Expected Variables Present: Multi-Site, Exploratory, Cross-Sectional Analysis
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PEDSnet
Abstract
This check provides analyses to examine multiple sites. It summarizes the proportion of patients who have a given variable to evaluate whether expected concepts are present in a dataset of interest.
Data Requirements
Probe
Clinical Assessment
Access Package
# install.packages("devtools")
devtools::install_github('ssdqa/https://github.com/ssdqa/conceptsetdistribution')Visualization Output
This check outputs a heatmap which displays the proportion of patients at each site that meet the criteria for a given variable & site combination. Here, warmer colors indicate a higher proportion of patients/rows related to that variable.
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 |
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 |
Affiliation(s)
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.
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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: Multi-Site, Exploratory, Cross-Sectional Analysis. [D Q Check]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-463