Huge opportunity for public health as Electronic Health Records reach maturity
A team from the University of Birmingham has reported a significant step forward in public health research, in a study of ectopic pregnancy published in BMC Medical Research Methodology.
The study analysed data from an ‘open cohort’. Unlike a closed cohort, which has fixed number of people in the group under study, an open cohort (also known as a dynamic cohort) allows individuals to enter and leave the study group at different times during the study period.
This means the number of people in the study group can vary over time, and although this complexity makes analysis time-consuming and prone to variability, it is more representative of electronic health record databases.
These records hold a wealth of data that, when used to its full potential, can help understand trends, focus healthcare provision for specific groups, and so reduce inequalities in health.
The team behind the study has previously developed the Dexter software platform, which can automate the extraction and analysis of data from electronic health records.
Health researchers use incidence (the number of newly diagnosed cases in a particular time period) and prevalence (the proportion of the population who have received the diagnosis, regardless of when they received the diagnosis).
These calculations are usually automated, but the computer code used to generate incidence and prevalence are not standardised and are often created on a ‘one-off’ basis for individual studies. These variations mean that it may be impossible to compare incidence and prevalence obtained from different studies.
Researchers led by Dr Neil Cockburn, Clinical Research Fellow from Birmingham’s Institute of Applied Health Research have produced code for incidence and prevalence that can be applied to any open cohort and made these freely available in the paper, which can be downloaded as a standalone program or incorporated into other software packages.
Study findings
The paper presents a worked example of the prevalence and incidence of ectopic pregnancy from 2006 to 2021.
Overall, the researchers found an increase in both prevalence and incidence of ectopic pregnancy during the period of study, which they believe reflects better recording over time as electronic health records mature.
They also found the prevalence of ectopic pregnancy varied by ethnicity: higher in women of black ethnicity compared to white ethnicity, lower for women of mixed and white ethnicity (with no difference observed between the two), and lower still amongst women of Asian or other ethnicities, or where ethnicity was not recorded.
Dr Cockburn said: “Despite being a key risk to maternal health, and a leading cause of maternal mortality in the first trimester of pregnancy, UK incidence and prevalence has not been reported in the literature since 2011 – and no study has reported the burden in key subgroups.”
About the DexterCare platform
The DexterCare platform was developed by researchers from the University of Birmingham to automate data extraction and analysis for healthcare providers. It is software agnostic and can rapidly automate data extraction at a local level, querying up to 10,000 records in under 10 seconds, enabling clinical audits. The system is federated, making the data secure.
Dexter is an Operating Division of University of Birmingham Enterprise.
