Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Sep 27, 2022
Date Accepted: Jan 15, 2023
Identification of Postpartum Depression in Electronic Health Records: Validation in a Large Integrated Health Care System
ABSTRACT
Background:
Background:
The accuracy of electronic health records (EHR) for the identification of postpartum depression (PPD) is not well studied.
Objective:
Objective:
To evaluate the accuracy of PPD reporting in EHR and compare the quality of postpartum depression data collected before and after the implementation of International Classification of Diseases [ICD]-10 coding in the healthcare system.
Methods:
Methods:
Information on PPD was extracted from a random sample of 400 eligible Kaiser Permanente Southern California patients’ EHRs. Clinical diagnosis codes and pharmacy records were abstracted for two time periods: 1/1/2012 through 12/31/2014 (ICD-9 period) and 1/1/2017 through 12/31/2019 (ICD-10 period). Manual chart review of clinical records for PPD were considered the gold standard and were compared with corresponding electronically coded diagnosis and pharmacy records using sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Kappa statistic was calculated to measure agreement.
Results:
Results:
Overall agreement between the identification of depression using combined diagnosis codes and pharmacy records with that of medical record review was strong (k: 0.85, sensitivity: 98.3%, specificity: 83.3%, PPV: 93.7%, NPV: 95.0%). Using only diagnosis codes resulted in much lower sensitivity (65.4%) and NPV (50.5%), but good specificity (88.6%) and PPV (93.5%). Separately, examining agreement between chart review and electronic coding among diagnosis codes and pharmacy records showed sensitivity, specificity, and NPV higher with prescription utilization records than with clinical diagnosis coding for postpartum depression, 96.5% vs. 72.0%, 96.5% vs. 65.0%, and 96.5% vs. 65.0%, respectively. There was no notable difference in agreement between ICD-9 (overall k: 0.86) and ICD-10 (overall k: 0.83) coding periods.
Conclusions:
Conclusion: PPD is not reliably captured in clinical diagnosis coding of EHRs. The accuracy of PPD identification can be improved by supplementing clinical diagnosis with pharmacy utilization records. The completeness of PPD data remained unchanged after the implementation of the ICD-10 diagnosis coding.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.