Determinants of Bluetooth-Enabled Self-Measured Blood Pressure Monitoring in Federally Qualified Health Centers.

BACKGROUND: In 2021, the Health Resources and Services Administration (HRSA) launched the National Hypertension Control Initiative (HTN Initiative) with the goal to enhance HTN control through Bluetooth-enabled self-measured blood pressure (BT-SMBP) monitoring and use this data to inform clinical decisions in Federally Qualified Health Centers (FQHCs) with a large proportion of their population with uncontrolled blood pressure (BP). We sought to understand the experience of Michigan-based FQHCs in implementing the HTN initiative. METHODS: Staff from three Michigan-based FQHCs were invited to participate in semi-structured interviews from September to November 2022. Interviews were conducted in-person and were based on the Tailored Implementation in Chronic Diseases framework. Content analysis was performed by three coders. RESULTS: Ten staff participated in interviews (FQHC 1: n = 6, FQHC 2: n = 1, FQHC 3: n = 3). The FQHCs differed in their stage of implementation and their approach. FQHC 1 created a large-scale, community health worker driven program, FQHC 2 created a small-scale, short term, BP device loan program, and FQHC 3 created a primarily outsourced, large-scale program through a contracted partner. Positive staff attitudes and outcome expectations, previous experience with SMBP grants, supportive clinic leadership, social support, and free BP cuff resources were identified as facilitators to implementation. Patients' high social needs, SMBP-related Technology, and insufficient workforce and staff capacity were identified as barriers. CONCLUSION: BT-SMBP among FQHC patients is promising but challenges in integrating SMBP data into clinic workflow, workforce capacity to support the high social needs of participants, and to assist in reacting to the more frequent BP data remain to be overcome.

National- and State-Level Trends in Medicare Hospice Beneficiaries for Stroke During 2013 to 2019 in the United States.

BACKGROUND: Stroke is the fifth leading cause of death in the United States, one of the leading contributors to Medicare cost, including through Medicare hospice benefits, and the rate of stroke mortality has been increasing since 2013. We hypothesized that hospice utilization among Medicare beneficiaries with stroke has increased over time and that the increase is associated with trends in stroke death rate. METHODS: Using Medicare Part A claims data and Centers for Disease Control mortality data at a national and state level from 2013 to 2019, we report the proportion and count of Medicare hospice beneficiaries with stroke as well as the stroke death rate (per 100 000) in Medicare-eligible individuals aged ≥65 years. RESULTS: From 2013 to 2019, the number of Medicare hospice beneficiaries with stroke as their primary diagnosis increased 104.1% from 78 812 to 160 884. The number of stroke deaths in the United States in individuals aged ≥65 years also increased from 109 602 in 2013 to 129 193 in 2019 (17.9% increase). In 2013, stroke was the sixth most common primary diagnosis for Medicare hospice, while in 2019 it was the third most common, surpassed only by cancer and dementia. The correlation between the change from 2013 to 2019 in state-level Medicare hospice for stroke and stroke death rate for Medicare-eligible adults was significant (Spearman ρ=0.5; P<0.001). In a mixed-effects model, the variance in the state-level proportion of Medicare hospice for stroke explained by the state-level stroke death rate was 48.2%. CONCLUSIONS: From 2013 to 2019, the number of Medicare hospice beneficiaries with a primary diagnosis of stroke more than doubled and stroke jumped from the sixth most common indication for hospice to the third most common. While increases in stroke mortality in the Medicare-eligible population accounts for some of the increase of Medicare hospice beneficiaries, over half the variance remains unexplained and requires additional research.

Patient Travel Distance to Neurologist Visits.

