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For each patient background data (age, sex, date, type of medical facility and ICD-10 main diagnosis code) were recorded.
However, for calculating medical costs and number of visits, the disease code of the first group (main diagnosis code) was used as the cause of disease.
Including G45 as a main diagnosis code, increased this to 15 201, and including all four codes in secondary diagnoses fields increased this to 16 823.
In addition the inclusion of G45 as a main diagnosis code and including all four codes in secondary diagnoses fields in this study will have contributed.
12,552 records were found in both SSCA and SMR01 when matching on both date of admission and a main diagnosis code of I61, I63, and I64.
The dependent variable in this study was hospital admission due to type 2 diabetes mellitus, defined by the usage of inpatient medical services for more than 1 day and a main diagnosis code of E11.
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ACSC are identified from the main diagnosis coding of inpatient stays.
The main diagnosis coding systems that were validated included ICD-9 or ICD-9 CM (28 studies, 75.7%) and ICD-10 or ICD-10-CA (8 studies, 21.6%).
Usage data needed for the CRG grouper were: number of contacts in primary health care, number of hospital admissions, and days in hospital per admission (main diagnosis, coded according to ICD-9-CM).
Although easily identified from the main diagnosis coding of inpatient stays, ACSC lists have varied substantially from one study to the next, without a rigorous argument to justify the inclusion and exclusion criteria [ 4].
The primary diagnosis code registered is the main reason for the hospital contact.
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