Exercise and Quality of Life

Exercise is a fundamental intervention for any patient with diabetes or at risk for it. Exercise not only contributes to the control of blood glucose but also reduces the risk of metabolic abnormalities and diabetes-related complications and comorbidities. Despite the growing prevalence of diabetes in the world, most people are not as physically active as guidelines and evidence recommend. In this chapter, we focus on the topic of exercise and quality of life, briefly addressing quality of life assessment in patients with diabetes. In addition, given the strong association of depression with diabetes and its impact on quality of life, we also cover the potential benefits of exercise interventions in the setting of diabetes and depression. While most studies show evidence of short- and long-term exercise interventions, there are still several areas that require further research. Moreover, the impact from exercise in older adults requires additional attention, given the aging of the population and because older people may have long-standing disease, with greater prevalence of its complications, as well as greater prevalence of multimorbidity, which will also impact their quality of life

How to prevent the microvascular complications of type 2 diabetes beyond glucose control

Microvascular complications (retinopathy, nephropathy, and neuropathy) affect hundreds of millions of patients with type 2 diabetes. They usually affect people with longstanding or uncontrolled disease, but they can also be present at diagnosis or in those yet to have a diagnosis made. The presentation and progression of these complications can lead to loss of visual, renal, and neurologic functions, impaired mobility and cognition, poor quality of life, limitations for employment and productivity, and increased costs for the patient and society. If left uncontrolled or untreated, they lead to irreversible damage and even death. This review focuses on the primary and secondary prevention of diabetic microvascular complications in patients with type 2 diabetes, beyond glycemic control. Interventions discussed include standard of care interventions supported by guidelines from major organizations, as well as additional proposed interventions that are supported by research published in the past decade. High level evidence sources such as systematic reviews and large, multicenter randomized clinical trials have been prioritized. Smaller trials were included where high quality evidence was unavailable

A new angle for glp-1 receptor agonist: the medical economics argument Editorial on: Huetson P, Palmer JL, Levorsen A, et al. Cost-effectiveness of the once-daily glp-1 receptor agonist lixisenatide compared to bolus insulin both in combination with basal insulin for the treatment of patients with type 2 diabetes in Norway. J Med Econ 2015: 1-13 [Epub ahead of print]

Glucagon-like peptide-1 receptor agonists (GLP-1 RA) are relatively new medications for diabetes that offer a weight-loss profile that can be considered desirable for patients with both type 2 diabetes (T2D) and obesity. GLP-1 RA are effective in combination with insulin, and even slightly superior or at least equal to short-acting insulin in T2D; however, since they work in the incretin system, they may not be effective in long-standing disease. Additionally, only recently have publications reported their cardiovascular safety, and there is limited evidence for long-term effectiveness. The work presented by Huetson et al. offers a much needed perspective through a medical economic model for the long term cost-effectiveness of GLP-1 RA. The authors found benefits in quality-adjusted life years and reduced lifetime healthcare costs. While there are a few limitations, this study contributes to the understanding of these agents and their impact on the epidemics of obesity in T2D, where weight management is no longer an option, but an essential component of the diabetes plan of care

Home Safety Evaluation Model for Older Adults With Recurrent Falls

Recurrent falls are a major threat in older adults. Home environment can be a hazard, but it is potentially modifiable/reversible. In Miami VA, occupational therapists conduct home safety evaluations (HSE) to ascertain the need for modifications to reduce falls risk. We reviewed the cohort of high-risk, recurrent falls patients evaluated at our Falls Prevention Clinic (FPC) between August 2017 to November 2019, to evaluate the impact of HSE. We identified 48 Veterans, age 76.5±6.9 years, of whom 15 (31.3%) reported 1-2 falls/year, 18 (37.5%) reported 3-4 falls/year, and 15 (31.3%) reported ≥5 falls/year. Twenty-eight (58.3%) were offered a HSE. Within these subjects, 74.2% reported falling at least once within their home, 43.8% had fear of falling, 5 (17.9%) had a history of substance or alcohol abuse. We observed that 29 (60.4%) would benefit from the addition of grab bars and 26 (54.2%) could benefit from toilet adjustments. Twelve (25.0%) were recommended to install bed rails. Only 15 (31.3%) Veterans agreed to all recommendations, 25 (52.1%) declined due to preference, and 8 (16.7%) declined for other reasons. Only 8 (16.7%) of these Veterans lived alone. Another factor is that 11 (22.9%) Veterans were renting and 32 (66.7%) owned their homes. Addressing and improving environmental hazards may ameliorate the risk for recurrent falls. Our next steps are to evaluate the extent of home modifications, and the long-term changes in falls/year. Further research needs to determine the long-term efficacy and cost-effectiveness of HSE, and how it can be more accessible to the community