BACKGROUND AND OBJECTIVES: The density of neurologists within a given geographic region varies greatly across the United States. We aimed to measure patient travel distance and travel time to neurologist visits, across neurologic conditions and subspecialties. Our secondary goal was to identify factors associated with long-distance travel for neurologic care. METHODS: We performed a cross-sectional analysis using a 2018 Medicare sample of patients with at least 1 outpatient neurologist visit. Long-distance travel was defined as driving distance ≥50 miles 1-way to the visit. Travel time was measured as driving time in minutes. Multilevel generalized linear mixed models with logistic link function, which accounted for clustering of patients within hospital referral region and allowed modeling of region-specific random effects, were used to determine the association of patient and regional characteristics with long-distance travel. RESULTS: We identified 563,216 Medicare beneficiaries with a neurologist visit in 2018. Of them, 96,213 (17%) traveled long distance for care. The median driving distance and time were 81.3 (interquartile range [IQR]: 59.9-144.2) miles and 90 (IQR: 69-149) minutes for patients with long-distance travel compared with 13.2 (IQR: 6.5-23) miles and 22 (IQR: 14-33) minutes for patients without long-distance travel. Comparing across neurologic conditions, long-distance travel was most common for nervous system cancer care (39.6%), amyotrophic lateral sclerosis [ALS] (32.1%), and MS (22.8%). Many factors were associated with long-distance travel, most notably low neurologist density (first quintile: OR 3.04 [95% CI 2.41-3.83] vs fifth quintile), rural setting (4.89 [4.79-4.99]), long-distance travel to primary care physician visit (3.6 [3.51-3.69]), and visits for ALS and nervous system cancer care (3.41 [3.14-3.69] and 5.27 [4.72-5.89], respectively). Nearly one-third of patients bypassed the nearest neurologist by 20+ miles, and 7.3% of patients crossed state lines for neurologist care. DISCUSSION: We found that nearly 1 in 5 Medicare beneficiaries who saw a neurologist traveled ≥50 miles 1-way for care, and travel burden was most common for lower-prevalence neurologic conditions that required coordinated multidisciplinary care. Important potentially addressable predictors of long-distance travel were low neurologist density and rural location, suggesting interventions to improve access to care such as telemedicine or neurologic subspecialist support to local neurologists. Future work should evaluate differences in clinical outcomes between patients with long-distance travel and those without.

Determinants of Inequities in Neurologic Disease, Health, and Well-being: The NINDS Social Determinants of Health Framework.

A National Institute of Neurological Disorders and Stroke working group developed the Determinants of Inequities in Neurological Disease, Health, and Well-being framework. Our goal was to guide and inspire a new generation of neurologic research that pushes the field to design and test new approaches in pursuit of health equity, population health, and social justice. We seek to expand the lens of those looking to reduce or eliminate racial, socioeconomic status, and other inequities in neurologic disease, health, and well-being to improve our collective ability to create research, programs, and policies that lead to larger, more impactful, and more sustainable change in neurologic disease patterns. In this context, we outline a framework that includes and highlights "upstream" factors in the hopes of enhancing the focus of research, programmatic, and policy efforts to reduce and eliminate inequities in neurologic health and well-being. We explicitly discuss racism and other structural factors to clarify that social determinants are not natural and unchangeable. Populations with a disproportionate burden of neurologic disease are not inherently deficient, despite what some approaches to framing health inequities imply. The framework is presented linearly, but the pathways linking the determinants of neurologic disease, health, and well-being are far more complex than those demonstrated by the arrows included in the figure. The framework highlights the different levels and scale of causation, including the structural and intermediary social determinants and their impact on neurologic health. We offer this framework to refine efforts to contextualize the interpretation of neurologic research findings and suggest new avenues for their application. We illustrate how behavioral and biological factors occur in a social and economic context, factors that have been understudied as points of intervention to reduce inequities in neurologic disease. Considering social and structural determinants of health provides promising new opportunities to achieve neurologic health equity, reach social justice, and improve our science. Extending our work in this fashion is not simply about health equity or social justice but to fundamentally improve the quality of neurologic research by enhancing underlying theory and improving study design and implementation.

Exploring Social Determinants of Health in Healthy Aging Among Older Adults: A Qualitative Study.

