Supporting Healthcare Providers’ Motivations for Caring for Patients in Underserved Communities
Published in The 2024 Conference on Computer-supported Cooperative Work and Social Computing (CSCW companion ’24), 2024
Abstract
Immigrant communities in the US are affected by Social Determinants of Health (SDOH), such as lack of educational opportunities, low income, lower rates of health insurance, and limited English proficiency; together, these drive immense health disparities. The lack of providers’ motivation to work in underserved communities also reduces the quality of healthcare services. HCI and healthcare researchers strive to address immigrants’ unmet healthcare needs by developing emerging technologies. However, there is limited understanding of effective strategies, especially how technologies can effectively be designed to increase providers’ understanding of working with socially marginalized communities and their motivations to enhance practices. The goal of our larger study is to examine different perspectives on the immigrant community’s health management and identify design implications for improved access to care for marginalized communities. As an initial step, we discuss findings from interviews with 15 health providers working in underserved community settings and explore future directions. This study presents design implications for better assisting healthcare providers to achieve improved motivation for working with underserved populations, thereby facilitating patient care.
Online access: https://dl.acm.org/doi/abs/10.1145/3678884.3681891
Recommended citation: Alisha Ghaju, Zhanming Chen, May Hang, and Ji Youn Shin. 2024. Supporting healthcare providers’ motivations for caring for patients in underserved communities. In Companion publication of the 2024 conference on computer-supported cooperative work and social computing (CSCW companion ’24), 459–464. https://doi.org/10.1145/3678884.3681891
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