Variability in spousal perceptions of caregiving and its relationship to older caregiver health outcomes.

BACKGROUND: The transition to later-life caregiving roles, especially for couples caring for each other, can be rife with ambiguity. The incident discordance in spousal perceptions of one another's role and its relationship to mental health outcomes have not been well-described. OBJECTIVES: (1) To describe the range of daily agreement between older adult spouses' perceptions of care given and care received; (2) to explore associations between caregiving agreement and daily caregiver depression, anxiety, and marital satisfaction; and (3) to evaluate differential effects for male and female caregivers. DESIGN: Cross-sectional, ecological assessment (daily diary). PARTICIPANTS: Sample of 191 couples aged 60-64 (total 5196 daily surveys) drawn from the longitudinal Life and Family Legacies study. MAIN MEASURES: During 2011-2012, spouses independently completed 14 consecutive daily surveys about their mood, marital interactions, and support exchanges. Caregiving agreement was defined as the daily ratio of spouse-reported care received to self-reported care given. Using generalized linear mixed effect modeling, we examined associations between spousal care agreement and outcomes of depression, anxiety, and marital satisfaction. KEY RESULTS: Sample data demonstrated broad variability in spousal agreement, with couples exhibiting substantial disagreement on nearly one-third of couple days (780/2598 days). On days where care was exchanged, higher caregiving agreement was associated with lower caregiver depression (p < 0.01) and anxiety (p < 0.01) in male caregivers, and higher marital satisfaction (p = 0.03) in female caregivers. When care recipients reported receiving more support than their spouse reported giving, these associations did not persist. CONCLUSIONS: Findings suggest that spousal agreement about the amount of care given and received varies broadly and is an important consideration for primary care providers who counsel these patients day-to-day. Furthermore, agreement appears to predict mental health and relationship outcomes and should be further evaluated in this growing population of mid-to-late life adults emerging into caregiving.

NCCN Guidelines Insights: Older Adult Oncology, Version 2.2016.

Cancer is the leading cause of death in older adults aged 60 to 79 years. Older patients with good performance status are able to tolerate commonly used treatment modalities as well as younger patients, particularly when adequate supportive care is provided. For older patients who are able to tolerate curative treatment, options include surgery, radiation therapy (RT), chemotherapy, and targeted therapies. RT can be highly effective and well tolerated in carefully selected patients, and advanced age alone should not preclude the use of RT in older patients with cancer. Judicious application of advanced RT techniques that facilitate normal tissue sparing and reduce RT doses to organs at risk are important for all patients, and may help to assuage concerns about the risks of RT in older adults. These NCCN Guidelines Insights focus on the recent updates to the 2016 NCCN Guidelines for Older Adult Oncology specific to the use of RT in the management of older adults with cancer.

Assessing cognitive function and capacity in older adults with cancer.

The number of older individuals with cancer is increasing exponentially, mandating that oncologists contemplate more comprehensive and multidisciplinary approaches to treatment of this cohort. Recruitment of assessment instruments validated in older patients can be invaluable for guiding treatment and decision-making by both patients and providers, and can arguably contribute to improving outcomes and health-related quality of life. The Comprehensive Geriatric Assessment is one such validated instrument that can be used by oncologists to assess patient readiness and appropriateness for prescribed cancer therapy. As a multidisciplinary diagnostic and treatment process, it comprises functional status, cognitive status, social support, and advance care preferences, and is an ideal instrument for evaluating complex older individuals. It is well established that many older individuals with cancer travel with multiple comorbid illnesses, including cognitive impairment, and when presented with a cancer diagnosis struggle to choose from multiple treatment options. In addition to the complete medical history, the ability of patients to decide on a course of therapy in concert with their oncologist is critically important. Alternatively, many oncologists are conflicted as to whether true informed consent for treatment can be obtained from many older patients. Having a roadmap to decision-making capacity is therefore an inescapable imperative in geriatric oncology, because careful attention must be directed at identifying older patients with cancer who might benefit from these assessments and the individualized treatment plans that emerge.

Senior adult oncology, version 2.2014: clinical practice guidelines in oncology .

Cancer is the leading cause of death in older adults aged 60 to 79 years. The biology of certain cancers and responsiveness to therapy changes with the patient's age. Advanced age alone should not preclude the use of effective treatment that could improve quality of life or extend meaningful survival. The challenge of managing older patients with cancer is to assess whether the expected benefits of treatment are superior to the risk in a population with decreased life expectancy and decreased tolerance to stress. These guidelines provide an approach to decision-making in older cancer patients based on comprehensive geriatric assessment and also include disease specific issues related to age in the management of some cancer types in older adults.

A Clinical Pharmacist-Led Transitions of Care Program for Veterans with Two Planned Care Transitions (Hospital to Skilled Care and Skilled Care to Home) amid the COVID-19 Pandemic.

Transitional care teams have been shown to improve patient safety. We describe a novel transitional care team with a clinical pharmacist as team leader initiated amid the COVID-19 pandemic. The program focused on Veterans with 2 planned transitions of care: hospital to skilled nursing facility (SNF) and from SNF to home. Ninety older Veterans were enrolled, and 79 medication errors and 80 appointment errors were identified. We conclude that a pharmacist-led program can improve safety in patients with 2 planned transitions of care.

Caregiver-specific quality measures for home- and community-based services: Environmental scan and stakeholder priorities.

Although family caregivers are increasingly recognized for their essential role in helping vulnerable adults live in the community for as long as possible, their priorities and perspectives have not been well-integrated into quality assessments of home- and community-based services (HCBS). Our overall goal was to identify measurement gaps to guide monitoring and improve HCBS. Caregiver-specific measurement priorities were identified during a multi-level stakeholder engagement process that included 34 Veterans, 24 caregivers, and 39 facility leaders, clinicians, and staff across four VA healthcare systems. We mapped items from national quality measure sets for HCBS identified during an environmental scan onto the stakeholder-identified measurement priorities. Only 5 of 11 non-VA measure sets and three of four VA measure sets explicitly included caregiver-specific items that were aligned with or relevant to stakeholders' measurement priorities. Six of 14 stakeholder-identified priorities were not reflected in any measure sets, such as those that explicitly assess caregiver-reported experience with services that directly or indirectly support their role as caregivers within HCBS. Although family caregivers fulfill a critical role in helping adults with complex medical needs live independently for as long as possible, their priorities and perspectives have not been well-integrated into quality assessments of HCBS. Measures that acknowledge caregivers' roles and incorporate their priorities can help healthcare systems to better monitor and improve HCBS quality, thereby enabling Veterans to remain in the community as long as possible.

Impact of Veterans Affairs Geriatric Research, Education, and Clinical Centers: Incubators of innovation in geriatrics.

Since their inception in 1975, the Department of Veterans Affairs Geriatric Research, Education, and Clinical Centers (GRECCs) have served as incubators of innovation in geriatrics. Their contributions to the VA mission were last reviewed in 2012. Herein, we describe the continuing impact of GRECCs in research, clinical, and educational areas, focusing on the period between 2018 and 2022. GRECC research spans the continuum from bench to bedside, with a growing research portfolio notable for highly influential publications. GRECC education connects healthcare professions trainees and practicing clinicians, as well as Veterans and their caregivers, to engaging learning experiences. Clinical advancements, including age-friendly care, span the continuum of care and leverage technology to link disparate geographical sites. GRECCs are uniquely positioned to serve older adults given their alignment with the largest integrated health system in the United States and their integration with academic health centers. As such, the GRECCs honor Veterans as they age by building VA capacity to care for the increasing number of aging Veterans seeking care from VA. GRECC advancements also benefit non-VA healthcare systems, their academic affiliates, and non-Veteran older adults. GRECCs make invaluable contributions to advancing geriatric and gerontological science, training healthcare professionals, and developing innovative models of geriatric care.

Age-friendly care in the Veterans Health Administration: Past, present, and future.

The Veterans Health Administration (VHA) has long recognized the need for age-friendly care. VHA leadership anticipated the impact of aging World War II veterans on VA healthcare systems and in 1975 developed Geriatric Research, Education, and Clinical Centers (GRECCs) to meet this need. GRECCs catalyzed a series of innovations in geriatric models of care that span the continuum of care, most of which endure. These innovative care models also contributed to the evidence base supporting the present-day Age-Friendly Health Systems movement, with which VHA is inherently aligned. As both a provider of and payor for care, VHA is strongly incentivized to promote coordination across the continuum of care, with resultant cost savings. VHA is also a major contributor to developing the workforce that is essential for the provision of age-friendly care. As VHA continues to develop and refine innovative geriatric models of care, policymakers and non-VHA health care systems should look to VHA programs as exemplars for the development and implementation of age-friendly care.

Neuropsychiatric symptoms in people living with dementia receiving home health services.

BACKGROUND: We sought to describe neuropsychiatric symptoms (NPS) among people living with dementia (PLWD) from diverse racial and ethnic groups receiving home health services while accounting for dementia severity, individual symptom prevalence, and neighborhood disadvantage. METHODS: A prospective study using cross-sectional data from n = 192 PLWD receiving skilled home healthcare in New Jersey enrolled in the Dementia Symptom Management at Home Program trial. We prospectively measured symptom prevalence with the Neuropsychiatric Inventory Questionnaire and dementia severity using the Quick Dementia Rating System. A one-way ANOVA determined NPS prevalence by dementia severity (mild, moderate, severe). Fisher's exact tests were used to assess the association of individual symptom prevalence with race and ethnicity and cross tabs to descriptively stratify individual symptom prevalence by dementia severity among groups. A Pearson correlation was performed to determine if a correlation existed among neighborhood disadvantages measured by the Area Deprivation Index (ADI) state decile scores and NPS prevalence and severity. RESULTS: Participants identified as non-Hispanic White (50%), non-Hispanic Black (30%), or Hispanic (13%). NPS were prevalent in 97% of participants who experienced 5.4 ± 2.6 symptoms with increased severity (10.8 ± 6.6) and care partner distress (13.8 ± 10.8). NPS increased with dementia severity (p = 0.004) with the greatest difference seen between individuals with mild dementia (4.3 ± 2.3) versus severe dementia (5.9 ± 2.3; p = 0.002). Few differences were found in symptom prevalence by racial and ethnic sub-groups. Nighttime behaviors were higher in non-Hispanic Black (78%), compared with non-Hispanic Whites (46%) with moderate dementia, p = 0.042. State ADI scores were not correlated with the number of NPS reported, or severity. CONCLUSIONS: NPS were prevalent and increased with dementia severity with commonalities among racial and ethnic groups with varying levels of neighborhood disadvantage. There is a need for effective methods for improving NPS identification, assessment, and management broadly for homebound PLWD.

Historical and Current Advances That Incorporate Competing Risk for Benefit and Mortality in Older Patients With Cancer.

Competing risk occurs when patients have >1 disease or condition that can affect an important outcome, such as mortality. In older adults who develop cancer, the presence of comorbid chronic diseases or functional impairments can change the likelihood that the cancer will lead to an adverse outcome. The recognition and incorporation of competing risk into oncology research started during the experimental development of chemotherapy. A related concept of considering performance status in clinical trials of cancer therapies also occurred in the context of treatment interventions using chemotherapy. Statistical methodologies for competing risk have advanced substantially over time, and a patient's performance measurements remain common in deciding how best to care for older patients with cancer. The historical development of these 2 uses of competing risk, statistical adjustment in research and patient performance measurement, is explained. Furthermore, this article discusses more recent advances in merging these 2 approaches. Particular attention is given to advances in calculating life expectancy that are specific to a patient's condition, status, or setting, and to describing how these estimates might be used to inform decisions about cancer care in older patients. Frameworks for moving beyond mortality as the only considered competing outcome to describe other outcomes, such as functional loss or the need for institutionalization, are also described. Finally, approaches that could more fully leverage the advanced methods for incorporating competing risks into clinical decision making are presented.

Veterans as Caregivers: Those Who Continue to Serve.

Provider referrals are effective for connecting caregiving veterans to community-based resources, which can provide necessary support that reduces the caregiving burden.

Supporting Caregivers of Rural Veterans Electronically (SCORE).

BACKGROUND: The increasing prevalence of dementia, including among rural veterans, highlights the improved outcomes possible for caregivers who receive effective support. However, providing these complex interventions in rural areas presents challenges. Internet-based and telephone-based caregiver support can potentially expand access to effective support. METHODS: We designed a multisite intervention for caregivers of veterans with dementia. Caregivers were stratified into 2 cohorts based on their use or nonuse of the Internet. Each cohort was then randomized to either a technology or telephone-delivered support group within each cohort. All groups had a care manager who monitored the 4- to 6-month multicomponent program of assessments, educational content, and skills training. Caregiver outcome measures included burden, anticipatory grief, depression, family conflict, and a desire to institutionalize the care recipient. RESULTS: The majority of comparative effectiveness outcomes were not different between caregivers receiving technology interventions versus those receiving telephone-delivered support. This was true for the 68% of caregivers using home Internet and the 32% nonusers, as well as the 53% rural versus 47% urban caregivers. For experienced Internet users, a meaningful difference in the Marwit Grief Inventory was noted for caregivers receiving Internet versus telephone support, particularly for the Isolation Subscale. CONCLUSION: This study demonstrates the feasibility and acceptability of using a variety of modalities to deliver caregiver support to a group of largely older, rural, spousal caregivers of veterans with dementia. The potential for reducing isolation for caregivers capable of receiving this intervention through the Internet is a promising finding.

Self-reported delay in seeking care has poor validity for predicting adverse outcomes.