BACKGROUND: The U.S. population is aging and diversifying. Older Black Americans comprise the largest racial minority group and experience greater disability than White Americans. OBJECTIVES: Within a long-standing, community-based research partnership, we explored the determinants of healthy aging in Flint Michigan, a low-income, predominantly Black American community recovering from a water crisis. METHODS: Focus groups were conducted among older adults residing in Flint, Michigan. A grounded theory approach and constant comparison method was utilized for data analysis. RESULTS: Five focus groups were conducted with 49 total participants. We identified four themes that impacted healthy aging: economic instability, health care access and quality, neighborhood and built environment, and social and community context. Economic instability heavily influenced the other themes. CONCLUSIONS: Economic instability is a barrier to healthy aging. As a result, we are testing an innovative cross-sector partnership combining older adult affordable housing and health care.

Food Insecurity and Perceived Financial Stress are Associated with Cost-related Medication Non-adherence in Stroke.

OBJECTIVE: To determine whether food insecurity and perceived financial stress contribute to cost-related medication non-adherence (CRN) in stroke. METHODS: We conducted a retrospective study of adult stroke survivors in the National Health Interview Survey (2014-2018). Weighted prevalence of food insecurity, perceived financial stress, and CRN by age was calculated. Multiple logistic regression was conducted between food insecurity or perceived financial stress and CRN, adjusting for demographic and clinical variables. RESULTS: Prevalence of food insecurity, perceived financial stress, and CRN respectively were 38%, 75%, and 26% (age 18-44), 38%, 76%, and 21% (age 45-64) and 17%, 43%, and 6% (age≥ 65). Food insecurity and perceived financial stress respectively were associated with CRN in stroke survivors aged 45-64 [odds ratio (95% CI) 1.35 (1.18-1.54) and 1.44 (1.29-1.61)] and age ≥ 65 [1.77 (1.52-2.06) and 1.51 (1.37-1.67)]. CONCLUSION: Food insecurity and perceived financial stress are prevalent in stroke survivors and associated with CRN.

Prescription Opioid Initiation for Neuropathy, Headache, and Low Back Pain: A US Population-based Medicare Study.

Neuropathy, headache, and low back pain (LBP) are common conditions requiring pain management. Yet little is known regarding whether access to specialists impacts opioid prescribing. We aimed to identify factors associated with opioid initiation among opioid-naïve older adults and evaluate how access to particular specialists impacts prescribing. This retrospective cohort study used a 20% Medicare sample from 2010 to 2017. Opioid initiation was defined as a first opioid prescription filled within 12 months after a diagnosis encounter. Disease-related opioid initiation was defined as a first opioid prescription filled within 7 days following a disease-specific claim. Logistic regression using generalized estimating equations was used to determine the association of patient demographics, provider types, and regional physician specialty density with disease-related opioid initiation, accounting for within-region correlation. We found opioid initiation steadily declined from 2010 to 2017 (neuropathy: 26-19%, headache: 31-20%, LBP: 45-32%), as did disease-related opioid initiation (4-3%, 12-7%, 29-19%) and 5 to 10% of initial disease-related prescriptions resulted in chronic opioid use within 12 months of initiation. Certain specialist visits were associated with a lower likelihood of disease-related opioid initiation compared with primary care. Residence in high neurologist density regions had a lower likelihood of disease-related opioid initiation (headache odds ratio [OR] .76 [95% CI: .63-.92]) and LBP (OR .7 [95% CI: .61-.81]) and high podiatrist density regions for neuropathy (OR .56 [95% CI: .41-.78]). We found that specialist visits and greater access to specialists were associated with a lower likelihood of disease-related opioid initiation. These data could inform strategies to perpetuate reductions in opioid use for these common pain conditions. PERSPECTIVE: This article presents how opioid initiation for opioid-naïve patients with newly diagnosed neuropathy, headache, and LBP varies across providers. Greater access to certain specialists decreased the likelihood of opioid initiation. Future work may consider interventions to support alternative treatments and better access to specialists in low-density regions.

Predictors of referral for long-term EEG monitoring for Medicare beneficiaries with drug-resistant epilepsy.

