Longitudinal Associations between Concurrent Changes in Phenotypic Frailty and Lower Urinary Tract Symptoms among Older Men.

BACKGROUND: Lower urinary tract symptoms (LUTS) are associated with prevalent frailty and functional impairment, but longitudinal associations remain unexplored. OBJECTIVES: To assess the association of change in phenotypic frailty with concurrent worsening LUTS severity among older men without clinically significant LUTS at baseline. DESIGN: Multicenter, prospective cohort study. SETTING: Population-based. PARTICIPANTS: Participants included community-dwelling men age ≥65 years at enrollment in the Osteoporotic Fractures in Men study. MEASUREMENTS: Data were collected at 4 visits over 7 years. Phenotypic frailty score (range: 0-5) was defined at each visit using adapted Fried criterion and men were categorized at baseline as robust (0), pre-frail (1-2), or frail (3-5). Within-person change in frailty was calculated at each visit as the absolute difference in number of criteria met compared to baseline. LUTS severity was defined using the American Urologic Association Symptom Index (AUASI; range: 0-35) and men with AUASI ≥8 at baseline were excluded. Linear mixed effects models were adjusted for demographics, health-behaviors, and comorbidities to quantify the association between within-person change in frailty and AUASI. RESULTS: Among 3235 men included in analysis, 48% were robust, 45% were pre-frail, and 7% were frail. Whereas baseline frailty status was not associated with change in LUTS severity, within-person increases in frailty were associated with greater LUTS severity (quadratic P<0.001). Among robust men at baseline, mean predicted AUASI during follow-up was 4.2 (95% CI 3.9, 4.5) among those meeting 0 frailty criteria, 4.6 (95% CI 4.3, 4.9) among those meeting 1 criterion increasing non-linearly to 11.2 (95% CI 9.8, 12.6) among those meeting 5 criteria. CONCLUSIONS: Greater phenotypic frailty was associated with non-linear increases in LUTS severity in older men over time, independent of age and comorbidities. Results suggest LUTS and frailty share an underlying mechanism that is not targeted by existing LUTS interventions.

A multiyear cross-sectional study of U.S. national prescribing patterns of first-generation sedating antihistamines in older adults with skin disease.

BACKGROUND: First-generation antihistamines (FGAs) are classified as 'potentially inappropriate' for use in older patients (patients aged ≥ 65 years). However, the prevalence of and factors associated with FGA prescription have not been studied. OBJECTIVES: To examine FGA prescription rates for older patients who visited dermatology offices, and compare them to those for younger patients (patients aged 18-65 years) who visited dermatology offices and those for older patients who visited primary-care physicians (PCPs). METHODS: This was a multiyear cross-sectional observational study using data from the U.S. National Ambulatory Medical Care Survey (2006-2015). Visits by patients aged 18 years or older were included in the study; the data comprised 15 243 dermatology office visits and 66 036 PCP office visits. The main outcome was FGA prescription. Other variables included physician specialty (dermatologist or PCP), patient's age, diagnosis of dermatological conditions and reason for visit. RESULTS: For dermatology visits, the overall FGA prescription rate for older patients was similar to that for younger patients (1·5% vs. 1·2%; P = 0·19), even when the diagnosis was dermatitis or pruritus (3·7% vs. 4·8%; P = 0·21) or when itch was a complaint (7·6% vs. 6·7%; P = 0·64). However, the rate of FGA prescription for dermatology visits was lower than that for PCP visits, in analyses matched for patient and visit characteristics (3·9% vs. 7·4%; P = 0·02). CONCLUSIONS: Our findings suggest that FGAs are overprescribed to older patients but that dermatologists are less likely to prescribe FGAs than PCPs. What's already known about this topic? First-generation antihistamines (FGAs) have been shown to pose substantial risks to older adults, including cognitive impairment, falls, confusion, dry mouth and constipation. Therefore, FGAs have been classified as 'potentially inappropriate' for use in older patients by the American Geriatrics Society. It has also been shown that dermatologists do not always take patient characteristics (e.g. age or life expectancy) into account when deciding on a treatment, instead following a 'one-size-fits-all' approach. What does this study add? FGAs are often prescribed during dermatology visits, and prescription rates do not differ between older and younger patients. There were no significant differences in prescription rates when comparing younger and older adults with the same diagnosis or symptom (e.g. dermatitis, pruritus or itch). FGAs are prescribed at higher rates in primary-care offices than in dermatology offices.

