Dataset Information

Identification of physical abuse-related hospitalizations in young children: Impact of the transition to ICD-10-CM coding.

ABSTRACT:

Background

Administrative healthcare databases are frequently used for child physical abuse (CPA)-related research and surveillance. In October 2015, the United States transitioned to the International Classification of Diseases, Clinical Modification-10th Revision (ICD-10-CM) coding regimen. ICD-10-CM expands coding related to CPA, including codes to differentiate suspected from confirmed CPA.

Objective

This study examined the impact of the transition to ICD-10-CM coding on population-level trends in rates of hospitalizations coded for CPA.

Participants and settings

Hospitalizations coded as related to CPA in children <5 years-of-age from 2010 to 2017 were identified across 19 Statewide Inpatient Databases.

Methods

Interrupted time series analyses were used to assess the impact of the coding transition on hospitalizations coded for CPA, overall and by child race/ethnicity.

Results

Of 9715 hospitalizations coded for CPA, 2797 (29%) occurred after the coding transition, including 51% coded for suspected CPA and 49% coded for confirmed CPA. There was a marginally-significant increase in the trend in CPA-related hospitalization after the coding transition among all children (0.09 per 100,000 children-per-quarter, p = 0.06), a significant increase in the trend among white children (0.15 per 100,000 children-per-quarter, p = 0.01), and no change among Black or Hispanic children. After the coding transition, hospitalizations coded for suspected CPA increased significantly overall (0.10 per 100,000 children-per-quarter, p < 0.001), and in particular among white children (0.12 per 100,000 children-per-quarter, p = 0.01) but not among Black or Hispanic children.

Conclusions

The transition to ICD-10-CM differentially impacted trends in hospitalizations coded for CPA by child race/ethnicity. Further research is necessary to discern the reasons for these discrepancies.

SUBMITTER: Apfeld JC

PROVIDER: S-EPMC8292224 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Publications

Identification of physical abuse-related hospitalizations in young children: Impact of the transition to ICD-10-CM coding.

Apfeld Jordan C JC Crichton Kristin G KG Minneci Peter C PC Puls Henry T HT Cooper Jennifer N JN

Child abuse & neglect 20210617

<h4>Background</h4>Administrative healthcare databases are frequently used for child physical abuse (CPA)-related research and surveillance. In October 2015, the United States transitioned to the International Classification of Diseases, Clinical Modification-10th Revision (ICD-10-CM) coding regimen. ICD-10-CM expands coding related to CPA, including codes to differentiate suspected from confirmed CPA.<h4>Objective</h4>This study examined the impact of the transition to ICD-10-CM coding on popul ...[more]

PMID: 34147940

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Project description:BackgroundWe aimed to estimate the impact of the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding transition on traumatic injury-related hospitalization trends among young adults across a geographically and demographically diverse group of U.S. states.MethodsInterrupted time series analyses were conducted using statewide inpatient databases from 12 states and including traumatic injury-related hospitalizations in adults aged 19-44 years in 2011-2017. Segmented regression models were used to estimate the impact of the October 2015 coding transition on external cause of injury (ECOI) completeness (percentage of hospitalizations with a documented ECOI code) and on population-level rates of injury-related hospitalizations by nature, intent, mechanism, and severity of injury.ResultsThe transition to ICD-10-CM was associated with a drop in ECOI completion in the transition month (- 3.7%; P < .0001), but there was no significant change in the positive trend in ECOI completion from the pre- to post-transition periods. There were significant increases post-transition in the measured rates of hospitalization for traumatic brain injury (TBI), unintentional injury, mild injury (injury severity score (ISS) < 9), and injuries caused by drowning, firearms, machinery, other pedestrian, suffocation, and unspecified mechanism. Conversely, there were significant decreases in October 2015 in the rates of hospitalization for assault, injuries of undetermined intent, injuries of moderate severity (ISS 9-15), and injuries caused by fire/burn, other pedal cyclist, other transportation, natural/environmental, and other specified mechanism. A significant increase in the percentage of hospitalizations classified as resulting from severe injury (ISS > 15) was observed when the general equivalence mapping maximum severity method for converting ICD-10-CM codes to ICD-9-CM codes was used. State-specific results for the outcomes of ECOI completion and TBI-related hospitalization rates are provided in an online supplement.ConclusionsThe U.S. transition from ICD-9-CM to ICD-10-CM coding led to a significant decrease in ECOI completion and several significant changes in measured rates of injury-related hospitalizations by injury intent, mechanism, nature, and severity. The results of this study can inform the design and analysis of future traumatic injury-related health services research studies that use both ICD-9-CM and ICD-10-CM coded data.Level of evidenceII (Interrupted Time Series).

