Testing efficacy with detection controlled estimation: an application to telemedicine.
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.
Bradford
W D
WD
Center for Health Care Research, Medical University of South Carolina, USA.
Kleit
A N
AN
Krousel-Wood
M A
MA
Re
R N
RN
D000368:Aged; D000369:Aged, 80 and over; D015982:Bias; D003362:Cost-Benefit Analysis; D003627:Data Interpretation, Statistical; D005260:Female; D006302:Health Services Research; D006801:Humans; D006973:Hypertension / Q000175:diagnosis / Q000628:therapy*; D016013:Likelihood Functions; D008297:Male; D017059:Models, Econometric; D012107:Research Design; D012307:Risk Factors; D012720:Severity of Illness Index; D013673:Technology Assessment, Biomedical / Q000191:economics*; D017216:Telemedicine / Q000191:economics* / Q000592:standards; D016896:Treatment Outcome