Date Plausibility


Created

Last Modified

Click on the thumbnail above to preview images.

Domain

Category

Parameters

Publisher

PEDSnet

Abstract

A network data quality check that compute the proportion of facts that have an implausible date value. Implausibility in this case is defined as events that fall before the visit start date, after the visit end date, before the patient’s birth date, or after the patient’s death date (optionally with an added buffer window - PEDSnet defaults to death date + 30 days).

Results of this check for the current data cycle can be explored on the PEDSnet Data Quality Dashboard.

Probe

Clinical Assessment

Access Package

Visualization Output

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

These results are visualized as a bar graph with one facet per implausible date type, proportion of implausible rows for that fact type along the X axis, and site along the Y axis.

Raw Output

This check produces a raw data output containing 9 columns:

Column Data Type Definition
site character the name of the site being targeted
total_rows numeric the total number of rows associated with the fact type
implausible_type character the type of implausible date evaluation being executed
implausible_row numeric the number of rows where the fact’s date is implausible
prop_implausible numeric the proportion of rows where the fact’s date is implausible
check_name character a short string identifier for the check
check_description character a longer description of 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. (2025, October). Date Plausibility. [D Q Check]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-560