OBJECTIVE: For people with drug-resistant epilepsy, the use of epilepsy surgery is low despite favorable odds of seizure freedom. To better understand surgery utilization, we explored factors associated with inpatient long-term EEG monitoring (LTM), the first step of the presurgical pathway. METHODS: Using 2001-2018 Medicare files, we identified patients with incident drug-resistant epilepsy using validated criteria of ≥2 distinct antiseizure medication (ASM) prescriptions and ≥1 drug-resistant epilepsy encounter among patients with ≥2 years pre- and ≥1 year post-diagnosis Medicare enrollment. We used multilevel logistic regression to evaluate associations between LTM and patient, provider, and geographic factors. We then analyzed neurologist-diagnosed patients to further evaluate provider/environmental characteristics. RESULTS: Of 12 044 patients with incident drug-resistant epilepsy diagnosis identified, 2% underwent surgery. Most (68%) were diagnosed by a neurologist. In total, 19% underwent LTM near/after drug-resistant epilepsy diagnosis; another 4% only underwent LTM much prior to diagnosis. Patient factors most strongly predicting LTM were age <65 (adjusted odds ratio 1.5 [95% confidence interval 1.3-1.8]), focal epilepsy (1.6 [1.4-1.9]), psychogenic non-epileptic spells diagnosis (1.6 [1.1-2.5]) prior hospitalization (1.7, [1.5-2]), and epilepsy center proximity (1.6 [1.3-1.9]). Additional predictors included female gender, Medicare/Medicaid non-dual eligibility, certain comorbidities, physician specialties, regional neurologist density, and prior LTM. Among neurologist-diagnosed patients, neurologist <10 years from graduation, near an epilepsy center, or epilepsy-specialized increased LTM likelihood (1.5 [1.3-1.9], 2.1 [1.8-2.5], 2.6 [2.1-3.1], respectively). In this model, 37% of variation in LTM completion near/after diagnosis was explained by individual neurologist practice and/or environment rather than measurable patient factors (intraclass correlation coefficient 0.37). SIGNIFICANCE: A small proportion of Medicare beneficiaries with drug-resistant epilepsy completed LTM, a proxy for epilepsy surgery referral. While some patient factors and access measures predicted LTM, non-patient factors explained a sizable proportion of variance in LTM completion. To increase surgery utilization, these data suggest initiatives targeting better support of neurologist referral.

Predictors of not maintaining regular medical follow-up after stroke.

BACKGROUND: Regular medical follow-up after stroke is important to reduce the risk of post-stroke complications and hospital readmission. Little is known about the factors associated with stroke survivors not maintaining regular medical follow-up. We sought to quantify the prevalence and predictors of stroke survivors not maintaining regular medical follow-up over time. METHODS: We conducted a retrospective cohort study of stroke survivors in the National Health and Aging Trends Study (2011-2018), a national longitudinal sample of United States Medicare beneficiaries. Our primary outcome was not maintaining regular medical follow-up. We performed a cox regression to estimate predictors of not maintaining regular medical follow-up. RESULTS: There were 1330 stroke survivors included, 150 of whom (11.3%) did not maintain regular medical follow-up. Stroke survivor characteristics associated with not maintaining regular medical follow-up included not having restrictions in social activities (HR 0.64, 95% CI 0.41, 1.01 for having restrictions in social activities compared to not having restrictions in social activities), greater limitations in self-care activities (HR 1.13, 95% CI 1.03, 1.23), and probable dementia (HR 2.23, 95% CI 1.42, 3.49 compared to no dementia). CONCLUSIONS: The majority of stroke survivors maintain regular medical follow-up over time. Strategies to retain stroke survivors in regular medical follow-up should be directed towards stroke survivors who do not have restrictions in social activity participation, those with greater limitations in self-care activities, and those with probable dementia.

Trajectories in physical performance and fall prediction in older adults: A longitudinal population-based study.

