Evidence map›Paper›PMID 36394937›Full record

ArticleJMIR formative research2022

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

Jiaxiao Shi, Michael J Fassett, Vicki Y Chiu, Chantal C Avila, Nehaa Khadka, Brittany Brown, Pooja Patel, Nana Mensah, Fagen Xie, Morgan R Peltier and 1 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Jiaxiao Shi *Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID https://orcid.org/0000-0001-8397-3729
Michael J FassettDepartment of Obstetrics and Gynecology, Kaiser Permanente West Los Angeles Medical Center, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-3369-5916
Vicki Y ChiuDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID https://orcid.org/0000-0002-0698-6419
Chantal C AvilaDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID https://orcid.org/0000-0003-1753-5549
Nehaa KhadkaDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID https://orcid.org/0000-0002-5632-2434
Brittany BrownDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID https://orcid.org/0000-0002-8694-9473
Pooja PatelDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID https://orcid.org/0000-0002-9837-1920
Nana MensahDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID https://orcid.org/0000-0002-8380-0390
Fagen XieDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID https://orcid.org/0000-0002-1565-0490
Morgan R PeltierDepartment of Psychiatry, Jersey Shore University Medical Center, Neptune, NJ, United States.ORCID https://orcid.org/0000-0002-2350-6990
Darios Getahun *Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.ORCID https://orcid.org/0000-0003-3610-8841
Kaiser Permanente · USJersey Shore University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMigraine 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.

objectiveThe 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.

methodsMedical 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.

resultsThe 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%.

conclusionsNeither 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.

Indexed as

codingdiagnosisdiagnostic codeEHR systemelectronic health recordhealth planmedical recordmigraine headachepharmacypharmacy recordpostpartumvalidation

Identifiers

PMID36394937
PMCPMC9716418
OpenAlexW4308012434

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.