Testing efficacy with detection controlled estimation: an application to telemedicine

B-Tier
Journal: Health Economics
Year: 2001
Volume: 10
Issue: 6
Pages: 553-564

Authors (4)

W. David Bradford (University of Georgia) Andrew N. Kleit (not in RePEc) M. A. Krousel‐Wood (not in RePEc) Richard N. Re (not in RePEc)

Score contribution per author:

0.503 = (α=2.01 / 4 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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. Copyright © 2001 John Wiley & Sons, Ltd.

Technical Details

RePEc Handle
repec:wly:hlthec:v:10:y:2001:i:6:p:553-564
Journal Field
Health
Author Count
4
Added to Database
2026-01-24