BACKGROUND: A physical performance evaluation can inform fall risk in older people, however, the predictiveness of a one-time assessment is limited. The trajectory of physical performance over time has not been well characterized and might improve fall prediction. We aimed to characterize trajectories in physical performance and determine if fall prediction improves using trajectories of performance. METHODS: This was a cohort design using data from the National Health and Aging Trends Study. Physical performance was measured by the short physical performance battery (SPPB) with scores ranging from 0 (worst) to 12 (best). The trajectory of SPPB was categorized using latent class modeling and slope-based multilevel linear regression. We used Cox proportional hazards models with an outcome of time to ≥2 falls from annual self-report to assess predictiveness after adding SPPB trajectories to models of baseline SPPB and established non-physical-performance-based variables. RESULTS: The sample was 5969 community-dwelling Medicare beneficiaries aged ≥65 years. The median number of annual SPPB evaluations was 4 (IQR, 3-7). Mean baseline SPPB was 9.2 (SD, 3.0). The latent class model defined SPPB trajectories over a range of two to nineteen categories. The mean slope from the slope-based model was -0.01 SPPB points/year (SD, 0.14). Discrimination of the baseline SPPB model to predict time to ≥2 falls was fair (Harrell's C, 0.65) and increased after adding the non-performance-based predictors (Harrell's C, 0.70). Discrimination slightly improved with the SPPB trajectory category variable that had the best fit (Harrell's C, 0.71) but did not improve with the SPPB linear slope. Calibration with and without the trajectory categories was similar. CONCLUSIONS: We found that the trajectory of physical performance did not meaningfully improve upon fall prediction from a baseline physical performance assessment and established non-performance-based information. These results do not support longitudinal SPPB assessments for fall prediction.

Viewing Mobile Health Technology Design Through the Lens of Amplification Theory.

Digital health interventions designed to promote health equity can be valuable tools in the delivery of health care to hardly served patient populations. But if the design of these technologies and the interventions in which they are deployed do not address the myriad structural barriers to care that minoritized patients, patients in rural areas, and patients who have trouble paying for care often face, their impact may be limited. Drawing on our mobile health (mHealth) research in the arena of cardiovascular care and blood pressure management, this viewpoint argues that health care providers and researchers should tend to structural barriers to care as a part of their digital health intervention design. Our 3-step predesign framework, informed by the Amplification Theory of Technology, offers a model that interventionists can follow to address these concerns.

Functional Impairment and Postacute Care Discharge Setting May Be Useful for Stroke Survival Prognostication.

Background The aim of this study was to discussions about post-stroke outcomes related to post-stroke function and post-acute care discharge setting.inform patient-provider. Methods and Results We conducted a retrospective cohort study of Medicare beneficiaries with acute ischemic stroke or intracerebral hemorrhage in 2013. Our primary outcome was mortality within at least 1-year post discharge. We performed multivariate logistic regression to estimate 90-day odds ratios (ORs) and Cox proportional hazards regression to estimate post 90-day hazard ratios on mortality, adjusting for demographics, procedures, comorbidities, discharge setting (inpatient rehabilitation facility, skilled nursing facility, or home health care agency), post-stroke function (measured by the Functional/Pseudo-Functional Independence Measure) and setting-function interactions. There were 167 000 patients with a mean follow-up of 441 days. Mortality within 90 days was associated with post-stroke function (OR, 0.23; 95% CI, 0.19-0.27 comparing highest to lowest quintile of post-stroke function) and discharge setting (OR, 4.05; 95% CI, 3.78-4.33 for skilled nursing facility versus inpatient rehabilitation facility). Among the highest functioning patients, those discharged to inpatient rehabilitation facility had a 1-year mortality of 9% and those discharged with home health had 11% mortality at 1 year. The lowest functioning survivors of stroke discharged to a skilled nursing facility had 64% mortality at 1 year and those discharged to an inpatient rehabilitation facility had 29.6% mortality at 1 year. Conclusions Nearly two thirds of the lowest functioning survivors of stroke discharged to a skilled nursing facility die within a year. This finding should inform discussions between providers and patients/caregivers in aligning goals of care with the care survivors of stroke receive.

A Physical Activity Just-in-time Adaptive Intervention Designed in Partnership With a Predominantly Black Community: Virtual, Community-Based Participatory Design Approach.

