Agreement between routine electronic hospital discharge and Scottish Stroke Care Audit (SSCA) data in identifying stroke in the Scottish population

Melanie Turner; Mark Barber; Hazel Dodds; Dennis Martin; Peter Langhorne; Mary Macleod

doi:10.1186/s12913-015-1244-y

Agreement between routine electronic hospital discharge and Scottish Stroke Care Audit (SSCA) data in identifying stroke in the Scottish population

Melanie Turner, Mark Barber, Hazel Dodds, Dennis Martin, Peter Langhorne, Mary Macleod

Research output: Contribution to journal › Article › peer-review

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Abstract

Background
In Scotland all non-obstetric, non-psychiatric acute inpatient and day case stays are recorded by an administrative hospital discharge database, the Scottish Morbidity Record (SMR01). The Scottish Stroke Care Audit (SSCA) collects data from all hospitals managing acute stroke in Scotland to support and improve quality of stroke care. The aim was to assess whether there were discrepancies between these data sources for admissions from 2010 to 2011.
Methods
Records were matched when admission dates from the two data sources were within two days of each other and if an International Classification of Diseases (ICD) code of I61, I63, I64, or G45 was in the primary or secondary diagnosis field on SMR01. We also carried out a linkage analysis followed by a case-note review within one hospital in Scotland.
Results
There were a total of 22 416 entries on SSCA and 22 200 entries on SMR01. The concordance between SSCA and SMR01 was 16 823. SSCA contained 5593 strokes that were not present in SMR01, whereas SMR01 contained 185 strokes that were not present in SSCA. In the case-note review the concordance was 531, with SSCA containing 157 strokes that were not present in SMR01 and SMR01 containing 32 strokes that were not present in SSCA.
Conclusions
When identifying strokes, hospital administrative discharge databases should be used with caution. Our results demonstrate that SSCA most accurately represents the number of strokes occurring in Scotland. This resource is useful for determining the provision of adequate patient care, stroke services and resources, and as a tool for research.

Original language	English
Article number	583
Number of pages	5
Journal	BMC Health Services Research
Volume	15
Early online date	30 Dec 2015
DOIs	https://doi.org/10.1186/s12913-015-1244-y
Publication status	Published - 30 Dec 2015

Keywords

data validity
stroke
admission

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10.1186/s12913-015-1244-yLicence: CC BY

Agreement between routine electronic hospital discharge and Scottish Stroke Care Audit
© 2015 Turner et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Final published version, 503 KBLicence: CC BY

Cite this

@article{f6d1bef103714b2a809c2a25bb71fcd8,

title = "Agreement between routine electronic hospital discharge and Scottish Stroke Care Audit (SSCA) data in identifying stroke in the Scottish population",

abstract = "BackgroundIn Scotland all non-obstetric, non-psychiatric acute inpatient and day case stays are recorded by an administrative hospital discharge database, the Scottish Morbidity Record (SMR01). The Scottish Stroke Care Audit (SSCA) collects data from all hospitals managing acute stroke in Scotland to support and improve quality of stroke care. The aim was to assess whether there were discrepancies between these data sources for admissions from 2010 to 2011.MethodsRecords were matched when admission dates from the two data sources were within two days of each other and if an International Classification of Diseases (ICD) code of I61, I63, I64, or G45 was in the primary or secondary diagnosis field on SMR01. We also carried out a linkage analysis followed by a case-note review within one hospital in Scotland.ResultsThere were a total of 22 416 entries on SSCA and 22 200 entries on SMR01. The concordance between SSCA and SMR01 was 16 823. SSCA contained 5593 strokes that were not present in SMR01, whereas SMR01 contained 185 strokes that were not present in SSCA. In the case-note review the concordance was 531, with SSCA containing 157 strokes that were not present in SMR01 and SMR01 containing 32 strokes that were not present in SSCA.ConclusionsWhen identifying strokes, hospital administrative discharge databases should be used with caution. Our results demonstrate that SSCA most accurately represents the number of strokes occurring in Scotland. This resource is useful for determining the provision of adequate patient care, stroke services and resources, and as a tool for research.",

keywords = "data validity, stroke, admission",

author = "Melanie Turner and Mark Barber and Hazel Dodds and Dennis Martin and Peter Langhorne and Mary Macleod",

note = "Date of Acceptance: 17/12/2015 This study was funded by Chest, Heart and Stroke Scotland. The SSCA is funded by NHS Scotland via ISD. Neither funder had any role in the analysis. We are grateful to David Murphy of SSCA and to Health Intelligence Grampian for providing data and to Lynsey Waugh of ISD Scotland for linking the SSCA data with SMR01 data.",

year = "2015",

month = dec,

day = "30",

doi = "10.1186/s12913-015-1244-y",

language = "English",

volume = "15",

journal = "BMC Health Services Research",

issn = "1472-6963",

publisher = "BioMed Central",

}

TY - JOUR

T1 - Agreement between routine electronic hospital discharge and Scottish Stroke Care Audit (SSCA) data in identifying stroke in the Scottish population

