Factor structure of the Harmonized Cognitive Assessment Protocol neuropsychological battery in the Health and Retirement Study.

OBJECTIVE: The Harmonized Cognitive Assessment Protocol (HCAP) describes an assessment battery and a family of population-representative studies measuring neuropsychological performance. We describe the factorial structure of the HCAP battery in the US Health and Retirement Study (HRS). METHOD: The HCAP battery was compiled from existing measures by a cross-disciplinary and international panel of researchers. The HCAP battery was used in the 2016 wave of the HRS. We used factor analysis methods to assess and refine a theoretically driven single and multiple domain factor structure for tests included in the HCAP battery among 3,347 participants with evaluable performance data. RESULTS: For the eight domains of cognitive functioning identified (orientation, memory [immediate, delayed, and recognition], set shifting, attention/speed, language/fluency, and visuospatial), all single factor models fit reasonably well, although four of these domains had either 2 or 3 indicators where fit must be perfect and is not informative. Multidimensional models suggested the eight-domain model was overly complex. A five-domain model (orientation, memory delayed and recognition, executive functioning, language/fluency, visuospatial) was identified as a reasonable model for summarizing performance in this sample (standardized root mean square residual = 0.05, root mean square error of approximation = 0.05, confirmatory fit index = 0.94). CONCLUSIONS: The HCAP battery conforms adequately to a multidimensional structure of neuropsychological performance. The derived measurement models can be used to operationalize notions of neurocognitive impairment, and as a starting point for prioritizing pre-statistical harmonization and evaluating configural invariance in cross-national research.

The Mode Effect of Web-Based Surveying on the 2018 U.S. Health and Retirement Study Measure of Cognitive Functioning.

OBJECTIVES: Measuring cognition in an aging populabtion is a public health priority. A move towards survey measurement via the web (as opposed to phone or in-person) is cost-effective but challenging as it may induce bias in cognitive measures. We examine this possibility using an experiment embedded in the 2018 wave of data collection for the U.S. Health and Retirement Study (HRS). METHODS: We utilize techniques from multiple group item response theory to assess the effect of survey mode on performance on the HRS cognitive measure. We also study the problem of attrition by attempting to predict dropout and via approaches meant to minimize bias in subsequent inferences due to attrition. RESULTS: We find evidence of an increase in scores for HRS respondents who are randomly assigned to the web-based mode of data collection in 2018. Web-based respondents score higher in 2018 than experimentally matched phone-based respondents, and they show much larger gains relative to 2016 performance and subsequently larger declines in 2020. The differential in favor of web-based responding is observed across all items, but is most pronounced for the Serial 7 task and numeracy items. Due to the relative ease of the web-based mode, we suggest a cutscore of 12 being used to indicate CIND (cognitively impaired but not demented) status when using the web-based version rather than 11. DISCUSSION: The difference in mode may be nonignorable for many uses of the HRS cognitive measure. In particular, it may require reconsideration of some cutscore-based approaches to identify impairment.

Estimating the Prevalence of Dementia and Mild Cognitive Impairment in the US: The 2016 Health and Retirement Study Harmonized Cognitive Assessment Protocol Project.