BACKGROUND: Black people are disproportionally impacted by hypertension. New approaches for encouraging healthy lifestyles are needed to reduce hypertension and promote health equity in Black communities. OBJECTIVE: In this report, we describe the early-stage, virtual design of a just-in-time adaptive intervention (JITAI) to increase physical activity in partnership with members of a low-income, predominantly Black community. METHODS: The hallmark of JITAIs is highly contextualized mobile app push notifications. Thus, understanding participants' context and determinants of physical activity are critical. During the height of the COVID-19 pandemic, we conducted virtual discovery interviews and analysis guided by the Behavior Change Wheel (which focuses on participants' capacity, opportunity, and motivation to engage in physical activity), as well as empathy mapping. We then formed a community-academic participatory design team that partnered in the design sprint, storyboarding, and paper prototyping. RESULTS: For this study, 5 community members participated in the discovery interviews, 12 stakeholders participated in the empathy mapping, 3 community members represented the community on the design team, and 10 community members provided storyboard or paper prototyping feedback. Only one community member had used videoconferencing prior to partnering with the academic team, and none had design experience. A set of 5 community-academic partner design principles were created: (1) keep users front and center, (2) tailor to the individual, (3) draw on existing motivation, (4) make physical activity feel approachable, and (5) make data collection transparent yet unobtrusive. To address community-specific barriers, the community-academic design team decided that mobile app push notifications will be tailored to participants' baseline mobility level and community resources (eg, local parks and events). Push notifications will also be tailored based on the day (weekday versus weekend), time of day, and weather. Motivation will be enhanced via adaptive goal setting with supportive feedback and social support via community-generated notifications. CONCLUSIONS: We completed early-stage virtual design of a JITAI in partnership with community participants and a community design team with limited design and videoconferencing experience. We found that designing JITAIs with the community enables these interventions to address community-specific needs, which may lead to a more meaningful impact on users' health.

Community Intent to Activate Emergency Medical Services May Be Associated with Regional tPA Treatment.

INTRODUCTION: Acute stroke treatments are underutilized in the USA. Enhancing stroke preparedness, the recognition of stroke symptoms, and intent to call emergency medical services (EMS) could reduce delay in hospital arrival thereby increasing eligibility for time-sensitive stroke treatments. Whether higher stroke preparedness is associated with higher tissue plasminogen activator (tPA) treatment rates is however uncertain. We therefore set out to determine the contribution of stroke preparedness to regional variation in tPA treatment. METHODS: The region was defined by hospital service area (HSA). Stroke preparedness was determined by using Behavioral Risk Factor Surveillance System survey questions assessing stroke symptom recognition and intent to call 911 in response to a stroke. We used Medicare data to determine the percentage of tPA-treated hospitalized stroke patients in 2007, 2009, and 2011, adjusting for number of stroke hospitalizations in each HSA (primary outcome). We performed multivariate linear regression to estimate the association of regional stroke preparedness on log-transformed tPA treatment rates controlling for demographic, EMS, and hospital characteristics. RESULTS: The adjusted percentage of stroke patients receiving tPA ranged from 1.4% (MIN) to 11.3% (MAX) of stroke/TIA hospitalizations. Across HSAs, a median (IQR) of 86% (81-90%) of responses to a witnessed stroke indicated intent to call 911, and a median (IQR) of 4.4 (4.2-4.6) out of 6 stroke symptoms was recognized. Every 1% increase in an HSA's intent to call 911 was associated with a 0.44% increase in adjusted tPA treatment rate (p = 0.05). Lower accuracy of recognition of stroke symptoms was associated with higher adjusted tPA treatment rates (p = 0.05). CONCLUSIONS: There was little regional variation in intent to call EMS and stroke symptom recognition. Intent to call EMS and stroke symptom recognition are modest contributors to regional variation in tPA treatment.

Tissue-Based Stroke Definition Impacts Stroke Incidence but not Ethnic Differences.

