Sex differences in unmet needs between male and female older veterans.

Aging Veterans face complex needs across multiple domains. However, the needs of older female Veterans and the degree to which unmet needs differ by sex are unknown. We analyzed responses to the HERO CARE survey from 7,955 Veterans aged 55 years and older (weighted N = 490,148), 93.9% males and 6.1% females. We evaluated needs and unmet needs across the following domains: activities of daily living (ADLs), instrumental ADLs (IADLs), health management, and social. We calculated weighted estimates and compared sex differences using age-adjusted prevalence ratios. On average, female Veterans were younger, more were Non-Hispanic Black and unmarried. Females and males reported a similar prevalence of problems across all domains. However, compared to males, female Veterans had a lesser prevalence of missed appointments due to transportation (aPR 0.49; 95% CI: 0.26-0.92), housework unmet needs (aPR: 0.44; 95% CI: 0.20-0.97), and medication management unmet needs (aPR: 0.33; 95% CI: 0.11-0.95) but a higher prevalence of healthcare communication unmet needs (aPR: 2.40; 95% CI: 1.13-5.05) and monitoring health conditions unmet needs (aPR: 2.13, 95% CI: 1.08-4.20). Female Veterans' common experience of unmet needs in communicating with their healthcare teams could result in care that is less aligned with their preferences or needs. As the number of older female Veterans grows, these data and additional work to understand sex-specific unmet needs and ways to address them are essential to providing high-quality care for female Veterans.

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.

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.

Identifying clinical phenotypes of frontotemporal dementia in post-9/11 era veterans using natural language processing.

Introduction: Frontotemporal dementia (FTD) encompasses a clinically and pathologically diverse group of neurodegenerative disorders, yet little work has quantified the unique phenotypic clinical presentations of FTD among post-9/11 era veterans. To identify phenotypes of FTD using natural language processing (NLP) aided medical chart reviews of post-9/11 era U.S. military Veterans diagnosed with FTD in Veterans Health Administration care. Methods: A medical record chart review of clinician/provider notes was conducted using a Natural Language Processing (NLP) tool, which extracted features related to cognitive dysfunction. NLP features were further organized into seven Research Domain Criteria Initiative (RDoC) domains, which were clustered to identify distinct phenotypes. Results: Veterans with FTD were more likely to have notes that reflected the RDoC domains, with cognitive and positive valence domains showing the greatest difference across groups. Clustering of domains identified three symptom phenotypes agnostic to time of an individual having FTD, categorized as Low (16.4%), Moderate (69.2%), and High (14.5%) distress. Comparison across distress groups showed significant differences in physical and psychological characteristics, particularly prior history of head injury, insomnia, cardiac issues, anxiety, and alcohol misuse. The clustering result within the FTD group demonstrated a phenotype variant that exhibited a combination of language and behavioral symptoms. This phenotype presented with manifestations indicative of both language-related impairments and behavioral changes, showcasing the coexistence of features from both domains within the same individual. Discussion: This study suggests FTD also presents across a continuum of severity and symptom distress, both within and across variants. The intensity of distress evident in clinical notes tends to cluster with more co-occurring conditions. This examination of phenotypic heterogeneity in clinical notes indicates that sensitivity to FTD diagnosis may be correlated to overall symptom distress, and future work incorporating NLP and phenotyping may help promote strategies for early detection of FTD.

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.

Association between specific unmet functional needs and desire to institutionalize among caregivers of older veterans.

OBJECTIVES: To evaluate the associations between specific functional needs of older Veterans and the desire to institutionalize (DTI) among their caregivers. METHODS: Cross-sectional multivariable logistic regression analysis of 3579 Hero Care survey responses from caregivers of Veterans at five US sites from July to December 2021. Unmet needs were areas in which the caregiver reported the Veteran needed a little more or a lot more help. Caregiver DTI was defined as the caregiver reporting that they had discussed, considered, or taken steps toward a nursing home or assisted living placement for the Veteran or that they felt the Veteran would be better off in such a setting or they were likely to move the Veteran to another living arrangement. RESULTS: Caregivers were largely white, retired, females with an average age of 71 and with some college education who spent an average of 8-9 h per day 6 days a week caring for a Veteran spouse. There was evidence of associations between the following needs and a DTI: managing incontinence, using the telephone, transportation, and arranging services in the home such as visiting nurses, home care aides, or meals on wheels. Unmet functional needs in other selected domains were not associated with the DTI. CONCLUSION: Among caregivers of older Veterans, a need for more assistance managing incontinence, telephone use, transportation, and arranging in-home services were associated with the DTI. These may represent functional markers of important clinical determinants for institutionalization as well as potential targets for intervention to reduce caregiver DTI, such as programs that provide more caregiver or Veteran support in the home to meet these needs and reduce caregiver burden.

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.

Protocol for an embedded pragmatic clinical trial to test the effectiveness of Aliviado Dementia Care in improving quality of life for persons living with dementia and their informal caregivers.

