# Leveraging Qualitative Insights for Dashboard Development to Address Perinatal Health Inequalities in Maternity, Neonatal and Perinatal Services

**Authors:** Olufisayo Olakotan, Jennifer N. W. Lim, Mina Bhavsar, Farah Siddiqui, Rabina Ayaz, Gillian O'Brady Henry, Thillagavathie Pillay (Tilly)

PMC · DOI: 10.1111/jep.70130 · Journal of Evaluation in Clinical Practice · 2025-05-22

## TL;DR

This paper explores the development of a dashboard to address perinatal health inequalities by gathering qualitative insights from clinicians in the UK.

## Contribution

The study provides new insights into the development and evaluation of a dashboard for highlighting perinatal health disparities.

## Key findings

- Key themes in dashboard development include data sourcing, integration, and accuracy in neonatal care.
- Evaluation themes highlight the need for a user-friendly interface and balancing qualitative and quantitative data.
- Sustainability and system integration are critical for the dashboard's long-term success.

## Abstract

Perinatal health inequalities, referring to disparities in maternal and neonatal outcomes among different ethnic groups, persist despite numerous calls to action. A quality improvement initiative, such as the perinatal health inequality dashboard, could serve as a tool to provide real‐time data, highlight trends and patterns, and capture and analyse disparities in maternal and neonatal outcomes across various population groups.

To explore the development process of the perinatal health inequality dashboard and conduct a preliminary evaluation of the barriers and facilitators in effectively presenting data and highlighting disparities in maternal and neonatal outcomes on the dashboard in the Leicester, Leicestershire, and Rutland (LLR) region in the United Kingdom.

A qualitative study was conducted at the University Hospital of Leicester (UHL) involving the dashboard development team and end users, who are clinicians specializing in obstetrics, neonatal care, and perinatal mental health from the Leicester, Leicestershire, and Rutland (LLR) region. Ten clinicians were interviewed using a semi‐structured approach over a 3‐month period. The data were analysed using thematic analysis following Braun and Clarke's method.

The study findings are presented in two sections: the dashboard development process and dashboard evaluation. Key themes in the development process include data sourcing, integration, and accuracy in neonatal care. Evaluation themes focus on the potential impact of the dashboard, a user‐friendly interface, balancing qualitative and quantitative data, sustainability through continuous oversight, and system integration and interoperability. These findings offer critical insights for the ongoing refinement and effective deployment of the dashboard.

The dashboard has the potential to improve health outcomes based on clinicians' insights. However, continuous refinement and modification of its functionality are necessary to address the challenges associated with its use.

## Full-text entities

- **Diseases:** brain injury (MESH:D001930), Mental Health (OMIM:603663), neonatal death (MESH:D066087), LLR (MESH:C562757), tears (MESH:D012167), stillbirth (MESH:D050497)
- **Chemicals:** Dashboard (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC12099278/full.md

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Source: https://tomesphere.com/paper/PMC12099278