A 10-min Targeted Geriatric Assessment Predicts Mortality in Fast-Paced Acute Care Settings: A Prospective Cohort Study.

OBJECTIVES: To estimate whether a 10-minute Targeted Geriatric Assessment (10-TaGA) adds utility to sociodemographic characteristics and comorbidities in predicting one-year mortality in busy acute care settings. We have also compared the performance of 10-TaGA with the Identification of Seniors at Risk (ISAR) scale. DESIGN: Prospective cohort study. SETTING: Geriatric day hospital specializing in acute care in Brazil. PARTICIPANTS: 751 older adults aged 79.4 ± 8.4 years (64% female), presenting non-surgical, medical illness requiring hospital-level care (e.g., intravenous therapy, laboratory test, radiology) for ≤ 12 hours. MEASUREMENTS: The 10-TaGA, an easy-to-administer screening tool based on the comprehensive geriatric assessment (CGA), provided a measure of cumulative deficits ranging from 0 (no deficits) to 1 (highest deficit) on admission. Standard risk factors, including sociodemographics (age, gender, ethnicity, income) and the Charlson comorbidity index, were evaluated. The ISAR, a well-validated screening tool, was used for comparison. RESULTS: During one year of follow-up, 130 (17%) participants died. Compared to the ISAR, 10-TaGA offered better accuracy in identifying older patients at risk of death (area under the receiver operating characteristic curve: [AUC] 0.70 vs 0.65; P = 0.03). In a Cox regression model adjusted for sociodemographics and comorbidities, each 0.1 increment in the 10-TaGA score (range 0-1) was associated with increased mortality (hazard ratio = 1.42, 95% confidence interval 1.27-1.59). The addition of 10-TaGA markedly improved the discrimination of the model, which already incorporated standard risk factors (AUC 0.76 vs 0.71; P = 0.005); adding ISAR (AUC 0.73 vs 0.71; P = 0.09) did not have this marked effect. CONCLUSION: The 10-TaGA is an independent predictor of one-year mortality in acute care patients. This multidimensional screening tool offers better accuracy than ISAR when differentiating between older people at low and high risk of death in healthcare settings where providers have limited time and resources.

Frailty predicts waitlist mortality in liver transplant candidates.

We aimed to determine whether frailty, a validated geriatric construct of increased vulnerability to physiologic stressors, predicts mortality in liver transplant candidates. Consecutive adult outpatients listed for liver transplant with laboratory Model for End-Stage Liver Disease (MELD) ≥ 12 at a single center (97% recruitment rate) underwent four frailty assessments: Fried Frailty, Short Physical Performance Battery (SPPB), Activities of Daily Living (ADL) and Instrumental ADL (IADL) scales. Competing risks models associated frailty with waitlist mortality (death/delisting for being too sick for liver transplant). Two hundred ninety-four listed liver transplant patients with MELD ≥ 12, median age 60 years and MELD 15 were followed for 12 months. By Fried Frailty score ≥3, 17% were frail; 11/51 (22%) of the frail versus 25/243 (10%) of the not frail died/were delisted (p = 0.03). Each 1-unit increase in the Fried Frailty score was associated with a 45% (95% confidence interval, 4-202) increased risk of waitlist mortality adjusted for MELD. Similarly, the adjusted risk of waitlist mortality associated with each 1-unit decrease (i.e. increasing frailty) in the Short Physical Performance Battery (hazard ratio 1.19, 95% confidence interval 1.07-1.32). Frailty is prevalent in liver transplant candidates. It strongly predicts waitlist mortality, even after adjustment for liver disease severity demonstrating the applicability and importance of the frailty construct in this population.

Towards a combined prognostic index for survival in HIV infection: the role of 'non-HIV' biomarkers.

