Cargando…

Sensitivity of Administrative Coding in Identifying Inpatient Acute Strokes Complicating Procedures or Other Diseases in UK Hospitals

BACKGROUND: Administrative hospital diagnostic coding data are increasingly used in “big data” research and to assess complication rates after surgery or acute medical conditions. Acute stroke is a common complication of several procedures/conditions, such as carotid interventions, but data are lack...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Linxin, Binney, Lucy E, Carter, Samantha, Gutnikov, Sergei A., Beebe, Sally, Bowsher‐Brown, Karen, Silver, Louise E., Rothwell, Peter M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662118/
https://www.ncbi.nlm.nih.gov/pubmed/31266385
http://dx.doi.org/10.1161/JAHA.119.012995
_version_ 1783439595252219904
author Li, Linxin
Binney, Lucy E
Carter, Samantha
Gutnikov, Sergei A.
Beebe, Sally
Bowsher‐Brown, Karen
Silver, Louise E.
Rothwell, Peter M.
author_facet Li, Linxin
Binney, Lucy E
Carter, Samantha
Gutnikov, Sergei A.
Beebe, Sally
Bowsher‐Brown, Karen
Silver, Louise E.
Rothwell, Peter M.
author_sort Li, Linxin
collection PubMed
description BACKGROUND: Administrative hospital diagnostic coding data are increasingly used in “big data” research and to assess complication rates after surgery or acute medical conditions. Acute stroke is a common complication of several procedures/conditions, such as carotid interventions, but data are lacking on the sensitivity of administrative coding in identifying acute stroke during inpatient stay. METHODS AND RESULTS: Using all acute strokes ascertained in a population‐based cohort (2002–2017) as the reference, we determined the sensitivity of hospital administrative diagnostic codes (International Classification of Diseases, Tenth Revision; ICD‐10) for identifying acute strokes that occurred during hospital admission for other reasons, stratified by coding strategies, study periods, and stroke severity (National Institutes of Health Stroke Score</≥5). Of 3011 acute strokes, 198 (6.6%) occurred during hospital admissions for procedures/other diseases, including 122 (61.6%) major strokes. Using stroke‐specific codes (ICD‐10=I60–I61 and I63–I64) in the primary diagnostic position, 66 of the 198 cases were correctly identified (sensitivity for any stroke, 33.3%; 95% CI, 27.1–40.2; minor stroke, 30.3%; 95% CI, 21.0–41.5; major stroke, 35.2%; 95% CI, 27.2–44.2), with no improvement of sensitivity over time (P (trend)=0.54). Sensitivity was lower during admissions for surgery/procedures than for other acute medical admissions (n/% 17/23.3% versus 49/39.2%; P=0.02). Sensitivity improved to 60.6% (53.6–67.2) for all and 61.6% (50.0–72.1) for surgery/procedures if other diagnostic positions were used, and to 65.2% (58.2–71.5) and 68.5% (56.9–78.1) respectively if combined with use of all possible nonspecific stroke‐related codes (ie, adding ICD‐10=I62 and I65–I68). CONCLUSIONS: Low sensitivity of administrative coding in identifying acute strokes that occurred during admission does not support its use alone for audit of complication rates of procedures or hospitalization for other reasons.