Importance: Nationally representative data are critical for understanding the causes, costs, and outcomes associated with dementia and mild cognitive impairment (MCI) in the US and can inform policies aimed at reducing the impact of these conditions on patients, families, and public programs. The nationally representative Health and Retirement Study (HRS) is an essential resource for such data, but the HRS substudy providing dementia diagnostic information was fielded more than 20 years ago and more recent data are needed. Objective: The Harmonized Cognitive Assessment Protocol (HCAP) was developed to update national estimates of the prevalence of MCI and dementia in the US and examine differences by age, race, ethnicity, and sex. Design, Setting, and Participants: HRS is an ongoing longitudinal nationally representative study of people 51 years and older with staggered entry dates from 1992 to 2022 and follow-up ranging from 4 to 30 years. HCAP is a cross-sectional random sample of individuals in HRS who were 65 years or older in 2016. Of 9972 age-eligible HRS participants, 4425 were randomly selected for HCAP, and 3496 completed a comprehensive neuropsychological test battery and informant interview, none of whom were excluded. Dementia and MCI were classified using an algorithm based on standard diagnostic criteria and comparing test performance to a robust normative sample. Exposures: Groups were stratified by age, sex, education, race, and ethnicity. Main Outcomes and Measures: National prevalence estimates using population weights. Results: The mean (SD) age of the study population sample (N = 3496) was 76.4 (7.6) years, and 2095 participants (60%) were female. There were 551 participants who self-identified as Black and not Hispanic (16%), 382 who self-identified as Hispanic regardless of race (16%), 2483 who self-identified as White and not Hispanic (71%), and 80 who self-identified as another race (2%), including American Indian or Alaska Native, Asian, Native Hawaiian or Pacific Islander, or another self-described race. A total of 393 individuals (10%; 95% CI, 9-11) were classified as having dementia and 804 (22%; 95% CI, 20-24) as having MCI. Every 5-year increase in age was associated with higher risk of dementia (weighted odds ratio [OR], 1.95 per 5-year age difference; 95%, CI, 1.77-2.14) and MCI (OR, 1.17 per 5-year age difference, 95% CI, 1.09-1.26). Each additional year of education was associated with a decrease in risk of dementia (OR, 0.93 per year of school, 95% CI, 0.89-0.97) and MCI (OR, 0.94, 95% CI, 0.91-0.97). Dementia was more common among non-Hispanic Black individuals (OR, 1.81; 95% CI, 1.20-2.75) and MCI in Hispanic individuals (OR, 1.42; 95% CI, 1.03-1.96) compared with non-Hispanic White individuals. Other group comparisons by race and ethnicity were not possible owing to small numbers. No differences in prevalence were found between female individuals and male individuals. Conclusions and Relevance: Using a comprehensive neuropsychological test battery and large sample, the national prevalence of dementia and MCI in 2016 found in this cross-sectional study was similar to that of other US-based studies, indicating a disproportionate burden of dementia and MCI among older Black and Hispanic adults and those with lower education.

A life course view on depression: Social determinants of depressive symptom trajectories over 25 Years of Americans' Changing Lives.

Objectives: This study investigates heterogeneity in trajectories of depressive symptomatology in a national sample of American adults followed over 25 years. Using an innovative combination of data and methods, we sought to illuminate how depressive symptoms change over adulthood in terms of their levels and severity across 25 years, and how the social determinants of health influence differences in those trajectory paths. Methods: Data come from the Americans' Changing Lives (ACL) study, a national sample of 3617 adults (age 25+) followed over 25 years (1986-2011). Depressive symptoms were assessed with an 11-item abbreviated version of the Center for Epidemiologic Studies-Depression scale (CESD). A second-order growth mixture model was used to assess measurement invariance (addressing questions of different or changing meaning of depression) and latent trajectories of change (addressing questions of changing severity levels with aging) in depressive symptomatology over adulthood. Results: Results indicate that the CESD was invariant across time, and depressive symptomatology followed a U-shaped form across the life course. Two latent trajectories of depressive symptoms were identified across the life course; one was a normative trajectory (60% of the sample) and the other (40% of the sample) had persistently high depressive symptoms over adulthood. Women, race/ethnic minorities, and those of lower socioeconomic position were more likely to be in the persistently depressed class. Discussion: Results are consistent with those of other studies demonstrating a U-shaped form of depressive symptoms across the life course. However, a substantial sub-population with persistent depressive symptomatology over adulthood was also identified, whose predictors suggest the need to take a social determinants of health approach to disparities related to serious and persistent mental illness.

Glaucoma and cognitive function trajectories in a population-based study: Findings from the health and retirement study.

