Acceptability of data linkage to identify women at risk of postnatal complication for the development of digital risk prediction tools and interventions to better optimise postnatal care, a qualitative descriptive study design.
Siobhan O'ConnorGeorge TilstonOlivia JonesAnita SharmaLaura OrmesherBradley QuinnAnthony WilsonJenny MyersNiels PeekVictoria PalinPublished in: BMC medicine (2024)
Current health system constraints in England contribute to suboptimal postnatal care. Integrating data linkage and improving education on data and digital tools for maternal healthcare shows promise for enhanced monitoring and improved future health. Recognised for streamlining processes and risk prediction, digital tools may enable more person-centred care plans, addressing the gaps in current postnatal care practice.
Keyphrases
- healthcare
- quality improvement
- preterm infants
- palliative care
- big data
- affordable care act
- type diabetes
- body mass index
- physical activity
- gene expression
- genome wide
- hepatitis c virus
- pregnancy outcomes
- pregnant women
- health insurance
- human immunodeficiency virus
- skeletal muscle
- risk assessment
- cross sectional
- machine learning
- current status
- chronic pain
- birth weight
- cervical cancer screening
- antiretroviral therapy