Comparing reliability of ICD‐10‐based COVID‐19 comorbidity data to manual chart review, a retrospective cross‐sectional study
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..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:94 |
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| Enthalten in: |
Journal of Medical Virology - 94(2022), 4, Seite 1550-1557 |
| Beteiligte Personen: |
Schaefer, Joseph W. [VerfasserIn] |
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| BKL: |
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| Anmerkungen: |
© 2022 Wiley Periodicals LLC |
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| Umfang: |
8 |
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| doi: |
10.1002/jmv.27492 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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WLY009002804 |
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| 520 | |a 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. | ||
| 700 | 1 | |a Riley, Joshua M. |4 aut | |
| 700 | 1 | |a Li, Michael |4 aut | |
| 700 | 1 | |a Cheney‐Peters, Dianna R. |4 aut | |
| 700 | 1 | |a Venkataraman, Chantel M. |4 aut | |
| 700 | 1 | |a Li, Chris J. |4 aut | |
| 700 | 1 | |a Smaltz, Christa M. |4 aut | |
| 700 | 1 | |a Bradley, Conor G. |4 aut | |
| 700 | 1 | |a Lee, Crystal Y. |4 aut | |
| 700 | 1 | |a Fitzpatrick, Danielle M. |4 aut | |
| 700 | 1 | |a Ney, David B. |4 aut | |
| 700 | 1 | |a Zaret, Dina S. |4 aut | |
| 700 | 1 | |a Chalikonda, Divya M. |4 aut | |
| 700 | 1 | |a Mairose, Joshua D. |4 aut | |
| 700 | 1 | |a Chauhan, Kashyap |4 aut | |
| 700 | 1 | |a Szot, Margaret V. |4 aut | |
| 700 | 1 | |a Jones, Robert B. |4 aut | |
| 700 | 1 | |a Bashir‐Hamidu, Rukaiya |4 aut | |
| 700 | 1 | |a Mitsuhashi, Shuji |4 aut | |
| 700 | 1 | |a Kubey, Alan A. |4 aut | |
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