Cargando…

A clinical investigation into the benefits of using charge codes in perioperative and critical care epidemiology: A retrospective cohort database study

CONTEXT: Epidemiologic studies in critical care routinely rely on the codes listed in International Classification of Diseases (ICD) manuals which are primarily intended for reimbursement of claims to payers. Standardized billing codes may minimize the measurement error when used in conjunction with...

Descripción completa

Detalles Bibliográficos
Autores principales: Cobert, Julien, Ellis, Alan R., Krishnamoorthy, Vijay, McCartney, Sharon L., Nathanson, Brian H., Stefan, Mihaela S., Lindenauer, Peter, Raghunathan, Karthik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759074/
https://www.ncbi.nlm.nih.gov/pubmed/33376689
http://dx.doi.org/10.4103/IJCIIS.IJCIIS_47_19
_version_ 1783627058995265536
author Cobert, Julien
Ellis, Alan R.
Krishnamoorthy, Vijay
McCartney, Sharon L.
Nathanson, Brian H.
Stefan, Mihaela S.
Lindenauer, Peter
Raghunathan, Karthik
author_facet Cobert, Julien
Ellis, Alan R.
Krishnamoorthy, Vijay
McCartney, Sharon L.
Nathanson, Brian H.
Stefan, Mihaela S.
Lindenauer, Peter
Raghunathan, Karthik
author_sort Cobert, Julien
collection PubMed
description CONTEXT: Epidemiologic studies in critical care routinely rely on the codes listed in International Classification of Diseases (ICD) manuals which are primarily intended for reimbursement of claims to payers. Standardized billing codes may minimize the measurement error when used in conjunction with ICD codes. AIMS: The aim was to examine the impact of using charge codes in addition to ICD codes for ascertaining two common procedures in surgical intensive care unit (ICU) settings: hemodialysis (HD) and red blood cell (RBC) transfusions. SETTINGS AND DESIGN: This was a retrospective cohort study of Premier Inc. Database. SUBJECTS AND METHODS: Elective surgical patients aged >18 years treated in the ICU postoperatively were included in this study. This includes the ascertainment of HD and RBC transfusions in the population using a standard “ICD code” versus an “either ICD code or charge code” approach. STATISTICAL ANALYSIS USED: Descriptive analysis using t-tests, Chi-square tests as appropriate was used. RESULTS: A total of 40,357 patients were identified as having undergone elective surgery, followed by admission to an ICU across 520 US hospitals. The use of “ICD codes only” uniformly underestimated rates of HD or RBC transfusions when compared to “Charge Codes only” and “ICD Codes or Charge Codes” (% increase of 15.4%–45.6% and 50.8%–93.1%, respectively). Differences varied with specific surgical populations studied. Patients identified using the “ICD code” approach had more comorbidities, were more likely to be female, and more likely to be Medicare beneficiaries. CONCLUSIONS: Epidemiologic studies in critical care should consider using multiple independent data sources to improve ascertainment of common critical care interventions.
format Online
Article
Text
id pubmed-7759074
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Wolters Kluwer - Medknow
record_format MEDLINE/PubMed
spelling pubmed-77590742020-12-28 A clinical investigation into the benefits of using charge codes in perioperative and critical care epidemiology: A retrospective cohort database study Cobert, Julien Ellis, Alan R. Krishnamoorthy, Vijay McCartney, Sharon L. Nathanson, Brian H. Stefan, Mihaela S. Lindenauer, Peter Raghunathan, Karthik Int J Crit Illn Inj Sci Original Article CONTEXT: Epidemiologic studies in critical care routinely rely on the codes listed in International Classification of Diseases (ICD) manuals which are primarily intended for reimbursement of claims to payers. Standardized billing codes may minimize the measurement error when used in conjunction with ICD codes. AIMS: The aim was to examine the impact of using charge codes in addition to ICD codes for ascertaining two common procedures in surgical intensive care unit (ICU) settings: hemodialysis (HD) and red blood cell (RBC) transfusions. SETTINGS AND DESIGN: This was a retrospective cohort study of Premier Inc. Database. SUBJECTS AND METHODS: Elective surgical patients aged >18 years treated in the ICU postoperatively were included in this study. This includes the ascertainment of HD and RBC transfusions in the population using a standard “ICD code” versus an “either ICD code or charge code” approach. STATISTICAL ANALYSIS USED: Descriptive analysis using t-tests, Chi-square tests as appropriate was used. RESULTS: A total of 40,357 patients were identified as having undergone elective surgery, followed by admission to an ICU across 520 US hospitals. The use of “ICD codes only” uniformly underestimated rates of HD or RBC transfusions when compared to “Charge Codes only” and “ICD Codes or Charge Codes” (% increase of 15.4%–45.6% and 50.8%–93.1%, respectively). Differences varied with specific surgical populations studied. Patients identified using the “ICD code” approach had more comorbidities, were more likely to be female, and more likely to be Medicare beneficiaries. CONCLUSIONS: Epidemiologic studies in critical care should consider using multiple independent data sources to improve ascertainment of common critical care interventions. Wolters Kluwer - Medknow 2020-09 2020-09-16 /pmc/articles/PMC7759074/ /pubmed/33376689 http://dx.doi.org/10.4103/IJCIIS.IJCIIS_47_19 Text en Copyright: © 2020 International Journal of Critical Illness and Injury Science http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Cobert, Julien
Ellis, Alan R.
Krishnamoorthy, Vijay
McCartney, Sharon L.
Nathanson, Brian H.
Stefan, Mihaela S.
Lindenauer, Peter
Raghunathan, Karthik
A clinical investigation into the benefits of using charge codes in perioperative and critical care epidemiology: A retrospective cohort database study
title A clinical investigation into the benefits of using charge codes in perioperative and critical care epidemiology: A retrospective cohort database study
title_full A clinical investigation into the benefits of using charge codes in perioperative and critical care epidemiology: A retrospective cohort database study
title_fullStr A clinical investigation into the benefits of using charge codes in perioperative and critical care epidemiology: A retrospective cohort database study
title_full_unstemmed A clinical investigation into the benefits of using charge codes in perioperative and critical care epidemiology: A retrospective cohort database study
title_short A clinical investigation into the benefits of using charge codes in perioperative and critical care epidemiology: A retrospective cohort database study
title_sort clinical investigation into the benefits of using charge codes in perioperative and critical care epidemiology: a retrospective cohort database study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759074/
https://www.ncbi.nlm.nih.gov/pubmed/33376689
http://dx.doi.org/10.4103/IJCIIS.IJCIIS_47_19
work_keys_str_mv AT cobertjulien aclinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT ellisalanr aclinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT krishnamoorthyvijay aclinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT mccartneysharonl aclinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT nathansonbrianh aclinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT stefanmihaelas aclinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT lindenauerpeter aclinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT raghunathankarthik aclinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT cobertjulien clinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT ellisalanr clinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT krishnamoorthyvijay clinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT mccartneysharonl clinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT nathansonbrianh clinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT stefanmihaelas clinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT lindenauerpeter clinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy
AT raghunathankarthik clinicalinvestigationintothebenefitsofusingchargecodesinperioperativeandcriticalcareepidemiologyaretrospectivecohortdatabasestudy