AU - Turner, Melanie

AU - Barber, Mark

AU - Dodds, Hazel

AU - Martin, Dennis

AU - Langhorne, Peter

AU - Macleod, Mary

N1 - Date of Acceptance: 17/12/2015 This study was funded by Chest, Heart and Stroke Scotland. The SSCA is funded by NHS Scotland via ISD. Neither funder had any role in the analysis. We are grateful to David Murphy of SSCA and to Health Intelligence Grampian for providing data and to Lynsey Waugh of ISD Scotland for linking the SSCA data with SMR01 data.

PY - 2015/12/30

Y1 - 2015/12/30

N2 - BackgroundIn Scotland all non-obstetric, non-psychiatric acute inpatient and day case stays are recorded by an administrative hospital discharge database, the Scottish Morbidity Record (SMR01). The Scottish Stroke Care Audit (SSCA) collects data from all hospitals managing acute stroke in Scotland to support and improve quality of stroke care. The aim was to assess whether there were discrepancies between these data sources for admissions from 2010 to 2011.MethodsRecords were matched when admission dates from the two data sources were within two days of each other and if an International Classification of Diseases (ICD) code of I61, I63, I64, or G45 was in the primary or secondary diagnosis field on SMR01. We also carried out a linkage analysis followed by a case-note review within one hospital in Scotland.ResultsThere were a total of 22 416 entries on SSCA and 22 200 entries on SMR01. The concordance between SSCA and SMR01 was 16 823. SSCA contained 5593 strokes that were not present in SMR01, whereas SMR01 contained 185 strokes that were not present in SSCA. In the case-note review the concordance was 531, with SSCA containing 157 strokes that were not present in SMR01 and SMR01 containing 32 strokes that were not present in SSCA.ConclusionsWhen identifying strokes, hospital administrative discharge databases should be used with caution. Our results demonstrate that SSCA most accurately represents the number of strokes occurring in Scotland. This resource is useful for determining the provision of adequate patient care, stroke services and resources, and as a tool for research.

AB - BackgroundIn Scotland all non-obstetric, non-psychiatric acute inpatient and day case stays are recorded by an administrative hospital discharge database, the Scottish Morbidity Record (SMR01). The Scottish Stroke Care Audit (SSCA) collects data from all hospitals managing acute stroke in Scotland to support and improve quality of stroke care. The aim was to assess whether there were discrepancies between these data sources for admissions from 2010 to 2011.MethodsRecords were matched when admission dates from the two data sources were within two days of each other and if an International Classification of Diseases (ICD) code of I61, I63, I64, or G45 was in the primary or secondary diagnosis field on SMR01. We also carried out a linkage analysis followed by a case-note review within one hospital in Scotland.ResultsThere were a total of 22 416 entries on SSCA and 22 200 entries on SMR01. The concordance between SSCA and SMR01 was 16 823. SSCA contained 5593 strokes that were not present in SMR01, whereas SMR01 contained 185 strokes that were not present in SSCA. In the case-note review the concordance was 531, with SSCA containing 157 strokes that were not present in SMR01 and SMR01 containing 32 strokes that were not present in SSCA.ConclusionsWhen identifying strokes, hospital administrative discharge databases should be used with caution. Our results demonstrate that SSCA most accurately represents the number of strokes occurring in Scotland. This resource is useful for determining the provision of adequate patient care, stroke services and resources, and as a tool for research.

KW - data validity

KW - stroke

KW - admission

U2 - 10.1186/s12913-015-1244-y

DO - 10.1186/s12913-015-1244-y

M3 - Article

VL - 15

JO - BMC Health Services Research

JF - BMC Health Services Research

SN - 1472-6963

M1 - 583

ER -

Agreement between routine electronic hospital discharge and Scottish Stroke Care Audit (SSCA) data in identifying stroke in the Scottish population

Abstract

Keywords

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