Use the following data to construct a “figure 1” flow-chart for this observational study that uses data linkage of datasets to derive the study population. Aim to make the linkage process easier to understand than through reading the text alone. Upload your figure as a word doc or pdf.
The Imaginary linkage study (ILS) consists of two cohorts. The first an ESKD cohort and the second a CKD cohort. People who are under the age of 18 at ESKD or at the time of their first admission with a code for CKD will be excluded as well as those that do not normally reside in NSW (based on post-codes at the commencement of RRT or at the first admission with a code for CKD).
The ESKD cohort will be identified using the Australia and New Zealand Dialysis and Transplant Registry (ANZDATA), which maintains records of all patients receiving dialysis or transplantation in Australia and New Zealand. All patients residing in NSW at initiation of dialysis or transplantation between 1/7/2000 and 31/07/2010 will be included in the ESKD cohort.
The CKD cohort will be identified from within NSW Admitted Patient Data Collection (NSW APDC) by the Centre for Health Record Linkage (CHeReL) , and defined as any patient admitted to a NSW hospital between 1/07/2000 to 31/07/2010, with an admission using International Classification of Diseases 10 – Australian Modification (ICD-10AM) primary or secondary diagnostic codes for chronic renal failure. Patients with ESKD who are in receipt of dialysis or transplantation will also be identified within this cohort but will be analysed as part of the ESKD cohort.
Both cohorts will then be linked to the NSW APDC, the NSW Registry of Births, Deaths and Marriages (NSW RBDM), and the NSW Central Cancer Registry (NSW CCR). The NSW APDC records all admissions to all NSW health care facilities, the NSW RBDM records all births, deaths and marriages within NSW and the NSW CCR records all new cancers in NSW residents. These links will be made going backwards to 1/1/1995 and forward to 31/07/2010. Once linked, de-identified cohort data will be provided to investigators separately for each cohort, with details of hospitalization, deaths, cancer diagnoses, procedures and
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