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Postpartum Migraine Headache Coding in Electronic Health Records of a Large Integrated Health Care System: Validation Study

BACKGROUND: Migraine is a common neurological disorder characterized by repeated headaches of varying intensity. The prevalence and severity of migraine headaches disproportionally affects women, particularly during the postpartum period. Moreover, migraines during pregnancy have been associated wit...

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Autores principales: Shi, Jiaxiao, Fassett, Michael J, Chiu, Vicki Y, Avila, Chantal C, Khadka, Nehaa, Brown, Brittany, Patel, Pooja, Mensah, Nana, Xie, Fagen, Peltier, Morgan R, Getahun, Darios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716418/
https://www.ncbi.nlm.nih.gov/pubmed/36394937
http://dx.doi.org/10.2196/42955
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author Shi, Jiaxiao
Fassett, Michael J
Chiu, Vicki Y
Avila, Chantal C
Khadka, Nehaa
Brown, Brittany
Patel, Pooja
Mensah, Nana
Xie, Fagen
Peltier, Morgan R
Getahun, Darios
author_facet Shi, Jiaxiao
Fassett, Michael J
Chiu, Vicki Y
Avila, Chantal C
Khadka, Nehaa
Brown, Brittany
Patel, Pooja
Mensah, Nana
Xie, Fagen
Peltier, Morgan R
Getahun, Darios
author_sort Shi, Jiaxiao
collection PubMed
description BACKGROUND: Migraine is a common neurological disorder characterized by repeated headaches of varying intensity. The prevalence and severity of migraine headaches disproportionally affects women, particularly during the postpartum period. Moreover, migraines during pregnancy have been associated with adverse maternal outcomes, including preeclampsia and postpartum stroke. However, due to the lack of a validated instrument for uniform case ascertainment on postpartum migraine headache, there is uncertainty in the reported prevalence in the literature. OBJECTIVE: The aim of this study was to evaluate the completeness and accuracy of reporting postpartum migraine headache coding in a large integrated health care system’s electronic health records (EHRs) and to compare the coding quality before and after the implementation of the International Classification of Diseases, 10th revision, Clinical Modification (ICD-10-CM) codes and pharmacy records in EHRs. METHODS: Medical records of 200 deliveries in all 15 Kaiser Permanente Southern California hospitals during 2 time periods, that is, January 1, 2012 through December 31, 2014 (International Classification of Diseases, 9th revision, Clinical Modification [ICD-9-CM] coding period) and January 1, 2017 through December 31, 2019 (ICD-10-CM coding period), were randomly selected from EHRs for chart review. Two trained research associates reviewed the EHRs for all 200 women for postpartum migraine headache cases documented within 1 year after delivery. Women were considered to have postpartum migraine headache if either a mention of migraine headache (yes for diagnosis) or a prescription for treatment of migraine headache (yes for pharmacy records) was noted in the electronic chart. Results from the chart abstraction served as the gold standard and were compared with corresponding diagnosis and pharmacy prescription utilization records for both ICD-9-CM and ICD-10-CM coding periods through comparisons of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), as well as the summary statistics of F-score and Youden J statistic (J). The kappa statistic (κ) for interrater reliability was calculated. RESULTS: The overall agreement between the identification of migraine headache using diagnosis codes and pharmacy records compared to the medical record review was strong. Diagnosis coding (F-score=87.8%; J=82.5%) did better than pharmacy records (F-score=72.7%; J=57.5%) when identifying cases, but combining both of these sources of data produced much greater accuracy in the identification of postpartum migraine cases (F-score=96.9%; J=99.7%) with sensitivity, specificity, PPV, and NPV of 100%, 99.7%, 93.9%, and 100%, respectively. Results were similar across the ICD-9-CM (F-score=98.7%, J=99.9%) and ICD-10-CM coding periods (F-score=94.9%; J=99.6%). The interrater reliability between the 2 research associates for postpartum migraine headache was 100%. CONCLUSIONS: Neither diagnostic codes nor pharmacy records alone are sufficient for identifying postpartum migraine cases reliably, but when used together, they are quite reliable. The completeness of the data remained similar after the implementation of the ICD-10-CM coding in the EHR system.
