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

Graves, N, Weinhold, D and Roberts, JA (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: 755-761. doi:10.1002/hec.967


Author Graves, N
Weinhold, D
Roberts, JA
Title Correcting for bias when estimating the cost of hospital-acquired infection: An analysis of lower respiratory tract infections in non-surgical patients
Journal name Health Economics   Check publisher's open access policy
ISSN 1057-9230
Publication date 2005-01-01
Sub-type Article (original research)
DOI 10.1002/hec.967
Open Access Status
Volume 14
Issue 7
Start page 755
End page 761
Total pages 7
Language eng
Subject 2900 Nursing
2002 Cultural Studies
3306 Health (social science)
3600 Health Professions
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). Copyright
Keyword Costs
Endogenous variables
Hospital-acquired infection
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: ResearcherID Downloads - Archived
Scopus Import - Archived
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 19 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Sat, 16 Jul 2016, 05:01:49 EST by System User