ArticleBMJ open2012
A retrospective cohort study assessing patient characteristics and the incidence of cardiovascular disease using linked routine primary and secondary care data.
Article in BMJ open, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Traversing the data landscape: insights and recommendations from a case study using novel linkage of care home and health data.BMJ health & care informatics · 2026Article
- Validation of Medication Proxies for the Identification of Hospitalizations for Major Adverse Cerebro-Cardiovascular Events.Clinical epidemiology · 2025Article
- Unsupervised algorithms to identify potential under-coding of secondary diagnoses in hospitalisations databases in Portugal.Health information management : journal of the Health Information Management Association of Australia · 2024Article
- Impact of COVID-19 measures on exacerbation rates and healthcare visits in US asthma patients.Allergy and asthma proceedings · 2023Article
- Impact of COVID-19 pandemic on asthma exacerbations: Retrospective cohort study of over 500,000 patients in a national English primary care database.The Lancet regional health. Europe · 2022Article
- Association between gout and cardiovascular outcomes in adults with no history of cardiovascular disease: large data linkage study in New Zealand.BMJ medicine · 2022Article
- The prevalence of chronic conditions in patients diagnosed with one of 29 common and rarer cancers: A cross-sectional study using primary care data.Cancer epidemiology · 2020Article
- Observational
- Agreement between hospital and primary care on diagnostic labeling for COPD and heart failure in Toronto, Canada: a cross-sectional observational study.NPJ primary care respiratory medicine · 2018Observational
- Cardiovascular medication changes over 5 years in a national data linkage study: implications for risk prediction models.Clinical epidemiology · 2018Article
- Article
- Comparing routine administrative data with registry data for assessing quality of hospital care in patients with myocardial infarction using deterministic record linkage.BMC health services research · 2016Article
- Identification of major cardiovascular events in patients with diabetes using primary care data.BMC health services research · 2016Article
- How Does Cardiovascular Disease First Present in Women and Men? Incidence of 12 Cardiovascular Diseases in a Contemporary Cohort of 1,937,360 People.Circulation · 2015Observational
- Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study.BMJ (Clinical research ed.) · 2013Article
- Integrated research efforts are needed to better understand how to reduce the proportion of patients with cancer who are diagnosed as emergencies.British journal of cancer · 2013Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesData 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.
designRetrospective cohort study.
settingRoutine primary care data from 40 Scottish general practitioner (GP) surgeries linked to national hospital records.
participants240 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).
resultsFor 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.
conclusionsDifferences exist in patient characteristics and disease incidence for cardiovascular conditions, depending on the data source. This has implications for studies using routine clinical data.
Identifiers
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