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Background Mobile health (mHealth) interventions have the potential to improve health through patient education and provider engagement while increasing efficiency and lowering costs. This raises the question of whether disparities in access to mobile technology could accentuate disparities in mHealth mediated care. This study addresses whether programs planning to implement mHealth interventions risk creating or perpetuating health disparities based on inequalities in smartphone ownership. Methods Video Directly Observed Therapy (VDOT) is an mHealth intervention for monitoring tuberculosis (TB) treatment adherence through videos sent by patients to their healthcare provider using smartphones. We conducted secondary analyses of data from a single-arm trial of VDOT for TB treatment monitoring by San Diego, San Francisco, and New York City health departments. Baseline and follow-up treatment interviews were used to assess participant smartphone ownership, sociodemographics and TB treatment perceptions. Univariate and multivariable logistic regression analyses were used to identify correlates of smartphone ownership. Results Of the 151 participants enrolled, mean age was 41 years (range: 18–87 years) and 41.1% were female. Participants mostly identified as Asian (45.0%) or Hispanic/Latino (29.8%); 57.8% had at most a high school education. At baseline, 30.4% did not own a smartphone, which was similar across sites. Older participants (adjusted odds ratio [AOR] = 1.09 per year, 95% confidence interval [CI]: 1.05–1.12), males (AOR = 2.86, 95% CI: 1.04–7.86), participants having at most a high school education (AOR = 4.48, 95% CI: 1.57–12.80), and those with an annual income below $10,000 (AOR = 3.06, 95% CI: 1.19, 7.89) had higher odds of not owning a smartphone. Conclusions Approximately one-third of TB patients in three large United States of America (USA) cities lacked smartphones prior to the study. Patients who were older, male, less educated, or had lower annual income were less likely to own smartphones and could be denied access to mHealth interventions if personal smartphone ownership is required.

Objectives: To categorize the primary reasons for electronic consults (eConsults) to otolaryngology from primary care physicians (PCPs). To determine how many patients avoided subsequent in-person otolaryngology office visits. Methods: This is a retrospective analysis of a pilot study that took place between 2016 and 2017 regarding eConsults to adult otolaryngology placed by primary care physicians at the University of California, San Diego (UCSD) Medical Center. The complaints were categorized as related to the following: ear, nose, throat or neck. Initial recommendations were classified as (1) providing education only (no intervention), (2) suggesting medical therapy provided by the PCP, or (3) suggesting surgical intervention. Univariate statistics and multinomial logistic regression were used to analyze the association of problem type with the need for follow-up in the otolaryngology offices. The data was analyzed for differences in patient age and gender. Results: The study population included 64 patients (average age 54.6 years, 60.9% male). Within this group, 41% of consults were for ear complaints, 15% for nose complaints, 28% had throat-related complaints, and 16% had neck-related complaints. In-person follow-up was not required for 82.8% of the consults. Overall, 76.9% of ear, 100% of nose, 88.9% of throat, and 70.0% of neck complaints did not require in-person visits. Conclusions: eConsults to otolaryngology were primarily for ear concerns. Of the eConsults, 82.4% did not require in-person follow-up. We therefore conclude that the use of eConsults prevented substantial office visits that would not otherwise be necessary. Efforts should be made to promote the widespread use of eConsults, which may to the more efficient use of resources.

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