Linking disease registries and nationwide healthcare administrative databases: the French renal epidemiology and information network (REIN) insight

Table 1 Algorithm steps

Step	Required match between the REIN and SNDS datasets
Step	Exact	Partial
1	Age, sex, postcode, center ID^a, death^b, DT^c
2	Age, sex, postcode, center ID, death	DT (− 1 month)
3	Age, sex, postcode, death, DT	center ID (department)
4	Age, sex, postcode, death	center ID (department) DT (−1 month)
5	Age, sex, center ID, death, DT	postcode (department)
6	Age, sex, center ID, death	postcode (department) DT (−1 month)
7	Age, sex, death, DT	center ID (department) postcode (department)
8	Age, sex, death	center ID (department) postcode (department) DT (− 1 month)
9–12	Repetition of steps 2, 4, 6, 8	DT (−2 months)
13	Age, sex, center ID, death, DT
14	Age, sex, center ID, death	DT (−1 month)
15	Age, sex, death, DT	center ID (department)
16	Age, sex, death, DT	DT (−1 month) center ID (department)
17–24	Repetition of steps 1–8	age (−1 year)

^aCenter ID = Geographical localization number, and then legal entity affiliation number
^bDeath = 3 scenarios: death in both datasets, no death in both datasets, and death recorded only in the REIN dataset
^cDT = Date of treatment (month/year), renal transplantation during the first phase procedure, dialysis during the second procedure phase

ISSN: 1471-2369