Incorporating reproductive system history data into cardiovascular nursing research to advance women's health.
Mary C Roberts DavisShirin O HiattNandita GuptaNathan F DieckmannLissi HansenQuin E DenfeldPublished in: European journal of cardiovascular nursing (2024)
The lack of sex-specific variables, such as reproductive system history (RSH), in cardiovascular research studies is a missed opportunity to address the cardiovascular disease (CVD) burden, especially among women who face sex-specific risks of developing CVD. Collecting RSH data from women enrolled in research studies is an important step towards improving women's cardiovascular health. In this paper, we describe two approaches to collecting RSH in CVD research: extracting RSH from the medical record and participant self-report of RSH. We provide specific examples from our own research and address common data management and statistical analysis problems when dealing with RSH data in research.
Keyphrases
- polycystic ovary syndrome
- electronic health record
- cardiovascular disease
- healthcare
- mental health
- pregnancy outcomes
- big data
- public health
- breast cancer risk
- type diabetes
- machine learning
- risk assessment
- risk factors
- artificial intelligence
- pregnant women
- human health
- coronary artery disease
- deep learning
- cardiovascular events
- climate change
- social media