Evidence map›Paper›PMID 40405567›Full record

ArticleJournal of evaluation in clinical practice2025

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

Olufisayo Olakotan, Jennifer N W Lim, Mina Bhavsar, Farah Siddiqui, Rabina Ayaz, Gillian O'Brady Henry, Thillagavathie Pillay Tilly

Abstract read
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Article in Journal of evaluation in clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Olufisayo OlakotanDepartment of Neonatology, Women and Children's Directorate, University Hospitals Leicester NHS Trust, Leicester, UK.ORCID 0000-0003-1999-5135
Jennifer N W LimFaculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK.ORCID 0000-0001-7696-949X
Mina BhavsarLeicester, Leicestershire and Rutland Local Maternity Systems, Leicester, UK.
Farah SiddiquiDepartment of Obstetrics, Women and Children's Directorate, University Hospitals Leicester NHS Trust, Leicester, UK.ORCID 0000-0001-9584-0608
Rabina AyazLeicester, Leicestershire and Rutland Local Maternity Systems, Leicester, UK.
Gillian O'Brady HenryLeicestershire Partnership NHS Trust, Leicester, UK.
Thillagavathie Pillay TillyDepartment of Neonatology, Women and Children's Directorate, University Hospitals Leicester NHS Trust, Leicester, UK.ORCID 0000-0002-4159-3282

Funding

This work was funded by the local maternity and neonatal services (LMNS) for Leicestershire, Leicester and Rutland.
6 · The paper itself

Abstract

introductionPerinatal 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.

aimTo 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.

methodA 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.

resultsThe 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.

conclusionThe 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.

Indexed as

Healthcare DisparitiesHealth Status DisparitiesMaternal Health ServicesPerinatal CareQuality ImprovementFemaleHumansInfant, NewbornPregnancyQualitative ResearchUnited Kingdomdashboardevaluationmaternal and neonatal outcomesperinatal health inequalitiesquality improvement

Identifiers

PMID40405567
PMCPMC12099278

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