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Four were particularly noteworthy: CHQC, CCF, Health Partners, and Health Pages.
We used CHQC medical record abstract data, including hospital identification number, diagnoses, procedures performed, results of examinations and diagnostic tests, admission and discharge dates, discharge destination, and either probability of death or expected length of stay (used as proxies for severity of illness of patients with medical or surgical stays, respectively).
We linked data on hospital stays in the CHQC and Medicaid files.
A large proportion of the patients had more than one CHQC stay during the study period.
We created an "Other Medical Conditions Index" by counting the remaining diagnoses noted on the CHQC d ata collection form and used that number in the model.
We were able to link 84.5 percent (12,510) of the CHQC stays to stays in the Medicaid claims file.
To identify patients who were referred to PAHC but did not receive it, specially abstracted medical record data similar to the CHQC data would not be needed, since patients could be identified through routinely collected Medicaid claims data.
CHQC data were abstracted on standard forms by trained medical record technicians at each hospital.
Neither the CHQC nor ODH database included unique patient identifiers.
We developed separate risk-adjustment models from the CHQC medical record and ODH birth certificate data.
Based on information in the CHQC medical record database, 75.5 percent of patients were Caucasian and 19.2 percent were African American; in 5.3 percent of patients, race was classified as other or unknown.
Although explicit protocols were developed to ensure the reliability of the CHQC medical records abstraction process, the records themselves may be subject to inclusion of errant information or exclusion of important findings.
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