INTRODUCTION: Persons living with Alzheimer's disease and related dementias (ADRD) frequently experience pain and behavioral and psychological symptoms of dementia (BPSD) which decrease quality of life (QOL) and influence caregiver burden. Home healthcare professionals however may underrecognize or lack the ability to manage BPSD. INTERVENTION: This protocol describes an ADRD palliative quality assurance performance improvement program for home healthcare, Aliviado Dementia Care-Home Health Edition. It includes training, mentoring, and a toolbox containing intervention strategies. METHODS: This embedded pragmatic clinical trial will utilize a multi-site, cluster randomized control design. Recruitment will occur from three home healthcare agencies located in New Jersey, Utah, and Florida. At each agency, care teams will be randomized as clusters and assigned to either the Aliviado Dementia Care program or usual care. We plan to enroll 345 persons living with ADRD and their informal caregiver dyads. The primary outcome will be to measure QOL in both the person living with ADRD and their informal caregiver, and emergency department visits and hospital admissions. Secondary outcomes in the person living with ADRD will include the examination of pain, BPSD, antipsychotic and analgesic use. Secondary outcomes in caregivers include burden, depressive symptoms, functional health and wellbeing, and healthcare utilization. CONCLUSION: This study will be the first large-scale embedded pragmatic clinical trial in home healthcare focused on care quality and outcomes in addressing QOL in ADRD. If proven successful, the intervention can then be disseminated to agencies throughout the country to improve the quality of care for this vulnerable, underserved population. TRIAL REGISTRATION: Clinical Trials.gov: NCT03255967.

Predicting Psychiatric Hospitalizations among Elderly Veterans with a History of Mental Health Disease.

INTRODUCTION: Patient Aligned Care Team (PACT) care managers are tasked with identifying aging Veterans with psychiatric disease in attempt to prevent psychiatric crises. However, few resources exist that use real-time information on patient risk to prioritize coordinating appropriate care amongst a complex aging population. OBJECTIVE: To develop and validate a model to predict psychiatric hospital admission, during a 90-day risk window, in Veterans ages 65 or older with a history of mental health disease. METHODS: This study applied a cohort design to historical data available in the Veterans Affairs (VA) Corporate Data Warehouse (CDW). The Least Absolute Shrinkage and Selection Operator (LASSO) regularization regression technique was used for model development and variable selection. Individual predicted probabilities were estimated using logistic regression. A split-sample approach was used in performing external validation of the fitted model. The concordance statistic (C-statistic) was calculated to assess model performance. RESULTS: Prior to modeling, 61 potential candidate predictors were identified and 27 variables remained after applying the LASSO method. The final model's predictive accuracy is represented by a C-statistic of 0.903. The model's predictive accuracy during external validation is represented by a C-statistic of 0.935. Having a previous psychiatric hospitalization, psychosis, bipolar disorder, and the number of mental-health related social work encounters were strong predictors of a geriatric psychiatric hospitalization. CONCLUSION: This predictive model is capable of quantifying the risk of a geriatric psychiatric hospitalization with acceptable performance and allows for the development of interventions that could potentially reduce such risk.

The Impact of a Change in the Price of VA Health Care on Utilization of VA and Medicare Services.

INTRODUCTION: The passage of the Veterans Access, Choice, and Accountability Act of 2014 has expanded the non-Veteran Affairs (VA) care options for eligible US Veterans. In order for these new arrangements to provide the best care possible for Veterans, it is important to understand the relationship between VA and non-VA care options. The purpose of this study was to use another recent VA policy change, one that increased the reimbursement rate that eligible Veterans receive for travel for health care to VA, to understand the use of VA and Medicare services among Medicare-enrolled Veterans. METHODS: We used a difference-in-difference technique to compare inpatient and outpatient utilization and cost in VA and Medicare between Veterans who were eligible for travel reimbursement and those who were not eligible following 2 increases in the travel reimbursement rate. We used generalized estimating equation models and 2-part models when cost outcomes were rare. RESULTS: Our cohort consisted of 110,007 Medicare-enrolled Veterans, including 25,076 under 65 and 84,931 over 65 years old. Following the travel reimbursement rate increases, the number of VA outpatient encounters increased for Veterans in our cohort regardless of age group or whether living in an urban or rural area. The number of non-VA outpatient encounters decreased significantly for Veterans in both age groups living in rural areas following these policy changes. CONCLUSIONS: Our estimates suggest that VA outpatient care may be a substitute for Medicare outpatient care for Medicare-enrolled Veterans living in rural areas. These results are important because they indicate how Veteran health care utilization might be affected by future policy changes designed to increase access to VA services. They also indicate the ripple effects that may occur in other health systems due to changes in the VA system.

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.

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.

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.

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.

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.