GREATER HYPOGLYCEMIA UNAWARENESS IN OLDER COMPARED TO YOUNGER RURAL VETERANS WITH TYPE 2 DIABETES

Abstract Hypoglycemia is of great concern in older patients, especially when complicated with multimorbidity and geriatric syndromes. We implemented a telemedicine model to address hypoglycemia knowledge, risk factors, incidence and comanagement with their primary care teams (PCT). We identified 166 consecutive rural veterans with high hypoglycemia risk, based on a local medication database (sulfonylureas and insulin), age, and recent glycated hemoglobin A1c (HbA1c). We conducted a telephone medication reconciliation and survey assessing glucose self-monitoring (GSM), hypoglycemia knowledge and symptoms. Variables were tested using chi-square, Fisher’s, and one-way ANOVA. Multivariable logistic regression model was built to assess the association of hypoglycemia and age group, adjusted with treatment, HbA1c%, self-monitoring, and knowledge. There were 54 veterans aged <65 (younger), and 112 veterans aged ≥65 years (older). Average HbA1c was higher in younger than older (8.20±1.96 vs 7.43±1.34%, p=.003). There was no difference in treatment regimens, but the older had greater GSM (p=.028) and lower hypoglycemia symptom knowledge (p=.026). Symptomatic hypoglycemia was greater in younger versus older (50.0% vs 30.4%, p=0.014). Recent (past-2-weeks) hypoglycemic events were more frequent in younger than older (24.1 vs 1.79%, p<.001). Regression analyses showed that younger veterans were more likely to have hypoglycemia (OD=2.37, 95% CI 1.11-5.04). Our results indicate a great need to evaluate older adults with high hypoglycemia risk, in whom we observed less reports of hypoglycemia albeit with similar regimens and lower HbA1c. We suspect greater hypoglycemia unawareness, thus we are implementing a project using continuous glucose monitoring in this high-risk population

SELF-GLUCOSE MONITORING AND HYPOGLYCEMIA RISK IN OLDER RURAL VETERANS WITH TYPE 2 DIABETES

Hypoglycemia evaluation is expected in every encounter with diabetic patients. However, self-monitoring and self-management may not be complete at home, and limited by geriatric syndromes. Furthermore, hypoglycemia risk increases with age, and rurality may limit access to frequent monitoring. We identified 112 rural veterans with high hypoglycemia risk, using the local medication database (sulfonylureas and insulin), combined with age and glycated hemoglobin (HbA1c). Statistical analyses were conduct using SAS 9.4 (Cary, NC). We used Chi-square, Fisher’s, One-way ANOVA for baseline variables, and a multivariate logistic regression model to assess the association of hypoglycemia and risk factors, including age, HbA1c%, self-monitoring, and knowledge. Hypoglycemia was reported in 30.4% of cases, of whom the majority were younger than those not reporting hypoglycemia (72.0±4.3 vs 75.0±6.5 years, p=.015). Baseline HbA1c% was higher in cases with hypoglycemia compared to those without (7.7±1.6% versus 7.3±1.2%, not statistically significant). There were no significant differences between pharmacologic regimens, self-monitoring, and general knowledge. Veterans who knew hypoglycemia symptoms were 6 times more likely to reported hypoglycemia, compared with veterans who did not know any symptoms. We contacted primary care teams (PCT) for whom medications were adjusted. Hypoglycemia risk is high in the older population, and telemedicine programs can support primary care teams to improve management of their patients. Poor symptom knowledge needs to be addressed, while considering special attention for hypoglycemia unawareness in the oldest age group. We are implementing a project using continuous glucose monitoring in this high-risk population

Assessment procedures including comprehensive geriatric assessment

Geriatrics syndromes are more common in older adults with diabetes therefore their clinical management must incorporate comprehensive geriatric assessment (CGA) in the already well‐established comprehensive diabetes evaluation (CDE). This chapter explores the geriatrics approach to diabetes in older people, highlighting the relevance of screening for geriatric syndromes through a tailored CGA and patient‐centered management of diabetes in older people. Within the functional domain falls, impaired mobility, functional decline, vision loss, and hearing loss are among the most common geriatric syndromes. To explore this domain, the chapter briefly reviews the topic of falls. In the psychological/mental domain, depression, delirium, and dementia are common geriatric syndromes. Personality disorders and addictions are increasing in prevalence in this age group. To explore this domain, the chapter analyzes the impact of cognitive decline/dementia syndromes on diabetes. Long‐standing complications of diabetes should be reviewed and this is recommended in all patients with diabetes