BACKGROUND: As those with HIV infection live longer, 'non-AIDS' condition associated with immunodeficiency and chronic inflammation are more common. We ask whether 'non-HIV' biomarkers improve differentiation of mortality risk among individuals initiating combination antiretroviral therapy (cART). METHODS: Using Poisson models, we analysed data from the Veterans Aging Cohort Study (VACS) on HIV-infected veterans initiating cART between 1 January 1997 and 1 August 2002. Measurements included: HIV biomarkers (CD4 cell count, HIV RNA and AIDS-defining conditions); 'non-HIV' biomarkers (haemoglobin, transaminases, platelets, creatinine, and hepatitis B and C serology); substance abuse or dependence (alcohol or drug); and age. Outcome was all cause mortality. We tested the discrimination (C statistics) of each biomarker group alone and in combination in development and validation data sets, over a range of survival intervals, and adjusting for missing data. RESULTS: Of veterans initiating cART, 9784 (72%) had complete data. Of these, 2566 died. Subjects were middle-aged (median age 45 years), mainly male (98%) and predominantly black (51%). HIV and 'non-HIV' markers were associated with each other (P < 0.0001) and discriminated mortality (C statistics 0.68-0.73); when combined, discrimination improved (P < 0.0001). Discrimination for the VACS Index was greater for shorter survival intervals [30-day C statistic 0.86, 95% confidence interval (CI) 0.80-0.91], but good for intervals of up to 8 years (C statistic 0.73, 95% CI 0.72-0.74). Results were robust to adjustment for missing data. CONCLUSIONS: When added to HIV biomarkers, 'non-HIV' biomarkers improve differentiation of mortality. When evaluated over similar intervals, the VACS Index discriminates as well as other established indices. After further validation, the VACS Index may provide a useful, integrated risk assessment for management and research.

Predicting risk of dementia in older adults: The late-life dementia risk index.

OBJECTIVE: To develop a late-life dementia risk index that can accurately stratify older adults into those with a low, moderate, or high risk of developing dementia within 6 years. METHODS: Subjects were 3,375 participants in the Cardiovascular Health Cognition Study without evidence of dementia at baseline. We used logistic regression to identify those factors most predictive of developing incident dementia within 6 years and developed a point system based on the logistic regression coefficients. RESULTS: Subjects had a mean age of 76 years at baseline; 59% were women and 15% were African American. Fourteen percent (n = 480) developed dementia within 6 years. The final late-life dementia risk index included older age (1-2 points), poor cognitive test performance (2-4 points), body mass index <18.5 (2 points), > or =1 apolipoprotein E epsilon4 alleles (1 point), cerebral MRI findings of white matter disease (1 point) or ventricular enlargement (1 point), internal carotid artery thickening on ultrasound (1 point), history of bypass surgery (1 point), slow physical performance (1 point), and lack of alcohol consumption (1 point) (c statistic, 0.81; 95% confidence interval, 0.79-0.83). Four percent of subjects with low scores developed dementia over 6 years compared with 23% of subjects with moderate scores and 56% of subjects with high scores. CONCLUSIONS: The late-life dementia risk index accurately stratified older adults into those with low, moderate, and high risk of developing dementia. This tool could be used in clinical or research settings to target prevention and intervention strategies toward high-risk individuals.

When to refer patients with chronic kidney disease for vascular access surgery: should age be a consideration?

To determine whether age should inform our approach toward permanent vascular access placement in patients with chronic kidney disease, we conducted a retrospective cohort study among 11 290 non-dialysis patients with an estimated glomerular filtration rate (eGFR) <25 ml/min/1.73 m(2) based on 2000-2001 outpatient creatinine measurements in the Department of Veterans Affairs. For each age group, we examined the percentage of patients that had and had not received a permanent access by 1 year after cohort entry, and the percentage in each of these groups that died, started dialysis, or survived without dialysis. We also modeled the number of unnecessary procedures that would have occurred in theoretical scenarios based on existing vascular access guidelines. The mean eGFR was 17.7 ml/min/1.73 m(2) at cohort entry. Twenty-five percent (n=2870) of patients initiated dialysis within a year of cohort entry. Among these, only 39% (n=1104) had undergone surgery to place a permanent access beforehand. As compared with younger patients, older patients were less likely to undergo permanent access surgery, but also less likely to start dialysis. In all theoretical scenarios examined, older patients would have been more likely than younger patients to receive unnecessary procedures. If all patients had been referred for permanent access surgery at cohort entry, the ratio of unnecessary to necessary procedures after 2 years of follow-up would have been 5:1 for patients aged 85-100 years but only 0.5:1 for those aged 18-44 years. Currently recommended approaches to permanent access placement based on a single threshold level of renal function for patients of all ages are not appropriate.

Justification for a new cohort study of people aging with and without HIV infection.

