Digital Disparities in Patient Adoption of Telemedicine: A Qualitative Analysis of the Patient Experience

Digital Disparities in Patient Adoption of Telemedicine: A Qualitative Analysis of the Patient Experience

Alissa M. Dickey, Molly McLure Wasko
DOI: 10.4018/IJHISI.318043
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Abstract

Telemedicine's growth during the COVID-19 pandemic exposed digital and health disparities in U.S. communities. Public health advocates suggest disparities in healthcare access may be mitigated through free or low-cost broadband. However, prior research shows that many factors influence patient adoption of information technologies; therefore, increasing access to broadband alone is insufficient. This paper advances a patient-centered model of telemedicine (TM) adoption supported by qualitative interview data. The model illustrates that patient adoption of TM is driven by a complex sociotechnical system comprised of technology factors, structural factors underlying the provider's provision of TM, and individual patient factors. Findings highlight the importance of the physical place of the TM visit, the need for experienced TM healthcare workers and technology support for patients, the impact of provider-mandated technology on task-technology fit (TTF), and the strength of the patient-provider relationship. These factors affect patient perceptions of TTF and ultimately TM adoption.
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Background

Sociotechnical Systems Theory

Sociotechnical systems theory (STS) focuses on understanding how a social system incorporates new technologies, described as having both social and technical components that interact and influence each other (Bostrom et al., 2009). According to STS, the social and the technical should be allocated comparable emphases in understanding technology adoption and usage, where the interplay between the two results in unintended consequences and outcomes that cannot be completely planned, controlled, or understood in advance (Beath et al., 2013; Bostrom & Heinen, 1977). STS perspectives have a long history of application in the information systems field. Scholars have used STS to explain the use of technology in practice (Bostrom & Heinen, 1977; Orlikowski, 2000; Sarker et al., 2019), and, inspired by calls to action more than a decade ago (Whetton & Georgiou, 2010), health informatics research using an STS lens has expanded (e.g., Bernardo et al., 2020; Mohr & Dessers, 2019; Sittig & Singh, 2015).

In this paper, the authors explore the meaning of task–technology fit (TTF) in the context of health care service delivery from the patient’s perspective. The concept of TTF can be broadly applied to any situation in which individuals use technology to accomplish a specific task and is defined as the correspondence between task requirements, individual abilities, and the functionality of the technology (Goodhue & Thompson, 1995). An examination of the patient’s perception of TTF through an STS lens reveals that changing one part of the system alone—for example, by expanding access through broadband—may not have the expected positive impact on patient adoption and improved health care outcomes.

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