In the third stage, the NMCUES data are used to convert the predicted measures of utilization into dollar values.
For children, a simplified procedure is used employing only NMCUES data--dollar value of utilization as the dependent variable, and child characteristics and mother's characteristics as well as region as the independent variables.
The 57 conditions reported in NMCUES were classified into four expected readmission risk categories: low, moderate, high, and very high.
(1) Each hospitalization was attributed to 1 of 57 medical conditions coded in the National Medical Care Utilization and Expenditure Survey (NMCUES) based on the 4-digit International Classification of Diseases, 9th Revision, Clinical Modification code assigned to the diagnosis reported by the respondent as the first condition responsible for the stay.
Data pertaining to hypothesized health status and nonmedical risk factors were obtained from the NMCUES person file (National Center for Health Statistics, 1983).
Using the 2,946 unique records in the 1980 NMCUES hospital stay file (National Center for Health Statistics, 1983), a person-based analysis set was created by sorting all hospital stay records by the NMCUES identification number for the subject.
Hospitalizations were first sorted by NMCUES person identification number, and the differences between all discharge dates and subsequent readmission dates were computed.
To enable the development of national estimates using the NMCUES sample of respondents, the National Center for Health Statistics assigned a weight to each person in the data base.
Two potential sources of classification bias were recognized in the NMCUES data.
The inability to unequivocally identify interhospital transfers of patients represented a second source of potential classification errors in the NMCUES data.
The NMCUES data tapes contain information on 17,123 persons, representing a random sample of the 1980 U.S.
The results of the analyses in which NMCUES person weights were used did not differ from those reported in Table 3.