This supplement contains a series of papers supporting the justification, design, and implementation of a longitudinal cohort study of an aging HIV-positive and HIV-negative veteran population called the Veterans Aging Cohort Study (VACS). Although the papers cover a wide range of topics and several papers address methodologic issues not unique to a study of aging veterans, all are motivated by a unifying set of assumptions. Specifically: (a) HIV/AIDS is a chronic disease in an aging population; (b) conditions among HIV-positive and -negative patients in care have overlapping etiologies; (c) individuals with pre-existing organ injury are at increased risk for iatrogenic injury; (d) cohort studies are uniquely suited to the study of chronic disease complicated by aging, comorbid conditions, drug toxicities, and substance use/abuse; (e) VACS is well positioned to study HIV as a chronic disease in an aging population.

Screening mammography for frail older women: what are the burdens?

OBJECTIVE: The potential benefits and harms of screening mammography in frail older women are unknown. Therefore, we studied the outcomes of a screening mammography policy that was instituted in a population of community-living nursing home-eligible women as a result of requirements of state auditors. We focused on the potential burdens that may be experienced. METHODS: Between January 1995 and December 1997, we identified 216 consecutive women who underwent screening mammography after enrolling in a program designed to provide comprehensive care to nursing home-eligible patients who wished to stay at home. Mammograms were performed at 4 radiology centers. From computerized medical records, we tracked each woman through September 1999 for performance and results of mammography, additional breast imaging and biopsies, documentation of psychological reactions to screening, as well as vital status. Mean follow-up was 2.6 years. RESULTS: The mean age of the 216 women was 81 years. Sixty-three percent were Asian, 91% were dependent in at least 1 activity of daily living, 49% had cognitive impairment, and 11% died within 2 years. Thirty-eight women (18%) had abnormal mammograms requiring further work-up. Of these women, 6 refused work-up, 28 were found to have false-positive mammograms after further evaluation, 1 was diagnosed with ductal carcinoma in situ (DCIS), and 3 were diagnosed with local breast cancer. The woman diagnosed with DCIS and 1 woman diagnosed with breast cancer were classified as not having benefited, because screening identified clinically insignificant disease that would not have caused symptoms in the women's lifetimes, since these women died of unrelated causes within 2 years of diagnosis. Therefore, 36 women (17%; 95% confidence interval [CI], 12 to 22) experienced burden from screening mammography (28 underwent work-up for false-positive mammograms, 6 refused further work-up of an abnormal mammogram, and 2 had clinically insignificant cancers identified and treated). Forty-two percent of these women had chart-documented pain or psychological distress as a result of screening. Two women (0.9%; 95% CI, 0 to 2) may have received benefit from screening mammography. CONCLUSION: We conclude that screening mammography in frail older women frequently necessitates work-up that does not result in benefit, raising questions about policies that use the rate of screening mammograms as an indicator of the quality of care in this population. Encouraging individualized decisions may be more appropriate and may allow screening to be targeted to older women for whom the potential benefit outweighs the potential burdens.

Reduced employment in caregivers of frail elders: impact of ethnicity, patient clinical characteristics, and caregiver characteristics.

BACKGROUND: Without family caregivers, many frail elders who live at home would require nursing home care. However, providing care to frail elders requires a large time commitment that may interfere with the caregiver's ability to work. Our goal was to determine the patient and caregiver characteristics associated with the reduction of employment hours in caregivers of frail elders. METHODS: This was a cross-sectional study of 2806 patients (mean age 78, 73% women, 29% African American, 12% Hispanic, 54% with dementia) with at least one potentially working caregiver (defined as one who is either currently employed or who would have been employed if they had not been providing care) and their 4592 potentially working caregivers. Patients were enrollees at 11 sites of the Program of All-Inclusive Care for the Elderly (PACE). Social workers interviewed patients and caregivers at the time of PACE enrollment. Caregivers were asked if they had reduced the hours they worked or had stopped working to care for the patient. Nurses interviewed patients and caregivers to assess independence in activities of daily living (ADLs) and the presence of behavioral disturbances. Comorbid conditions were assessed by physicians during enrollment examinations. RESULTS: A total of 604 (22%) of the 2806 patients had at least one caregiver who either reduced the number of hours they worked or quit working to care for the patient. Patient characteristics independently associated with a caregiver reducing hours or quitting work were ethnicity, 95% confidence interval [CI] 1.14-1.78 for African American;, 95% CI 1.43-2.52 for Hispanic), ADL function below the median (, 95% CI 1.44-2.15), a diagnosis of dementia (, 95% -2.17 if associated with a behavioral disturbance;, 95% CI 1.06-1.63 if not associated with a behavioral disturbance), or a history of stroke (OR = 1.42, 95% CI 1.16-1.73). After controlling for these patient characteristics, caregiver characteristics associated with reducing work hours included being the daughter or daughter-in-law of the patient (OR = 1.69, 95% CI 1.37-2.08) and living with the patient (OR = 4.66, 95% CI 3.65-5.95 if no other caregiver lived at home, OR = 2.53, 95% CI 2.03-3.14 if another caregiver lived at home). CONCLUSIONS: Many caregivers reduce the number of hours they work to care for frail elderly relatives. The burden of reduced employment is more likely to be incurred by the families of ethnic minorities and of patients with specific clinical characteristics. Daughters and caregivers who live with the patient are more likely to reduce work hours than other caregivers. Future research should examine the impact of lost caregiver employment on patients' families and the ways in which the societal responsibility of caring for frail elders can be equitably shared.

