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Pediatric Clinics of North America - CIPERJ

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292 O’BRIEN<br />

diagnosis-related groups, laboratory costs can be obtained from the Clinical<br />

Diagnostic Laboratory Fee Schedule, and the costs <strong>of</strong> physician visits, tests,<br />

and procedures can be estimated using Healthcare Common Procedure<br />

Coding System codes. More information about these data sources and<br />

the Physician Fee Schedule Search can be found at the Centers for Medicare<br />

and Medicaid Services Web site [13]. In 1996, the Panel on Cost-Effectiveness<br />

in Health and Medicine published consensus-based recommendations<br />

for the conduct <strong>of</strong> cost-effectiveness analyses [14]. This document is an excellent<br />

resource that addresses the proper methodology for measuring costs<br />

and health consequences, incorporating time preferences and discounting,<br />

and handling uncertainty in cost-effectiveness analyses.<br />

Economic evaluations that take a societal point <strong>of</strong> view, as recommended<br />

by the Panel on Cost-Effectiveness in Health and Medicine, must include the<br />

indirect costs <strong>of</strong> health care. These costs include patient transportation expenses<br />

for <strong>of</strong>fice and laboratory visits and costs for patient time. Productivity<br />

losses, or costs for time, are yet to be well described for children and<br />

adolescents. A common technique for estimating the costs <strong>of</strong> adult patient<br />

and parent time is to base these costs on the average hourly wage <strong>of</strong> a United<br />

States non–farm production worker, published annually by the United<br />

States Department <strong>of</strong> Labor, Bureau <strong>of</strong> Labor Statistics [15].<br />

Although usually considered under the umbrella term <strong>of</strong> ‘‘cost-effectiveness<br />

analyses,’’ it is important to distinguish cost-effectiveness from costutility<br />

analyses. Both studies measure costs in the same manner; it is the<br />

benefits that are measured in different metrics [16]. In a cost-effectiveness<br />

analysis, costs all are related to a single, common effect. For example,<br />

an investigator could compare ultrasonography to venography in terms<br />

<strong>of</strong> number <strong>of</strong> upper extremity DVTs detected or primary versus secondary<br />

hemophilia prophylaxis in terms <strong>of</strong> number <strong>of</strong> joint bleeds. In a cost-utility<br />

analysis, outcomes are measured in terms <strong>of</strong> the value placed on the outcome<br />

rather than the outcome itself, which usually is expressed as qualityadjusted<br />

life-years (QALYs). Total QALYs are calculated for each strategy<br />

by multiplying the time spent in a state <strong>of</strong> health by the utility value <strong>of</strong><br />

that particular health state. Utilities represent a patient’s preference for<br />

a particular health state and can range from 0 (death) to 1 (perfect health).<br />

There are two main advantages to the use <strong>of</strong> QALYs as an outcome measure:<br />

(1) the measure combines length <strong>of</strong> life and quality <strong>of</strong> life into a single<br />

outcome and (2) the measure allows direct comparison <strong>of</strong> health benefits<br />

across different diseases, patient populations, and studies [17].<br />

Utilities can be measured in several different ways. An investigator can<br />

measure utilities directly for the decision analysis model by performing<br />

a choice-based valuation technique, such as the standard gamble or time<br />

trade-<strong>of</strong>f method, in a representative sample <strong>of</strong> the general population. In<br />

the standard gamble, the respondent is asked to consider one health state<br />

with a certain outcome and one that involves a gamble between two additional<br />

health states. The probability <strong>of</strong> the gamble is varied until the

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