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5 Cross-cutting Data Issues for Leading Health Indicators
Pages 63-68

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From page 63...
... The U.S. Department of Health and Human Services maintains the primary data sets that contribute to the DATA2000 Monitoring System.
From page 64...
... It is expected that these 12 data sets will play a lead role in providing ongoing monitoring of the proposed leading health indicators for the U.S. Department of Health and Human Services.
From page 65...
... It is premature to select data sources for the proposed leading indicators until decisions are made about the best way to resolve these issues and until the appropriate modifications to data sets are complete. GENERAL DATA ISSUES FOR PROPOSED LEADING HEALTH INDICATOR SETS Data QuaJity As new and existing data sources are considered for the leading health indicators for Healthy People 2010 a number of overriding issues will warrant careful consideration.
From page 66...
... It is likely that many of the proposed indicators will rely on data from sources that are well established and that have been evaluated for their scope of representation as well as validity and reliability. However, if specific questions in existing data collection efforts require modification or if new data collection efforts must be established to inform the selected leading health indicator set accurately, the representativeness of sampling frames along with the validity and reliability of new questions will have to be determined before application of the data to that indicator set.
From page 67...
... Current schedules for the collection, analysis and reporting of data for existing data sets may present a challenge to the achievement of regular updates on the status of the leading health indicators. For example, the provision of final vital records data may take up to 3 or 4 years following the year in which the data were actually collected.
From page 68...
... Department of Health and Human Services following selection of a set of leading health indicators for Heabhy People 2010. First, data sets that will be appropriate for the measurement of each of the indicators within the chosen set must be selected and evaluated on the basis of a number of dimensions including the quality of the data, limitations of selfreported data, data validity and reliability, periodicity and timeliness of data availability, the representativeness of the data, and the ability of the data to be used for small-area analyses.

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