TY - JOUR
T1 - Testing and extending strategies for identifying genetic disease–related encounters in pediatric patients
AU - Spees, Lisa P.
AU - Hicklin, Karen
AU - Adams, Michael C.
AU - Farnan, Laura
AU - Bensen, Jeannette T.
AU - Gilleskie, Donna B.
AU - Berg, Jonathan S.
AU - Powell, Bradford C.
AU - Lich, Kristen Hassmiller
N1 - Publisher Copyright:
© 2021 American College of Medical Genetics and Genomics
PY - 2022/4
Y1 - 2022/4
N2 - Purpose: To better understand health care utilization and develop decision support tools, methods for identifying patients with suspected genetic diseases (GDs) are needed. Previous studies had identified inpatient-relevant International Classification of Diseases (ICD) codes that were possibly, probably, or definitely indicative of GDs. We assessed whether these codes identified GD-related inpatient, outpatient, and emergency department encounters among pediatric patients with suspected GDs from a previous study (the North Carolina Clinical Genomic Evaluation by Next-Generation Exome Sequencing [NCGENES] study). Methods: Using the electronic medical records of 140 pediatric patients from the NCGENES study, we characterized the presence of ICD codes representing possible, probable, or definite GD-related diagnoses across encounter types. In addition, we examined codes from encounters for which initially no GD-related codes had been found and determined whether these codes were indicative of a GD. Results: Among NCGENES patients with visits between 2014 and 2017, 92% of inpatient, 75% of emergency department, and 63% of outpatient encounters included ≥1 GD-related code. Encounters with highly specific (ie, definite) GD codes had fewer low-specificity GD codes than encounters with only low-specificity GD codes. We identified an additional 32 ICD-9 and 56 ICD-10 codes possibly indicative of a GD. Conclusion: Code-based strategies can be refined to assess health care utilization among pediatric patients and may contribute to a systematic approach to identify patients with suspected GDs.
AB - Purpose: To better understand health care utilization and develop decision support tools, methods for identifying patients with suspected genetic diseases (GDs) are needed. Previous studies had identified inpatient-relevant International Classification of Diseases (ICD) codes that were possibly, probably, or definitely indicative of GDs. We assessed whether these codes identified GD-related inpatient, outpatient, and emergency department encounters among pediatric patients with suspected GDs from a previous study (the North Carolina Clinical Genomic Evaluation by Next-Generation Exome Sequencing [NCGENES] study). Methods: Using the electronic medical records of 140 pediatric patients from the NCGENES study, we characterized the presence of ICD codes representing possible, probable, or definite GD-related diagnoses across encounter types. In addition, we examined codes from encounters for which initially no GD-related codes had been found and determined whether these codes were indicative of a GD. Results: Among NCGENES patients with visits between 2014 and 2017, 92% of inpatient, 75% of emergency department, and 63% of outpatient encounters included ≥1 GD-related code. Encounters with highly specific (ie, definite) GD codes had fewer low-specificity GD codes than encounters with only low-specificity GD codes. We identified an additional 32 ICD-9 and 56 ICD-10 codes possibly indicative of a GD. Conclusion: Code-based strategies can be refined to assess health care utilization among pediatric patients and may contribute to a systematic approach to identify patients with suspected GDs.
KW - Burden of care
KW - Electronic medical records
KW - Genetic disease
KW - Health care utilization
KW - Pediatrics
UR - http://www.scopus.com/inward/record.url?scp=85123080600&partnerID=8YFLogxK
U2 - 10.1016/j.gim.2021.12.001
DO - 10.1016/j.gim.2021.12.001
M3 - Article
C2 - 35034852
AN - SCOPUS:85123080600
SN - 1098-3600
VL - 24
SP - 831
EP - 838
JO - Genetics in Medicine
JF - Genetics in Medicine
IS - 4
ER -