INTRODUCTION: Prior studies on the association of glaucoma and cognitive function have reported mixed results. METHODS: The Health and Retirement Study (HRS) is a nationally representative panel survey of Americans age ≥ 51 years. HRS-linked Medicare claims data were used to identify incident glaucoma cases (by glaucoma type). Cognitive function was measured using the Telephone Interview for Cognitive Status (TICS), administered in each wave (every 2 years). Separate linear mixed models were fitted with either prevalent or incident glaucoma as a predictor of TICS trajectories and adjusting for age, race/ethnicity, educational attainment, gender, and medical history. Negative model estimates indicate associations of glaucoma with worse cognitive function scores or steeper per-year declines in cognitive function scores. RESULTS: Analyses of prevalent glaucoma cases included 1344 cases and 5729 controls. Analyses of incident glaucoma included 886 cases and 4385 controls. In fully-adjusted models, those with prevalent glaucoma had similar TICS scores to controls (ß = 0.01; 95% Confidence Interval [CI]: -0.15, 0.18; p = 0.86). However, in those with incident glaucoma, we detected a statistically significant association between glaucoma and lower TICS scores (ß = -0.29; 95% CI: -0.50, -0.08; p = 0.007). However, there was no statistically significant association between either prevalent or incident glaucoma and per-year rates of change in TICS scores. When categorizing glaucoma by type (primary open angle glaucoma, normal tension glaucoma, or other glaucoma), no significant associations were detected between either prevalent or incident glaucoma and levels of or rates of change in TICS scores in fully covariate adjusted models. CONCLUSION: The observed associations between glaucoma and cognitive function were small and unlikely to be clinically meaningful. Compared to prior studies on this topic, this investigation provides robust evidence based on its larger sample size, longitudinal follow-up, and repeated measures of cognitive function in a population-based sample.

Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation.

BACKGROUND: In increasingly ageing populations, there is an emergent need to develop a robust prediction model for estimating an individual absolute risk for all-cause mortality, so that relevant assessments and interventions can be targeted appropriately. The objective of the study was to derive, evaluate and validate (internally and externally) a risk prediction model allowing rapid estimations of an absolute risk of all-cause mortality in the following 10 years. METHODS: For the model development, data came from English Longitudinal Study of Ageing study, which comprised 9154 population-representative individuals aged 50-75 years, 1240 (13.5%) of whom died during the 10-year follow-up. Internal validation was carried out using Harrell's optimism-correction procedure; external validation was carried out using Health and Retirement Study (HRS), which is a nationally representative longitudinal survey of adults aged ≥50 years residing in the United States. Cox proportional hazards model with regularisation by the least absolute shrinkage and selection operator, where optimisation parameters were chosen based on repeated cross-validation, was employed for variable selection and model fitting. Measures of calibration, discrimination, sensitivity and specificity were determined in the development and validation cohorts. RESULTS: The model selected 13 prognostic factors of all-cause mortality encompassing information on demographic characteristics, health comorbidity, lifestyle and cognitive functioning. The internally validated model had good discriminatory ability (c-index=0.74), specificity (72.5%) and sensitivity (73.0%). Following external validation, the model's prediction accuracy remained within a clinically acceptable range (c-index=0.69, calibration slope ß=0.80, specificity=71.5% and sensitivity=70.6%). The main limitation of our model is twofold: 1) it may not be applicable to nursing home and other institutional populations, and 2) it was developed and validated in the cohorts with predominately white ethnicity. CONCLUSIONS: A new prediction model that quantifies absolute risk of all-cause mortality in the following 10-years in the general population has been developed and externally validated. It has good prediction accuracy and is based on variables that are available in a variety of care and research settings. This model can facilitate identification of high risk for all-cause mortality older adults for further assessment or interventions.

Changes in Health Care Access and Utilization for Low-SES Adults Aged 51-64 Years After Medicaid Expansion.

OBJECTIVES: Whether the Affordable Care Act (ACA) insurance expansions improved access to care and health for adults aged 51-64 years has not been closely examined. This study examined longitudinal changes in access, utilization, and health for low-socioeconomic status adults aged 51-64 years before and after the ACA Medicaid expansion. METHODS: Longitudinal difference-in-differences (DID) study before (2010-2014) and after (2016) Medicaid expansion, including N = 2,088 noninstitutionalized low-education adults aged 51-64 years (n = 633 in Medicaid expansion states, n = 1,455 in nonexpansion states) from the nationally representative biennial Health and Retirement Study. Outcomes included coverage (any, Medicaid, and private), access (usual source of care, difficulty finding a physician, foregone care, cost-related medication nonadherence, and out-of-pocket costs), utilization (outpatient visit and hospitalization), and health status. RESULTS: Low-education adults aged 51-64 years had increased rates of Medicaid coverage (+10.6 percentage points [pp] in expansion states, +3.2 pp in nonexpansion states, DID +7.4 pp, p = .001) and increased likelihood of hospitalizations (+9.2 pp in expansion states, -1.1 pp in nonexpansion states, DID +10.4 pp, p = .003) in Medicaid expansion compared with nonexpansion states after 2014. Those in expansion states also had a smaller increase in limitations in paid work/housework over time, compared to those in nonexpansion states (+3.6 pp in expansion states, +11.0 pp in nonexpansion states, DID -7.5 pp, p = .006). There were no other significant differences in access, utilization, or health trends between expansion and nonexpansion states. DISCUSSION: After Medicaid expansion, low-education status adults aged 51-64 years were more likely to be hospitalized, suggesting poor baseline access to chronic disease management and pent-up demand for hospital services.

