how much do health care associated infections really cost?
TRANSCRIPT
i n s t i t u t e o f h e a l t h a n d b i o m e d i c a l i n n o v a t i o n ■
How much do health care associated infections really
cost?
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cost? and does preventing them
save money?
Kate Halton [email protected]
Background
• HAI are costly & preventable
• Diminishing returns for prevention
• Zero risk not feasible
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• Patient safety politically important
Allocating resources to infection control
Big number & scaremongering
Withhold payments for perceived preventable infections
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Economic evaluations that quantify important parameters
Important economic parameters for evaluating infection control
Cost outcomes Health outcomes
Cost of infection control
Infection treatment costs saved Infection related morbidity avoided
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Infection diagnosis costs saved Infection related mortality avoided
Length of stay reduced
Cost-effectiveness plane
Cost($)
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Health Benefit(QALYs)
driving this is the bed-days released by preventing infection
Estimating the role of infection in length of stay
adverse event
healthcare associated infection
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dischargeadmission
How many days??What are they worth??
Estimating increases to length of stay
Estimation methods available
– Expert attribution
– Unadjusted comparison
– Matched study
– Regression model
15d
23d
13d
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Feedback effectsInfection extends length of stay; BUTlonger patient is in hospital the higher their risk of infection
Multistate models
– Regression model
able to adjust for timing of infection
7d
What’s the impact of ignoring this bias?
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Study
Compared multi-state model with regression model
Data
• 11 ICUs in Argentina
• 9,545 admissions
• 8.7% rate of infection
Results
Extra length of stay
11.23 days (RM)
1.35 days (MSM)
Example with QLD data
Nine Queensland hospitals
2.7 million admissions between 1 January 2005 and 31 December 2010
Multistate model to estimate risk of mortality & extra length of stay
Infection type Number of Number Hazard ratio Mean extra length of ICU stay
Barnett et al. work in progress
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Infection type Number of
infections
Number
of deaths
Hazard ratio
in-hospital
death
Mean extra length of ICU stay
due to infection (95% CI)
Died Discharged
BSI
(gram positive)2,141 866 3.0 (2.6, 3.5) 3.9 (2.4, 5.4) 1.0 (0.4, 1.8)
BSI
(SAB)744 303 3.4 (2.6, 4.4) 1.8 (0.7, 8.4) 1.0 (0.2, 2.5)
BSI
(gram negative)2,044 880 2.1 (1.8, 2.5) 2.9 (1.6, 4.2) 0.6 (0.3, 0.9)
What’s the value of an ICU bed-day?
Opportunity cost (willingness-to-pay) for bed day
Influenced by
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– demand levels (waiting lists)
– ability to utilise extra bed-days (staffing constraints)
– level of reimbursement for admitting extra patients (WEIS budgets)
– impact on consumable costs (1st days more costly)
– budgetary flexibility (closure)
– level of decision making (reallocate budgets, responsibilities)
Example with antimicrobial catheters
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StudyPurpose: compare cost-effectiveness of antibiotic-coated catheters with non-coated catheters
Setting: Australian hospitals
Study design: economic decision model
Data: hospital databases, published literature
Results
Use of antibiotic catheters means:(per 1000 catheters)
15 infections avoided
32.8 ICU bed days released
$130,289 costs saved
1.64 QALYs gained
COST-SAVING
Outcomes per 1,000
catheters
Scenario Value of a bed day Change in costs
Change in QALYs
Willing to pay for extra $3,021 ICU / $843 ward - $130,289 1.64
Example with antimicrobial catheters cont...
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Willing to pay for extra unit capacity
$3,021 ICU / $843 ward - $130,289 1.64
Interested only in cash savings
$335 ICU / $101 ward + $28,257 1.64
Example with antimicrobial catheters cont...
Cost
WTP $15,000 / QALY
WTP $64,000 / QALY
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Health Benefit
WTP $15,000 / QALY
Take home messages
• Infection control unlikely to be cash-saving
• Value more likely to be efficiency gain – capacity that’s freed up
• Implications for decision makers in different levels/areas
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• Implications for decision makers in different levels/areas
• Cost-effective doesn’t mean same as cost-saving
• Sometimes you have to invest to get better outcomes
Policy relevance
Scaremongering with big ($) numbers
knee jerk reactions
expectations raised inappropriately
an oversized stick
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Good quality cost effectiveness models
may show moderate cost savings
may show low cost-effectiveness
higher credibility
Multidisciplinary teamEconomics
Statistics
Epidemiology
Maths
Evidence Synthesis
KateKat
Nick
Adrian
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Evidence Synthesis
Psychology
Project management
Liz
Nick
Jim
HenryMeganKatie
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