A pitfall of using general equivalence mappings to estimate national trends of surgical utilization for pediatric patients

Updated Diagnosis Grouping System for Pediatric Emergency Department Visits

OBJECTIVES

This study aims to update the Diagnosis Grouping System (DGS) for International Classification of Disease, Tenth Revision ( ICD-10 ) codes for ongoing use. The DGS was developed in 2010 using ICD-9 codes with 21 major groups and 27 subgroups to facilitate research on pediatric patients presenting to emergency departments and required updated classification for more recent ICD codes.

METHODS

All emergency department discharges available in the Pediatric Emergency Care Applied Research Network (PECARN) database for 2016 were included to identify ICD-10 codes. These codes were then mapped onto the DGS codes originally derived from ICD-9 . We used ICD-10 codes from the PECARN database from 2017 to 2019 to confirm validity.

RESULTS

The DGS was updated with ICD-10 codes based on 2016 PECARN data, and this updated DGS was successfully applied to 6,853,479 (97.3%) of all codes from 2017 to 2019.

DISCUSSION

Using ICD-10 codes from the PECARN Registry, the DGS was updated to reflect ICD-10 codes to facilitate ongoing research.

Identifying Potentially Unnecessary Hospitalizations in Children With Pneumonia

OBJECTIVE

To characterize the outcomes of children with community acquired pneumonia (CAP) across 41 United States hospitals and evaluate factors associated with potentially unnecessary admissions.

METHODS

We performed a cross-sectional study of patients with CAP from 41 United States pediatric hospitals and evaluated clinical outcomes using a composite ordinal severity outcome: mild-discharged (discharged from the emergency department), mild-admitted (hospitalized without other interventions), moderate (provision of intravenous fluids, supplemental oxygen, broadening of antibiotics, complicated pneumonia, and presumed sepsis) or severe (ICU, positive-pressure ventilation, vasoactive infusion, chest drainage, extracorporeal membrane oxygenation, severe sepsis, or death). Our primary outcome was potentially unnecessary admissions (ie, mild-admitted). Among mild-discharged and mild-admitted patients, we constructed a generalized linear mixed model for mild-admitted severity and assessed the role of fixed (demographics and clinical testing) and random effects (institution) on this outcome.

RESULTS

Of 125 180 children, 68.3% were classified as mild-discharged, 6.6% as mild-admitted, 20.6% as moderate and 4.5% as severe. Among admitted patients (n = 39 692), 8321 (21%) were in the mild-admitted group, with substantial variability in this group across hospitals (median 19.1%, interquartile range 12.8%-28.4%). In generalized linear mixed models comparing mild-admitted and mild-discharge severity groups, hospital had the greatest contribution to model variability compared to all other variables.

CONCLUSIONS

One in 5 hospitalized children with CAP do not receive significant interventions. Among patients with mild disease, institutional variation is the most important contributor to predict potentially unnecessary admissions. Improved prognostic tools are needed to reduce potentially unnecessary hospitalization of children with CAP.

Comparison of crosswalk methods for translating ICD-9 to ICD-10 diagnosis codes for child maltreatment

BACKGROUND

A validated source of International Classification of Disease (1CD) 10th revision diagnostic codes to identify child maltreatment has not been developed. Such a reference would be essential for the practical purposes of administrative data-based research and public health surveillance.

OBJECTIVE

To evaluate the validity of diagnosis code classifications for child maltreatment following conversion from ICD 9th edition, clinical modification (ICD-9-CM) to 10th revision.

PARTICIPANTS AND SETTING

Children receiving inpatient or emergency medical care in the United States with ICD-9-CM/ICD-10-CM diagnosis codes for child maltreatment, identified using two large multicenter hospital-based datasets.

METHODS

We evaluated the performance of general equivalence mappings (GEMs) and network-based mappings for previously-validated ICD-9-CM diagnosis codes for child maltreatment in the 2013-2014 PHIS and 2012 KID and resulting ICD-10-CM codes in the 2018-2019 PHIS and 2016 KID datasets.

RESULTS

Of 56 previously-validated ICD-9-CM diagnoses, GEMs identified 15 with a similar proportion of diagnosed children in the KID ICD-9-CM and ICD-10 eras and 14 diagnoses in PHIS. Network-based mapping identified 18 diagnoses with similar proportions in the KID datasets, and 13 diagnoses in PHIS. For six diagnoses, the proportion of children identified in the ICD-10 era using network-based mapping was more than ten times the proportion identified in the ICD-9-CM era.

CONCLUSION

Neither crosswalk method provided consistently reliable conversions, due to both crosswalk methodology and changes introduced by the ICD 10th revision. These findings highlight the need for independent construction and validation of ICD-10-based definitions of child maltreatment as a precursor to administrative data-based research and public health surveillance.