The Health and Retirement Study Harmonized Cognitive Assessment Protocol Project: Study Design and Methods.

INTRODUCTION: The Harmonized Cognitive Assessment Protocol (HCAP) Project is a substudy within the Health and Retirement Study (HRS), an ongoing nationally representative panel study of about 20,000 adults aged 51 or older in the United States. The HCAP is part of an international research collaboration funded by the National Institute on Aging to better measure and identify cognitive impairment and dementia in representative population-based samples of older adults, in the context of ongoing longitudinal studies of aging in high-, middle-, and low-income countries around the world. METHODS: The HCAP cognitive test battery was designed to measure a range of key cognitive domains affected by cognitive aging (including attention, memory, executive function, language, and visuospatial function) and to allow harmonization and comparisons to other studies in the United States and around the world. The HCAP included a pair of in-person interviews, one with the target HRS respondent (a randomly selected HRS sample member, aged 65+) that lasted approximately 1 h and one with an informant nominated by the respondent that lasted approximately 20 min. The final HRS HCAP sample included 3,496 study subjects, representing a 79% response rate among those invited to participate. CONCLUSION: Linking detailed HCAP cognitive assessments to the wealth of available longitudinal HRS data on cognition, health, biomarkers, genetics, health care utilization, informal care, and economic resources and behavior will provide unique and expanded opportunities to study cognitive impairment and dementia in a nationally representative US population-based sample. The fielding of similar HCAP projects in multiple countries around the world will provide additional opportunities to study international differences in the prevalence, incidence, and outcomes of dementia globally with comparable data. Like all HRS data, HCAP data are publicly available at no cost to researchers.

Recent Improvements in Cognitive Functioning Among Older U.S. Adults: How Much Does Increasing Educational Attainment Explain?

OBJECTIVES: Recent interest has been generated about reports of declining incidence in cognitive impairment among more recently born cohorts. At the same time, attained education, which is related to cognition, has increased in recent cohorts of older adults. We examined cohort differences in cognitive function in a nationally representative sample of Americans aged 25 and older followed for 25 years (1986-2011) and considered the extent to which cohort differences in education account for differences. METHOD: Data come from the Americans' Changing Lives Study (N = 3,617). Multiple cohort latent growth models model trajectories of cognition (errors on the Short Portable Mental Status Questionnaire) across four 15-year birth cohorts. Demographic factors, educational attainment, and time-varying health conditions were covariates. RESULTS: Significant cohort differences were found in the mean number of cognitive errors (e.g., 0.26 more errors at age 65 in cohort born pre-1932 vs cohort born 1947-1961, p < .001). Although demographic and health conditions were associated with level and rate of change in cognitive dysfunction, education solely accounted for cohort differences. DISCUSSION: Compression of cognitive morbidity is seen among the highly educated, and increasing educational opportunities may be an important strategy for decreasing the risk for cognitive impairment in later life.

Association Between Spousal Caregiver Well-Being and Care Recipient Healthcare Expenditures.

