Unknown

Dataset Information

0

Testing and extending strategies for identifying genetic disease-related encounters in pediatric patients.


ABSTRACT:

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.

SUBMITTER: Spees LP 

PROVIDER: S-EPMC8995346 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Testing and extending strategies for identifying genetic disease-related encounters in pediatric patients.

Spees Lisa P LP   Hicklin Karen K   Adams Michael C MC   Farnan Laura L   Bensen Jeannette T JT   Gilleskie Donna B DB   Berg Jonathan S JS   Powell Bradford C BC   Lich Kristen Hassmiller KH  

Genetics in medicine : official journal of the American College of Medical Genetics 20220113 4


<h4>Purpose</h4>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  ...[more]

Similar Datasets

| S-EPMC2978957 | biostudies-literature
| S-EPMC8670740 | biostudies-literature
2019-08-17 | GSE135905 | GEO
| S-EPMC11570617 | biostudies-literature
| S-EPMC11920837 | biostudies-literature
| S-EPMC8428628 | biostudies-literature
| S-EPMC7751587 | biostudies-literature
| S-EPMC11588853 | biostudies-literature
| S-EPMC6693740 | biostudies-literature
| S-EPMC9159873 | biostudies-literature