Sensitivity to Selection Criteria: Multi Site, Exploratory, Cross-Sectional Analysis


Created

2024-12-17

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Domain

Category

Parameters

Publisher

PEDSnet

Abstract

The Sensitivity to Selection Criteria module measures how different cohort inclusion definitions can impact the makeup of a cohort, including demographics, utilization, and outcomes. Each check will compare a user-provided base cohort definition to each provided alternate cohort definition to evaluate how the new definitions impact each measured characteristic.

Data Requirements

base_cohort , alt_cohorts , multi_or_single_site , anomaly_or_exploratory , person_tbl , visit_tbl , provider_tbl , care_site_tbl , demographic_mappings , specialty_mappings , specialty_concepts , outcome_concepts , domain_tbl , domain_select

Probe

Clinical Assessment

Access Package

# install.packages("devtools") devtools::install_github('ssdqa/sensitivityselectioncriteria')

Visualization Output

This check outputs two line plots: one including continuous variables (where median facts per person year is computed) and another including categorical variables (where proportion of patients meeting criteria is computed). Users can choose up to 2 alternate cohort definitions to display on the plot and compare against the base cohort values. When 1 alternate cohort is supplied, the base cohort will appear on the left. When 2 are supplied, the base cohort is placed in the middle. Each line represents the values associated with a particular site, and the shapes of the dots align with the different cohort definitions (also seen along the x-axis).

Raw Output

This check produces a two raw data output tables, the first containing 5 columns of data, and the second containing 3 columns of data:

Column Data Type Definition
cohort_id character the name of the cohort (alt_cohort_*)
site character the name of the site being targeted
cohort_characteristic character the name of the cohort characteristic
smd_vs_baseline numeric the standardized mean difference between the value from the alternate cohort in cohort_id and the base cohort value
fact_group character a summary label for a group of cohort characteristics

Column Data Type Definition
site character the name of the site being targeted
cohort_group character a string indicating the combination of cohort definitions reflected in group_ct
group_ct numeric the number of patients that belong to every cohort definition found in cohort_group

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/sensitivityselectioncriteria

Clinical Subjects Headings

Related Data Quality Result

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Sensitivity to Selection Criteria Study Results Part IV: SSDQA Comparison
Created:2026-01-30Affiliation:PEDSnet Data Coordinating Center
The results of a Sensitivity to Selection Criteria check using the Multi-Site, Exploratory, Cross-Sectional parameters. This check evaluates the difference in demographics, utilization, and key covariate population between the attrition cohort from Part III and the updated attrition criteria in Part IV.
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Sensitivity to Selection Criteria Study Results: PRESERVE
Created:2025-04-08Affiliation:PEDSnet Data Coordinating Center
The results of a Sensitivity to Selection Criteria check using the Multi-Site, Exploratory, Cross-Sectional parameters. This check compares the original PRESERVE attrition cohort to an alternate cohort that requires patients to have >= 5 eGFR measurements >= 180 days apart.

Related Person

Related Code

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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, December). Sensitivity to Selection Criteria: Multi Site, Exploratory, Cross-Sectional Analysis. [D Q Check]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-434