Development of a novel workflow method to characterize and validate clinical data quality acquired through the Veterinary Committee on Trauma registry-Reference-Cited by-同舟云学术

Development of a novel workflow method to characterize and validate clinical data quality acquired through the Veterinary Committee on Trauma registry

Published:2023-08-07 Issue: Volume: Page:1-7
ISSN:0002-9645
Container-title:American Journal of Veterinary Research
language:
Short-container-title:ajvr

Author:

Cabral Troy A.¹,Davidson Owen²,Rudd James²³,Eliasen Carson⁴⁵,Strecker G. Joseph⁶,Hall Kelly¹,Rao Sangeeta¹

Affiliation:

1. Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO

2. Department of Computer Science, Colorado State University, Fort Collins, CO

3. Department of Mathematics, Colorado State University, Fort Collins, CO

4. Program in Data Science, Colorado State University, Fort Collins, CO

5. Department of Psychology, Colorado State University, Fort Collins, CO

6. Research IT, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO

Abstract

Abstract OBJECTIVE To generate and apply a novel workflow method to assess the quality of data from the Veterinary Committee on Trauma (VetCOT) registry. ANIMALS Canine and feline trauma patient data entered by identified and verified Veterinary Trauma Centers into the VetCOT registry between April 2017–December 2018 were retrieved for analysis. METHODS Analysis software (RVetQual) was created in the R programming language to compare 5,000 cases exported from the VetCOT registry with samples of original corresponding records from 6 veterinary trauma centers. In addition, an evaluation of the consistency and completeness of the trauma registry was conducted. RESULTS The utilization of this analysis tool allowed an assessment of the VetCOT trauma registry. Some of the variables effecting the accuracy, consistency, and completeness of the VetCOT trauma registry were canine and feline age, weight, trauma time entered, and mismatches in blood glucose. However, the completeness of the database was minimally affected. CLINICAL RELEVANCE RVetQual is an efficient, accessible, and adjustable tool that facilitates the assessment of the data quality of the VetCOT registry. Such an assessment can lead to improvement of the quality of information serving to guide further trauma patient care.

Publisher

American Veterinary Medical Association (AVMA)

Subject

General Veterinary,General Medicine

Reference29 articles.

1. Trauma registry data validation: essential for quality trauma care;Hlaing T,2006

2. Heterogeneity in trauma registry data quality: implications for regional and national performance improvement in trauma;Dente CJ,2016

3. Classifying, measuring and improving the quality of data in trauma registries: a review of the literature;O’Reilly GM,2016

4. Evidence of data quality in trauma registries;Porgo TV,2016

5. The value of trauma registries;Moore L,2008