Back

Data Resource Profile: Linking electronic health and social records to study and lower health inequalities in cardiovascular diseases (BIG-HEART)

Loo, L.; Umov, N.; Oja, M.; Reisberg, S.; Uuskula, A.; Kolde, R.; Tillmann, T.

2025-05-11 epidemiology
10.1101/2025.05.09.25327142 medRxiv
Show abstract

The BIG-HEART cohort was established to study and reduce health inequalities in cardiovascular disease by linking rich, multidimensional electronic health and social data across Estonia. The dataset includes all individuals aged 36 and above residing in Estonia in 2012 (N= 770,323). Its full population coverage minimises sampling and healthy volunteer bias. Existing funding and permits will support annual health outcome follow-up through at least 2026, with possible future extensions. The dataset integrates all routinely collected individual-level primary and secondary care health data (including in- and outpatient visits, diagnoses, prescriptions issued and filled), mortality data, and extensive social data (e.g. ethnicity, education, marital status, social benefits, unemployment history, land and business ownership) from eight national registries. This enables exploration of novel social epidemiology dimensions--such as unbiased wealth measures, medication adherence, and care quality--and supports development of equity-enhancing clinical risk prediction algorithms and large language models. Health and social data are linked using pseudonymised identifiers derived from national personal identification numbers, ensuring accuracy and privacy. The data are stored in the OMOP common data model, facilitating international collaboration. Collaboration inquiries are welcome and can be directed to the BIG-HEART team at taavi.tillmann@ut.ee.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
International Journal of Epidemiology
74 papers in training set
Top 0.1%
40.0%
2
BMJ Open
554 papers in training set
Top 2%
10.6%
50% of probability mass above
3
European Journal of Epidemiology
40 papers in training set
Top 0.1%
8.5%
4
Scientific Reports
3102 papers in training set
Top 27%
4.4%
5
Nature Communications
4913 papers in training set
Top 42%
3.3%
6
PLOS ONE
4510 papers in training set
Top 44%
2.8%
7
The Lancet Digital Health
25 papers in training set
Top 0.2%
2.6%
8
Nature Medicine
117 papers in training set
Top 1%
2.4%
9
Database
51 papers in training set
Top 0.4%
1.7%
10
Nature
575 papers in training set
Top 11%
1.7%
11
Swiss Medical Weekly
12 papers in training set
Top 0.1%
1.5%
12
JAMIA Open
37 papers in training set
Top 1%
1.2%
13
npj Digital Medicine
97 papers in training set
Top 3%
0.9%
14
JMIR mHealth and uHealth
10 papers in training set
Top 0.4%
0.8%
15
Science Advances
1098 papers in training set
Top 31%
0.7%
16
eLife
5422 papers in training set
Top 61%
0.7%
17
iScience
1063 papers in training set
Top 37%
0.7%
18
Nature Human Behaviour
85 papers in training set
Top 5%
0.7%
19
Infection
15 papers in training set
Top 0.5%
0.5%
20
JMIR Medical Informatics
17 papers in training set
Top 2%
0.5%
21
GigaScience
172 papers in training set
Top 4%
0.5%
22
Computer Methods and Programs in Biomedicine
27 papers in training set
Top 1%
0.5%
23
Frontiers in Psychiatry
83 papers in training set
Top 4%
0.5%
24
EMBO Molecular Medicine
85 papers in training set
Top 6%
0.5%