OBJECTIVES: We explored how the new, tissue-based stroke definition impacted incidence estimates, including an ethnic comparison, in a population-based study. METHODS: Stroke patients, May, 2014-May, 2016 in Nueces County, Texas were ascertained and validated using source documentation. Overall, ethnic-specific and age-specific Poisson regression models were used to compare first-ever ischemic stroke and intracerebral hemorrhage (ICH) incidence between old and new stroke definitions, adjusting for age, ethnicity, sex, and National Institutes of Health Stroke Scale score. RESULTS: Among 1308 subjects, 1245 (95%) were defined as stroke by the old definition and 63 additional cases (5%) according to the new. There were 12 cases of parenchymal hematoma (PH1 or PH2) that were reclassified from ischemic stroke to ICH. Overall, incidence of ischemic stroke was slightly higher under the new compared to the old definition (RR 1.07; 95% CI 0.99-1.16); similarly higher in both Mexican Americans (RR 1.06; 95% CI 1.00-1.12) and Non Hispanic whites (RR 1.09, 95% CI 0.97-1.22), p(ethnic difference)=0.36. Overall, incidence of ICH was higher under the new definition compared to old definition (RR 1.16; 95% CI 1.05-1.29), similarly higher among both Mexican Americans (RR 1.14; 95% CI 1.06-1.23) and Non Hispanic whites (RR 1.20, 95% CI 1.03-1.39), p(ethnic difference)=0.25. CONCLUSION: Modest increases in ischemic stroke and ICH incidence occurred using the new compared with old stroke definition. There were no differences between Mexican Americans and non Hispanic whites. These estimates provide stroke burden estimates for public health planning.

Extending Advance Care Planning to Black Americans in the Community: A Pilot Study of the PREPARE Program.

CONTEXT: Advance care planning (ACP) is underutilized, especially among Black Americans. Yet, no ACP interventions have been tested at the community level. OBJECTIVES: Within an established academic and community partnership, we sought to determine whether ACP is a community-identified need and if so, to conduct a pilot study of an evidence-based ACP program, PREPARE (PrepareForYourCare.org). METHODS: We conducted open discussions and in-depth interviews to determine the relevance of ACP to the community. We then conducted a pre- to 3-week postpilot study of a virtual peer facilitated brief session to introduce ACP and encourage participants to engage with PREPARE. We conducted thematic content analysis for qualitative data and used paired t-tests to assess within-participant changes in the validated ACP Engagement Survey measured on a 1-5 scale (5 = greatest engagement). RESULT: We conducted two discussion groups with community leaders (n = 12) and key informant interviews (n = 6), including leaders in aging, public health, health care and faith. We concluded that ACP is a community priority. In the pilot study, we enrolled 13 Black Americans; 85% were women and the mean age was 59.7 years (SD 15.1). There was a trend toward increased ACP engagement after the peer facilitated PREPARE (mean 3.2 (SD 0.6) pre vs. 3.5 (SD 0.6) post, paired t-test P = 0.06). All participants found the intervention to be acceptable and were satisfied with it. CONCLUSION: Community members identified ACP as important for their community. Peer facilitated PREPARE program is a promising community-based strategy to increase engagement in ACP and may promote health equity.

Geographic Variation in Neurologist Density and Neurologic Care in the United States.

OBJECTIVE: To describe geographic variation in neurologist density, neurologic conditions, and neurologist involvement in neurologic care. METHODS: We used 20% 2015 Medicare data to summarize variation by Hospital Referral Region (HRR). Neurologic care was defined as office-based evaluation/management visits with a primary diagnosis of a neurologic condition. RESULTS: Mean density of neurologists varied nearly 4-fold from the lowest to the highest density quintile (9.7 [95% confidence interval (CI) 9.2-10.2] vs 43.1 [95% CI 37.6-48.5] per 100,000 Medicare beneficiaries). The mean prevalence of patients with neurologic conditions did not substantially differ across neurologist density quintile regions (293 vs 311 per 1,000 beneficiaries in the lowest vs highest quintiles, respectively). Of patients with a neurologic condition, 23.5% were seen by a neurologist, ranging from 20.6% in the lowest quintile regions to 27.0% in the highest quintile regions (6.4% absolute difference). Most of the difference comprised dementia, pain, and stroke conditions seen by neurologists. In contrast, very little of the difference comprised Parkinson disease and multiple sclerosis, both of which had a very high proportion (>80%) of neurologist involvement even in the lowest quintile regions. CONCLUSIONS: The supply of neurologists varies substantially by region, but the prevalence of neurologic conditions does not. As neurologist supply increases, access to neurologist care for certain neurologic conditions (dementia, pain, and stroke) increases much more than for others (Parkinson disease and multiple sclerosis). These data provide insight for policy makers when considering strategies in matching the demand for neurologic care with the appropriate supply of neurologists.

