4.3 Article

Hospital Telehealth Adoption Increased in 2014 and 2015 and Was Influenced by Population, Hospital, and Policy Characteristics

Journal

TELEMEDICINE AND E-HEALTH
Volume 26, Issue 4, Pages 455-461

Publisher

MARY ANN LIEBERT, INC
DOI: 10.1089/tmj.2019.0029

Keywords

policy; health care value; Medicare; telehealth; adoption; reimbursement

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Background: Telehealth can increase value by reducing gaps in care, access, and cost for patients, providers, and payers. Medicare reimbursement policies aim to increase health access in areas with a provider shortage. Introduction: The influences of telehealth adoption over time are not well known, and would be beneficial for further policy discussion. Materials and Methods: Using the Information Technology Supplement to the American Hospital Association Annual Survey of Acute Care Hospitals, we determined several predictors of telehealth adoption in California hospitals from 2012 to 2015. Results: There were 870 hospitals evaluated. Telehealth adoption was more likely in 2014 and 2015. Compared with those not using telehealth, hospitals using telehealth were less likely to be located in more populated areas (odds ratio [OR] = 0.74; 95% confidence interval [CI]: 0.57-0.98), nonrural areas as defined by metropolitan statistical area (OR = 0.37; 95% CI: 0.20-0.70), and have a higher percentage of employed individuals (OR = 0.0001; 95% CI: 0.00-0.010). Hospitals were more likely to adopt telehealth if they had mobile device integration into the electronic health record (EHR) (OR = 2.97; 95% CI: 1.39-6.33) or a higher percentage of commuters in their ZIP code (OR = 20.24; 95% CI: 1.29-317.4). Telehealth reimbursement for health professional shortage areas did not contribute to increased telehealth adoption. Discussion: The findings suggest how addressing current infrastructural and policy barriers may improve value-based care. Conclusion: Our analysis suggests that telehealth has become more prominent since 2014, and factors such as significant commuting population, mobile device/EHR integration, and nonrural location influence adoption.

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