A prospective study of physical activity and cognitive decline in elderly women: women who walk.

BACKGROUND: Several studies have suggested that physical activity is positively associated with cognitive function in elderly persons. Evidence about this association has been limited by the cross-sectional design of most studies and by the frequent lack of adjustment for potential confounding variables. We determined whether physical activity is associated with cognitive decline in a prospective study of older women. METHODS: We studied 5925 predominantly white community-dwelling women (aged > or =65 years) who were recruited at 4 clinical centers and were without baseline cognitive impairment or physical limitations. We measured cognitive performance using a modified Mini-Mental State Examination at baseline and 6 to 8 years later. Physical activity was measured by self-reported blocks (1 block approximately 160 m) walked per week and by total kilocalories (energy) expended per week in recreation, blocks walked, and stairs climbed. Cognitive decline was defined as a 3-point decline or greater on repeated modified Mini-Mental State Examination. RESULTS: Women with a greater physical activity level at baseline were less likely to experience cognitive decline during the 6 to 8 years of follow-up: cognitive decline occurred in 17%, 18%, 22%, and 24% of those in the highest, third, second, and lowest quartile of blocks walked per week (P< .001 for trend). Almost identical results were obtained by quartile of total kilocalories expended per week. After adjustment for age, educational level, comorbid conditions, smoking status, estrogen use, and functional limitation, women in the highest quartile remained less likely than women in the lowest quartile to develop cognitive decline (for blocks walked: odds ratio, 0.66 [95% confidence interval, 0.54-0.82]; for total kilocalories: odds ratio, 0.74 [95% confidence interval, 0.60-0.90]). CONCLUSIONS: Women with higher levels of baseline physical activity were less likely to develop cognitive decline. This association was not explained by differences in baseline function or health status. This finding supports the hypothesis that physical activity prevents cognitive decline in older community-dwelling women.

Development and validation of a prognostic index for 1-year mortality in older adults after hospitalization.

CONTEXT: For many elderly patients, an acute medical illness requiring hospitalization is followed by a progressive decline, resulting in high rates of mortality in this population during the year following discharge. However, few prognostic indices have focused on predicting posthospital mortality in older adults. OBJECTIVE: To develop and validate a prognostic index for 1 year mortality of older adults after hospital discharge using information readily available at discharge. DESIGN: Data analyses derived from 2 prospective studies with 1-year of follow-up, conducted in 1993 through 1997. SETTING AND PATIENTS: We developed the prognostic index in 1495 patients aged at least 70 years who were discharged from a general medical service at a tertiary care hospital (mean age, 81 years; 67% female) and validated it in 1427 patients discharged from a separate community teaching hospital (mean age, 79 years; 61% female). MAIN OUTCOME MEASURE: Prediction of 1-year mortality using risk factors such as demographic characteristics, activities of daily living (ADL) dependency, comorbid conditions, length of hospital stay, and laboratory measurements. RESULTS: In the derivation cohort, 6 independent risk factors for mortality were identified and weighted using logistic regression: male sex (1 point); number of dependent ADLs at discharge (1-4 ADLs, 2 points; all 5 ADLs, 5 points); congestive heart failure (2 points); cancer (solitary, 3 points; metastatic, 8 points); creatinine level higher than 3.0 mg/dL (265 micromol/L) (2 points); and low albumin level (3.0-3.4 g/dL, 1 point; <3.0 g/dL, 2 points). Several variables associated with 1-year mortality in bivariable analyses, such as age and dementia, were not independently associated with mortality after adjustment for functional status. We calculated risk scores for patients by adding the points of each independent risk factor present. In the derivation cohort, 1-year mortality was 13% in the lowest-risk group (0-1 point), 20% in the group with 2 or 3 points, 37% in the group with 4 to 6 points, and 68% in the highest-risk group (>6 points). In the validation cohort, 1-year mortality was 4% in the lowest-risk group, 19% in the group with 2 or 3 points, 34% in the group with 4 to 6 points, and 64% in the highest-risk group. The area under the receiver operating characteristic curve for the point system was 0.75 in the derivation cohort and 0.79 in the validation cohort. CONCLUSIONS: Our prognostic index, which used 6 risk factors known at discharge and a simple additive point system to stratify medical patients 70 years or older according to 1-year mortality after hospitalization, had good discrimination and calibration and generalized well in an independent sample of patients at a different site. These characteristics suggest that our index may be useful for clinical care and risk adjustment.

