Impact of Digital Divide on the Adoption of Online Patient Portals for Self-Motivated Patients
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Objectives: Our study aimed to determine the effect of the digital divide in the adoption of online patient portals by motivatedpatients who wish to improve their health outcomes through the use of the Internet and information technology to assessdeterminants of low adoption rates of online portals and to explore social media use as a correlation to patient portal use. Methods: We utilized data from the Health Information National Trends Survey (HINTS) 2017 and 2018. We performed across-sectional study analyzing the outcome variable of patient portal use with several predictor variables, namely, age, maritalstatus, gender, mental health, education, Medicaid, income, number of people in household, trust, social media, chronicdisease, and health app use. Basic descriptive statistics and logistic regression were performed using SPSS version 25. Results:Our study found that low adoption rates go beyond the digital divide. A correlation exists between social media use andpatient portal use, and the impact of previously identified factors on patients with self-motivation for health improvement. Conclusions: Self-motivation is an important factor in patient portal use and access. Behavioral and motivational interventionsgeared towards the adoption of health information technology tools, such as online portals, can assist with improvingthe public health significance of these tools.
Abstract
Objectives: Our study aimed to determine the effect of the digital divide in the adoption of online patient portals by motivatedpatients who wish to improve their health outcomes through the use of the Internet and information technology to assessdeterminants of low adoption rates of online portals and to explore social media use as a correlation to patient portal use. Methods: We utilized data from the Health Information National Trends Survey (HINTS) 2017 and 2018. We performed across-sectional study analyzing the outcome variable of patient portal use with several predictor variables, namely, age, maritalstatus, gender, mental health, education, Medicaid, income, number of people in household, trust, social media, chronicdisease, and health app use. Basic descriptive statistics and logistic regression were performed using SPSS version 25. Results:Our study found that low adoption rates go beyond the digital divide. A correlation exists between social media use andpatient portal use, and the impact of previously identified factors on patients with self-motivation for health improvement. Conclusions: Self-motivation is an important factor in patient portal use and access. Behavioral and motivational interventionsgeared towards the adoption of health information technology tools, such as online portals, can assist with improvingthe public health significance of these tools.
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