Willingness to pay for diagnostic technologies: a review of the contingent valuation literature

Date: June 10, 2013
Journal: Value in Health
Citation: Lin PJ, Cangelosi MJ, Lee DW, Neumann PJ. Willingness to pay for diagnostic technologies: a review of the contingent valuation literature. Value in Health. 2013 Jul-Aug;16(5):797-805.

ABSTRACT

Objectives

To understand how people value information from diagnostic technologies, we reviewed and analyzed published willingness-to-pay (WTP) studies on the topic.

Methods

We searched PubMed for English-language articles related to WTP for diagnostic laboratory tests published from 1985 through 2011. We characterized methodological differences across studies, examined individual- and technology-level factors associated with WTP, and summarized median WTP values across different diagnostic tests.

Results

We identified 66 relevant WTP studies. Half focused on oncology, while others analyzed infectious diseases (n = 11, 16.1%) and obstetric or gynecological conditions (n = 8, 11.7%), among others. Most laboratory tests included in studies were biological samples/genetic testing (n = 44, 61.1%) or imaging tests (n = 23, 31.9%). Approximately one third of the analyses (n = 20, 30.3%) used discrete-choice questions to elicit WTP values. Higher income, education, disease severity, perceived disease risk, family history, and more accurate tests were in general associated with higher WTP values for diagnostic information. Of the 44 studies with median WTP values available, most reported a median WTP value below $100. The median WTP value for colon or colorectal cancer screening ranged from below $100 to over $1000.

Conclusions

The contingent valuation literature in diagnostics has grown rapidly, and suggests that many respondents place considerable value on diagnostic information. There exists, however, great variation in studies with respect to the type of technologies and diseases assessed, respondent characteristics, and study methodology. The perceived value of diagnostic technologies is also influenced by the study design and elicitation methods.

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