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The impact of the redesign of the NHIS has some general implications for disease surveillance. First, disease prevalence estimates are a product of the case definition. For the example of asthma, there are various case definitions based on the source of data--administrative records, self-report, or clinical/laboratory data. (See the 1998 Position Statement by the Council of State and Territorial Epidemiologists (CSTE) at http://www.cste.org/ps/1998/1998-eh-cd-01.htm). For each type of data, case definitions are classified by decreasing certainty as "confirmed," "probable" and "possible." Note that there is no confirmed case definition for asthma using self-reported data, because self report can be affected by numerous factors including the knowledge of the reporting individual, the accuracy of recall, clarity of the question, etc. The questions on the redesigned NHIS better reflect the CSTE "probable" case definition for self-reported asthma than the pre-1997 question.

Of course, there also can be major changes in a survey instrument that lie behind fluctuation in trends. Most of the national data systems that collect health information undergo periodic revision, such as changes in birth and death certificates, updates in sampling design, incorporation of information about new health technologies, and question changes. Question changes can reflect updates in case definitions, or an effort to improve data collection independent of a change in definition. It is important to become knowledgable about the underlying data collection methods, any major changes to these methods, and the possible impact of these changes when analyzing any data system.