Expected Variables Present: Single Site, Exploratory, Cross-Sectional Analysis


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Domain

Category

Parameters

Publisher

PEDSnet

Abstract

This check provides analyses for a single site. It generates a screenshot proportion of patients who have a given variable to evaluate whether expected concepts are present in a dataset of interest.

Probe

Clinical Assessment

Access Package

# install.packages("devtools") devtools::install_github('ssdqa/https://github.com/ssdqa/conceptsetdistribution')

Visualization Output

This check outputs a bar graph that summarizes the proportion of patients that meet the criteria (have at least one occurrence of a concept_id in the related codeset) for user selected variables. The user can select up to twenty variables.

Raw Output

The raw data output of this check produces eight columns of data:

Column Data Type Definition
site character the name of the site being targeted OR “combined” if multiple sites were provided
total_pt_ct numeric the total number of patients from the cohort in the domain table
total_row_ct numeric the total number of rows associated with patients from the cohort in the domain table
variable_pt_ct numeric the number of patients with evidence of the variable
variable_row_ct numeric the number of rows with evidence of the variable
prop_pt_variable numeric the proportion of patients with evidence of the variable
prop_row_variable numeric the proportion of rows with evidence of the variable
variable character the name of the variable

Funder(s)

This research was made possible through the generous support of Patient-Centered Outcomes Research Institute. The statements presented in this work are solely the responsibility of the author(s) and do not necessarily represent the views of PCORI, its Board of Governors, or its Methodology Committee.

Provenance

Description

Clinical Subjects Headings

Related Data Quality Result

Expected Variables Present Study Results I: PRESERVE
Created:2025-04-08Affiliation:PEDSnet Data Coordinating Center
The results of an Expected Variables Present check using the Single Site, Exploratory, Cross-Sectional parameters. This check assesses the proportion of patients with several study variables, like ABPM and census tract information.

Related Person

Related Code

Study-Specific Quality, Utility, and Breadth Assessment
Created:2025-11Affiliation:PEDSnet Data Coordinating Center
This suite of R packages allows one to investigate multiple facets of data quality and customize analyses based on your study-specific needs. Each module allows up to 8 different analyses in either the OMOP or PCORnet CDM, all aimed at taking a different view of the data while still addressing the same data quality probe.

##### [View pkgdown summary here.](https://ssdqa.github.io/squba/)

Related Data Quality Check

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Creative Commons license

Except where otherwised noted, this item's license is described as a CC-BY Attribution 4.0 License.

Cite this Data Quality Check

PEDSnet Data Coordinating Center. (2024, June). Expected Variables Present: Single Site, Exploratory, Cross-Sectional Analysis. [D Q Check]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-464