Research
Publications
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“Healthcare Visit Modality Among Older Adults: Telehealth and Subsequent Emergency Department Use” (2024)
Co-authors: Kosali Simon, Emily Hayden
Telemedicine Reports, Vol. 5, No. 1, 2024, Pages 152-157
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“A Recursive Logit Model with Choice Aversion and Its Application to Transportation Networks.” (2022)
Co-authors: Jorge Lorca, Emerson Melo
Transportation Research Part B: Methodological, Volume 155, January 2022, Pages 47-71
[Code]
Working Papers
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“Disparities by Race in Pharmacologic Treatment Among Opioid Exposed Infants Who Meet Finnegan Treatment Thresholds” (Latest Draft: June 2024)
Co-authors: Angela Campbell, Deziree Jackson, Saman Naz, Marc Rosenman, Emily Scott, Sami Gharbi, Sarah Wiehe
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“Pregnancy Identification and Radiology Scans in the Emergency Department: A Causal Analysis” (Latest Draft: June 2024)
Co-authors: Angela Campbell, Sami Gharbi, Sarah Wiehe
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Job Market Paper: “Health Outcomes, Information Costs, and the Rise of Telehealth during the COVID-19 Pandemic” (Latest Draft: April 2024)
Abstract: How has the increase in synchronous telemedicine services throughout the COVID-19 pandemic impacted patient health outcomes? Using 2018-2022q1 claims data from Optum’s de-identified Clinformatics®️ Data Mart Database, I examine differences in telehealth and face-to-face care for office and outpatient evaluation and management (E/M) service claims, where telehealth coding has been the most frequent. Telehealth usage is associated with higher likelihood of patient mortality and ER visit within 6 months of E/M service claim, where I find an average effect of 5 additional deaths and 13 additional ER visits per 1,000 patients in the post-March 2020 period. To explain observed differences in health outcomes across visit modalities, I model the physician-patient interaction as a costly information acquisition problem, where rationally inattentive physicians learn about the patient’s health status through costly signals. Estimated increases in information costs with telehealth usage range between 5 to 29 percent on average after March 2020. These findings quantify the consequences of using telehealth as a substitute for in-person care.
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“Refining the Analysis of Medicare Plan Choices and Utilization: A Disaggregated Approach” (Latest Draft: February 2024)
Co-authors: Michael DeDad, Volodymyr Lugovskyy, Alexandre Skiba
[Code]
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“Effects of Public Price Transparency Tools on Shopping for Health Care” (Latest Draft: September 2023)
Works in Progress
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“Social and Neighborhood Determinants of Healthcare: Medical Appointments No-Show Rates in Urban and Rural Indiana”
Project: Using patient health records and appointment scheduling information from the Indiana Health Information Exchange through Regenstrief Institute Data Core to study no-show behavior
Co-authors: Volodymyr Lugovskyy, Patrick Shih
Additional Projects
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“Fraud Detection with Medicare Provider Data” (2022)
Collaborators: Jonathan Leslie
Created for Erdős Institute’s Fall 2022 Code Data Science Boot Camp