DQResult

Clinical Events and Specialty Agreements Study Results II: PAQS Query 3


Created

2025-05-30

Files

2 Downloads↓
cnc_sp_ss_anom_cs.csv (4.83 MB)
↓
cnc_sp_specialty_groups.csv (27.16 KB)
↓

Last Modified

Findings


Tags



Domain

Publisher

PEDSnet

Abstract

The results of a Clinical Events and Specialty Agreement check using the Single Site, Anomaly Detection, Cross-Sectional parameters. This check investigates anomalous specialty utilization for visits where different clusters of Type II Diabetes diagnoses were recorded.

Affiliation(s)

PEDSnet Data Coordinating Center

Funder(s)

Provenance

This data quality check was run on a data extracted from the PAQS Query 3 Project. These results were not used for the query, but rather run on the query data after analysis was conducted as part of an SSQDA demonstration project.

Description

NOTE This is a single site analysis, but results for all sites are included in the output attached to this record for ease of review & reuse. General observations are recorded below, and details about specific institutions can be discovered in the raw output.

  • For many sites, Family Medicine, Internal Medicine, and Other were often the most commonly utilized specialties in this cohort, which could indicate a lack of specialty granularity or that patients more often see generalists rather than specialists to manage their care. In sites with more granular mappings, Endocrinology and Podiatry were commonly utilized.
  • Specialty utilization is often anomalous in the pregnancy diagnosis cluster, as this subgroup of patients often has different patterns of care compared to a more general population. This was often reflected with an anomalously high level of OBGYN specialties but anomalously low specialty utilization in other categories.
  • The opthalmic diagnosis cluster was often frequently associated with an anomalously high proportion of visits with an Opthalmology specialist.
  • The Musculoskeletal/Dermatologic cluster was occasionally associated with an anomalously high proportion of visits with a surgical specialist, likely due to the need for surgical intervention to remove ulcers or other lesions.

Response to Findings

Study team did not conduct further investigation or data intervention in response to these results because this was a demonstration project.

Clinical Subjects Headings

Development Code

Vocabulary

Related Data Quality Results

Clinical Events and Specialty Agreements Study Results I: PAQS Query 3
Created:2025-05-30
The results of a Clinical Events and Specialty Agreement check using the Multi-Site, Exploratory, Cross-Sectional parameters. This check investigates the distribution of specialty utilization for visits where Type II Diabetes was diagnosed.

Data Source

Institutions

Related Data Quality Check

Clinical Events and Specialty Agreement: Single Site, Anomaly Detection, Cross-Sectional Analysis
Created:2024-06-05Check Category:Concordance
This check computes types of clinical events that occur across clinician or facility specialties at a moment in time. It provides a high level summary of 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.

Related Study

Related Publications

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 Result

Wieand, K. (2025, May). Clinical Events and Specialty Agreements Study Results II: PAQS Query 3. [D Q Result]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-671