adverse outcomes after discharge from the emergency department (ED)., Design and Setting: Secondary analysis of data from the Medicare Current Beneficiary Survey., Participants: One thousand eight hundred fifty-one community-dwelling Medicare fee-for-service enrollees, aged 65 and older who were discharged from the ED between January 2000 and September 2002., Measurements: The primary dependent variable was time to first adverse outcome, defined as repeat outpatient ED visit, hospital admission, nursing home admission, or death, within 30 days of the index ED visit., Results: Time to first adverse outcome was shortest in individuals with the highest number of accumulated deficits. The frailest participants were at greater risk of adverse outcomes after ED discharge than those who were least frail (hazard ratio (HR)=1.44, 95% confidence interval (CI)=1.06-1.96). The frailest individuals were also at higher risk of serious adverse outcomes, defined as hospitalization, nursing home admission, or death (HR=1.98, 95% CI=1.29-3.05). In contrast, no association was detected between degree of frailty and repeat outpatient ED visits within 30 days (HR=1.06, 95% CI=0.73-1.54)., Conclusion: The DAI as a construct of frailty was a robust predictor of serious adverse outcomes in the first 30 days after ED discharge. Frailty was not found to be a major determinant of repeat outpatient ED visits; therefore, additional study is needed to investigate this particular type of health service use by older adults.

Background: Older adults who are discharged from the emergency department (ED) may be at risk for subsequent adverse outcomes; however, this has not been fully investigated in national, population-based samples. The goal of this study was to determine the frequency and predictors of adverse outcomes among older adults discharged from the ED., Design: Secondary analysis of data from the Medicare Current Beneficiary Survey., Subjects: A total of 1851 community-dwelling, Medicare fee-for-service enrollees, >or=65 years old who were discharged from the ED between January 2000 and September 2002., Measures: The primary dependent variable was time to first adverse outcome defined as any repeat outpatient ED visit, hospital admission, nursing home admission or death within 90 days of the index ED visit., Results: Six hundred twenty-three of 1851 subjects (32.9%) discharged from the ED experienced an adverse outcome within 90 days of the index visit; 17.2% returned to the ED but were not admitted, 18.3% were hospitalized, 2.6% were admitted to a nursing home, and 4.1% died. Patients who were older [hazard ratios (HR), 1.01; confidence interval (CI), 1.00-1.02], with more chronic health conditions (HR, 1.12; CI, 1.07-1.19), Medicaid insurance (HR, 1.42; CI, 1.11-1.82), and recent ED (HR, 1.46; CI, 1.17-1.82) or hospital use (HR, 1.80; CI, 1.50-2.17) were at particularly high risk., Conclusions: A substantial proportion of older Medicare beneficiaries in this study experienced an adverse outcome after ED discharge. Further study is needed to determine whether simple prediction tools based on these identified risk factors may be useful in predicting adverse outcomes in this vulnerable population.

Background: An Emergency Department (ED) visit represents a time of significant risk for an older adult; however, little is known about adverse outcomes after an ED visit in the VA system., Objectives: 1) To describe the frequency and type of adverse health outcomes among older veterans discharged from the ED, and 2) To determine risk factors associated with adverse outcomes., Design: Retrospective, cohort study at an academically affiliated VA medical center., Patients: A total of 942 veterans > or = 65 years old discharged from the ED., Measurements and Main Results: Primary dependent variable was adverse outcome, defined as a repeat VA ED visit, hospitalization, and/or death within 90 days. Overall, 320 (34.0%) patients experienced an adverse outcome: 245 (26%) returned to the VA ED but were not admitted, 125 (13.3%) were hospitalized, and 23 (2.4%) died. In adjusted analyses, higher score on the Charlson Comorbidity Index (hazard ratio [HR] 1.11; 95% CI 1.03, 1.21), ED visit within the previous 6 months (HR 1.64; 95% CI 1.30, 2.06), hospitalization within the previous 6 months (HR 1.70, 95% CI 1.30, 2.22), and triage to the emergency unit (compared to urgent care clinic) (HR 1.76, 95% CI 1.32, 2.36) were independently associated with higher risk of adverse outcomes., Conclusion: More than 1 in 3 older veterans discharged from the ED experienced a significant adverse outcome within 90 days of ED discharge. Identifying veterans at greatest risk for adverse outcomes after ED discharge can inform the design and targeting of interventions to reduce morbidity and costs in this group.

