Comparing reliability of ICD-10-based COVID-19 comorbidity data to manual chart review, a retrospective cross-sectional study.
J Med Virol
; 94(4): 1550-1557, 2022 Apr.
Article
in English
| MEDLINE | ID: covidwho-1540145
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.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
International Classification of Diseases
/
Clinical Coding
/
COVID-19
Type of study:
Cohort study
/
Diagnostic study
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
North America
Language:
English
Journal:
J Med Virol
Year:
2022
Document Type:
Article
Affiliation country:
Jmv.27492
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