Three PHIT Maternal Health Research Abstracts Published in Frontiers

Prime Health Initiative Tanzania (PHIT) is pleased to announce the publication of three scientific abstracts in the 12th Tanzania Health Summit Abstract Book, published by Frontiers in 2026.

The abstracts were submitted to the 12th Tanzania Health Summit, held in Dar es Salaam from 1–3 October 2025, and highlight PHIT's contributions to advancing maternal healthcare through digital health innovations, improved antenatal screening, and Group Antenatal Care (G-ANC).

Drawing on research and implementation experience from the Mlinde Mama Project in Geita Region, the three studies provide evidence to inform improvements in maternal healthcare quality, early identification of pregnancy complications, and implementation of innovative antenatal care models.

Highlights of the Three Published Abstracts

1. Harnessing Digital Health and Machine Learning for Early Detection of Hypertensive Disorders in Pregnancy (P98, pages 261–263)

This study explored the application of machine learning to routine antenatal care data for early identification of hypertensive disorders during pregnancy.

Using digital ANC records, researchers evaluated five machine learning algorithms, identifying XGBoost as the preferred model. The model achieved approximately 90% accuracy and an AUC of 0.95, demonstrating promising potential for identifying women at risk of hypertensive disorders in low-resource settings.

The findings highlight opportunities to integrate AI-powered risk prediction into routine maternal health services while emphasizing the importance of high-quality health data.

2. Missed Opportunities for Antenatal Screening Coverage at First Contact in Routine Public Health Facilities: Findings from Geita Region, Tanzania (P124, pages 318–319)

This study assessed the delivery of essential antenatal screening services among 657 pregnant women across six public health facilities in Geita Region.

Although malaria testing (99.1%) and HIV testing (95.4%) achieved high coverage, no records were found for syphilis screening, urine sugar, or urine protein testing, highlighting important gaps in service delivery or documentation.

The findings emphasize the need to strengthen comprehensive screening during the first ANC contact to support early detection and management of pregnancy-related complications.

3. Perspectives of Women, Providers and Health Managers on Group Antenatal Care Model Implementation in Geita, Tanzania: A Qualitative Study (P145, pages 361–363)

This qualitative study explored the acceptability and feasibility of G-ANC from the perspectives of pregnant women, healthcare providers, and health managers.

Findings demonstrated high acceptability, with women reporting improved maternal health knowledge, peer support, and communication with healthcare providers. Providers and managers also highlighted improved engagement and opportunities for more interactive care.

However, challenges related to infrastructure, facilitator training, and resource availability underscored the importance of strengthening health system readiness for sustainable implementation and scale-up.

Strengthening Evidence for Maternal Health Improvements

Together, these three abstracts reflect PHIT's integrated approach to maternal health innovation, combining digital technologies, quality-of-care assessments, and people-centred service delivery models.

Their inclusion in the Frontiers conference abstract book increases the accessibility of locally generated evidence and creates opportunities for wider scientific exchange, policy dialogue, and collaboration.

The publication further reinforces PHIT's commitment to translating implementation research into practical solutions that strengthen maternal health services in Tanzania.

PHIT remains committed to generating, sharing, and applying scientific evidence to advance equitable, innovative, and high-quality maternal and newborn healthcare.

Read the Abstract Book: https://www.frontiersin.org/books/12th_Tanzania_Health_Summit/15990