OBJECTIVES: To determine whether self-reports of delayed care predict increased mortality and functional decline in community-dwelling elderly. DESIGN: Longitudinal cohort study. SETTING: Five counties in North Carolina. PARTICIPANTS: A total of 4,162 randomly sampled individuals aged 65 and older. MEASUREMENTS: The primary outcome was the proportional hazard ratio (HR) for death in cohorts stratified by self-reports of delayed or foregone care. A secondary outcome, functional decline, measured the cohorts' odds of developing increased dependency in activities of daily living (ADLs). Control variables included predisposing, enabling, and need factors. RESULTS: Of 3,964 eligible participants reporting, 61% never, 27% once in a while, and 12% quite often delayed care. Over 3 years, 13% of participants died, and 17% developed increased ADL dependency. Nevertheless, in unadjusted and adjusted models, neither 3-year mortality HRs nor the odds of functional decline differed between cohorts reporting varying degrees of delayed care. Survival probabilities remained higher for 15 years among those reporting delaying care often. CONCLUSION: The inability of self-reported delay to predict adverse outcomes in community-dwelling elderly suggests the need for better understanding and support of the care-seeking process and additional measures of timeliness of access.

Review of Veterans Health Administration telemedicine interventions.

The Veterans Health Administration (VHA) is a leader in developing and implementing innovative healthcare technology. We review 19 exemplary peer-reviewed articles published between 2000 and 2009 of controlled, VHA-supported telemedicine intervention trials that focused on health outcomes. These trials underscore the role of telemedicine in large managed healthcare organizations in support of (1) chronic disease management, (2) mental health service delivery through in-home monitoring and treatment, and (3) interdisciplinary team functioning through electronic medical record information interchange. Telemedicine is advantageous when ongoing monitoring of patient symptoms is needed, as in chronic disease care (eg, for diabetes) or mental health treatment. Telemedicine appears to enhance patient access to healthcare professionals and provides quick access to patient medical information. The sustainability of telemedicine interventions for the broad spectrum of veteran patient issues and the ongoing technology training of patients and providers are challenges to telemedicine-delivered care.

Out-of-pocket pharmacy expenditures for veterans under medicare part D.

OBJECTIVES: Because the VA pharmacy benefit is deemed equivalent coverage to Medicare Part D, veterans can use either or both of these Federal benefits. We sought to determine how these programs' different benefit structures and low-income assistance thresholds would affect pharmacy out-of-pocket expenses for veterans. METHODS: We reviewed income and asset tests performed at the Salt Lake City VA in fiscal year 2005, and estimated the number of individuals, age 65 and older, who meet eligibility for Part D low-income assistance. Using past VA pharmacy utilization data, we estimated the difference in pharmacy out-of-pocket expenditures for veterans eligible for assistance through Medicare but not through the VA. RESULTS: The income and asset thresholds for low-income assistance through Part D were reached by 4127 veterans. From this group, we identified 926 veterans who had used the VA pharmacy during the prior year, who are ineligible for VA copayment waivers, and who qualify for premium waiver under Part D. These veterans' estimated annual savings ranged from $6 to $714, with an average savings of $353 per year (or 2% of their average annual income) by using Part D. CONCLUSIONS: Although VA pharmacy coverage has been deemed to be, on average, equivalent to Part D, some veterans living near poverty can reduce out-of-pocket expenditures by using Medicare prescription coverage. Currently available data can identify veterans who are likely to achieve savings under Medicare.

Developing indicators of inpatient adverse drug events through nonlinear analysis using administrative data.

BACKGROUND: Because of uniform availability, hospital administrative data are appealing for surveillance of adverse drug events (ADEs). Expert-generated surveillance rules that rely on the presence of International Classification of Diseases, 9th Revision Clinical Modification (ICD-9-CM) codes have limited accuracy. Rules based on nonlinear associations among all types of available administrative data may be more accurate. OBJECTIVES: By applying hierarchically optimal classification tree analysis (HOCTA) to administrative data, derive and validate surveillance rules for bleeding/anticoagulation problems and delirium/psychosis. RESEARCH DESIGN: Retrospective cohort design. SUBJECTS: A random sample of 3987 admissions drawn from all 41 Utah acute-care hospitals in 2001 and 2003. MEASURES: Professional nurse reviewers identified ADEs using implicit chart review. Pharmacists assigned Medical Dictionary for Regulatory Activities codes to ADE descriptions for identification of clinical groups of events. Hospitals provided patient demographic, admission, and ICD9-CM data. RESULTS: Incidence proportions were 0.8% for drug-induced bleeding/anticoagulation problems and 1.0% for drug-induced delirium/psychosis. The model for bleeding had very good discrimination and sensitivity at 0.87 and 86% and fair positive predictive value (PPV) at 12%. The model for delirium had excellent sensitivity at 94%, good discrimination at 0.83, but low PPV at 3%. Poisoning and adverse event codes designed for the targeted ADEs had low sensitivities and, when forced in, degraded model accuracy. CONCLUSIONS: Hierarchically optimal classification tree analysis is a promising method for rapidly developing clinically meaningful surveillance rules for administrative data. The resultant model for drug-induced bleeding and anticoagulation problems may be useful for retrospective ADE screening and rate estimation.