OBJECTIVES: To measure the association between spousal depression, general health, fatigue and sleep, and future care recipient healthcare expenditures and emergency department (ED) use. DESIGN: Prospective cohort study. SETTING: Health and Retirement Study. PARTICIPANTS: Home-dwelling spousal dyads in which one individual (care recipient) was aged 65 and older and had one or more activity of daily living or instrumental activity of daily living disabilities and was enrolled in Medicare Part B (N = 3,101). EXPOSURE: Caregiver sleep (Jenkins Sleep Scale), depressive symptoms (Center for Epidemiologic Studies Depression-8 Scale), and self-reported general health measures. MEASUREMENTS: Primary outcome was care recipient Medicare expenditures. Secondary outcome was care recipient ED use. Follow-up was 6 months. RESULTS: Caregiver depressive symptoms score and six of 17 caregiver well-being measures were prospectively associated with higher care recipient expenditures after minimal adjustment (P < .05). Higher care recipient expenditures remained significantly associated with caregiver fatigue (cost increase, $1,937, 95% confidence interval (CI) = $770-3,105) and caregiver sadness (cost increase, $1,323, 95% CI = $228-2,419) after full adjustment. Four of 17 caregiver well-being measures, including severe fatigue, were significantly associated with care recipient ED use after minimal adjustment (P < .05). Greater odds of care recipient ED use remained significantly associated with caregiver fatigue (odds ratio (OR) = 1.24, 95% CI = 1.01-1.52) and caregiver fair to poor health (OR = 1.23, 95% CI = 1.04-1.45) after full adjustment. Caregiver total sleep score was not associated with care recipient outcomes. CONCLUSION: Poor caregiver well-being, particularly severe fatigue, is independently and prospectively associated with higher care recipient Medicare expenditures and ED use.

Distress Associated with Dementia-Related Psychosis and Agitation in Relation to Healthcare Utilization and Costs.

OBJECTIVES: Explore the relationship between behavioral and psychological symptoms of dementia (BPSD; specifically, delusions, hallucinations, and agitation/aggression) and associated caregiver distress with emergency department (ED) utilization, inpatient hospitalization, and expenditures for direct medical care. DESIGN/SETTING/PARTICIPANTS: Retrospective cross-sectional cohort of participants with dementia (N = 332) and informants from the Aging, Demographics, and Memory Study, a nationally representative survey of U.S. adults >70 years old. MEASUREMENTS: BPSD of interest and associated informant distress (trichotomized as none/low/high) were assessed using the Neuropsychiatric Inventory (NPI). Outcomes were determined from one year of Medicare claims and examined according to presence of BPSD and associated informant distress, adjusting for participant demographics, dementia severity, and comorbidity. RESULTS: Fifty-eight (15%) participants with dementia had clinically significant delusions, hallucinations, or agitation/aggression. ED visits, inpatient admissions, and costs were not significantly higher among the group with significant BPSD. In fully adjusted models, a high level of informant distress was associated with all outcomes: ED visit incident rate ratio (IRR) 3.03 (95% CI: 1.98-4.63; p < 0.001), hospitalization IRR 2.78 (95% CI: 1.73-4.46; p < 0.001), and relative cost ratio 2.00 (95% CI: 1.12-3.59; p = 0.02). CONCLUSIONS: A high level of informant distress related to participant BPSD, rather than the symptoms themselves, was associated with increased healthcare utilization and costs. Effectively identifying, educating, and supporting distressed caregivers may help reduce excess healthcare utilization for the growing number of older adults with dementia.

Neuroimaging overuse is more common in Medicare compared with the VA.

OBJECTIVE: To inform initiatives to reduce overuse, we compared neuroimaging appropriateness in a large Medicare cohort with a Department of Veterans Affairs (VA) cohort. METHODS: Separate retrospective cohorts were established in Medicare and in VA for headache and neuropathy from 2004 to 2011. The Medicare cohorts included all patients enrolled in the Health and Retirement Study (HRS) with linked Medicare claims (HRS-Medicare; n = 1,244 for headache and 998 for neuropathy). The VA cohorts included all patients receiving services in the VA (n = 93,755 for headache and 183,642 for neuropathy). Inclusion criteria were age over 65 years and an outpatient visit for incident neuropathy or a primary headache. Neuroimaging use was measured with Current Procedural Terminology codes and potential overuse was defined using published criteria for use with administrative data. Increasingly specific appropriateness criteria excluded nontarget conditions for which neuroimaging may be appropriate. RESULTS: For both peripheral neuropathy and headache, potentially inappropriate imaging was more common in HRS-Medicare compared with the VA. Forty-nine percentage of all headache patients received neuroimaging in HRS-Medicare compared with 22.1% in the VA (p < 0.001) and differences persist when analyzing more specific definitions of overuse. A total of 23.7% of all HRS-Medicare incident neuropathy patients received neuroimaging compared with 9.0% in the VA (p < 0.001), and the difference persisted after excluding nontarget conditions. CONCLUSIONS: Overuse of neuroimaging is likely less common in the VA than in a Medicare population. Better understanding the reasons for the more selective use of neuroimaging in the VA could help inform future initiatives to reduce overuse of diagnostic testing.