format Online
Article
Text
id pubmed-6662118
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-66621182019-08-02 Sensitivity of Administrative Coding in Identifying Inpatient Acute Strokes Complicating Procedures or Other Diseases in UK Hospitals Li, Linxin Binney, Lucy E Carter, Samantha Gutnikov, Sergei A. Beebe, Sally Bowsher‐Brown, Karen Silver, Louise E. Rothwell, Peter M. J Am Heart Assoc Original Research BACKGROUND: Administrative hospital diagnostic coding data are increasingly used in “big data” research and to assess complication rates after surgery or acute medical conditions. Acute stroke is a common complication of several procedures/conditions, such as carotid interventions, but data are lacking on the sensitivity of administrative coding in identifying acute stroke during inpatient stay. METHODS AND RESULTS: Using all acute strokes ascertained in a population‐based cohort (2002–2017) as the reference, we determined the sensitivity of hospital administrative diagnostic codes (International Classification of Diseases, Tenth Revision; ICD‐10) for identifying acute strokes that occurred during hospital admission for other reasons, stratified by coding strategies, study periods, and stroke severity (National Institutes of Health Stroke Score</≥5). Of 3011 acute strokes, 198 (6.6%) occurred during hospital admissions for procedures/other diseases, including 122 (61.6%) major strokes. Using stroke‐specific codes (ICD‐10=I60–I61 and I63–I64) in the primary diagnostic position, 66 of the 198 cases were correctly identified (sensitivity for any stroke, 33.3%; 95% CI, 27.1–40.2; minor stroke, 30.3%; 95% CI, 21.0–41.5; major stroke, 35.2%; 95% CI, 27.2–44.2), with no improvement of sensitivity over time (P (trend)=0.54). Sensitivity was lower during admissions for surgery/procedures than for other acute medical admissions (n/% 17/23.3% versus 49/39.2%; P=0.02). Sensitivity improved to 60.6% (53.6–67.2) for all and 61.6% (50.0–72.1) for surgery/procedures if other diagnostic positions were used, and to 65.2% (58.2–71.5) and 68.5% (56.9–78.1) respectively if combined with use of all possible nonspecific stroke‐related codes (ie, adding ICD‐10=I62 and I65–I68). CONCLUSIONS: Low sensitivity of administrative coding in identifying acute strokes that occurred during admission does not support its use alone for audit of complication rates of procedures or hospitalization for other reasons. John Wiley and Sons Inc. 2019-07-03 /pmc/articles/PMC6662118/ /pubmed/31266385 http://dx.doi.org/10.1161/JAHA.119.012995 Text en © 2019 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Li, Linxin
Binney, Lucy E
Carter, Samantha
Gutnikov, Sergei A.
Beebe, Sally
Bowsher‐Brown, Karen
Silver, Louise E.
Rothwell, Peter M.
Sensitivity of Administrative Coding in Identifying Inpatient Acute Strokes Complicating Procedures or Other Diseases in UK Hospitals
title Sensitivity of Administrative Coding in Identifying Inpatient Acute Strokes Complicating Procedures or Other Diseases in UK Hospitals
title_full Sensitivity of Administrative Coding in Identifying Inpatient Acute Strokes Complicating Procedures or Other Diseases in UK Hospitals
title_fullStr Sensitivity of Administrative Coding in Identifying Inpatient Acute Strokes Complicating Procedures or Other Diseases in UK Hospitals
title_full_unstemmed Sensitivity of Administrative Coding in Identifying Inpatient Acute Strokes Complicating Procedures or Other Diseases in UK Hospitals
title_short Sensitivity of Administrative Coding in Identifying Inpatient Acute Strokes Complicating Procedures or Other Diseases in UK Hospitals
title_sort sensitivity of administrative coding in identifying inpatient acute strokes complicating procedures or other diseases in uk hospitals
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662118/
https://www.ncbi.nlm.nih.gov/pubmed/31266385
http://dx.doi.org/10.1161/JAHA.119.012995
work_keys_str_mv AT lilinxin sensitivityofadministrativecodinginidentifyinginpatientacutestrokescomplicatingproceduresorotherdiseasesinukhospitals
AT binneylucye sensitivityofadministrativecodinginidentifyinginpatientacutestrokescomplicatingproceduresorotherdiseasesinukhospitals
AT cartersamantha sensitivityofadministrativecodinginidentifyinginpatientacutestrokescomplicatingproceduresorotherdiseasesinukhospitals
AT gutnikovsergeia sensitivityofadministrativecodinginidentifyinginpatientacutestrokescomplicatingproceduresorotherdiseasesinukhospitals
AT beebesally sensitivityofadministrativecodinginidentifyinginpatientacutestrokescomplicatingproceduresorotherdiseasesinukhospitals
AT bowsherbrownkaren sensitivityofadministrativecodinginidentifyinginpatientacutestrokescomplicatingproceduresorotherdiseasesinukhospitals
AT silverlouisee sensitivityofadministrativecodinginidentifyinginpatientacutestrokescomplicatingproceduresorotherdiseasesinukhospitals
AT rothwellpeterm sensitivityofadministrativecodinginidentifyinginpatientacutestrokescomplicatingproceduresorotherdiseasesinukhospitals
AT sensitivityofadministrativecodinginidentifyinginpatientacutestrokescomplicatingproceduresorotherdiseasesinukhospitals