Validity (statistics) - Diagnostic Validity

Diagnostic Validity

In clinical fields such as medicine, the validity of a diagnosis, and associated diagnostic tests or screening tests, may be assessed.

In regard to tests, the validity issues may be examined in the same way as for psychometric tests as outlined above, but there are often particular applications and priorities. In laboratory work, the medical validity of a scientific finding has been defined as the 'degree of achieving the objective' - namely of answering the question which the physician asks. An important requirement in clinical diagnosis and testing is sensitivity and specificity - a test needs to be sensitive enough to detect the relevant problem if it is present (and therefore avoid too many false negative results), but specific enough not to respond to other things (and therefore avoid too many false positive results).

In psychiatry there is a particular issue with assessing the validity of the diagnostic categories themselves. In this context:

  • content validity may refer to symptoms and diagnostic criteria;
  • concurrent validity may be defined by various correlates or markers, and perhaps also treatment response;
  • predictive validity may refer mainly to diagnostic stability over time;
  • discriminant validity may involve delimitation from other disorders.

Robins and Guze proposed in 1970 what were to become influential formal criteria for establishing the validity of psychiatric diagnoses. They listed five criteria:

  • distinct clinical description (including symptom profiles, demographic characteristics, and typical precipitants)
  • laboratory studies (including psychological tests, radiology and postmortem findings)
  • delimitation from other disorders (by means of exclusion criteria)
  • follow-up studies showing a characteristic course (including evidence of diagnostic stability)
  • family studies showing familial clustering

These were incorporated into the Feighner Criteria and Research Diagnostic Criteria that have since formed the basis of the DSM and ICD classification systems.

Kendler in 1980 distinguished between:

  • antecedent validators (familial aggregation, premorbid personality, and precipitating factors)
  • concurrent validators (including psychological tests)
  • predictive validators (diagnostic consistency over time, rates of relapse and recovery, and response to treatment)

Nancy Andreasen (1995) listed several additional validators — molecular genetics and molecular biology, neurochemistry, neuroanatomy, neurophysiology, and cognitive neuroscience - that are all potentially capable of linking symptoms and diagnoses to their neural substrates.

Kendell and Jablinsky (2003) emphasized the importance of distinguishing between validity and utility, and argued that diagnostic categories defined by their syndromes should be regarded as valid only if they have been shown to be discrete entities with natural boundaries that separate them from other disorders.

Kendler (2006) emphasized that to be useful, a validating criterion must be sensitive enough to validate most syndromes that are true disorders, while also being specific enough to invalidate most syndromes that are not true disorders. On this basis, he argues that a Robins and Guze criterion of "runs in the family" is inadequately specific because most human psychological and physical traits would qualify - for example, an arbitrary syndrome comprising a mixture of "height over 6 ft, red hair, and a large nose" will be found to "run in families" and be "hereditary", but this should not be considered evidence that it is a disorder. Kendler has further suggested that "essentialist" gene models of psychiatric disorders, and the hope that we will be able to validate categorical psychiatric diagnoses by "carving nature at its joints" solely as a result of gene discovery, are implausible.

In the United States Federal Court System validity and reliability of evidence is evaluated using the Daubert Standard: see Daubert v. Merrell Dow Pharmaceuticals. Perri and Lichtenwald (2010) provide a starting point for a discussion about a wide range of reliability and validity topics in their analysis of a wrongful murder conviction.

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