growthcleanr is a useful tool for cleaning height, weight, and head circumference data collected in electronic health records or other electronic health information. It runs an algorithm that processes data for people ages 0-65 years, identifies erroneous measurements, and yields ready-to-use datasets that can be used for subsequent analyses, public health surveillance, or other activities.
Who Can Use growthcleanr?
Researchers in various settings such as academic institutions, government agencies, and non-profits.
Organizations conducting data‑driven health initiatives, quality improvement, or multi‑site research, requiring standardized growth data.
Implementers including technical staff, data engineers, and informatics teams working with clinical systems or analytics workflows.
Get Started with growthcleanr
ASPE released a package of growthcleanr materials, developed by NORC, PennState, and HHS ASPE and CDC. These include the:
- Version 3 of the growthcleanr Software package, updated with multiple new features including improved performance for children 0 to 2 years of age and a new user interface
- growthcleanr Factsheet
- Researcher Guide: An Overview of growthcleanr Output
- growthcleanr How to Guide for the Shiny App
- growthcleanr How to Guide for the R Interface
Details can be found on the growthcleanr GitHub page and viewed on CRAN.
Growthcleanr version 3 can now be used for the youngest age groups, has been optimized across age groups, and is less burdensome, more usable, and accessible to more researchers. It serves as a quality foundation for growth research.
We acknowledge those who have contributed to growthcleanr. The authors are solely responsible for the content which does not necessarily represent the views of HHS, PennState, CHOP, or NORC.
*This content is in the process of Section 508 review. If you need immediate assistance accessing this content, please submit a request to Jennifer Wiltz, Jennifer.Wiltz@hhs.gov. Content will be updated pending the outcome of the Section 508 review.