254
Views
1
CrossRef citations to date
0
Altmetric
Research Article

An empirical investigation on the economic impact of shared patient information among doctors

ORCID Icon, ORCID Icon, &
Pages 3555-3573 | Published online: 23 Jan 2020
 

ABSTRACT

This study investigates how an increase in patient information sharing among doctors impacts healthcare costs. To this end, we explore this impact through two mechanisms – the informative role of patient health conditions and the cross-monitoring role against doctor-driven induced healthcare demands. We utilize a unique policy intervention (a drug utilization review) introduced in 2009 in Korea that enables doctors to share outpatients’ prescription histories. Using difference-in-differences, we found that, when patient information is improved, there is a reduction in pharmaceutical spending. This result is especially true for those patients who have relatively weak information-sharing capabilities. Using data on the amount of antibiotics prescribed for the common cold, we find that a cross-monitoring of prescriptions among doctors reduces the amount of unnecessary prescriptions and thus healthcare spending.

JEL CLASSIFICATION:

Acknowledgments

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2018S1A3A2075175) and by a Korea University Grant (K1908581).

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 387.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.