Using Health Inequality Dashboards to Improve Maternal and Neonatal Outcomes
Author Information
Author(s): Olakotan Olufisayo, Lim Jennifer N. W., Pillay Thillagavathie
Primary Institution: University Hospitals Leicester NHS Trust
Hypothesis
Can perinatal health inequality dashboards effectively identify health disparities and improve maternal and neonatal outcomes?
Conclusion
Perinatal health inequality dashboards can optimize maternal and neonatal care by providing targeted interventions, but further research is needed to assess their long-term impact.
Supporting Evidence
- Dashboards can visualize disparities in maternal and neonatal outcomes.
- Challenges in data completeness and standardization hinder effective use of dashboards.
- Health inequality dashboards have been shown to influence practices in neonatal intensive care units.
Takeaway
This study looked at special tools called dashboards that help doctors see and fix problems in maternal and baby health care. They found that these tools can help, but we need to learn more about how well they work over time.
Methodology
The study conducted a scoping review of literature from three databases (Embase, CINAHL, and Medline) focusing on health inequality dashboards related to maternal and neonatal outcomes.
Potential Biases
Potential biases may arise from the limited representation of studies and the challenges in data collection from diverse ethnic groups.
Limitations
The small number of studies on health inequality dashboards limits the ability to generalize findings across different populations and healthcare settings.
Participant Demographics
The studies included varied populations regardless of age, gender, race, ethnicity, or geographic location.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website