Longitudinal patient-oriented outcomes in neuropathy: Importance of early detection and falls.

OBJECTIVE: To evaluate longitudinal patient-oriented outcomes in peripheral neuropathy over a 14-year time period including time before and after diagnosis. METHODS: The 1996-2007 Health and Retirement Study (HRS)-Medicare Claims linked database identified incident peripheral neuropathy cases (ICD-9 codes) in patients ≥65 years. Using detailed demographic information from the HRS and Medicare claims, a propensity score method identified a matched control group without neuropathy. Patient-oriented outcomes, with an emphasis on self-reported falls, pain, and self-rated health (HRS interview), were determined before and after neuropathy diagnosis. Generalized estimating equations were used to assess differences in longitudinal outcomes between cases and controls. RESULTS: We identified 953 peripheral neuropathy cases and 953 propensity-matched controls. The mean (SD) age was 77.4 (6.7) years for cases, 76.9 (6.6) years for controls, and 42.1% had diabetes. Differences were detected in falls 3.0 years before neuropathy diagnosis (case vs control; 32% vs 25%, p = 0.008), 5.0 years for pain (36% vs 27%, p = 0.002), and 5.0 years for good to excellent self-rated health (61% vs 74%, p < 0.0001). Over time, the proportion of fallers increased more rapidly in neuropathy cases compared to controls (p = 0.002), but no differences in pain (p = 0.08) or self-rated health (p = 0.9) were observed. CONCLUSIONS: In older persons, differences in falls, pain, and self-rated health can be detected 3-5 years prior to peripheral neuropathy diagnosis, but only falls deteriorates more rapidly over time in neuropathy cases compared to controls. Interventions to improve early peripheral neuropathy detection are needed, and future clinical trials should incorporate falls as a key patient-oriented outcome.

Antidepressant Use and Cognitive Decline: The Health and Retirement Study.

BACKGROUND: Depression is associated with cognitive impairment and dementia, but whether treatment for depression with antidepressants reduces the risk for cognitive decline is unclear. We assessed the association between antidepressant use and cognitive decline over 6 years. METHODS: Participants were 3714 adults aged 50 years or more who were enrolled in the nationally representative Health and Retirement Study and had self-reported antidepressant use. Depressive symptoms were assessed using the 8-item Center for Epidemiologic Studies Depression Scale. Cognitive function was assessed at 4 time points (2004, 2006, 2008, 2010) using a validated 27-point scale. Change in cognitive function over the 6-year follow-up period was examined using linear growth models, adjusted for demographics, depressive symptoms, comorbidities, functional limitations, and antidepressant anticholinergic activity load. RESULTS: At baseline, cognitive function did not differ significantly between the 445 (12.1%) participants taking antidepressants and those not taking antidepressants (mean, 14.9%; 95% confidence interval, 14.3-15.4 vs mean, 15.1%; 95% confidence interval, 14.9-15.3). During the 6-year follow up period, cognition declined in both users and nonusers of antidepressants, ranging from -1.4 change in mean score in those with high depressive symptoms and taking antidepressants to -0.5 change in mean score in those with high depressive symptoms and not taking antidepressants. In adjusted models, cognition declined in people taking antidepressants at the same rate as those not taking antidepressants. Results remained consistent across different levels of baseline cognitive function, age, and duration of antidepressant use (prolonged vs short-term). CONCLUSIONS: Antidepressant use did not modify the course of 6-year cognitive change in this nationally representative sample.

Development and validation of a brief dementia screening indicator for primary care.