Background: Adverse drug reactions (ADR) negatively impact life quality and are sometimes fatal. This study examines the incidence and predictors of all and preventable ADRs in frail elderly persons after hospital discharge, a highly vulnerable but rarely studied population., Methods: The design was a prospective cohort study involving 808 frail elderly persons who were discharged from 11 Veteran Affairs hospitals to outpatient care. The main outcome measure was number of ADRs per patient as determined by blinded geriatrician and geropharmacist pairs using Naranjo's ADR algorithm. For all ADRs (possible, probable, or definite), preventability was assessed. Discordances were resolved by consensus conferences., Results: Overall, 33% of patients had one or more ADRs for a rate of 1.92 per 1000 person-days of follow-up. The rate for preventable ADRs was 0.71 per 1000 person-days of follow-up. Independent risk factors for all ADRs were number of medications (adjusted [Adj.] hazard ratio [HR], 1.07; 95% confidence interval [CI], 1.05-1.10 per medication), use of warfarin (Adj. HR, 1.51; 95% CI, 1.22-1.87), and (marginally) the use of benzodiazepines (Adj. HR, 1.23; 95% CI, 0.95-1.58). Counterintuitively, use of sedatives and/or hypnotics was inversely related to ADR risk (Adj. HR, 0.14; 95% CI, 0.04-0.57). Similar trends were seen for number of medications and warfarin use as predictors of preventable ADRs., Conclusions: ADRs are very common in frail elderly persons after hospital stay, and polypharmacy and warfarin use consistently increase the risk of ADRs.

Elderly minorities are more likely to die in inpatient settings than their Caucasian counterparts. It is not known whether this difference is due to cultural preferences for place of death or decreased access to hospice. This analysis examines ethnic differences in the place of death of elderly hospice patients. Using data from a large, national hospice provider, elderly (> or = 65) African-American, Hispanic, and Caucasian decedents admitted to hospice between January 1, 2000, and December 31, 2003, were identified. Of the 115,854 eligible decedents, 78.3% were Caucasian, 10.7% African American, and 11% Hispanic. Hispanics and African Americans were more likely to die in inpatient hospice settings than Caucasians (38.5%, 38.5%, and 32%, respectively). After adjustment for demographic and hospice use variables, older African Americans had higher odds than older Caucasians of dying in an inpatient hospice setting than a nursing home (odds ratio (OR)=1.12, 95% confidence interval (CI)=1.07-1.19). However, African-American ethnicity was not a significant predictor of death in an inpatient setting versus home (OR=1.03, 95% CI=0.97-1.08)). Hispanics had lower odds than Caucasians of death in an inpatient hospice setting than at home (OR=0.88, 95% CI=0.84, 0.93) and higher odds of death in an inpatient setting than a nursing home (OR=1.45, 95% CI=1.37-1.53). Admission to hospice reduces but does not eliminate ethnic differences in place of death. Further research should examine the effect of individual and cultural preferences for place of death on decisions to enroll in hospice.

Background: Determining the nature and rate of change in physical function among long-stay nursing home (NH) residents classified by cognitive performance is needed to inform judgments about prognosis and design of clinical trials to minimize functional decline., Methods: The study consisted of a longitudinal analysis using random coefficients models of 71,388 noncomatose residents aged 65 and older admitted in one of five states participating in the Health Care Financing Administration-sponsored National Case Mix and Quality Demonstration Project who stayed in the nursing home 1 year or longer. Linear effects of cognitive impairment on admission and over time on the trajectory of dependence in activities of daily living (ADLs) were estimated, adjusting for demographic status upon admission. Interaction terms were used to determine if subgroups of residents at the same cognitive level were at risk for a steeper than average rate of decline. Measures were derived from the NH Minimum Data Set (MDS+) ratings of each domain. Cognition was measured using the MDS-Cognitive Performance Scale. Physical function was determined by summing ADL dependence ratings of bathing, dressing, grooming, toileting, and eating (range 0 to 20). Demographics included age, gender, race, and marital status., Results: On average, ADL dependence worsened 0.84 points per year among these long-stay residents. Only cognition and marital status had clinically significant effects on ADL dependence. Married residents exhibited more ADL dependence than unmarried residents. Severity of cognitive impairment on admission and over time influenced severity of ADL dependence but not rate of decline. No interaction terms were clinically significant., Conclusions: Clinicians seeking to identify factors that accelerate ADL decline in long-stay NH residents must examine explanatory variables other than cognitive impairment and demographics.