title: Understanding the medical and nonmedical value of diagnostic testing.
abstract: OBJECTIVE
  To develop a framework for defining the potential value of diagnostic testing, and discuss its implications for the health-care delivery system.
  
  
  METHODS
  We reviewed the conceptual and empirical literature related to the valuing of diagnostic tests, and used this information to create a framework for characterizing their value. We then made inferences about the impact of this framework on health insurance coverage, health technology assessment, physician-patient relationships, and public health policy.
  
  
  RESULTS
  Three dimensions can effectively classify the potential value created by diagnostic tests: 1) medical value (impact on treatment decisions); 2) planning value (affect on patients' ability to make better life decisions); and 3) psychic value (how test information affects patients' sense of self). This comprehensive framework for valuing diagnostics suggests that existing health technology assessments may systematically under- or overvalue diagnostics, leading to potentially incorrect conclusions about cost-effectiveness. Further, failure to account for all value dimensions may lead to distorted payments under a value-based health-care system.
  
  
  CONCLUSIONS
  The potential value created by medical diagnostics incorporates medical value as well as value associated with well-being and planning. Consideration of all three dimensions has important implications for technology assessment and value-based payment.
authors.affiliation: GE Healthcare-Health Economics and Outcomes Research, Waukesha, WI 53188-1696, USA. david.w.lee@ge.com
authors.forename: David W
authors.initials: DW
authors.lastname: Lee
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Neumann
authors.forename: John A
authors.initials: JA
authors.lastname: Rizzo
mesh_terms: D003362:Cost-Benefit Analysis; D003657:Decision Making; D019937:Diagnostic Techniques and Procedures / Q000191:economics* / Q000523:psychology*; D006801:Humans; D019458:Insurance Coverage; D007348:Insurance, Health; D017060:Patient Satisfaction; D010817:Physician-Patient Relations; D011787:Quality of Health Care; D013673:Technology Assessment, Biomedical