High Prevalence of Medication Discrepancies Between Home Health Referrals and Centers for Medicare and Medicaid Services Home Health Certification and Plan of Care and Their Potential to Affect Safety of Vulnerable Elderly Adults.

OBJECTIVES: To describe the prevalence of discrepancies between medication lists that referring providers and home healthcare (HH) nurses create. DESIGN: The active medication list from the hospital at time of HH initiation was compared with the HH agency's plan of care medication list. An electronic algorithm was developed to compare the two lists for discrepancies. SETTING: Single large hospital and HH agency in the western United States. PARTICIPANTS: Individuals referred for HH from the hospital in 2012 (N = 770, 96.3% male, median age 71). MEASUREMENTS: Prevalence was calculated for discrepancies, including medications missing from one list or the other and differences in dose, frequency, or route for medications contained on both lists. RESULTS: Participants had multiple medical problems (median 16 active problems) and were taking a median of 15 medications (range 1-93). Every participant had at least one discrepancy; 90.1% of HH lists were missing at least one medication that the referring provider had prescribed, 92.1% of HH lists contained medications not on the referring provider's list, 89.8% contained medication naming errors. 71.0% contained dosing discrepancies, and 76.3% contained frequency discrepancies. CONCLUSION: Discrepancies between HH and referring provider lists are common. Future work is needed to address possible safety and care coordination implications of discrepancies in this highly complex population.

Evaluation of an Electronic Module for Reconciling Medications in Home Health Plans of Care.

OBJECTIVES: Transitions in patient care pose an increased risk to patient safety. One way to reduce this risk is to ensure accurate medication reconciliation during the transition. Here we present an evaluation of an electronic medication reconciliation module we developed to reduce the transition risk in patients referred for home healthcare. METHODS: Nineteen physicians with experience in managing home health referrals were recruited to participate in this within-subjects experiment. Participants completed medication reconciliation for three clinical cases in each of two conditions. The first condition (paper-based) simulated current practice - reconciling medication discrepancies between a paper plan of care (CMS 485) and a simulated Electronic Health Record (EHR). For the second condition (electronic) participants used our medication reconciliation module, which we integrated into the simulated EHR. To evaluate the effectiveness of our medication reconciliation module, we employed repeated measures ANOVA to test the hypotheses that the module will: 1) Improve accuracy by reducing the number of unaddressed medication discrepancies, 2) Improve efficiency by reducing the reconciliation time, 3) have good perceived usability. RESULTS: The improved accuracy hypothesis is supported. Participants left more discrepancies unaddressed in the paper-based condition than the electronic condition, F (1,1) = 22.3, p < 0.0001 (Paper Mean = 1.55, SD = 1.20; Electronic Mean = 0.45, SD = 0.65). However, contrary to our efficiency hypothesis, participants took the same amount of time to complete cases in the two conditions, F (1, 1) =0.007, p = 0.93 (Paper Mean = 258.7 seconds, SD = 124.4; Electronic Mean = 260.4 seconds, SD = 158.9). The usability hypothesis is supported by a composite mean ability and confidence score of 6.41 on a 7-point scale, 17 of 19 participants preferring the electronic system and an SUS rating of 86.5. CONCLUSION: We present the evaluation of an electronic medication reconciliation module that increases detection and resolution of medication discrepancies compared to a paper-based process. Further work to integrate medication reconciliation within an electronic medical record is warranted.

Attitudes Toward Telemedicine in Urban, Rural, and Highly Rural Communities.

INTRODUCTION: The rate of telemedicine adoption using interactive video between patient and provider has not met expectations. Technology, regulations, and physician buy-in are cited reasons, but patient acceptance has not received much consideration. We examine attitudes regarding telemedicine to better understand the subjective definitions of its acceptability and utility that shape patients' willingness to use telemedicine. MATERIALS AND METHODS: Using the Montana Health Matters study (a random, statewide survey [n=3,512]), we use latent class analysis to identify groups with similar patterns of attitudes toward telemedicine followed by multinomial logistic regression to estimate predictors of group membership. RESULTS: Although only 5% are amenable to telemedicine regardless of circumstance, 23% would be comfortable if it could be convenient, whereas 29% would be situationally amenable but uncomfortable using telemedicine. Still, a substantial percentage (43%) is unequivocally averse to telemedicine despite the inconvenience of in-person visits. Educational attainment, prior Internet use, and rural residence are main predictors that increase the likelihood of being in an amenable group. CONCLUSIONS: From the patient's perspective, the advantages of reduced travel and convenience are recognized, but questions remain about the equivalence to physician visits. Many people are averse to telemedicine, indicating a perceived incompatibility with patient needs. Only 1.7% of the respondents reported using telemedicine in the previous year; about half were veterans. Hence, few have used telemedicine, and key innovation adoption criteria-trialability and observability-are low. Increased attention to public awareness in the adoption process is needed to increase willingness to embrace telemedicine as a convenient way to obtain quality healthcare services.