Volume 94, Issue 4 pp. 1550-1557
RESEARCH ARTICLE
Full Access

Comparing reliability of ICD-10-based COVID-19 comorbidity data to manual chart review, a retrospective cross-sectional study

Joseph W. Schaefer

Joseph W. Schaefer

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Joshua M. Riley

Joshua M. Riley

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Michael Li

Michael Li

Institute of Emerging Health Professions, Center for Digital Health and Data Science, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Dianna R. Cheney-Peters

Dianna R. Cheney-Peters

Division of Hospital Medicine, Department of Medicine, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA

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Chantel M. Venkataraman

Chantel M. Venkataraman

Department of Medicine, Internal Medicine Residency, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA

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Chris J. Li

Chris J. Li

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Christa M. Smaltz

Christa M. Smaltz

Department of Medicine, Internal Medicine Residency, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA

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Conor G. Bradley

Conor G. Bradley

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Crystal Y. Lee

Crystal Y. Lee

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Danielle M. Fitzpatrick

Danielle M. Fitzpatrick

Department of Medicine, Internal Medicine Residency, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA

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David B. Ney

David B. Ney

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Dina S. Zaret

Dina S. Zaret

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Divya M. Chalikonda

Divya M. Chalikonda

Department of Medicine, Internal Medicine Residency, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA

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Joshua D. Mairose

Joshua D. Mairose

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Kashyap Chauhan

Kashyap Chauhan

Department of Medicine, Internal Medicine Residency, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA

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Margaret V. Szot

Margaret V. Szot

Department of Medicine, Internal Medicine Residency, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA

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Robert B. Jones

Robert B. Jones

Department of Medicine, Internal Medicine Residency, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA

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Rukaiya Bashir-Hamidu

Rukaiya Bashir-Hamidu

Department of Medicine, Internal Medicine Residency, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA

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Shuji Mitsuhashi

Shuji Mitsuhashi

Department of Medicine, Internal Medicine Residency, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA

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Alan A. Kubey

Corresponding Author

Alan A. Kubey

Division of Hospital Medicine, Department of Medicine, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA

Division of Hospital Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA

Correspondence Alan A. Kubey, Division of Hospital Medicine, Thomas Jefferson University Hospital, 833 Chestnut Street, Suite 701, Philadelphia, PA 19107, USA.

Email: [email protected]

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First published: 30 November 2021
Citations: 2

Abstract

International Statistical Classification of Disease and Related Health Problems, 10th Revision codes (ICD-10) are used to characterize cohort comorbidities. Recent literature does not demonstrate standardized extraction methods. Objective: Compare COVID-19 cohort manual-chart-review and ICD-10-based comorbidity data; characterize the accuracy of different methods of extracting ICD-10-code-based comorbidity, including the temporal accuracy with respect to critical time points such as day of admission. Design: Retrospective cross-sectional study. Measurements: ICD-10-based-data performance characteristics relative to manual-chart-review. Results: Discharge billing diagnoses had a sensitivity of 0.82 (95% confidence interval [CI]: 0.79–0.85; comorbidity range: 0.35–0.96). The past medical history table had a sensitivity of 0.72 (95% CI: 0.69–0.76; range: 0.44–0.87). The active problem list had a sensitivity of 0.67 (95% CI: 0.63–0.71; range: 0.47–0.71). On day of admission, the active problem list had a sensitivity of 0.58 (95% CI: 0.54–0.63; range: 0.30–0.68)and past medical history table had a sensitivity of 0.48 (95% CI: 0.43–0.53; range: 0.30–0.56). Conclusions and Relevance: ICD-10-based comorbidity data performance varies depending on comorbidity, data source, and time of retrieval; there are notable opportunities for improvement. Future researchers should clearly outline comorbidity data source and validate against manual-chart-review.

CONFLICT OF INTERESTS

The authors declare that there are no conflict of interests.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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