Testing efficacy with detection controlled estimation: An application to telemedicine

W. David Bradford, Andrew N. Kleit, M. A. Krousel-Wood, Richard N. Re

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Detection controlled estimation (DCE) is a powerful new econometric estimator in the family of missing data estimators. By collecting measures from a variety of inspectors or inspection technologies, DCE is able to make inferences about the entire population, even when that population is not directly observed. Using this innovative method, we were able to assess whether telemedicine technology could be substituted for in-person visits when providing maintenance care for patients with hypertension. Our findings indicate that there is no support for the proposition that telemedicine is less effective than in-person visits for determining whether patients have high blood pressure. Indeed, our results imply that telemedicine misses 7% fewer cases of high blood pressure than in-person visits do. The results of this study indicate that DCE may be an effective tool for use in cost-effectiveness or cost-benefit analysis in health care.

Original languageEnglish (US)
Pages (from-to)553-564
Number of pages12
JournalHealth economics
Volume10
Issue number6
DOIs
StatePublished - Oct 6 2001

All Science Journal Classification (ASJC) codes

  • Health Policy

Fingerprint Dive into the research topics of 'Testing efficacy with detection controlled estimation: An application to telemedicine'. Together they form a unique fingerprint.

Cite this