Project description:BackgroundImplementation of the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) in the U.S. on October 1, 2015 was a significant policy change with the potential to affect established injury morbidity trends. This study used data from a single state to demonstrate 1) the use of a statistical method to estimate the effect of this coding transition on injury hospitalization trends, and 2) interpretation of significant changes in injury trends in the context of the structural and conceptual differences between ICD-9-CM and ICD-10-CM, the new ICD-10-CM-specific coding guidelines, and proposed ICD-10-CM-based framework for reporting of injuries by intent and mechanism. Segmented regression analysis was used for statistical modeling of interrupted time series monthly data to evaluate the effect of the transition to ICD-10-CM on Kentucky hospitalizations' external-cause-of-injury completeness (percentage of records with principal injury diagnoses supplemented with external-cause-of-injury codes), as well as injury hospitalization trends by intent or mechanism, January 2012-December 2017.ResultsThe segmented regression analysis showed an immediate significant drop in external-cause-of-injury completeness during the transition month, but returned to its pre-transition levels in November 2015. There was a significant immediate change in the percentage of injury hospitalizations coded for unintentional (3.34%) and undetermined intent (- 3.39%). There were immediate significant changes in the level of injury hospitalization rates due to poisoning, suffocation, struck by/against, other transportation, unspecified mechanism, and other specified not elsewhere classifiable mechanism. Significant change in slope after the transition (without immediate level change) was identified for assault, firearm, cut/pierce, and motor vehicle traffic injury rates. The observed trend changes reflected structural and conceptual features of ICD-10-CM coding (e.g., poisoning and suffocations are now captured via diagnosis codes only), new coding guidelines (e.g., requiring coding of injury intent as "accidental" if it is unknown or unspecified), and CDC proposed external-cause-of-injury code groupings by injury intent and mechanism. Researchers can replicate this methodology assessing trends in injuries or other ICD-10-CM-coded conditions using administrative billing data sets.ConclusionsThe CDC 's Proposed Framework for Presenting Injury Data Using ICD-10-CM External Cause of Injury Codes provided a logical transition from the ICD-9-CM-based matrix on injury hospitalization trends by intent and mechanism. Our findings are intended to raise awareness that changes in the ICD-10-CM coding system must be understood to assure accurate interpretation of injury trends.

Project description:ObjectivesUnderstand the continuity and changes in headache not-otherwise-specified (NOS), migraine, and post-traumatic headache (PTH) diagnoses after the transition from ICD-9-CM to ICD-10-CM in the Veterans Health Administration (VHA).BackgroundHeadache is one of the most commonly diagnosed chronic conditions managed within primary and specialty care clinics. The VHA transitioned from ICD-9-CM to ICD-10-CM on October-1-2015. The effect transitioning on coding of specific headache diagnoses is unknown. Accuracy of headache diagnosis is important since different headache types respond to different treatments.MethodsWe mapped headache diagnoses from ICD-9-CM (FY 2014/2015) onto ICD-10-CM (FY 2016/2017) and computed coding proportions two years before/after the transition in VHA. We used queries to determine the change in transition pathways. We report the odds of ICD-10-CM coding associated with ICD-9-CM controlling for provider type, and patient age, sex, and race/ethnicity.ResultsOnly 37%, 58% and 34% of patients with ICD-9-CM coding of NOS, migraine, and PTH respectively had an ICD-10-CM headache diagnosis. Of those with an ICD-10-CM diagnosis, 73-79% had a single headache diagnosis. The odds ratios for receiving the same code in both ICD-9-CM and ICD-10-CM after adjustment for ICD-9-CM and ICD-10-CM headache comorbidities and sociodemographic factors were high (range 6-26) and statistically significant. Specifically, 75% of patients with headache NOS had received one headache diagnoses (Adjusted headache NOS-ICD-9-CM OR for headache NOS-ICD-10-CM = 6.1, 95% CI 5.89-6.32. 79% of migraineurs had one headache diagnoses, mostly migraine (Adjusted migraine-ICD-9-CM OR for migraine-ICD-10-CM = 26.43, 95% CI 25.51-27.38). The same held true for PTH (Adjusted PTH-ICD-9-CM OR for PTH-ICD-10-CM = 22.92, 95% CI: 18.97-27.68). These strong associations remained after adjustment for specialist care in ICD-10-CM follow-up period.DiscussionThe majority of people with ICD-9-CM headache diagnoses did not have an ICD-10-CM headache diagnosis. However, a given diagnosis in ICD-9-CM by a primary care provider (PCP) was significantly predictive of its assignment in ICD-10-CM as was seeing either a neurologist or physiatrist (compared to a generalist) for an ICD-10-CM headache diagnosis.ConclusionWhen a veteran had a specific diagnosis in ICD-9-CM, the odds of being coded with the same diagnosis in ICD-10-CM were significantly higher. Specialist visit during the ICD-10-CM period was independently associated with all three ICD-10-CM headaches.

Dataset Information

Identification of physical abuse-related hospitalizations in young children: Impact of the transition to ICD-10-CM coding.

Background

Objective

Participants and settings

Methods

Results

Conclusions

Publications

Identification of physical abuse-related hospitalizations in young children: Impact of the transition to ICD-10-CM coding.

Similar Datasets

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