DQCheck

Clinical Events and Specialty Agreement: Single Site, Exploratory, Cross-Sectional Analysis


Created

2024-06-05

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Access Code Repository

clinicalevents.specialties

Domain

Category

Parameters

Publisher

PEDSnet

This check computes types of clinical events that occur across clinician or facility specialties. It summarizes the quality of clinical specialty data in a study sample for a given site. The intention of the check is to evaluate the concordance of specific events (e.g., diagnosis of type I diabetes) and specialist providers or care sites (e.g., endocrinologist or endocrinology clinic) at the visit level.

Data Requirements

cohort , multi_or_single_site , age_groups , codeset_tbl , care_site , provider , visit_type_tbl , time , time_span , time_period , vocab_tbl

Probe

Clinical Assessment

Access Package

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

Visualization Output

This check outputs a bar graph which displays the proportion of total visits with each specialty. The graph can be stratified by user-selected visit type or cluster (up to five). Specialties are color-coded and can be isolated by clicking on the graph. A tool tip for each bar appears upon hover, and provides values for the specialty name, the number of visits, and the proportion.

Raw Output

The raw data output requires the user to annotate the specialty name output before running the output function.

Column Data Type Definition
specialty_name character user provided annotation
specialty_concept_id numeric / character the concept indicating the specialty of the provider and/or care site
specialty_concept_name character if a vocabulary table is provided, the name of the specialty associated with the specialty_concept_id

The resulting raw data output of this check produces eight columns of data:
Column Data Type Definition
specialty_concept_id` numeric / character the concept indicating the specialty of the provider and/or care site
cluster character the cluster assigned in the user provided codeset; if no cluster is indicated, the name of the concept is used
num_visits numeric the number of visits associated with the specialty_concept_id & cluster
codeset_name character the name of the codeset provided for the analysis
site character the name of the site being targeted OR “combined” if multiple sites were provided for a single site analysis
age_grp character if an age group dataframe is provided, a string indicating the age grouping at the time of the specialty visit
visit_type character if a visit type dataframe is provided, the visit type of the specialty visit

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

Clinical Subjects Headings

Related Data Quality Result

Clinical Events & Specialties Study Results I: PRESERVE
Created:2025-04-08
The results of a Clinical Events & Specialties check using the Single Site, Exploratory, Cross-Sectional parameters. This check evaluates, across the entire combined cohort, the distribution of specialty utilization in visits associated with serum creatinine labs or antihypertensive prescriptions.

Related Person

Related Code

Study-Specific Quality, Utility, and Breadth Assessment
Created:2025-11
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.