Analyzing Healthcare Price Transparency: Will Patients Shop for Services More Effectively?

35 Pages Posted: 3 Nov 2023

See all articles by Hangcheng Zhao

Hangcheng Zhao

University of Pennsylvania - The Wharton School

Ron Berman

University of Pennsylvania - The Wharton School

Date Written: November 1, 2023

Abstract

Recently, the US mandated healthcare price transparency to facilitate easier comparison of healthcare prices. However, the potential effectiveness of this policy is an open question. We use a large-scale health insurance claims dataset to estimate the potential maximum savings from price transparency. We focus on short-term, demand-side estimates, where patients can shop around and switch to cheaper providers. We analyze the set "shoppable" services whose price information must be reported online. Initially, our data points to a large potential for savings due to a large degree of price dispersion. However, when viewed from the consumer shopping perspective, even the most optimistic estimates of potential savings become limited. The reasons are that the location and insurance network of the patient, the structure of healthcare insurance payments, and the information made available by the transparency rule lower patients’ incentive to save. We find that the best-case scenario for patients’ out-of-pocket savings from price - shopping is 3% of the total cost on average. Our analysis suggests that the existing estimates in the literature might be overestimated, as they overlook the consumer shopping perspective. Hence, patients’ potential savings and the demand-side impact of the transparency rule might not be as impactful as initially hoped for.

Keywords: Price transparency, Healthcare, Consumer search, Healthcare shopping

JEL Classification: D04, D12, D83, I11, I18, M31, M38

Suggested Citation

Zhao, Hangcheng and Berman, Ron, Analyzing Healthcare Price Transparency: Will Patients Shop for Services More Effectively? (November 1, 2023). The Wharton School Research Paper, Available at SSRN: https://ssrn.com/abstract=4620347 or http://dx.doi.org/10.2139/ssrn.4620347

Hangcheng Zhao (Contact Author)

University of Pennsylvania - The Wharton School ( email )

3641 Locust Walk
Philadelphia, PA 19104-6365
United States

Ron Berman

University of Pennsylvania - The Wharton School ( email )

3641 Locust Walk
Philadelphia, PA 19104-6365
United States

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