Social Determinants and Frailty in High-Need, High-Risk Veterans

The VA Geriatrics and Extended Care Data Analysis Center uses national predictive modelling to identify High-Need High-Risk (HNHR) Veterans, to provide targeted services and reduce hospitalization and institutionalization risk. To learn the needs of Miami VA HNHR Veterans, we mailed a needs-assessment survey to 2124 Veterans, of whom 634 responded (29.8% response rate). The average respondent age was 70.5±9.2. Among them, 127(20%) were <65 years old, 326(51.4%) were 65-74, and 179(28.2%) were ≥75; 389(61.4%) White, 225(35.5%) Black/African Americans; 515(81.2%) were Non-Hispanic, 111(17.5%) Hispanic/Latino; 173(27.3%) were high school graduates, 350(55.2%) had at least some college credit, 39(6.2%) had a master’s degree or more and 536(84.5%) were health literate. As per Morley’s FRAIL scale, 266(42%) were frail, 242(38.2%) were pre-frail and 87(13.7%) were robust. Social risk factors possibly associated with frailty were analyzed using ordinal logistic regression. Univariate analysis showed significant association with poor health literacy, having a caregiver, social isolation, transportation trouble, delayed or missed doctors’ appointments due to transportation, a negative perception of aging, likelihood of depression, being homebound, inability to use the internet, lack of technology for video conferencing and lack of email use (p≤0.01). Through multivariate ordinal logistic regression analysis, adjusting for patients’ age and Jen Frailty Index, we found that the same social risk factors other than internet use showed significant association with frailty (p≤0.01). HNHR Veterans have complex social needs with a limited ability to manage their chronic conditions, necessitating interventions that address not only their medical issues but also their access barriers and social support

Recognizing the Needs of High-Need High-Risk Veterans

Understanding the needs of higher-risk older adult patients can support the delivery of high quality and patient-centered healthcare. We sought to characterize the physical, functional, social and psychological needs of High-Need High-Risk (HNHR) Veterans. We hypothesized that the concept of frailty could be useful in identifying the highest-risk HNHR patients and characterizing their needs. We conducted a cross-sectional study of Veterans in the Miami Veterans Affairs Healthcare System who were identified as High-Need High-Risk by the Department of Veterans Affairs (VA) using data analytic techniques. We analyzed data of 634 Veterans who completed questionnaires by mail, telephone or in person. We assessed the Veterans' frailty status and needs in the physical, functional, psychological and social domains. Beyond descriptive statistics, we used Chi-square ( ) test, one-way ANOVA and Kruskal-Wallis to analyze whether there were differences in Veterans' needs in relation to frailty status. The HNHR Veterans who participated in the questionnaire had complex needs that spanned the physical, functional, psychological, and social domains. We observed a potential mismatch between functional needs and social support; over two-thirds of respondents endorsed having dependence in at least one ADL but only about a third of respondents reported having a caregiver. Patients with frailty had higher levels of functional dependence and were more likely than the other HNHR respondents to report recent falls, recent hospitalizations, depression, and transportation issues. High-Need High-Risk Veterans have complex needs related to the physical, functional, psychological and social domains. Within the HNHR population, HNHR Veterans with frailty appear to have particularly high levels of risk and multidomain needs. Increased attention to identifying members of these groups and aligning them with biopsychosocial interventions that are targeted to their specific needs may support development of appropriate strategies and care-models to support HNHR Veterans

AGE- AND ETHNICITY-RELATED DISPARITIES IN TECHNOLOGY USE AMONG HIGH-RISK VETERANS

Using predictive analytic modelling, the Veterans Affairs has identified Veterans considered to be High Need High Risk (HNHR) requiring increased support. This pilot study sent needs assessment questionnaires to 1112 HNHR Veterans to better understand gaps regarding technology use, access, physical function, and mobility. There were 341(30.7%) respondents: 270(80.4%) Non-Hispanic, 64(18.8%) Hispanic/Latino; 210(61.6%) White, 119(34.9%) Black/African Americans; and 310(90.4%) had ≥high school education. Average Barthel(ADL) score was 81.5±22.8 and Lawton(IADL) score was 5.8±2.2. Younger Veterans (age<70) were more likely able to use Internet ((117(65%) vs 74(46%)),(p≤0.01) and email (106(58.9%) vs 67(41.6%),( p≤0.01). They were also more likely enrolled in MyHealtheVet (87(48.3%) vs 58(36%),(p=0.043). Secure messaging was used by 62(34.3%) younger and 37(23%) older Veterans,(p=0.026). More higher functioning Veterans (140(55.1%)) used email than lower functioning (33(37.9%)),(p=0.018). Among higher functioning Veterans, 148(58.3%) were willing to use videoconference for care coordination and 116(45.7%) owned a smartphone or computer with camera for this; more than lower functioning Veterans (33(37.9%) and 28(32.2%)), (p≤0.01 for both). Less dependent Veterans preferred to be contacted via cellphone (88(62.4%)) or Internet (10(7.1%)) compared to the more dependent (96(48%) and 6(3%)) respectively (p=0.01). Only 71(44.1%) of older Veterans were willing to use videoconference (p≤0.01) and 54(33.5%) owned a smartphone or computer with camera,(p≤0.01). There are significant variations in technology use by age and ethnicity. However, although there are differences by functional ability, a significant number of disabled veterans are willing and able to use technology, and this may provide a way to address access barriers in this population