Patient-Facts: Single Site, Exploratory, Longitudinal Analysis


Created

2024-06-05

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Domain

Category

Parameters

Publisher

PEDSnet

Abstract

This check assesses how much clinical data is available for patients accross time. It provides a high level summary of clinical data for a single site. The number of clinical events per year of follow-up for each patient in a cohort is computed and stratified by visit type.

Data Requirements

cohort , study_name , patient_level_tbl , visit_types , omop_or_pcornet , multi_or_single_site , time , time_span , time_period , p_value , age_groups , anomaly_or_exploratory , domain_tbl , visit_type_table

Probe

Clinical Assessment

Access Package

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

Visualization Output

This check outputs faceted line and dot plots. It shows the median fact count for each domain and how it changes across the user-provided time period. Median fact count is shown on the y-axis, and time (in years) is shown by the x-axis. Each line represents a domain. Hovering over the graph provides additional information about each data point including time_start, domain, and median_fact_ct (the median number of facts for each domain during the specified time period). The user determines the facets used such as site, age category, etc.

Raw Output

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

Column Data Type Definition
visit_type character string indicating the visit type
site character the name of the site being targeted OR “combined” if multiple sites were provided
time_start date the start of the time period being examined
time_increment character the length of each time period
domain character string indicating the domain
pts_w_fact numeric the number of patients who have a fact within the time period
sum_fact_ct numeric the total number of facts per patient within the time period
median_fact_ct numeric the median number of facts per patient within the time period
pt_ct_denom numeric the total number of eligible patients from the cohort within the time period
pts_w_visit numeric the number of patients with a visit of the type of interest within the time period

Affiliation(s)

PEDSnet Data Coordinating Center

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

Development Code

https://github.com/ssdqa/patientfacts

Clinical Subjects Headings

Related Data Quality Result

Related Person

Related Code

Thumbnail Image
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/)

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Creative Commons license

a CC-BY Attribution 4.0 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). Patient-Facts: Single Site, Exploratory, Longitudinal Analysis. [D Q Check]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-420