Christine T. Cigolle

Background: Telehealth is increasingly used for rehabilitation and exercise but few studies include older adult participants with comorbidities and impairment, particularly cognitive. Using Veterans Administration Video Connect (VVC), the aim of the present study is to present the screening, recruitment, baseline assessment, and initial telehealth utilization of post-hospital discharge Veterans in a VVC home-telehealth based program to enhance mobility and physical activity. Methods: Older adult Veterans (n = 45, mean age 73), recently discharged from the hospital with physical therapy goals, were VVC-assessed in self-report and performance-based measures, using test adaptations as necessary, by a clinical pharmacy specialist and social worker team. Results: Basic and instrumental ADL disabilities were common as were low mobility (Short Portable Performance Battery) and physical activity levels (measured by actigraphy). Half had Montreal Cognitive Assessment (MoCA) scores in the mild cognitive impairment range (< 24). Over 2/3 of the participants used VA-supplied tablets. While half of the Veterans were fully successful in VVC, 1/3 of these and an additional group with at least one failed connection requested in-person visits for assistance. One-quarter had no VVC success and sought help for tablet troubleshooting, and half of these eventually “gave up” trying to connect; difficulty with using the computer and physical impairment (particularly dexterity) were described prominently in this group. On the other hand, Veterans with at least mild cognitive impairment (based on MoCA scores) were present in all connectivity groups and most of these used caregiver support to facilitate VVC. Conclusions: Disabled older post-hospital discharged Veterans with physical therapy goals can be VVC-assessed and enrolled into a mobility/physical activity intervention. A substantial proportion required technical support, including in-person support for many. Yet, VVC seems feasible in those with mild cognitive impairment, assuming the presence of an able caregiver. Modifications of assessment tools were needed for the VVC interface, and while appearing feasible, will require further study. Trial registration: ClinicalTrials.gov NCT 04045054 05/08/2019.

Chronic disease data from longitudinal health interview surveys are frequently used in epidemiologic studies. These data may be limited by inconsistencies in self-report by respondents across waves. We examined disease inconsistencies in the Health and Retirement Study and investigated a multistep method of adjudication. We hypothesized a greater likelihood of inconsistences among respondents with cognitive impairment, of underrepresented race/ethnic groups, having lower education, or having less income/wealth. We analyzed Waves 1995–2010, including adults 51 years and older (N = 24,156). Diseases included hypertension, heart disease, lung disease, diabetes, cancer, stroke, and arthritis. We used questions about the diseases to formulate a multistep adjudication method to resolve inconsistencies across waves. Thirty percent had inconsistency in their self-report of diseases across waves, with cognitive impairment, proxy status, age, Hispanic ethnicity, and wealth as key predictors. Arthritis and hypertension had the most frequent inconsistencies; stroke and cancer, the fewest. Using a stepwise method, we adjudicated 60%–75% of inconsistent responses. Discrepancies in the self-report of diseases across multiple waves of health interview surveys are common. Differences in prevalence between original and adjudicated data may be substantial for some diseases and for some groups, (e.g., the cognitively impaired).

Middle-aged and older adults with diabetes are heterogeneous and may be characterized as belonging to one of three clinical groups: a relatively healthy group, a group having characteristics likely to make diabetes self-management difficult, and a group with poor health status for whom current management targets have uncertain benefit. We analyzed waves 2004–2008 of the Health and Retirement Study and the supplemental Health and Retirement Study 2003 Diabetes Study. The sample included adults with diabetes 51 years and older (n = 3,507, representing 13.6 million in 2004). We investigated the mortality outcomes for the three clinical groups, using survival analysis and Cox proportional hazard models. The 5-year survival probabilities were Relatively Healthy Group, 90.8%; Self-Management Difficulty Group, 79.4%; and Uncertain Benefit Group, 52.5%. For all age groups and clinical groups, except those 76 years and older in the Uncertain Benefit Group, survival exceeded 50%. This study reveals the substantial survival of middle-aged and older adults with diabetes, regardless of health status. These findings have implications for the clinical management of and future research about diabetes patients with multiple comorbidities.

