BACKGROUND: Positron emission tomography (PET) with 18-fluorodeoxyglucose (FDG) is a potentially useful but expensive test to diagnose solitary pulmonary nodules. OBJECTIVE: To evaluate the cost-effectiveness of strategies for pulmonary nodule diagnosis and to specifically compare strategies that did and did not include FDG-PET. DESIGN: Decision model. DATA SOURCES: Accuracy and complications of diagnostic tests were estimated by using meta-analysis and literature review. Modeled survival was based on data from a large tumor registry. Cost estimates were derived from Medicare reimbursement and other sources. TARGET POPULATION: All adult patients with a new, noncalcified pulmonary nodule seen on chest radiograph. TIME HORIZON: Patient lifetime. PERSPECTIVE: Societal. INTERVENTION: 40 clinically plausible combinations of 5 diagnostic interventions, including computed tomography, FDG-PET, transthoracic needle biopsy, surgery, and watchful waiting. OUTCOME MEASURES: Costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios. RESULTS OF BASE-CASE ANALYSIS: The cost-effectiveness of strategies depended critically on the pretest probability of malignancy. For patients with low pretest probability (26%), strategies that used FDG-PET selectively when computed tomography results were possibly malignant cost as little as 20 000 dollars per QALY gained. For patients with high pretest probability (79%), strategies that used FDG-PET selectively when computed tomography results were benign cost as little as 16 000 dollars per QALY gained. For patients with intermediate pretest probability (55%), FDG-PET strategies cost more than 220 000 dollars per QALY gained because they were more costly but only marginally more effective than computed tomography-based strategies. RESULTS OF SENSITIVITY ANALYSIS: The choice of strategy also depended on the risk for surgical complications, the probability of nondiagnostic needle biopsy, the sensitivity of computed tomography, and patient preferences for time spent in watchful waiting. In probabilistic sensitivity analysis, FDG-PET strategies were cost saving or cost less than 100 000 dollars per QALY gained in 76.7%, 24.4%, and 99.9% of computer simulations for patients with low, intermediate, and high pretest probability, respectively. CONCLUSIONS: FDG-PET should be used selectively when pretest probability and computed tomography findings are discordant or in patients with intermediate pretest probability who are at high risk for surgical complications. In most other circumstances, computed tomography-based strategies result in similar quality-adjusted life-years and lower costs.

Contemporary clinical trials commonly measure quality of life and medical costs to establish whether therapies are both effective and cost effective. Cost-effectiveness analysis, however, requires a measure of patient utility or preferences for various health states. Because utilities are not often measured directly, we sought to develop a method of translating standard quality-of-life scales into a patient utility measure.

Methods

Five hundred fifty-three patients enrolled in the Bypass Angioplasty Revascularization Investigation Study of Economics and Quality of Life completed a battery of quality-of-life measures and a time trade-off utility assessment an average of 7.3 years after random assignment.

Results

The mean time trade-off score was 8.54 (SD ? 2.53) out of a maximum of 10; median score was 9.95. The distribution of scores was skewed, with 12% of patients at the highest possible score of 10. Patients with recurrent angina had significantly lower time trade-off scores than patients without angina (mean 7.03 vs 8.70, P .05). Time trade-off scores were moderately correlated with each quality-of-life measure (Spearman coefficients 0.38-0.52). Time trade-off scores could be predicted by combinations of 4 (r² ? 0.29), 5 (r² ? 0.31), or 6 (r² ? 0.32) variables.

Conclusions

Time trade-off utility scores can be inferred from commonly used quality-of-life measures. Angina significantly reduces patient utility scores.

Functional status as measured by dependencies in the Activities of Daily Living (ADLs) is an important indicator of overall health for older adults. Methodologies for outcomes-based medical-decision-making for public policy, such as decision modeling and cost-effectiveness analysis, require utilities for outcome health states. Utilities have been reported for many disease states, but have not been indexed by functional status, which is a strong predictor of outcome in geriatrics. We describe here a utility elicitation program developed specifically for use with computer-inexperienced older adults: Functional Limitation And Independence Rating (FLAIR1). FLAIR1 design features address common physical problems of the aged and computer attitudes of inexperienced users that could impede computer acceptance. We interviewed 400 adults ages 65 years and older with FLAIR1. In exit interviews with 154 respondents, 118 (76%) found FLAIR1 easy to use. Design features in FLAIR1 can be applied to other software for older adults.