Count of unique study subjects

Introduction

The purpose of the data table described below is to provide an up-to-date and end-to-end view on the operational dataflow of their project. The obtained metrics on the number of study records and unique study subjects consolidated on a daily base in the HD4RES2 application aims to fulfill this requirement.

Data table: V_HDM_REC_SUBJ_CNT

The researchers have access to a view on the number of study records and unique study subject related to their project. Those figures are available in the data table V_HDM_REC_SUBJ_CNT in HD4RES2 application.

In SAS Enterprise Guide, the data table is accessible via the ‘Servers’ window, located at the bottom left.

First open the following path Servers >> SASAppRES >> Libraries >> HD4RES2

Then, open the following table "V_HDM_REC_SUBJ_CNT"

This data table contains the following fields:

Reference table: V_HDM_MAP_TBL_PROJ

As business projects/data collections often led to the creation of several data tables the figures are resulting from the consolidation of the most representative business project data tables. Consequently those data tables must be treated with respect to their own functional and structural properties.

To this end, researchers may consult an additional data table V_HDM_MAP_TBL_PROJ related to their project on the HD4RES2 application which describes the content and rules applied on each data table by business project.

In SAS Enterprise Guide, the data table is accessible via the ‘Servers’ window, located at the bottom left.

First open the following path Servers >> SASAppRES >> Libraries >> HD4RES2

Then, open the following table "V_HDM_MAP_TBL_PROJ"

Calculation of the study records:

One study record is defined as one record in a data table.

Therefore the delivered figures corresponds to the sum of number of records of each data tables as used as defined in the reference table V_HDM_MAP_TBL_PROJ. One must understand that the figures have no other purpose than to provide a synthetic technical count on the number of records available by provided dimensions.
The figures have by no means any scientific value and shouldn't be used in any context other then the metrics project.

Calculation example code:
A hypothetical Business project (HDBP000n) is made of three data tables, two stored in the STG layer and one in the CDW layer. The total study records are calculated as follow on the latest available data :

select 'HDBP000n' as HDBP_code,HD_ARCH_component,HCO_NIHDI_code,
sum(total_table_records) as total_study_records
from (
select 'STG' as HD_ARCH_component, assigned-rules as HCO_NIHDI_code,
count(*) as total_table_records
from STG.datatable1
group by HD_ARCH_component,HCO_NIHDI_code
union all
select 'STG' as HD_ARCH_component, assigned-rules HCO_NIHDI_code,
count(*) as total_table_records
from STG.datatable2
group by HD_ARCH_component,HCO_NIHDI_code
union all
select 'CDW' as HD_ARCH_component, assigned-rules as HCO_NIHDI_code,
count(*) as total_table_records
from CDW.datatable3
group by HD_ARCH_component,HCO_NIHDI_code
) as hdbp
group by HDBP_Code,HD_Arch_component,HCO_NIHDI_code

Calculation of the unique study subjects:

One study subject is defined as the entity for which data has been collected. Depending the data collection most of the time a study subject represent the patient.

Therefore the delivered figures corresponds to the sum of all uniquely identified subjects over the complete set of data tables by provided dimensions. One must understand that the figures have no other purpose than to provide a synthetic technical count on the number of subjects available at the level - and only at the level - of the provided dimensions. All summarization over less dimensions combination are erroneous and Healthdata.be neither DWH-team can be held responsible for any misuse of the obtained figures.
The figures have by no means any scientific value and shouldn't be used in any context other then the metrics project.

Calculation example code:
A hypothetical business project is made of three data tables, two in STG and one in CDW. In all three tables the patient field has been identified as IDC_PAT. The total unique study subject are calculated as follow on the latest available data :

select 'HDBP000n' as HDBP_code,HD_ARCH_component,HCO_NIHDI_code,
count(distinct study_subject) as total_unq_subject
from (
select distinct 'STG' as HD_ARCH_component, assigned-rules as HCO_NIHDI_code,
IDC_PAT as study_subject
from STG.datatable1
union
select distinct 'STG' as HD_ARCH_component, assigned-rules HCO_NIHDI_code,
IDC_PAT as study_subject
from STG.datatable2
union
select distinct 'CDW' as HD_ARCH_component, assigned-rules as HCO_NIHDI_code,
IDC_PAT as study_subject
from CDW.datatable3
) as hdbp
group by HDBP_Code,HD_Arch_component,HCO_NIHDI_code