The official NMCUES condition number appears in parentheses following the condition description.
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.
The results of the analyses in which NMCUES person weights were used did not differ from those reported in Table 3.
Given this minimum level of access, access to and type of outpatient care used, as measured in NMCUES, do not independently influence readmission risk.
Second, although we used the most recent NMCUES data available at the time of the study, these data are approximately 8 years old.
One problem is that the NMCUES data contained only two-digit procedures codes, making it difficult to ascertain whether some coded procedures were truly surgical operations or merely represented diagnostic procedure.