Increasing Out-of-Pocket Costs for Neurologic Care for Privately Insured Patients.

OBJECTIVE: To measure the out-of-pocket (OOP) costs of evaluation and management (E/M) services and common diagnostic testing for neurology patients. METHODS: Using a large, privately insured health care claims database, we identified patients with a neurologic visit or diagnostic test from 2001 to 2016 and assessed inflation-adjusted OOP costs for E/M visits, neuroimaging, and neurophysiologic testing. For each diagnostic service each year, we estimated the proportion of patients with OOP costs, the mean OOP cost, and the proportion of the total service cost paid OOP. We modeled OOP cost as a function of patient and insurance factors. RESULTS: We identified 3,724,342 patients. The most frequent neurologic services were E/M visits (78.5%), EMG/nerve conduction studies (NCS) (7.7%), MRIs (5.3%), and EEGs (4.5%). Annually, 86.5%-95.2% of patients paid OOP costs for E/M visits and 23.1%-69.5% for diagnostic tests. For patients paying any OOP cost, the mean OOP cost increased over time, most substantially for EEG, MRI, and E/M. OOP costs varied considerably; for an MRI in 2016, the 50th percentile paid $103.10 and the 95th percentile paid $875.40. The proportion of total service cost paid OOP increased. High deductible health plan (HDHP) enrollment was associated with higher OOP costs for MRI, EMG/NCS, and EEG. CONCLUSION: An increasing number of patients pay OOP for neurologic diagnostic services. These costs are rising and vary greatly across patients and tests. The cost sharing burden is particularly high for the growing population with HDHPs. In this setting, neurologic evaluation might result in financial hardship for patients.

Understanding and Informing Community Emergency Cardiovascular Disease Preparedness during the COVID-19 Pandemic: Stroke Ready.

INTRODUCTION: Acute stroke and acute myocardial infarction (AMI) treatments are time sensitive. Early data revealed a decrease in presentation and an increase in pre-hospital delay for acute stroke and AMI during the coronavirus disease 2019 (COVID-19) pandemic. Thus, we set out to understand community members' perception of seeking acute stroke and AMI care during the COVID-19 pandemic to inform strategies to increase cardiovascular disease preparedness during the pandemic. METHODS: Given the urgency of the clinical and public health situation, through a community-based participatory research partnership, we utilized a rapid assessment approach. We developed an interview guide and data collection form guided by the Theory of Planned Behavior (TPB). Semi-structured interviews were recorded and conducted via phone and data was collected on structured collection forms and real time transcription. Direct content analysis was conducted guided by the TPB model and responses for AMI and stroke were compared. RESULTS: We performed 15 semi-structured interviews. Eighty percent of participants were Black Americans; median age was 50; 73% were women. Participants reported concerns about coronavirus transmission in the ambulance and at the hospital, hospital capacity and ability to triage, and quality of care. Change in employment and childcare also impacted participants reported control over seeking emergent cardiovascular care. Based on these findings, our community and academic team co-created online materials to address the community-identified barriers, which has reached over 8,600 users and engaged almost 600 users. CONCLUSIONS: We found that community members' attitudes and perceived behavioral control to seek emergent cardiovascular care were impacted by the COVID-19 pandemic. Community-informed, health behavior theory-based public health messaging that address these constructs may decrease prehospital delay.