Cancer screening in elderly patients: a framework for individualized decision making.

Considerable uncertainty exists about the use of cancer screening tests in older people, as illustrated by the different age cutoffs recommended by various guideline panels. We suggest that a framework to guide individualized cancer screening decisions in older patients may be more useful to the practicing clinician than age guidelines. Like many medical decisions, cancer screening decisions require weighing quantitative information, such as risk of cancer death and likelihood of beneficial and adverse screening outcomes, as well as qualitative factors, such as individual patients' values and preferences. Our framework first anchors decisions through quantitative estimates of life expectancy, risk of cancer death, and screening outcomes based on published data. Potential benefits of screening are presented as the number needed to screen to prevent 1 cancer-specific death, based on the estimated life expectancy during which a patient will be screened. Estimates reveal substantial variability in the likelihood of benefit for patients of similar ages with varying life expectancies. In fact, patients with life expectancies of less than 5 years are unlikely to derive any survival benefit from cancer screening. We also consider the likelihood of potential harm from screening according to patient factors and test characteristics. Some of the greatest harms of screening occur by detecting cancers that would never have become clinically significant. This becomes more likely as life expectancy decreases. Finally, since many cancer screening decisions in older adults cannot be answered solely by quantitative estimates of benefits and harms, considering the estimated outcomes according to the patient's own values and preferences is the final step for making informed screening decisions.

History and mobility exam index to identify community-dwelling elderly persons at risk of falling.

BACKGROUND: Falls are common in community-dwelling elderly persons and are a frequent source of morbidity. Simple indices to prospectively stratify people into categories at different fall-risk would be useful to health care practitioners. Our goal was to develop a fall-risk index that discriminated between people at high and low risk of falling. METHODS: We evaluated the risk of falling over a one-year period in 557 elderly persons (mean age 81.6) living in a retirement community. On the baseline interview, we asked subjects if they had fallen in the previous year and evaluated risk factors in six additional conceptual categories. On the follow-up interview one year later, we again asked subjects if they had fallen in the prior year. We evaluated risk factors in the different conceptual categories and used logistic regression to determine the independent predictors of falling over a one-year period. We used these independent predictors to create a fall-risk index. We compared the ability of a prior falls history with other risk factors and with the combination of a falls history and other risk factors to discriminate fallers from nonfallers. RESULTS: A fall in the previous year (OR = 2.42, 95% CI = 1.49-3.93), a symptom of either balance difficulty or dizziness (OR = 1.83, 95% CI = 1.16-2.89), or an abnormal mobility exam (OR = 2.64, 95% CI = 1.64-4.26) were independent predictors of falling over the subsequent year. These three risk factors together (c statistic =.71) discriminated fallers from nonfallers better than previous history of falls alone (c statistic =.61) or the symptomatic and exam risk factors alone (c statistic =.68). When combined into a risk index, the three independent risk factors stratify people into groups whose risk for falling over the subsequent year ranges from 10% to 51%. CONCLUSION: A history of falling over the prior year, a risk factor that can be obtained from a clinical history (balance difficulty or dizziness), and a risk factor that can be obtained from a physical exam (mobility difficulty) stratify people into groups at low and high risk of falling over the subsequent year. This risk index may provide a simple method of assessing fall risk in community-dwelling elderly persons. However, it requires validation in other subjects before it can be recommended for widespread use.