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spelling pubmed-97164182022-12-03 Postpartum Migraine Headache Coding in Electronic Health Records of a Large Integrated Health Care System: Validation Study Shi, Jiaxiao Fassett, Michael J Chiu, Vicki Y Avila, Chantal C Khadka, Nehaa Brown, Brittany Patel, Pooja Mensah, Nana Xie, Fagen Peltier, Morgan R Getahun, Darios JMIR Form Res Original Paper BACKGROUND: Migraine is a common neurological disorder characterized by repeated headaches of varying intensity. The prevalence and severity of migraine headaches disproportionally affects women, particularly during the postpartum period. Moreover, migraines during pregnancy have been associated with adverse maternal outcomes, including preeclampsia and postpartum stroke. However, due to the lack of a validated instrument for uniform case ascertainment on postpartum migraine headache, there is uncertainty in the reported prevalence in the literature. OBJECTIVE: The aim of this study was to evaluate the completeness and accuracy of reporting postpartum migraine headache coding in a large integrated health care system’s electronic health records (EHRs) and to compare the coding quality before and after the implementation of the International Classification of Diseases, 10th revision, Clinical Modification (ICD-10-CM) codes and pharmacy records in EHRs. METHODS: Medical records of 200 deliveries in all 15 Kaiser Permanente Southern California hospitals during 2 time periods, that is, January 1, 2012 through December 31, 2014 (International Classification of Diseases, 9th revision, Clinical Modification [ICD-9-CM] coding period) and January 1, 2017 through December 31, 2019 (ICD-10-CM coding period), were randomly selected from EHRs for chart review. Two trained research associates reviewed the EHRs for all 200 women for postpartum migraine headache cases documented within 1 year after delivery. Women were considered to have postpartum migraine headache if either a mention of migraine headache (yes for diagnosis) or a prescription for treatment of migraine headache (yes for pharmacy records) was noted in the electronic chart. Results from the chart abstraction served as the gold standard and were compared with corresponding diagnosis and pharmacy prescription utilization records for both ICD-9-CM and ICD-10-CM coding periods through comparisons of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), as well as the summary statistics of F-score and Youden J statistic (J). The kappa statistic (κ) for interrater reliability was calculated. RESULTS: The overall agreement between the identification of migraine headache using diagnosis codes and pharmacy records compared to the medical record review was strong. Diagnosis coding (F-score=87.8%; J=82.5%) did better than pharmacy records (F-score=72.7%; J=57.5%) when identifying cases, but combining both of these sources of data produced much greater accuracy in the identification of postpartum migraine cases (F-score=96.9%; J=99.7%) with sensitivity, specificity, PPV, and NPV of 100%, 99.7%, 93.9%, and 100%, respectively. Results were similar across the ICD-9-CM (F-score=98.7%, J=99.9%) and ICD-10-CM coding periods (F-score=94.9%; J=99.6%). The interrater reliability between the 2 research associates for postpartum migraine headache was 100%. CONCLUSIONS: Neither diagnostic codes nor pharmacy records alone are sufficient for identifying postpartum migraine cases reliably, but when used together, they are quite reliable. The completeness of the data remained similar after the implementation of the ICD-10-CM coding in the EHR system. JMIR Publications 2022-11-17 /pmc/articles/PMC9716418/ /pubmed/36394937 http://dx.doi.org/10.2196/42955 Text en ©Jiaxiao Shi, Michael J Fassett, Vicki Y Chiu, Chantal C Avila, Nehaa Khadka, Brittany Brown, Pooja Patel, Nana Mensah, Fagen Xie, Morgan R Peltier, Darios Getahun. Originally published in JMIR Formative Research (https://formative.jmir.org), 17.11.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Shi, Jiaxiao
Fassett, Michael J
Chiu, Vicki Y
Avila, Chantal C
Khadka, Nehaa
Brown, Brittany
Patel, Pooja
Mensah, Nana
Xie, Fagen
Peltier, Morgan R
Getahun, Darios
Postpartum Migraine Headache Coding in Electronic Health Records of a Large Integrated Health Care System: Validation Study
title Postpartum Migraine Headache Coding in Electronic Health Records of a Large Integrated Health Care System: Validation Study
title_full Postpartum Migraine Headache Coding in Electronic Health Records of a Large Integrated Health Care System: Validation Study
title_fullStr Postpartum Migraine Headache Coding in Electronic Health Records of a Large Integrated Health Care System: Validation Study
title_full_unstemmed Postpartum Migraine Headache Coding in Electronic Health Records of a Large Integrated Health Care System: Validation Study
title_short Postpartum Migraine Headache Coding in Electronic Health Records of a Large Integrated Health Care System: Validation Study
title_sort postpartum migraine headache coding in electronic health records of a large integrated health care system: validation study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716418/
https://www.ncbi.nlm.nih.gov/pubmed/36394937
http://dx.doi.org/10.2196/42955
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