Cargando…
A retrospective cohort study assessing patient characteristics and the incidence of cardiovascular disease using linked routine primary and secondary care data
OBJECTIVES: Data linkage combines information from several clinical data sets. The authors examined whether coding inconsistencies for cardiovascular disease between components of linked data sets result in differences in apparent population characteristics. DESIGN: Retrospective cohort study. SETTI...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Group
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3332248/ https://www.ncbi.nlm.nih.gov/pubmed/22505310 http://dx.doi.org/10.1136/bmjopen-2011-000723 |
_version_ | 1782230203032928256 |
---|---|
author | Payne, Rupert A Abel, Gary A Simpson, Colin R |
author_facet | Payne, Rupert A Abel, Gary A Simpson, Colin R |
author_sort | Payne, Rupert A |
collection | PubMed |
description | OBJECTIVES: Data linkage combines information from several clinical data sets. The authors examined whether coding inconsistencies for cardiovascular disease between components of linked data sets result in differences in apparent population characteristics. DESIGN: Retrospective cohort study. SETTING: Routine primary care data from 40 Scottish general practitioner (GP) surgeries linked to national hospital records. PARTICIPANTS: 240 846 patients, aged 20 years or older, registered at a GP surgery. OUTCOMES: Cases of myocardial infarction, ischaemic heart disease and stroke (cerebrovascular disease) were identified from GP and hospital records. Patient characteristics and incidence rates were assessed for all three clinical outcomes, based on GP, hospital, paired GP/hospital (similar diagnoses recorded simultaneously in both data sets) or pooled GP/hospital records (diagnosis recorded in either or both data sets). RESULTS: For all three outcomes, the authors found evidence (p<0.05) of different characteristics when using different methods of case identification. Prescribing of cardiovascular medicines for ischaemic heart disease was greatest for cases identified using paired records (p≤0.013). For all conditions, 30-day case fatality rates were higher for cases identified using hospital compared with GP or paired data, most noticeably for myocardial infarction (hospital 20%, GP 4%, p=0.001). Incidence rates were highest using pooled GP/hospital data and lowest using paired data. CONCLUSIONS: Differences exist in patient characteristics and disease incidence for cardiovascular conditions, depending on the data source. This has implications for studies using routine clinical data. |
format | Online Article Text |
id | pubmed-3332248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BMJ Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-33322482012-04-23 A retrospective cohort study assessing patient characteristics and the incidence of cardiovascular disease using linked routine primary and secondary care data Payne, Rupert A Abel, Gary A Simpson, Colin R BMJ Open Epidemiology OBJECTIVES: Data linkage combines information from several clinical data sets. The authors examined whether coding inconsistencies for cardiovascular disease between components of linked data sets result in differences in apparent population characteristics. DESIGN: Retrospective cohort study. SETTING: Routine primary care data from 40 Scottish general practitioner (GP) surgeries linked to national hospital records. PARTICIPANTS: 240 846 patients, aged 20 years or older, registered at a GP surgery. OUTCOMES: Cases of myocardial infarction, ischaemic heart disease and stroke (cerebrovascular disease) were identified from GP and hospital records. Patient characteristics and incidence rates were assessed for all three clinical outcomes, based on GP, hospital, paired GP/hospital (similar diagnoses recorded simultaneously in both data sets) or pooled GP/hospital records (diagnosis recorded in either or both data sets). RESULTS: For all three outcomes, the authors found evidence (p<0.05) of different characteristics when using different methods of case identification. Prescribing of cardiovascular medicines for ischaemic heart disease was greatest for cases identified using paired records (p≤0.013). For all conditions, 30-day case fatality rates were higher for cases identified using hospital compared with GP or paired data, most noticeably for myocardial infarction (hospital 20%, GP 4%, p=0.001). Incidence rates were highest using pooled GP/hospital data and lowest using paired data. CONCLUSIONS: Differences exist in patient characteristics and disease incidence for cardiovascular conditions, depending on the data source. This has implications for studies using routine clinical data. BMJ Group 2012-04-13 /pmc/articles/PMC3332248/ /pubmed/22505310 http://dx.doi.org/10.1136/bmjopen-2011-000723 Text en © 2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode. |
spellingShingle | Epidemiology Payne, Rupert A Abel, Gary A Simpson, Colin R A retrospective cohort study assessing patient characteristics and the incidence of cardiovascular disease using linked routine primary and secondary care data |
title | A retrospective cohort study assessing patient characteristics and the incidence of cardiovascular disease using linked routine primary and secondary care data |
title_full | A retrospective cohort study assessing patient characteristics and the incidence of cardiovascular disease using linked routine primary and secondary care data |
title_fullStr | A retrospective cohort study assessing patient characteristics and the incidence of cardiovascular disease using linked routine primary and secondary care data |
title_full_unstemmed | A retrospective cohort study assessing patient characteristics and the incidence of cardiovascular disease using linked routine primary and secondary care data |
title_short | A retrospective cohort study assessing patient characteristics and the incidence of cardiovascular disease using linked routine primary and secondary care data |
title_sort | retrospective cohort study assessing patient characteristics and the incidence of cardiovascular disease using linked routine primary and secondary care data |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3332248/ https://www.ncbi.nlm.nih.gov/pubmed/22505310 http://dx.doi.org/10.1136/bmjopen-2011-000723 |
work_keys_str_mv | AT payneruperta aretrospectivecohortstudyassessingpatientcharacteristicsandtheincidenceofcardiovasculardiseaseusinglinkedroutineprimaryandsecondarycaredata AT abelgarya aretrospectivecohortstudyassessingpatientcharacteristicsandtheincidenceofcardiovasculardiseaseusinglinkedroutineprimaryandsecondarycaredata AT simpsoncolinr aretrospectivecohortstudyassessingpatientcharacteristicsandtheincidenceofcardiovasculardiseaseusinglinkedroutineprimaryandsecondarycaredata AT payneruperta retrospectivecohortstudyassessingpatientcharacteristicsandtheincidenceofcardiovasculardiseaseusinglinkedroutineprimaryandsecondarycaredata AT abelgarya retrospectivecohortstudyassessingpatientcharacteristicsandtheincidenceofcardiovasculardiseaseusinglinkedroutineprimaryandsecondarycaredata AT simpsoncolinr retrospectivecohortstudyassessingpatientcharacteristicsandtheincidenceofcardiovasculardiseaseusinglinkedroutineprimaryandsecondarycaredata |