Self-restriction of medications due to cost in seniors without prescription coverage.

OBJECTIVE: Little is known about patients who skip doses or otherwise avoid using their medications because of cost. We sought to identify which elderly patients are at highest risk of restricting their medications because of cost, and how prescription coverage modifies this risk. DESIGN AND PARTICIPANTS: Cross-sectional study from the 1995-1996 wave of the Survey of Asset and Health Dynamics Among the Oldest Old, a population-based survey of Americans age 70 years and older. MEASUREMENTS: Subjects were asked the extent of their prescription coverage, and whether they had taken less medicine than prescribed for them because of cost over the prior 2 years. We used bivariate and multivariate analyses to identify risk factors for medication restriction in subjects who lacked prescription coverage. Among these high-risk groups, we then examined the effect of prescription coverage on rates of medication restriction. MAIN RESULTS: Of 4,896 seniors who regularly used prescription medications, medication restriction because of cost was reported by 8% of subjects with no prescription coverage, 3% with partial coverage, and 2% with full coverage (P <.01 for trend). Among subjects with no prescription coverage, the strongest independent predictors of medication restriction were minority ethnicity (odds ratio [OR], 2.9 compared with white ethnicity; 95% confidence interval [95% CI], 2.0 to 4.2), annual income <$10,000 (OR, 3.8 compared with income > or =$20,000; 95% CI, 2.4 to 6.1), and out-of-pocket prescription drug costs >$100 per month (OR, 3.3 compared to costs < or =$20; 95% CI, 1.5 to 7.2). The prevalence of medication restriction in members of these 3 risk groups was 21%, 16%, and 13%, respectively. Almost half (43%) of subjects with all 3 risk factors and no prescription coverage reported restricting their use of medications. After multivariable adjustment, high-risk subjects with no coverage had 3 to 15 times higher odds of medication restriction than subjects with partial or full coverage (P <.01). CONCLUSIONS: Medication restriction is common in seniors who lack prescription coverage, particularly among certain vulnerable groups. Seniors in these high-risk groups who have prescription coverage are much less likely to restrict their use of medications.

Effects of a multicomponent intervention on functional outcomes and process of care in hospitalized older patients: a randomized controlled trial of Acute Care for Elders (ACE) in a community hospital.

BACKGROUND: Older persons frequently experience a decline in function following an acute medical illness and hospitalization. OBJECTIVE: To test the hypothesis that a multicomponent intervention, called Acute Care for Elders (ACE), will improve functional outcomes and the process of care in hospitalized older patients. DESIGN: Randomized controlled trial. SETTING: Community teaching hospital. PATIENTS: A total of 1,531 community-dwelling patients, aged 70 or older, admitted for an acute medical illness between November 1994 and May 1997. INTERVENTION: ACE includes a specially designed environment (with, for example, carpeting and uncluttered hallways); patient-centered care, including nursing care plans for prevention of disability and rehabilitation; planning for patient discharge to home; and review of medical care to prevent iatrogenic illness. MEASUREMENTS: The main outcome was change in the number of independent activities of daily living (ADL) from 2 weeks before admission (baseline) to discharge. Secondary outcomes included resource use, implementation of orders to promote function, and patient and provider satisfaction. RESULTS: Self-reported measures of function did not differ at discharge between the intervention and usual care groups by intention-to-treat analysis. The composite outcome of ADL decline from baseline or nursing home placement was less frequent in the intervention group at discharge (34% vs 40%; P = .027) and during the year following hospitalization (P = .022). There were no significant group differences in hospital length of stay and costs, home healthcare visits, or readmissions. Nursing care plans to promote independent function were more often implemented in the intervention group (79% vs 50%; P = .001), physical therapy consults were obtained more frequently (42% vs 36%; P = .027), and restraints were applied to fewer patients (2% vs 6%; P = .001). Satisfaction with care was higher for the intervention group than the usual care group among patients, caregivers, physicians, and nurses (P < .05). CONCLUSIONS: ACE in a community hospital improved the process of care and patient and provider satisfaction without increasing hospital length of stay or costs. A lower frequency of the composite outcome ADL decline or nursing home placement may indicate potentially beneficial effects on patient outcomes.