Faculty Bibliography

The rapid deployment of video visits during COVID-19 may have posed unique challenges for home-based primary care (HBPC) practices due to their hands-on model of care and older adult population. This qualitative study examined provider perceptions of video visits during the first wave of the COVID-19 crisis in New York City (NYC) through interviews with HBPC clinical/medical directors, program managers, nurse practitioners/nurse managers, and social work managers (n = 13) at six NYC-area practices. Providers reported a combination of commercial (health system-supported) and consumer (e.g., FaceTime) technological platforms was essential. Video visit benefits included triaging patient needs, collecting patient information, and increasing scheduling capacity. Barriers included cognitive and sensory abilities, technology access, reliance on caregivers and aides, addressing sensitive topics, and incomplete exams. Effectively integrating video visits requires considering how technology can be proactively integrated into practice. A policy that promotes platform flexibility will be crucial in fostering video integration.

Homebound older adults are a highly vulnerable population, yet little is known about their experiences with healthcare during the COVID-19 pandemic. We interviewed patients in home-based primary care (HBPC) in New York City by telephone in May and June of 2020. Interviews covered social supports, household activities, self-care, and medical care, and asked participants to compare current with prepandemic experiences. Among 70 participants, 37% were Black and 32% were Hispanic. Disruptions in the home included greater difficulty accessing paid caregivers (13.9%) and food (35.3%) than before the pandemic, and unaddressed household chores (laundry, 81.4%; food preparation, 11.4%). Black study participants were more likely than White and Hispanic participants to report disruptions in accessing medical care (13 [50.0%] vs. 3 [14.3%] vs. 6 [27.3%], respectively, p = 0.02), as well as food preparation and medication taking. Black patients in HBPC are at risk of disparities in healthcare and social support during the COVID-19 pandemic.

Background/UNASSIGNED:Multiple sclerosis (MS) is an autoimmune disease leading to physical, emotional and cognitive disability. High body mass index (BMI) may impact cognitive function and brain volume in MS. Yet, there is paucity of evidence addressing the impact of BMI on cognitive function and brain volume in MS. Objectives/UNASSIGNED:The purpose of this study was to examine the effects of BMI on normal appearing brain volume and cognitive function in patients with relapsing-remitting MS. Methods/UNASSIGNED:A secondary data analysis of the NIH CombiRx study was conducted. Multivariate regression and mixed model analyses were executed to analyze the effect of BMI on brain volume and cognitive function. Results/UNASSIGNED:(SD = 6.7). The multivariate regression and mixed model analyses failed to show a clinical effect of BMI on brain volume and cognitive function. Conclusion/UNASSIGNED:BMI did not show an effect on cognitive function and brain volume among MS patients. Although there is increased interest in the effects of modifiable factors on the course of MS, the effects of BMI on brain volume and cognitive function are debatable and warrant further research.ClinicalTrials.gov NCT00211887.

Research on professional burnout during the pandemic has focused on hospital-based health care workers. This study examined the psychological impact of the pandemic on home-based primary care (HBPC) providers. We interviewed 13 participants from six HBPC practices in New York City including medical/clinical directors, program managers, nurse practitioners, and social workers and analyzed the transcripts using inductive qualitative analysis approach. HBPC providers experienced emotional exhaustion and a sense of reduced personal accomplishment. They reported experiencing grief of losing many patients at once and pressure to adapt to changing circumstances quickly. They also reported feeling guilty for failing to protect their patients and reduced confidence in their professional expertise. Strategies to combat burnout included shorter on-call schedules, regular condolence meetings to acknowledge patient deaths, and peer support calls. Our study identifies potential resources to improve the well-being and reduce the risk of burnout among HBPC providers.

BACKGROUND:Serious illness is characterized by high symptom burden that negatively affects quality of life (QOL). Although palliative care research has highlighted symptom burden in seriously ill adults with cancer, symptom burden among those with noncancer serious illness and multiple chronic conditions has been understudied. Latent class analysis is a statistical method that can be used to better understand the relationship between severity of symptom burden and covariates, such as the presence of multiple chronic conditions. Although latent class analysis has been used to highlight subgroups of seriously ill adults with cancer based on symptom clusters, none have incorporated multiple chronic conditions. OBJECTIVES:The objectives of this study were to (a) describe the demographic and baseline characteristics of seriously ill adults at the end of life in a palliative care cohort, (b) identify latent subgroups of seriously ill individuals based on severity of symptom burden, and (c) examine variables associated with latent subgroup membership, such as QOL, functional status, and the presence of multiple chronic conditions. METHODS:A secondary data analysis of a palliative care clinical trial was conducted. The latent class analysis was based on the Edmonton Symptom Assessment System, which measures nine symptoms on a scale of 0-10 (e.g., pain, fatigue, nausea, depression, anxiousness, drowsiness, appetite, well-being, and shortness of breath). Clinically significant cut-points for symptom severity were used to categorize each symptom item in addition to a categorized total score. RESULTS:Three latent subgroups were identified (e.g., low, moderate, and high symptom burden). Lower overall QOL was associated with membership in the moderate and high symptom burden subgroups. Multiple chronic conditions were associated with statistically significant membership in the high symptom burden latent subgroup. Older adults between 65 and 74 years had a lower likelihood of moderate or high symptom burden subgroup membership compared to the low symptom burden class. DISCUSSION:Lower QOL was associated with high symptom burden. Multiple chronic conditions were associated with high symptom burden, which underlines the clinical complexity of serious illness. Palliative care at the end of life for seriously ill adults with high symptom burden must account for the presence of multiple chronic conditions.

