Rurality and Atrial Fibrillation: Patient Perceptions of Barriers and Facilitators to Care.

Background Patients experience atrial fibrillation (AF) as a complex disease given its adversity, chronicity, and necessity for long-term treatments. Few studies have examined the experience of rural individuals with AF. We conducted qualitative assessments of patients with AF residing in rural, western Pennsylvania to identify barriers and facilitators to care. Methods and Results We conducted 8 semistructured virtual focus groups with 42 individuals living in rural western Pennsylvania using contextually tailored questions to assess participant perspectives. We inductively analyzed focus group transcripts using paragraph-by-paragraph and focused coding to identify themes with the qualitative description approach. We used Krippendorff α scoring to determine interreviewer reliability. We harnessed investigator triangulation to augment the reliability of our findings. We reached thematic saturation after coding 8 focus groups. Participants were 52.4% women, with a median age of 70.9 years (range, 54.5-82.0 years), and most were White race (92.9%). Participants identified medication costliness, invisibility of AF to others, and lack of emergent transportation as barriers to care. Participants described interpersonal support and use of technology as important for AF self-care, and expressed ambivalence about how relationships with health care providers affected AF care. Conclusions Focus group participants described multiple social and structural barriers to care for AF. Our findings highlight the complexity of the experience of individuals with AF residing in rural western Pennsylvania. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT04076020.

A qualitative crossroads of rhythm and race: Black patients' experiences living with atrial fibrillation.

Importance: Race-based disparities in atrial fibrillation (AF) outcomes are well-documented, but few studies have investigated individuals' experiences of living with the condition, particularly among Black individuals. Objective: We aimed to identify common themes and challenges experienced by individuals of Black race with AF. Design: A tailored, qualitative script was developed to assess the perspectives of participants in focus groups. Setting: Virtual focus groups. Participants: Three focus groups of 4-6 participants (16 participants total) were recruited from the racial/ethnic minority participants in the Mobile Relational Agent to Enhance Atrial Fibrillation Self-care Trial. Main outcomes and measures: Focus group transcripts were inductively coded to identify common themes. Results: Nearly all participants self-identified as Black race (n = 15, 93.8 %). Participants were mostly male (62.5 %) with mean age of 67 (range 40-78) years. Three themes were identified. First, participants described physical and mental burdens associated with having AF. Second, participants described AF as being a condition that is difficult to manage. Lastly, participants identified key tenets to support self-management of AF (self-education, community support, and patient-provider relationships). Conclusions and relevance: Participants reported AF is unpredictable and challenging to manage, and that social and community supports are essential. The social and behavioral themes identified in this qualitative research highlight the need for tailored clinical strategies for AF self-management which incorporate individuals' social contexts. Trial registration: National Clinical Trial number 04075994.

Design, rationale, and baseline characteristics of a randomized controlled trial evaluating a mobile relational agent to enhance atrial fibrillation self-care.

Atrial fibrillation (AF) is a chronic cardiovascular disease that frequently causes disruptive symptoms, adverse outcomes, and poor health-related quality of life (HRQoL). We have developed a mobile health application for individuals with AF which provides a longitudinal, patient-centered program to improve self-care. The defining feature of the application is the use of a relational agent, which uses synthetic speech accompanied by animation to provide health education, empathic counseling, and monitoring. In the present manuscript we present the design, rationale, and baseline characteristics of participants enrolled in "A Mobile Relational Agent to Enhance Atrial Fibrillation Self-Care Trial," a randomized trial testing the effectiveness the application for urban-dwelling individuals with AF being treated with oral anticoagulation for prevention of thromboembolic ischemic stroke. This is a single-center, parallel-arm randomized trial that assigned patients to the novel application (relational agent) versus a control intervention (WebMD). This ongoing RCT aims to determine the effect of the mobile health application on: (1) anticoagulation adherence; (2) patient-centered outcomes (quality of life and symptoms); and (3) health care utilization. The primary outcome, anticoagulation adherence, will be measured using the proportion of days covered (PDC). The study completed enrollment on April 1, 2022 (final enrollment n = 243 participants) with expected completion date of April 2023. (http://clinicaltrials.gov registration NCT04075994).

