Clinical Fact Documentation


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Domain

Category

Parameters

Publisher

PEDSnet

Abstract

A network data quality check which computes the proportion of visits with missing fact types. For example, one of the applications of this could be to check the proportion of inpatient visits without an associated condition. This check type can also compute combination of facts such as inpatient visits without an association condition OR medication administration.

Results of this check for the current data cycle can be explored on the PEDSnet Data Quality Dashboard. Data quality results for previous data cycles have been archived in the Person Facts/Records Network Results collection.

Probe

Clinical Assessment

Access Package

Visualization Output

NOTE: Visualizations are NOT part of the packaged code. This description applies to the visualizations available on the PEDSnet Data Quality Dashboard.

Two different plots are used to display the patient and visit level proportions. The patient level proportions are shown on a heatmap, with domain on the Y axis, site on the X axis, and proportion as the fill of the heatmap. The visit level proportions are displayed on a bar graph with the proportion along the X axis and domain on the Y axis (only results for one site can be viewed at a time). Both are facetted by visit type.

Raw Output

This check produces a raw data output containing 16 columns of data:

Column Data Type Definition
total_visits numeric the total number of visits of visit_type
total_pts numeric the total number of patients with a visit of visit_type
check_desc character the fact type being evaluated
no_fact_visits numeric the number of visits of visit_type without the fact type of interest
no_fact_pts numeric the number of patients with at least one visit of visit_type without the fact type of interest
no_fact_visits_prop numeric the proportion of visits of visit_type without the fact type of interest
no_fact_pts_prop numeric the proportion of patients with at least one visit of visit_type without the fact type of interest
site character the name of the site being targeted
database_version character the database version from which the counts originated
check_type character a short string identifier for the module
fact_visits numeric the number of visits of visit_type with the fact type of interest
fact_pts numeric the number of patients with at least one visit of visit_type with the fact type of interest
fact_visits_prop numeric the proportion of visits of visit_type with the fact type of interest
fact_pts_prop numeric the proportion of patients with at least one visit of visit_type with the fact type of interest
visit_type character a string representing the type of visit that is the focus of the analysis
check_name character a short string identifier for the check

Funder(s)

Provenance

Description

Clinical Subjects Headings

Related Data Quality Result

Related Person

Related Code

Network Data Quality
Created:2025-09Affiliation:PEDSnet Data Coordinating Center
The [Network Data Quality (NDQ)](https://pedsnet.github.io/ndq/) package contains several data quality modules intended to evaluate the overall condition of the data in a clinical research network. These modules, which cover a broad range of data quality domains from conformance to plausibility, are flexible and can be configured to execute checks specific to desired use cases in both the OMOP and PCORnet common data models (CDMs).

##### [View pkgdown summary here.](https://pedsnet.github.io/ndq/)

Related Data Quality Check

Related Publications

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

Wieand, K. & Dickinson, K. (2023, December). Clinical Fact Documentation. [D Q Check]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-484