Cargando…

Validating laboratory defined chronic kidney disease in the electronic health record for patients in primary care

BACKGROUND: Electronic health record (EHR) data is increasingly used to identify patients with chronic kidney disease (CKD). EHR queries used to capture CKD status, identify comorbid conditions, measure awareness by providers, and track adherence to guideline-concordant processes of care have not be...

Descripción completa

Detalles Bibliográficos
Autores principales: Frigaard, Martin, Rubinsky, Anna, Lowell, Lo, Malkina, Anna, Karliner, Leah, Kohn, Michael, Peralta, Carmen A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318865/
https://www.ncbi.nlm.nih.gov/pubmed/30606109
http://dx.doi.org/10.1186/s12882-018-1156-2
_version_ 1783384958529699840
author Frigaard, Martin
Rubinsky, Anna
Lowell, Lo
Malkina, Anna
Karliner, Leah
Kohn, Michael
Peralta, Carmen A
author_facet Frigaard, Martin
Rubinsky, Anna
Lowell, Lo
Malkina, Anna
Karliner, Leah
Kohn, Michael
Peralta, Carmen A
author_sort Frigaard, Martin
collection PubMed
description BACKGROUND: Electronic health record (EHR) data is increasingly used to identify patients with chronic kidney disease (CKD). EHR queries used to capture CKD status, identify comorbid conditions, measure awareness by providers, and track adherence to guideline-concordant processes of care have not been validated. METHODS: We extracted EHR data for primary-care patients with two eGFRcreat 15-59 mL/min/1.73 m^2 at least 90 days apart. Two nephrologists manually reviewed a random sample of 50 charts to determine CKD status, associated comorbidities, and physician awareness of CKD. We also assessed the documentation of a CKD diagnosis with guideline-driven care. RESULTS: Complete data were available on 1767 patients with query-defined CKD of whom 822 (47%) had a CKD diagnosis in their chart. Manual chart review confirmed the CKD diagnosis in 34 or 50 (68%) patients. Agreement between the reviewers and the EHR diagnoses on the presence of comorbidities was good (κ > 0.70, p < 0.05), except for congestive heart failure, (κ = 0.45, p < 0.05). Reviewers felt the providers were aware of CKD in 23 of 34 (68%) of the confirmed CKD cases. A CKD diagnosis was associated with higher odds of guideline-driven care including CKD-specific laboratory tests and prescriptions for statins. After adjustment, CKD diagnosis documentation was not significantly associated with ACE/ARB prescription. CONCLUSIONS: Identifying CKD status by historical eGFRs overestimates disease prevalence. A CKD diagnosis in the patient chart was a reasonable surrogate for provider awareness of disease status, but CKD awareness remains relatively low. CKD in the patient chart was associated with higher rates of albuminuria testing and use of statins, but not use of ACE/ARB. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-018-1156-2) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6318865
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-63188652019-01-08 Validating laboratory defined chronic kidney disease in the electronic health record for patients in primary care Frigaard, Martin Rubinsky, Anna Lowell, Lo Malkina, Anna Karliner, Leah Kohn, Michael Peralta, Carmen A BMC Nephrol Research Article BACKGROUND: Electronic health record (EHR) data is increasingly used to identify patients with chronic kidney disease (CKD). EHR queries used to capture CKD status, identify comorbid conditions, measure awareness by providers, and track adherence to guideline-concordant processes of care have not been validated. METHODS: We extracted EHR data for primary-care patients with two eGFRcreat 15-59 mL/min/1.73 m^2 at least 90 days apart. Two nephrologists manually reviewed a random sample of 50 charts to determine CKD status, associated comorbidities, and physician awareness of CKD. We also assessed the documentation of a CKD diagnosis with guideline-driven care. RESULTS: Complete data were available on 1767 patients with query-defined CKD of whom 822 (47%) had a CKD diagnosis in their chart. Manual chart review confirmed the CKD diagnosis in 34 or 50 (68%) patients. Agreement between the reviewers and the EHR diagnoses on the presence of comorbidities was good (κ > 0.70, p < 0.05), except for congestive heart failure, (κ = 0.45, p < 0.05). Reviewers felt the providers were aware of CKD in 23 of 34 (68%) of the confirmed CKD cases. A CKD diagnosis was associated with higher odds of guideline-driven care including CKD-specific laboratory tests and prescriptions for statins. After adjustment, CKD diagnosis documentation was not significantly associated with ACE/ARB prescription. CONCLUSIONS: Identifying CKD status by historical eGFRs overestimates disease prevalence. A CKD diagnosis in the patient chart was a reasonable surrogate for provider awareness of disease status, but CKD awareness remains relatively low. CKD in the patient chart was associated with higher rates of albuminuria testing and use of statins, but not use of ACE/ARB. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-018-1156-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-03 /pmc/articles/PMC6318865/ /pubmed/30606109 http://dx.doi.org/10.1186/s12882-018-1156-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Frigaard, Martin
Rubinsky, Anna
Lowell, Lo
Malkina, Anna
Karliner, Leah
Kohn, Michael
Peralta, Carmen A
Validating laboratory defined chronic kidney disease in the electronic health record for patients in primary care
title Validating laboratory defined chronic kidney disease in the electronic health record for patients in primary care
title_full Validating laboratory defined chronic kidney disease in the electronic health record for patients in primary care
title_fullStr Validating laboratory defined chronic kidney disease in the electronic health record for patients in primary care
title_full_unstemmed Validating laboratory defined chronic kidney disease in the electronic health record for patients in primary care
title_short Validating laboratory defined chronic kidney disease in the electronic health record for patients in primary care
title_sort validating laboratory defined chronic kidney disease in the electronic health record for patients in primary care
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318865/
https://www.ncbi.nlm.nih.gov/pubmed/30606109
http://dx.doi.org/10.1186/s12882-018-1156-2
work_keys_str_mv AT frigaardmartin validatinglaboratorydefinedchronickidneydiseaseintheelectronichealthrecordforpatientsinprimarycare
AT rubinskyanna validatinglaboratorydefinedchronickidneydiseaseintheelectronichealthrecordforpatientsinprimarycare
AT lowelllo validatinglaboratorydefinedchronickidneydiseaseintheelectronichealthrecordforpatientsinprimarycare
AT malkinaanna validatinglaboratorydefinedchronickidneydiseaseintheelectronichealthrecordforpatientsinprimarycare
AT karlinerleah validatinglaboratorydefinedchronickidneydiseaseintheelectronichealthrecordforpatientsinprimarycare
AT kohnmichael validatinglaboratorydefinedchronickidneydiseaseintheelectronichealthrecordforpatientsinprimarycare
AT peraltacarmena validatinglaboratorydefinedchronickidneydiseaseintheelectronichealthrecordforpatientsinprimarycare