Cargando…

Accuracy of Identifying Acute Stroke Admissions in a Michigan Stroke Registry

INTRODUCTION: The accurate identification of acute stroke cases is an essential requirement of hospital-based stroke registries. We determined the accuracy of acute stroke diagnoses in Michigan hospitals participating in a prototype of the Paul Coverdell National Acute Stroke Registry. METHODS: From...

Descripción completa

Detalles Bibliográficos
Autores principales: Reeves, Mathew J., Wehner, Susan, Organek, Natalie, Birbeck, Gretchen L., Mullard, Andrew J., Jacobs, Bradley S., Kothari, Rashmi, Hickenbottom, Susan
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3103567/
https://www.ncbi.nlm.nih.gov/pubmed/21477502
_version_ 1782204543762694144
author Reeves, Mathew J.
Wehner, Susan
Organek, Natalie
Birbeck, Gretchen L.
Mullard, Andrew J.
Jacobs, Bradley S.
Kothari, Rashmi
Hickenbottom, Susan
author_facet Reeves, Mathew J.
Wehner, Susan
Organek, Natalie
Birbeck, Gretchen L.
Mullard, Andrew J.
Jacobs, Bradley S.
Kothari, Rashmi
Hickenbottom, Susan
author_sort Reeves, Mathew J.
collection PubMed
description INTRODUCTION: The accurate identification of acute stroke cases is an essential requirement of hospital-based stroke registries. We determined the accuracy of acute stroke diagnoses in Michigan hospitals participating in a prototype of the Paul Coverdell National Acute Stroke Registry. METHODS: From May through November 2002, registry teams (ie, nurse and physician) from 15 Michigan hospitals prospectively identified all suspect acute stroke admissions and classified them as stroke or nonstroke. Medical chart data were abstracted for a random sample of 120 stroke and 120 nonstroke admissions. A blinded independent physician panel then classified each admission as stroke, nonstroke, or unclassifiable, and the overall accuracy of the registry was determined. RESULTS: The physician panel reached consensus on 219 (91.3%) of 240 admissions. The panel identified 105 stroke admissions, 93 of which had been identified by the registry teams (sensitivity = 88.6%). The panel identified 114 nonstroke admissions, all of which had been identified as nonstrokes by the registry teams (specificity = 100%). The positive and negative predictive value of the registry teams' designation was 100% and 90.5%, respectively. The registry teams' assessment of stroke subtype agreed with that of the panel in 78.5% of cases. Most discrepancies were related to the distinction between ischemic stroke and transient ischemic attack. CONCLUSION: The accuracy of hospitals participating in a hospital-based stroke registry to identify acute stroke admissions was very good; hospitals tended to underreport rather than to overreport stroke admissions. Stroke registries should periodically conduct studies to ensure that the accuracy of case ascertainment is maintained.
format Text
id pubmed-3103567
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Centers for Disease Control and Prevention
record_format MEDLINE/PubMed
spelling pubmed-31035672011-06-21 Accuracy of Identifying Acute Stroke Admissions in a Michigan Stroke Registry Reeves, Mathew J. Wehner, Susan Organek, Natalie Birbeck, Gretchen L. Mullard, Andrew J. Jacobs, Bradley S. Kothari, Rashmi Hickenbottom, Susan Prev Chronic Dis Original Research INTRODUCTION: The accurate identification of acute stroke cases is an essential requirement of hospital-based stroke registries. We determined the accuracy of acute stroke diagnoses in Michigan hospitals participating in a prototype of the Paul Coverdell National Acute Stroke Registry. METHODS: From May through November 2002, registry teams (ie, nurse and physician) from 15 Michigan hospitals prospectively identified all suspect acute stroke admissions and classified them as stroke or nonstroke. Medical chart data were abstracted for a random sample of 120 stroke and 120 nonstroke admissions. A blinded independent physician panel then classified each admission as stroke, nonstroke, or unclassifiable, and the overall accuracy of the registry was determined. RESULTS: The physician panel reached consensus on 219 (91.3%) of 240 admissions. The panel identified 105 stroke admissions, 93 of which had been identified by the registry teams (sensitivity = 88.6%). The panel identified 114 nonstroke admissions, all of which had been identified as nonstrokes by the registry teams (specificity = 100%). The positive and negative predictive value of the registry teams' designation was 100% and 90.5%, respectively. The registry teams' assessment of stroke subtype agreed with that of the panel in 78.5% of cases. Most discrepancies were related to the distinction between ischemic stroke and transient ischemic attack. CONCLUSION: The accuracy of hospitals participating in a hospital-based stroke registry to identify acute stroke admissions was very good; hospitals tended to underreport rather than to overreport stroke admissions. Stroke registries should periodically conduct studies to ensure that the accuracy of case ascertainment is maintained. Centers for Disease Control and Prevention 2011-04-15 /pmc/articles/PMC3103567/ /pubmed/21477502 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Original Research
Reeves, Mathew J.
Wehner, Susan
Organek, Natalie
Birbeck, Gretchen L.
Mullard, Andrew J.
Jacobs, Bradley S.
Kothari, Rashmi
Hickenbottom, Susan
Accuracy of Identifying Acute Stroke Admissions in a Michigan Stroke Registry
title Accuracy of Identifying Acute Stroke Admissions in a Michigan Stroke Registry
title_full Accuracy of Identifying Acute Stroke Admissions in a Michigan Stroke Registry
title_fullStr Accuracy of Identifying Acute Stroke Admissions in a Michigan Stroke Registry
title_full_unstemmed Accuracy of Identifying Acute Stroke Admissions in a Michigan Stroke Registry
title_short Accuracy of Identifying Acute Stroke Admissions in a Michigan Stroke Registry
title_sort accuracy of identifying acute stroke admissions in a michigan stroke registry
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3103567/
https://www.ncbi.nlm.nih.gov/pubmed/21477502
work_keys_str_mv AT reevesmathewj accuracyofidentifyingacutestrokeadmissionsinamichiganstrokeregistry
AT wehnersusan accuracyofidentifyingacutestrokeadmissionsinamichiganstrokeregistry
AT organeknatalie accuracyofidentifyingacutestrokeadmissionsinamichiganstrokeregistry
AT birbeckgretchenl accuracyofidentifyingacutestrokeadmissionsinamichiganstrokeregistry
AT mullardandrewj accuracyofidentifyingacutestrokeadmissionsinamichiganstrokeregistry
AT jacobsbradleys accuracyofidentifyingacutestrokeadmissionsinamichiganstrokeregistry
AT kotharirashmi accuracyofidentifyingacutestrokeadmissionsinamichiganstrokeregistry
AT hickenbottomsusan accuracyofidentifyingacutestrokeadmissionsinamichiganstrokeregistry
AT accuracyofidentifyingacutestrokeadmissionsinamichiganstrokeregistry