The Potential Effect of Telehealth Policies Adjustment on Telehealth Usage During Pandemic Period Öffentlichkeit

Abstract

Since March 2020, Covid-19 has posed a significant challenge on the world in many aspects, especially on our healthcare system. Fortunately, Telehealth stands out as an effective method of conducting proper health without direct face-to-face contact, which helps decrease the possibility of getting impacted by the Covid-19. It is commonly believed that the Telehealth adoption rate is affected by the severity of the pandemic. It is also widely acknowledged that the Telehealth policy changes during the pandemic may positively affect the Telehealth adoption rate. This study aims to provide possible different perspectives about the statements above. After analyzing the limited data we have, we suggest that covid confirmed case may have little or nearly no effect on the Telehealth adoption rate. Besides, our analysis suggests that it is possible that the Telehealth policy changes have a positive effect on Telehealth usage, and the effect was smaller in states with Republican governors than in states with Democratic governors. What is more, the potential effect was also smaller in Southern states than in Northern states. However, many other factors that may affect the result exist but were not included due to the lack of available data. More related data like individuals' attitudes towards Telehealth usage before and after the policy changes is needed to test the effect of the policy changes further.

Table of Contents

Table of Content

Introduction:.................................................................................................................................... 1

Literature Review............................................................................................................................ 2

Barriers of Telehealth Promotion................................................................................................ 2

Policies to Tackle Telehealth Barriers during Pandemic ............................................................ 3

Why Study Telehealth Policy ..................................................................................................... 5

The importance of Studying Governor Partisanship Difference and Geographic Difference .... 6

Data ................................................................................................................................................. 8

Exploratory Data Analysis .......................................................................................................... 9

(A) Graph for the General Telehealth Usage Trend ............................................................. 10

(B) Graph for the General Covid-19 Cases Trend ................................................................ 11

Method .......................................................................................................................................... 12

Ordinary Least Square (OLS) Regression Model ..................................................................... 12

Two-Way Fixed Effect Model .................................................................................................. 15

Result ............................................................................................................................................ 16

(D) Graph for the Counterfactual Telehealth Usage Trend ...................................................... 18

(E) Graph for Model Result of Fitting the OLS on April and March Telehealth Usage Difference ..................................................... 19

(H) Result of Fitting the OLS with Partisanship Dummy......................................................... 21

(K) Result of Fitting (DR) only ................................................................................................ 23

Conclusion .................................................................................................................................... 24 References..................................................................................................................................... 26

About this Honors Thesis

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School	Emory College
Department	Quantitative Science
Degree	B.S.
Submission	Honors Thesis
Language	English
Research Field	Political Science, General Statistics
Stichwort	Telehealth Two-Way-Fixed Effect Policy
Committee Chair / Thesis Advisor	Hirshberg, David, Emory University Patty, W. John, Emory University
Committee Members	Chen, Kaiji, Emory University Jacobson, Jeremy, Emory University

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