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Correcting for bias when estimating the cost of hospital-acquired infection : an analysis of lower respiratory tract infections in non-surgical patients

Graves, Nicholas, Roberts, Jennifer, & Weinhold, Diana (2005) Correcting for bias when estimating the cost of hospital-acquired infection : an analysis of lower respiratory tract infections in non-surgical patients. Health Economics, 14(7), pp. 755-761.

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Abstract

Hospital acquired infections (HAI) are costly but many are avoidable. Evaluating prevention programmes requires data on their costs and benefits. Estimating the actual costs of HAI (a measure of the cost savings due to prevention) is difficult as HAI changes cost by extending patient length of stay, yet, length of stay is a major risk factor for HAI. This endogeneity bias can confound attempts to measure accurately the cost of HAI. We propose a two-stage instrumental variables estimation strategy that explicitly controls for the endogeneity between risk of HAI and length of stay. We find that a 10% reduction in ex ante risk of HAI results in an expected savings of £693 ($US 984).

Impact and interest:

17 citations in Scopus
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12 citations in Web of Science®

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ID Code: 23603
Item Type: Journal Article
Keywords: Hospital Acquired Infection, Health Economics, Endogenous Variables
DOI: 10.1002/hec.967
ISSN: 1057-9230
Subjects: Australian and New Zealand Standard Research Classification > ECONOMICS (140000) > APPLIED ECONOMICS (140200) > Health Economics (140208)
Divisions: Current > Research Centres > Centre for Health Research
Current > QUT Faculties and Divisions > Faculty of Health
Deposited On: 18 Jun 2009 00:00
Last Modified: 29 Feb 2012 23:14

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