BACKGROUND: Detection of "any cognitive impairment" is mandated as part of the Medicare annual wellness visit, but screening all patients may result in excessive false positives. METHODS: We developed and validated a brief Dementia Screening Indicator using data from four large, ongoing cohort studies (the Cardiovascular Health Study [CHS]; the Framingham Heart Study [FHS]; the Health and Retirement Study [HRS]; the Sacramento Area Latino Study on Aging [SALSA]) to help clinicians identify a subgroup of high-risk patients to target for cognitive screening. RESULTS: The final Dementia Screening Indicator included age (1 point/year; ages, 65-79 years), less than 12 years of education (9 points), stroke (6 points), diabetes mellitus (3 points), body mass index less than 18.5 kg/m(2) (8 points), requiring assistance with money or medications (10 points), and depressive symptoms (6 points). Accuracy was good across the cohorts (Harrell's C statistic: CHS, 0.68; FHS, 0.77; HRS, 0.76; SALSA, 0.78). CONCLUSIONS: The Dementia Screening Indicator is a simple tool that may be useful in primary care settings to identify high-risk patients to target for cognitive screening.

Expenditures in the elderly with peripheral neuropathy: Where should we focus cost-control efforts?

To optimize care in the evaluation of peripheral neuropathy, we sought to define which tests drive expenditures and the role of the provider type. We investigated test utilization and expenditures by provider type in those with incident neuropathy in a nationally representative elderly, Medicare population. Multivariable logistic regression was used to determine predictors of MRI and electrodiagnostic utilization. MRIs of the neuroaxis and electrodiagnostic tests accounted for 88% of total expenditures. Mean and aggregate diagnostic expenditures were higher in those who saw a neurologist. Patients who saw a neurologist were more likely to receive an MRI and an electrodiagnostic test. MRIs and electrodiagnostic tests are the main contributors to expenditures in the evaluation of peripheral neuropathy, and should be the focus of future efficiency efforts.

Trends in depressive symptom burden among older adults in the United States from 1998 to 2008.

CONTEXT: Diagnosis and treatment of depression has increased over the past decade in the United States. Whether self-reported depressive symptoms among older adults have concomitantly declined is unknown. OBJECTIVE: To examine trends in depressive symptoms among older adults in the US between 1998 and 2008. DESIGN: Serial cross-sectional analysis of six biennial assessments. SETTING: Health and Retirement Study (HRS), a nationally-representative survey. PATIENTS OR OTHER PARTICIPANTS Adults aged 55 and older (N = 16,184 in 1998). MAIN OUTCOME MEASURE: The eight-item Center for Epidemiologic Studies Depression scale (CES-D8) assessed three levels of depressive symptoms (none = 0, elevated = 4+, severe = 6+), adjusting for demographic and clinical characteristics. RESULTS: Having no depressive symptoms increased over the 10-year period from 40.9 % to 47.4 % (prevalence ratio [PR]: 1.16, 95 % CI: 1.13-1.19), with significant increases in those aged ≥ 60 relative to those aged 55-59. There was a 7 % prevalence reduction of elevated symptoms from 15.5 % to 14.2 % (PR: 0.93, 95 % CI: 0.88-0.98), which was most pronounced among those aged 80-84 in whom the prevalence of elevated symptoms declined from 14.3 % to 9.6 %. Prevalence of having severe depressive symptoms increased from 5.8 % to 6.8 % (PR: 1.17, 95 % CI: 1.06-1.28); however, this increase was limited to those aged 55-59, with the probability of severe symptoms increasing from 8.7 % to 11.8 %. No significant changes in severe symptoms were observed for those aged ≥ 60. CONCLUSIONS: Overall late-life depressive symptom burden declined significantly from 1998 to 2008. This decrease appeared to be driven primarily by greater reductions in depressive symptoms in the oldest-old, and by an increase in those with no depressive symptoms. These changes in symptom burden were robust to physical, functional, demographic, and economic factors. Future research should examine whether this decrease in depressive symptoms is associated with improved treatment outcomes, and if there have been changes in the treatment received for the various age cohorts.

Impact of cigarette smoking on utilization of nursing home services.

