Determinants of loss to follow-up among pregnant women living in a high malaria burden setting in Northern Uganda.

Malaria remains a significant global health challenge, disproportionately affecting Sub-Saharan Africa. Pregnant women represent one of the most vulnerable populations. Despite numerous advances in malaria control measures, lost-to-follow-up (LTFU) in antenatal care (ANC) programs poses a critical barrier to achieving optimal maternal and neonatal outcomes and the success of public health interventions. The factors driving LTFU, particularly in rural, high-burden settings, are not completely understood. This study investigates the determinants of LTFU among pregnant women receiving malaria screening in the context of the ERASE-Rise Against Malaria project in Northern Uganda. An observational retrospective cohort study was conducted on 1,558 women, recruited from July 2022 to June 2024, during the operational research held to assess the impact of antimalarial resistance on malaria care among pregnant women in three healthcare facilities in Oyam and Kole districts. Data on individual level (sociodemographic and clinical) and health care-related factors were analyzed using a multilevel logistic regression model to identify predictors of LTFU, defined as the absence of cohort outcome data 30 days after the expected delivery date. Efforts to recover missing data included delivery register consultation, active phone calls, and contact tracing by village health team workers. 871 (55.9%) of the 1,558 women were LTFU. Recovery strategies reduced the missing data rate to 29.1% (n=454). Protective factors against LTFU included higher education (aOR=0.75, 95% CI: 0.54-1.03, p=0.0798), being primigravida (aOR=0.73, 95% CI: 0.56-0.97, p=0.0275), and experiencing malaria during pregnancy (aOR=0.61, 95% CI: 0.48-0.78, p<0.0001). Women attending Aboke Health Center IV (n=385) were over five times more likely to be LTFU than those at Aber Hospital (n=955) (aOR=5.57, 95% CI: 4.08-7.71, p<0.0001), highlighting significant geographic and structural barriers. The high rate of LTFU in malaria screening programs underscores the need for targeted interventions addressing individual, systemic and structural barriers. Strengthening community-level support, improving healthcare infrastructures, and integrating malaria prevention into broader maternal health services are crucial for enhancing retention in care. Addressing determinants of LTFU, systematically, through further qualitative and quantitative research, is essential to improving maternal and neonatal health outcomes and achieving malaria eradication goals in high-burden settings.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-10-01
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of loss to follow-up among pregnant women living in a high malaria burden setting in Northern Uganda.

Roberta Papagni, Giovanni Putoto, Giulia Patti, Samuel Okori et al.
PubMed
Malaria Research and Control
article

Determinants of loss to follow-up among pregnant women living in a high malaria burden setting in Northern Uganda.

Roberta Papagni, Giovanni Putoto, Giulia Patti, Samuel Okori, Peter Lochoro, Jerry Ictho, Valentina Totaro, Giovanni Dall’Oglio, Mariangela L’Episcopia, Annalisa Saracino, Francesco Di Gennaro, Elda De Vita, Roberta Novara, Lameck Olal, Nelson Olung, Francesco Vladimiro Segala, Jacqueline Adongo, Gloria Atim
article en

Abstract

Malaria remains a significant global health challenge, disproportionately affecting Sub-Saharan Africa. Pregnant women represent one of the most vulnerable populations. Despite numerous advances in malaria control measures, lost-to-follow-up (LTFU) in antenatal care (ANC) programs poses a critical barrier to achieving optimal maternal and neonatal outcomes and the success of public health interventions. The factors driving LTFU, particularly in rural, high-burden settings, are not completely understood. This study investigates the determinants of LTFU among pregnant women receiving malaria screening in the context of the ERASE-Rise Against Malaria project in Northern Uganda. An observational retrospective cohort study was conducted on 1,558 women, recruited from July 2022 to June 2024, during the operational research held to assess the impact of antimalarial resistance on malaria care among pregnant women in three healthcare facilities in Oyam and Kole districts. Data on individual level (sociodemographic and clinical) and health care-related factors were analyzed using a multilevel logistic regression model to identify predictors of LTFU, defined as the absence of cohort outcome data 30 days after the expected delivery date. Efforts to recover missing data included delivery register consultation, active phone calls, and contact tracing by village health team workers. 871 (55.9%) of the 1,558 women were LTFU. Recovery strategies reduced the missing data rate to 29.1% (n=454). Protective factors against LTFU included higher education (aOR=0.75, 95% CI: 0.54-1.03, p=0.0798), being primigravida (aOR=0.73, 95% CI: 0.56-0.97, p=0.0275), and experiencing malaria during pregnancy (aOR=0.61, 95% CI: 0.48-0.78, p<0.0001). Women attending Aboke Health Center IV (n=385) were over five times more likely to be LTFU than those at Aber Hospital (n=955) (aOR=5.57, 95% CI: 4.08-7.71, p<0.0001), highlighting significant geographic and structural barriers. The high rate of LTFU in malaria screening programs underscores the need for targeted interventions addressing individual, systemic and structural barriers. Strengthening community-level support, improving healthcare infrastructures, and integrating malaria prevention into broader maternal health services are crucial for enhancing retention in care. Addressing determinants of LTFU, systematically, through further qualitative and quantitative research, is essential to improving maternal and neonatal health outcomes and achieving malaria eradication goals in high-burden settings.

PubMedVol. 48(3)
Istituto Superiore di Sanità (IT), Doctors with Africa Cuamm (IT), University of Bari Aldo Moro (IT)
Openalex Percentile: Top 59%
Malaria Research and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.