Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease (Jan 2024)
Deployment of Point‐of‐Care Echocardiography to Improve Cardiac Diagnostic Access Among American Indians
Abstract
Background American Indians face significant barriers to diagnosis and management of cardiovascular disease. We sought to develop a real‐world implementation model for improving access to echocardiography within the Indian Health Service, the American Indian Structural Heart Disease Partnership. Methods and Results The American Indian Structural Heart Disease Partnership was implemented and evaluated via a 4‐step process of characterizing the system where it would be instituted, building point‐of‐care echocardiography capacity, deploying active case finding for structural heart disease, and evaluating the approach from the perspective of the clinician and patient. Data were collected and analyzed using a parallel convergent mixed methods approach. Twelve health care providers successfully completed training in point‐of‐care echocardiography. While there was perceived usefulness of echocardiography, providers found it difficult to integrate screening point‐of‐care echocardiography into their workday given competing demands. By the end of 12 months, 6 providers continued to actively utilize point‐of‐care echocardiography. Patients who participated in the study felt it was an acceptable and effective approach. They also identified access to transportation as a notable challenge to accessing echocardiograms. Over the 12‐month period, a total of 639 patients were screened, of which 36 (5.6%) had a new clinically significant abnormal finding. Conclusions The American Indian Structural Heart Disease Partnership model exhibited several promising strategies to improve access to screening echocardiography for American Indian populations. However, competing priorities for Indian Health Service providers' time limited the amount of integration of screening echocardiography into outpatient practice. Future endeavors should explore community‐based solutions to develop a more sustainable model with greater impact on case detection, disease management, and improved outcomes.
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