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Investigating propensity for patient telemedicine technology adoption utilizing trust, distrust, spatial accessibility, privacy, and demographics
Dissertation   Open access

Investigating propensity for patient telemedicine technology adoption utilizing trust, distrust, spatial accessibility, privacy, and demographics

Randy J. Stark
Doctor of Business Administration (D.B.A.), Drexel University
Feb 2021
DOI:
https://doi.org/10.17918/00000383
pdf
Stark_Randy_202118.48 MBDownloadView

Abstract

Web portals Medical telematics Telecommunication in medicine Industrial management
Adoption of telemedicine health portals have the potential to benefit patient, provider, and payor stakeholders. Despite the potential benefits of portals, patients historically have low activation/utilization rates and the reasons for such are not well understood. The aim of this research investigated the unique drivers that influence the complex patient activation process of a health portal within a large rural healthcare organization. To achieve this, a patient survey was administered to measure core variables of interest such as distance/travel time to medical facilities, personal information privacy, trust, distrust, as well as items adapted from behavioral intention frameworks, namely the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB). Survey response data for activated and non-activated patients were combined with demographic data obtained from electronic health records and then analyzed based on the research model. Overall, results indicate support for the research model's utility in predicting patient behavioral intentions to activate a health portal. GLM regression results for non-activated patients suggest intentions to activate are influenced by specific features/functionality, perceived ease of use, social norms, perceived usefulness, and protections. Additionally, results indicate key differences exist within specific segments of the population, such as males and females, suggesting that various demographics and controls have implications to consider for behavioral intentions to activate. Results did not indicate strong support for the postulations of distance, travel time, trust or distrust as factors of direct and significant influence on behavioral intentions to activate. The findings suggest that high levels of trust and low levels of distrust toward the organization exist, which should be considered when comparing results across institutions and in various use cases or contexts. In conclusion, results suggest that segmenting the population and customizing the marketing or launch communications of a health portal to these segments may increase patient behavioral intentions and subsequent activation of a health portal. The key piece to increasing adoption and utilization of a patient health portal lies in the actual activation process because those who do not activate the technology can't ever take advantage of the features and benefits a health portal may have for them.

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