Design and rationale of the mobile health intervention for rural atrial fibrillation.

BACKGROUND: Atrial fibrillation (AF) is a highly morbid condition which requires long-term adherence to oral anticoagulation and may be associated with adverse quality of life and health care utilization. We developed a relational agent-an interactive smartphone-based intervention accessible regardless of digital or health literacy-to assist individuals residing in rural, Western Pennsylvania, with AF with chronic disease self-management. METHODS: The "Mobile health intervention for rural atrial fibrillation" is a single center, parallel-arm randomized clinical trial for adults with AF funded by the National Institute of Health's National Heart, Lung, and Blood Institute to enroll 264 participants. All participants receive a smartphone with data plan: The intervention is a 4 month relational agent coupled with the AliveCor Kardia for heart rate and rhythm monitoring provided by smartphone, and the control a pre-installed, smartphone-based application for health-related information (WebMD). The study uses remote recruitment and engagement to enroll individuals who would otherwise be unlikely to participate in clinical research due to rurality. The primary outcome of the trial is adherence to oral anticoagulation, determined by proportion of days covered, as measured at 12 months. The secondary outcomes are quality of life, both AF-specific and general, and health care utilization. The study entails a baseline visit, a 4 month intervention phase, and 8 and 12 month follow-up visits. CONCLUSIONS: This mobile health trial tests the effectiveness of a smartphone-based relational agent to improve clinical and patient-reported outcomes in rural-dwelling individuals.

Rurality and atrial fibrillation: a pathway to virtual engagement and clinical trial recruitment in response to COVID-19.

Study Objective: To summarize trial adaptation from in-clinic to virtual design in response to the SARS-2 coronavirus-2 (COVID-19). Design: A clinical trial of a mobile health intervention to improve chronic disease self-management for rural individuals with atrial fibrillation (AF). The trial has a 4-month intervention - accessible regardless of health or digital literacy - to enhance AF medication adherence and patient experience with 8- and 12-month assessments of sustainability. Setting: Rural, western Pennsylvania. Participants: Rural individuals with AF receiving oral anticoagulation for stroke prevention. Interventions: Enrolled participants underwent a telephone-based orientation, provided verbal consent, and were randomized using a digital platform. They received a smartphone with intervention or control applications and a curriculum on usage tailored for study arm. Participants received study assessments by mail with telephone-based administration and contact for the 12-month trial. Main Outcome Measures: Successful adaptation to virtual engagement and recruitment. Results: The study enrolled 18 participants during in-clinic recruitment (January-March 2020). From 5/1/2020 to 5/6/2021 the study team enrolled 130 individuals (median age 72.4 years, range 40.8-92.2; 49.2% women, 63.1% without college degree, and 45.4% with limited health literacy. Retention of participants enrolled using virtual methods during the 4-month intervention phase is 92%. Conclusions: We report a virtual trial of a mobile health intervention for rural individuals with AF. Our successful implementation suggests promise for engaging geographically isolated rural individuals, potential to enhance digital health access, and advance rural health equity.

Entrances and exits: health insurance churning, 1998-2000.

Analysis of 1998-2000 health insurance data from the Medical Expenditure Panel Survey shows large numbers of people with unstable health insurance coverage. Young adults, Hispanics, people with low levels of education, those who transition into and out of poverty, and those with private non-group insurance are most likely to have unstable coverage. In addition, demographic factors and type of insurance interact to determine stability of coverage. Young adults and Hispanics with Medicaid or private insurance, for example, were relatively likely to lose their coverage. And less than half of people who transitioned into and out of low income and were initially uninsured were able to obtain coverage. Policies must target these high-risk groups in order to provide them with stable health insurance coverage.

Health insurance expansions for working families: a comparison of targeting strategies.

We compare three eligibility criteria for targeting health insurance expansions in working families: poverty, hourly wages, and employment in a small firm. Making pairwise comparisons among these, we find that targeting by poverty is the most effective and efficient. A poverty-based method is also the most effective way to target those lacking access to employer-sponsored insurance and those with low take-up of such coverage. When we examine the effectiveness of targeting by family type, we find that marital status and number of workers in the family make little difference once we control for the presence of children and for poverty level.