INTRODUCTION: Few studies have examined the effects of smoking on nursing home utilization, generally using poor data on smoking status. No previous study has distinguished utilization for recent from long-term quitters. METHODS: Using the Health and Retirement Study, we assessed nursing home utilization by never-smokers, long-term quitters (quit >3 years), recent quitters (quit ≤3 years), and current smokers. We used logistic regression to evaluate the likelihood of a nursing home admission. For those with an admission, we used negative binomial regression on the number of nursing home nights. Finally, we employed zero-inflated negative binomial regression to estimate nights for the full sample. RESULTS: Controlling for other variables, compared with never-smokers, long-term quitters have an odds ratio (OR) for nursing home admission of 1.18 (95% CI: 1.07-1.2), current smokers 1.39 (1.23-1.57), and recent quitters 1.55 (1.29-1.87). The probability of admission rises rapidly with age and is lower for African Americans and Hispanics, more affluent respondents, respondents with a spouse present in the home, and respondents with a living child. Given admission, smoking status is not associated with length of stay (LOS). LOS is longer for older respondents and women and shorter for more affluent respondents and those with spouses present. CONCLUSIONS: Compared with otherwise identical never-smokers, former and current smokers have a significantly increased risk of nursing home admission. That recent quitters are at greatest risk of admission is consistent with evidence that many stop smoking because they are sick, often due to smoking.

Predictors of self-report of heart failure in a population-based survey of older adults.

BACKGROUND: Little research has been conducted on the predictors of self-report or patient awareness of heart failure (HF) in a population-based survey. The objective of this study was to (1) test the agreement between Medicare administrative and Health and Retirement Study (HRS) survey data and (2) determine predictors associated with self-report of HF, using a validated Medicare claims algorithm as the reference standard. We hypothesized that those who self-reported HF were more likely to have a higher number of HF-related claims. METHODS AND RESULTS: Secondary data analysis was conducted using the 2004 wave of the HRS linked to 2002 to 2004 Medicare claims (n=5573 respondents aged ≥ 67 years). Concordance between self-report of HF in the HRS and Medicare claims was calculated. Logistic regression was performed to identify predictors associated with self-report HF. HF prevalence by self-report was 4.6%. Self-report of HF and claims agreement was 87% (κ=0.34). The presence of >1 HF inpatient claims was associated with greater odds of self-report (odds ratio [OR], 1.92; 95% CI, 1.23-3.00). Greater odds of self-reporting HF was also associated with ≥ 4 HF claims (OR, 2.74; 95% CI, 1.36-5.52). Blacks (OR, 0.28; 95% CI, 0.14-0.55) and Hispanics (OR, 0.30; 95% CI, 0.11-0.83) were less likely to self-report HF compared with whites in the final model. CONCLUSIONS: Self-report of HF is an insensitive method for accurately identifying HF cases, especially in those with less-severe disease and who are nonwhite. There may be limited awareness of HF among older minority patients despite having clinical encounters during which HF is coded as a diagnosis.

Tests and expenditures in the initial evaluation of peripheral neuropathy.

BACKGROUND: Peripheral neuropathy is a common disorder in which an extensive evaluation is often unrevealing. METHODS: We sought to define diagnostic practice patterns as an early step in identifying opportunities to improve efficiency of care. The 1996-2007 Health and Retirement Study Medicare claims-linked database was used to identify individuals with an incident diagnosis of peripheral neuropathy using International Classification of Diseases, Ninth Revision, codes and required no previous neuropathy diagnosis during the preceding 30 months. Focusing on 15 relevant tests, we examined the number and patterns of tests and specific test utilization 6 months before and after the incident neuropathy diagnosis. Medicare expenditures were assessed during the baseline, diagnostic, and follow-up periods. RESULTS: Of the 12, 673 patients, 1031 (8.1%) received a new International Classification of Diseases, Ninth Revision, diagnosis of neuropathy and met the study inclusion criteria. Of the 15 tests considered, a median of 4 (interquartile range, 2-5) tests were performed, with more than 400 patterns of testing. Magnetic resonance imaging of the brain or spine was ordered in 23.2% of patients, whereas a glucose tolerance test was rarely obtained (1.0%). Mean Medicare expenditures were significantly higher in the diagnostic period than in the baseline period ($14,362 vs $8067, P < .001). CONCLUSIONS: Patients diagnosed as having peripheral neuropathy typically undergo many tests, but testing patterns are highly variable. Almost one-quarter of patients receiving neuropathy diagnoses undergo high-cost, low-yield magnetic resonance imaging, whereas few receive low-cost, high-yield glucose tolerance tests. Expenditures increase substantially in the diagnostic period. More research is needed to define effective and efficient strategies for the diagnostic evaluation of peripheral neuropathy.