National Healthcare Quality and Disparities Report
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedChien AT, Kuhlthau KA, Toomey SL
Development of the children with disabilities algorithm.
The researchers developed the Children with Disabilities algorithm (CWDA), which uses International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes to identify CWD. They concluded that ICD-9-CM codes can be classified by their likelihood of indicating CWD. CWDA triangulates well with parent report and physician assessment of child disability status. CWDA is a new tool that can be used to assess care quality for CWD.
AHRQ-funded; HS020513.
Citation: Chien AT, Kuhlthau KA, Toomey SL .
Development of the children with disabilities algorithm.
Pediatrics 2015 Oct;136(4):e871-8. doi: 10.1542/peds.2015-0228..
Keywords: Children/Adolescents, Quality of Care, Data, Children/Adolescents
Neff JM, Clifton H, Popalisky J
Stratification of children by medical complexity.
The investigators stratified children using the software, Clinical Risk Groups (CRGs), in a tertiary children's hospital and a state's Medicaid claims data into 3 condition groups: complex chronic disease; noncomplex chronic disease, and nonchronic disease. They concluded that CRGs can be used to stratify children receiving care at a tertiary care hospital according to complexity in both hospital and Medicaid administrative data.
AHRQ-funded; HS020506.
Citation: Neff JM, Clifton H, Popalisky J .
Stratification of children by medical complexity.
Acad Pediatr 2015 Mar-Apr;15(2):191-6. doi: 10.1016/j.acap.2014.10.007.
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Keywords: Children/Adolescents, Chronic Conditions, Data, Electronic Health Records (EHRs), Children/Adolescents