The objective of this study was to characterize multiple chronic conditions (MCCs) among seriously ill adults receiving palliative care at the end of life. A latent class analysis was conducted to identify latent subgroups of seriously ill older adults based on a baseline Charlson comorbidity index (CCI) measurement, a measure of comorbidity burden, and mortality risk. The three latent subgroups were: (1) low to moderate CCI with MCC, (2) high CCI with MCC, and (3) high CCI and metastatic cancer. The "low to moderate CCI and MCC" subgroup included older adults with chronic obstructive pulmonary disease (COPD), cardiovascular disease, congestive heart failure, myocardial infarction, dementia, diabetes, and lymphoma. A "high CCI and MCC" subgroup included individuals with severe illness including liver or renal disease among other MCCs. A "high CCI and metastatic cancer" included all participants with metastatic cancer. This study sheds light on the MCC profile of seriously ill adults receiving palliative care.

OBJECTIVES/OBJECTIVE:Individual-level social needs have been shown to substantially impact emergency department (ED) care transitions of older adults. The Geriatric Emergency care Applied Research (GEAR) Network aimed to identify care transition interventions, particularly addressing social needs, and prioritize future research questions. METHODS:GEAR engaged 49 interdisciplinary stakeholders, derived clinical questions, and conducted searches of electronic databases to identify ED discharge care transition interventions in older adult populations. Informed by the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE) framework, data extraction and synthesis of included studies included the degree that intervention components addressed social needs and their association with patient outcomes. GEAR convened a consensus conference to identify topics of highest priority for future care transitions research. RESULTS:Our search identified 248 unique articles addressing care transition interventions in older adult populations. Of these, 17 individual care transition intervention studies were included in the current literature synthesis. Overall, common care transition interventions included coordination efforts, comprehensive geriatric assessments, discharge planning, and telephone or in-person follow-up. Fourteen of the 17 care transition intervention studies in older adults specifically addressed at least one social need within the PRAPARE framework, most commonly related to access to food, medicine, or health care. No care transition intervention addressing social needs in older adult populations consistently reduced subsequent health care utilization or other patient-centered outcomes. GEAR stakeholders identified that determining optimal outcome measures for ED-home transition interventions was the highest priority area for future care transitions research. CONCLUSIONS:ED care transition intervention studies in older adults frequently address at least one social need component and exhibit variation in the degree of success on a wide array of health care utilization outcomes.

OBJECTIVES/OBJECTIVE:Approximately 7.5 million US adults are homebound or have difficulty accessing office-based primary care. Home-based primary care (HBPC) provides such patients access to longitudinal medical care at home. The purpose of this study was to describe the challenges and adaptations by HBPC practices made during the first surge of the COVID-19 pandemic. DESIGN/METHODS:Mixed-methods national survey. SETTING AND PARTICIPANTS/METHODS:HBPC practices identified as members of the American Academy of Homecare Medicine (AAHCM) or participants of Home-Centered Care Institute (HCCI) training programs. METHODS:Online survey regarding practice responses to COVID-19 surges, COVID-19 testing, the use of telemedicine, practice challenges due to COVID-19, and adaptations to address these challenges. Descriptive statistics and t tests described frequency distributions of nominal and categorical data; qualitative content analysis was used to summarize responses to the open-ended questions. RESULTS:Seventy-nine practices across 29 states were included in the final analyses. Eighty-five percent of practices continued to provide in-person care and nearly half cared for COVID-19 patients. Most practices pivoted to new use of video visits (76.3%). The most common challenges were as follows: patient lack of familiarity with telemedicine (81.9%), patient anxiety (77.8%), clinician anxiety (69.4%), technical difficulties reaching patients (66.7%), and supply shortages including masks, gown, and disinfecting materials (55.6%). Top adaptive strategies included using telemedicine (95.8%), reducing in-person visits (81.9%), providing resources for patients (52.8%), and staff training in PPE use and COVID testing (52.8%). CONCLUSIONS AND IMPLICATIONS/CONCLUSIONS:HBPC practices experienced a wide array of COVID-19-related challenges. Most continued to see patients in the home, augmented visits with telemedicine and creatively adapted to the challenges. An increased recognition of the need for in-home care by health systems who observed its critical role in caring for fragile older adults may serve as a silver lining to the otherwise dark sky of the COVID-19 pandemic.

PURPOSE/OBJECTIVE:Telehealth's uptake has increased substantially in recent years, with an especially large jump in 2020 due to the emergence of COVID-19. This article provides background on and explores "telepresence" in healthcare literature. Telepresence strongly impacts the patient experience, but it is poorly defined in current research. The aim was to conceptually define telepresence using qualitative methods. DESIGN/METHODS:Dimensional analysis was used to analyze telepresence in clinical literature and create a clearer definition of telepresence as a concept. Multiple databases were searched for articles related to telepresence. Thirteen international articles related to telepresence were selected for analysis. METHODS:Dimensional analysis allowed for multiple viewpoints to be explored within each distinct context and perspective. FINDINGS/RESULTS:Twenty-five dimensions were discovered within the articles, which were synthesized to seven core dimensions of telepresence: connection, technological mediation, experienced realism, trust, being supportive, collaboration, and emotional consequence. CONCLUSIONS:Telepresence is highly impactful on the patient's experience of telehealth care visits. The conceptual map produced by this dimensional analysis provides direction for clinicians to improve their ability to be present with patients during telehealth care. Potential implications include a starting point for future qualitative research, and the use of this dimensional analysis to inform clinical guidelines, improve clinician training, and assist in the development of new care models. CLINICAL RELEVANCE/CONCLUSIONS:A telepresence definition brings clarity to an ill-defined concept. COVID-19 magnifies the need for a better understanding of telepresence, which allows clinicians to improve telehealth encounters.