Comparing reliability of ICD-10-based COVID-19 comorbidity data to manual chart review, a retrospective cross-sectional study
© 2021 Wiley Periodicals LLC..
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 |
---|
Erscheinungsjahr: |
2022 |
---|---|
Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:94 |
---|---|
Enthalten in: |
Journal of medical virology - 94(2022), 4 vom: 15. Apr., Seite 1550-1557 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Schaefer, Joseph W [VerfasserIn] |
---|
Links: |
---|
Themen: |
COVID-19 |
---|
Anmerkungen: |
Date Completed 04.03.2022 Date Revised 16.07.2022 published: Print-Electronic Citation Status MEDLINE |
---|
doi: |
10.1002/jmv.27492 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM333873238 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM333873238 | ||
003 | DE-627 | ||
005 | 20231225222535.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231225s2022 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1002/jmv.27492 |2 doi | |
028 | 5 | 2 | |a pubmed24n1112.xml |
035 | |a (DE-627)NLM333873238 | ||
035 | |a (NLM)34850420 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Schaefer, Joseph W |e verfasserin |4 aut | |
245 | 1 | 0 | |a Comparing reliability of ICD-10-based COVID-19 comorbidity data to manual chart review, a retrospective cross-sectional study |
264 | 1 | |c 2022 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 04.03.2022 | ||
500 | |a Date Revised 16.07.2022 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status MEDLINE | ||
520 | |a © 2021 Wiley Periodicals LLC. | ||
520 | |a 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 | ||
520 | |a 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 | ||
520 | |a DESIGN: Retrospective cross-sectional study | ||
520 | |a MEASUREMENTS: ICD-10-based-data performance characteristics relative to manual-chart-review | ||
520 | |a 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) | ||
520 | |a 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 | ||
650 | 4 | |a Comparative Study | |
650 | 4 | |a Journal Article | |
650 | 4 | |a Validation Study | |
650 | 4 | |a COVID-19 | |
650 | 4 | |a International Classification of Diseases | |
650 | 4 | |a comorbidity | |
650 | 4 | |a electronic health records | |
650 | 4 | |a research design | |
700 | 1 | |a Riley, Joshua M |e verfasserin |4 aut | |
700 | 1 | |a Li, Michael |e verfasserin |4 aut | |
700 | 1 | |a Cheney-Peters, Dianna R |e verfasserin |4 aut | |
700 | 1 | |a Venkataraman, Chantel M |e verfasserin |4 aut | |
700 | 1 | |a Li, Chris J |e verfasserin |4 aut | |
700 | 1 | |a Smaltz, Christa M |e verfasserin |4 aut | |
700 | 1 | |a Bradley, Conor G |e verfasserin |4 aut | |
700 | 1 | |a Lee, Crystal Y |e verfasserin |4 aut | |
700 | 1 | |a Fitzpatrick, Danielle M |e verfasserin |4 aut | |
700 | 1 | |a Ney, David B |e verfasserin |4 aut | |
700 | 1 | |a Zaret, Dina S |e verfasserin |4 aut | |
700 | 1 | |a Chalikonda, Divya M |e verfasserin |4 aut | |
700 | 1 | |a Mairose, Joshua D |e verfasserin |4 aut | |
700 | 1 | |a Chauhan, Kashyap |e verfasserin |4 aut | |
700 | 1 | |a Szot, Margaret V |e verfasserin |4 aut | |
700 | 1 | |a Jones, Robert B |e verfasserin |4 aut | |
700 | 1 | |a Bashir-Hamidu, Rukaiya |e verfasserin |4 aut | |
700 | 1 | |a Mitsuhashi, Shuji |e verfasserin |4 aut | |
700 | 1 | |a Kubey, Alan A |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Journal of medical virology |d 1990 |g 94(2022), 4 vom: 15. Apr., Seite 1550-1557 |w (DE-627)NLM000285676 |x 1096-9071 |7 nnns |
773 | 1 | 8 | |g volume:94 |g year:2022 |g number:4 |g day:15 |g month:04 |g pages:1550-1557 |
856 | 4 | 0 | |u http://dx.doi.org/10.1002/jmv.27492 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 94 |j 2022 |e 4 |b 15 |c 04 |h 1550-1557 |