D3_TD_variable_NUMBER_CONDITIONS
medatata_name
metadata_content
Name of the dataset
D3_TD_variable_NUMBER_CONDITIONS
Content of the dataset
contains the time-dependent evolution of the ordinal variable NUMBER_CONDITIONS, which counts the number of comorbidities in a list of 9 associated with covid severity (see specifications in the Data Model tab). Only changes of status are recorded, with date of change.
Unit of observation
a person in the readiness study population
Dataset where the list of UoOs is fully listed and with 1 record per UoO
D4_study_population
How many observations per UoO
As many as the variation of the values of the variable from the moment the person enters to the moment the person exits the data source. Since the variable is expected to be non missing at any moment, the baseline value is recorded for all the units of observation
Variables capturing the UoO
person_id
Primary key
person_id date
Parameters
VarName
Description
Format
Vocabulary
Parameters
Notes and examples
Source tables and variables
Retrieved
Calculated
Algorithm_id
Rule
person_id
unique person identifier
character
from D4_study_population
yes
date
the first value of date for all the population is their own study entry date, when the value is the number of conditions observed during lookback, from that moment on the value is updated whenever a new condition occurs, and the value of the iccurrence of that condition is recorded as date
yes
the TD datasets of the 9 conditions are binded and ordered by date; the number of conditions at baseline is calculated; from that moment on, each 1 adds a + 1 and each 0 adds a -1
value_of_variable
ordinal
0,1, ..., 9
counts the number of active conditions in this list
C_CARDIOCEREBROVASCULARDESE_COV
Onc_ANYMALIGNANCYALGORITHM_COV
R_RESPCHRONICALGORITHM_COV
I_HIV_COV OR I_AIDS_CH
D_LIVERCHRONIC_COV OR G_KDCHRONIC_COV
E_DM12ALGORITHM_COV
L_OBESITYALGORITHM_COV
B_SICKLECELLALGORITHM_COV
DP_IMMUNOSUPPR
yes
parameter in the variable name
values
name of macro
P0001 enters the cohort at study start date with no comorbidity, and nothing changes. P00002 enters with 1 comorbidity and switched to 2 on 12 march 2021; P0003 enters with 0 coorbidities but switched to 1 on 3rd of May 2021 and to 2 on 21st of July 2021; P00004 enters the stuty later, on 5 September 2020, with 0 comorbidities, and so stays until study exit
...2
...3
person_id
date
value_of_variable
P00001
43831
0
P00002
43831
1
P00002
44267
2
P00003
43831
0
P00003
44319
1
P00003
44398
2
P00004
44079
0