Geriatric conditions, collections of symptoms common in older adults and not necessarily associated with a specific disease, increase in prevalence with advancing age. These conditions are important contributors to the complex health status of older adults. Diabetes mellitus is known to co-occur with geriatric conditions in older adults and has been implicated in the pathogenesis of some conditions. To investigate the prevalence and incidence of geriatric conditions in middle-aged and older-aged adults with diabetes. Secondary analysis of nationally-representative, longitudinal health interview survey data (Health and Retirement Study waves 2004 and 2006). Respondents 51 years and older in 2004 (n = 18,908). Diabetes mellitus. Eight geriatric conditions: cognitive impairment, falls, incontinence, low body mass index, dizziness, vision impairment, hearing impairment, pain. Adults with diabetes, compared to those without, had increased prevalence and increased incidence of geriatric conditions across the age spectrum (p < 0.01 for each age group from 51-54 years old to 75–79 years old). Differences between adults with and without diabetes were most marked in middle-age. Diabetes was associated with the two-year cumulative incidence of acquiring new geriatric conditions (odds ratio, 95% confidence interval: 1.8, 1.6–2.0). A diabetes-age interaction was discovered: as age increased, the association of diabetes with new geriatric conditions decreased. Middle-aged, as well as older-aged, adults with diabetes are at increased risk for the development of geriatric conditions, which contribute substantially to their morbidity and functional impairment. Our findings suggest that adults with diabetes should be monitored for the development of these conditions beginning at a younger age than previously thought.

OBJECTIVES: To operationalize and compare three models of frailty, each representing a distinct theoretical view of frailty: as deficiencies in function (Functional Domains model), as an index of health burden (Burden model), and as a biological syndrome (Biologic Syndrome model). DESIGN: Cross‐sectional analysis. SETTING: 2004 wave of the Health and Retirement Study, a nationally representative, longitudinal health interview survey. PARTICIPANTS: Adults aged 65 and older (N=11,113) living in the community and in nursing homes in the United States. MEASUREMENTS: The outcome measure was the presence of frailty, as defined according to each frailty model. Covariates included chronic diseases and sociodemographic characteristics. RESULTS: Almost one‐third (30.2%) of respondents were frail according to at least one model; 3.1% were frail according to all three models. The Functional Domains model showed the least overlap with the other models. In contrast, 76.1% of those classified as frail according to the Biologic Syndrome model and 72.1% of those according to the Burden model were also frail according to at least one other model. Older adults identified as frail according to the different models differed in sociodemographic and chronic disease characteristics. For example, the Biologic Syndrome model demonstrated substantial associations with older age (adjusted odds ratio (OR)=10.6, 95% confidence interval (CI)=6.1–18.5), female sex (OR=1.7, 95% CI=1.2–2.5), and African‐American ethnicity (OR=2.1, % CI=1.0–4.4). CONCLUSION: Different models of frailty, based on different theoretical constructs, capture different groups of older adults. The different models may represent different frailty pathways or trajectories to adverse outcomes such as disability and death.

Objectives: To examine different clinically relevant eligibility criteria sets to determine how they differ in numbers and characteristics of individuals served. Design: Cross‐sectional analysis of the 2000 wave of the Health and Retirement Study (HRS), a nationally representative longitudinal health interview survey of adults aged 50 and older. Setting: Population‐based cohort of community‐dwelling older adults, subset of an ongoing longitudinal health interview survey. Participants: Adults aged 65 and older who were respondents in the 2000 wave of the HRS (n=10,640, representing approximately 33.6 million Medicare beneficiaries). Measurements: Three clinical criteria sets were examined that included different combinations of medical conditions, cognitive impairment, and activity of daily living/instrumental activity of daily living (ADL/IADL) dependency. Results: A small portion of Medicare beneficiaries (1.3–5.8%) would be eligible for care coordination, depending on the criteria set chosen. A criteria set recently proposed by Congress (at least four severe complex medical conditions and one ADL or IADL dependency) would apply to 427,000 adults aged 65 and older in the United States. Criteria emphasizing cognitive impairment would serve an older population. Conclusion: Several criteria sets for a Medicare care‐coordination benefit are clinically reasonable, but different definitions of eligibility would serve different numbers and population groups of older adults.