Lack of agreement in pediatric emergency department discharge diagnoses from clinical and administrative data sources
- PMID: 17554009
- DOI: 10.1197/j.aem.2007.03.1357
Lack of agreement in pediatric emergency department discharge diagnoses from clinical and administrative data sources
Abstract
Background: Diagnosis information from existing data sources is used commonly for epidemiologic, administrative, and research purposes. The quality of such data for emergency department (ED) visits is unknown.
Objectives: To determine the agreement on final diagnoses between two sources, electronic administrative sources and manually abstracted medical records, for pediatric ED visits, in a multicenter network.
Methods: This was a cross sectional study at 19 EDs nationwide. The authors obtained data from two sources at each ED during a three-month period in 2003: administrative sources for all visits and abstracted records for randomly selected visits during ten days over the study period. Records were matched using unique identifiers and probabilistic linkage. The authors recorded up to three diagnoses from each abstracted medical record and up to ten for the administrative data source. Diagnoses were grouped into 104 groups using a modification of the Clinical Classification System.
Results: A total of 8,860 abstracted records had at least one valid diagnosis code (with a total of 12,895 diagnoses) and were successfully matched to records in the administrative source. Overall, 67% (95% confidence interval = 66% to 68%) of diagnoses from the administrative and abstracted sources were within the same diagnosis group. Agreement varied by site, ranging from 54% to 77%. Agreement varied substantially by diagnosis group; there was no difference by method of linkage. Clustering clinically similar diagnosis groups improved agreement between administrative and abstracted data sources.
Conclusions: ED diagnoses retrieved from electronic administrative sources and manual chart review frequently disagree, even if similar diagnosis codes are grouped. Agreement varies by institution and by diagnosis. Further work is needed to improve the accuracy of diagnosis coding; development of a grouping system specific to pediatric emergency care may be beneficial.
Similar articles
-
Availability of pediatric emergency visit data from existing data sources.Acad Emerg Med. 2005 Dec;12(12):1195-200. doi: 10.1197/j.aem.2005.06.028. Epub 2005 Nov 10. Acad Emerg Med. 2005. PMID: 16282514
-
Accuracy of computerized outpatient diagnoses in a Veterans Affairs general medicine clinic.Am J Manag Care. 2002 Jan;8(1):37-43. Am J Manag Care. 2002. PMID: 11814171
-
Documentation and coding of ED patient encounters: an evaluation of the accuracy of an electronic medical record.Am J Emerg Med. 2006 Oct;24(6):664-78. doi: 10.1016/j.ajem.2006.02.005. Am J Emerg Med. 2006. PMID: 16984834
-
Administrative and claims records as sources of health care cost data.Med Care. 2009 Jul;47(7 Suppl 1):S51-5. doi: 10.1097/MLR.0b013e31819c95aa. Med Care. 2009. PMID: 19536019 Review.
-
Databases for assessing the outcomes of the treatment of patients with congenital and paediatric cardiac disease--the perspective of critical care.Cardiol Young. 2008 Dec;18 Suppl 2:130-6. doi: 10.1017/S1047951108002886. Cardiol Young. 2008. PMID: 19063783 Review.
Cited by
-
Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation records.BMJ Open. 2015 Aug 21;5(8):e008160. doi: 10.1136/bmjopen-2015-008160. BMJ Open. 2015. PMID: 26297364 Free PMC article.
-
Assessment of Temporal Patterns and Patient Factors Associated With Oseltamivir Administration in Children Hospitalized With Influenza, 2007-2020.JAMA Netw Open. 2022 Sep 1;5(9):e2233027. doi: 10.1001/jamanetworkopen.2022.33027. JAMA Netw Open. 2022. PMID: 36149655 Free PMC article.
-
The validity of the diagnostic code for hidradenitis suppurativa in an electronic database.Br J Dermatol. 2014 Aug;171(2):338-42. doi: 10.1111/bjd.13041. Epub 2014 Jul 26. Br J Dermatol. 2014. PMID: 24712395 Free PMC article.
-
Identifying long-term conditions in New Zealand general practice using structured and unstructured data: a cross-sectional study.BMJ Health Care Inform. 2025 May 22;32(1):e101393. doi: 10.1136/bmjhci-2024-101393. BMJ Health Care Inform. 2025. PMID: 40404335 Free PMC article.
-
Healthcare resource utilization and cost of pneumococcal disease in children in Germany, 2014-2019: a retrospective cohort study.Pneumonia (Nathan). 2023 Mar 25;15(1):7. doi: 10.1186/s41479-023-00105-9. Pneumonia (Nathan). 2023. PMID: 36964592 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources