Cargando…

Trends in ICD-10-CM–Coded Administrative Datasets for Injury Surveillance and Research

OBJECTIVES: Accurate injury surveillance depends on data quality in administrative datasets created for billing and reimbursement. Significant effort has been devoted to testing the ability of candidate injury case definitions to identify injury cases accurately in these datasets. We used interviews...

Descripción completa

Detalles Bibliográficos
Autores principales: Costich, Julia F., Quesinberry, Dana B., Daniels, Lara K., Bush, Ashley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9612715/
https://www.ncbi.nlm.nih.gov/pubmed/36318943
http://dx.doi.org/10.14423/SMJ.0000000000001463
_version_ 1784819837009133568
author Costich, Julia F.
Quesinberry, Dana B.
Daniels, Lara K.
Bush, Ashley
author_facet Costich, Julia F.
Quesinberry, Dana B.
Daniels, Lara K.
Bush, Ashley
author_sort Costich, Julia F.
collection PubMed
description OBJECTIVES: Accurate injury surveillance depends on data quality in administrative datasets created for billing and reimbursement. Significant effort has been devoted to testing the ability of candidate injury case definitions to identify injury cases accurately in these datasets. We used interviews with experienced coders, informed by a review of the current literature, to identify three clinical coding trends that may affect the consistency of surveillance data: “clinical documentation improvement or clinical documentation integrity” (CDI), coding by treating clinicians, and certain electronic health record features. METHODS: An extensive literature review informed interviews with coding experts to identify potential issues in coding practice. To determine whether physician coding was associated with information loss, we analyzed data from two hospitals serving the same geographic area. One hospital had used physician coding of emergency department data for the past decade; the other used professional coders. We compared the proportion of emergency department records missing external cause of injury codes and assessed the variation for statistical significance. RESULTS: CDI audits review patient records to ensure that billing information includes every relevant International Classification of Diseases, Tenth Revision, Clinical Modification code. This approach has increased payment rates awarded to Medicare Advantage plans because additional codes increase the patient acuity level and case mix index. The impact of CDI audits on injury data needs further investigation. The pilot analysis addressing information loss with physician coding found a higher level of external cause coding with clinician self-coding, possibly because of the coding software. Finally, widespread “copy and paste” in patient electronic health records has the potential to increase reported injuries. CONCLUSIONS: Injury surveillance relies on billing and reimbursement records. Financial motivations may interfere with the consistency of surveillance findings and mislead injury epidemiologists. Further investigation is essential to ensure the integrity of surveillance findings.
format Online
Article
Text
id pubmed-9612715
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-96127152022-11-04 Trends in ICD-10-CM–Coded Administrative Datasets for Injury Surveillance and Research Costich, Julia F. Quesinberry, Dana B. Daniels, Lara K. Bush, Ashley South Med J Quality Care & Patient Safety OBJECTIVES: Accurate injury surveillance depends on data quality in administrative datasets created for billing and reimbursement. Significant effort has been devoted to testing the ability of candidate injury case definitions to identify injury cases accurately in these datasets. We used interviews with experienced coders, informed by a review of the current literature, to identify three clinical coding trends that may affect the consistency of surveillance data: “clinical documentation improvement or clinical documentation integrity” (CDI), coding by treating clinicians, and certain electronic health record features. METHODS: An extensive literature review informed interviews with coding experts to identify potential issues in coding practice. To determine whether physician coding was associated with information loss, we analyzed data from two hospitals serving the same geographic area. One hospital had used physician coding of emergency department data for the past decade; the other used professional coders. We compared the proportion of emergency department records missing external cause of injury codes and assessed the variation for statistical significance. RESULTS: CDI audits review patient records to ensure that billing information includes every relevant International Classification of Diseases, Tenth Revision, Clinical Modification code. This approach has increased payment rates awarded to Medicare Advantage plans because additional codes increase the patient acuity level and case mix index. The impact of CDI audits on injury data needs further investigation. The pilot analysis addressing information loss with physician coding found a higher level of external cause coding with clinician self-coding, possibly because of the coding software. Finally, widespread “copy and paste” in patient electronic health records has the potential to increase reported injuries. CONCLUSIONS: Injury surveillance relies on billing and reimbursement records. Financial motivations may interfere with the consistency of surveillance findings and mislead injury epidemiologists. Further investigation is essential to ensure the integrity of surveillance findings. Lippincott Williams & Wilkins 2022-11 2022-11-01 /pmc/articles/PMC9612715/ /pubmed/36318943 http://dx.doi.org/10.14423/SMJ.0000000000001463 Text en Copyright © 2022 The Author(s). Published Wolters Kluwer Health, Inc. on behalf of the Southern Medical Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Quality Care & Patient Safety
Costich, Julia F.
Quesinberry, Dana B.
Daniels, Lara K.
Bush, Ashley
Trends in ICD-10-CM–Coded Administrative Datasets for Injury Surveillance and Research
title Trends in ICD-10-CM–Coded Administrative Datasets for Injury Surveillance and Research
title_full Trends in ICD-10-CM–Coded Administrative Datasets for Injury Surveillance and Research
title_fullStr Trends in ICD-10-CM–Coded Administrative Datasets for Injury Surveillance and Research
title_full_unstemmed Trends in ICD-10-CM–Coded Administrative Datasets for Injury Surveillance and Research
title_short Trends in ICD-10-CM–Coded Administrative Datasets for Injury Surveillance and Research
title_sort trends in icd-10-cm–coded administrative datasets for injury surveillance and research
topic Quality Care & Patient Safety
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9612715/
https://www.ncbi.nlm.nih.gov/pubmed/36318943
http://dx.doi.org/10.14423/SMJ.0000000000001463
work_keys_str_mv AT costichjuliaf trendsinicd10cmcodedadministrativedatasetsforinjurysurveillanceandresearch
AT quesinberrydanab trendsinicd10cmcodedadministrativedatasetsforinjurysurveillanceandresearch
AT danielslarak trendsinicd10cmcodedadministrativedatasetsforinjurysurveillanceandresearch
AT bushashley trendsinicd10cmcodedadministrativedatasetsforinjurysurveillanceandresearch