Patient-Facts: Single Site, Exploratory, Cross-Sectional Analysis

Last Modified

Click on the thumbnail above to preview images.

Tags











Publisher

PEDSnet

Abstract

This check assesses how much clinical data is available for patients. It provides a screen shot of clinical data for a single site.


How to Access This Check

  1. You may access the module’s R package in GitHub.
    Or, run in R
install_github('ssdqa/https://github.com/ssdqa/patientfacts')
  1. Using the provided vignettes on GitHub or help in R, follow parameter input instructions for “Single Site”, “Exploratory Analysis”, “Cross-Sectional Analysis” requirements.

Check Output

Visualization Output

This check outputs a faceted bar graph that summarizes the median number of facts per patient. The domain is shown along the y-axis with the median fact count along the x-axis. The user can customize the facets used such as visit_type, site, age category, etc.

Raw Output

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

Column Data Type Definition
study character a user provided string label for the study
site character the name of the site being targeted OR “combined” if multiple sites were provided
visit_type character string indicating the visit type
domain character string indicating the domain
median_all_with0s numeric overall median facts per year of follow up across the cohort, including patients that do not have evidence of the domain
median_all_without0s numeric overall median facts per year of follow up across the cohort, excluding patients that do not have evidence of the domain
n_tot numeric total number of patients in the cohort
n_w_fact numeric number of patients in the cohort with a fact in the domain of interest
median_site_with0s numeric site-specific median facts per year of follow up across the cohort, including patients that do not have evidence of the domain
median_site_without0s numeric site-specific median facts per year of follow up across the cohort, excluding patients that do not have evidence of the domain

Funder(s)

This research was made possible through the generous support of the Patient-Centered Outcomes Research Institute .

Provenance

Description

Clinical Subjects Headings

Related Data Quality Result

Related Person

relationships.isdDQCheckOf

Related Publications

Creative Commons license

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