Published in PLOS One on 2026-07-06, this study is presented as an attributed evidence briefing. The excerpts below are the original researchers’ words, reproduced under their Creative Commons Attribution licence. Health Signal has selected the abstract and, where needed, opening background paragraphs; the complete methods, results, limitations and references remain in the linked paper.
Original authors: Ritbano Ahmed Abdo, Endalew Gemechu Sendo, Erdaw Tachbele Betre, Mohammed Sultan
Source: PLOS One • DOI 10.1371/journal.pone.0352352
Read the complete primary study ↗ · Creative Commons Attribution licence
From the researchers
Abstract
Immediate postpartum long-acting reversible contraception (IPP-LARC) is vital for reducing unintended pregnancies and improving maternal health. Despite extensive research in Ethiopia, evidence remains fragmented. The primary objective of this scoping review was to systematically map and synthesize the available evidence on IPP-LARC in Ethiopia and identify research gaps to inform future interventions.
A scoping review was conducted following the JBI framework. Comprehensive searches were performed across PubMed, Cochrane Library, Hinari, Google Scholar, and grey literature sources. Studies reporting on IPP-LARC in Ethiopia were included. Data were charted and synthesized narratively. Two independent reviewers screened studies using Rayyan. Findings were presented in graphical, tabular, and narrative formats, adhering to PRISMA-ScR guidelines.
A total of 845 records were identified through database searches and other strategies, of which 42 studies met the inclusion criteria. Among these, 42 employed quantitative designs, two were implementation-focused quality improvement studies, one used a mixed-methods approach, and one was purely qualitative. Thematic focus varied: 16 studies assessed IPP-LARC uptake, 12 examined IPP-IUCD uptake, seven evaluated intention or acceptance of LARC, one evaluated IPP-IUCD acceptance and uptake, one assessed informed choice, one examined receipt of IPPFP counseling, one explored barriers and facilitators, and one focused on knowledge and attitude. Reported uptake of immediate postpartum family planning ranged from 20.0% to 53.2%, with variation influenced by socio-demographic, service-related, psychosocial, and relational factors.
Evidence on IPP-LARC in Ethiopia highlights consistent determinants but is constrained by methodological and contextual gaps. Research remains dominated by cross-sectional, woman-centered studies, with limited attention to male engagement, community-level platforms, and qualitative insights. Addressing these gaps through rigorous, gender-inclusive, and context-sensitive intervention research is essential to strengthen shared decision-making and improve contraceptive uptake.
Introduction
Preventing unintended and closely spaced pregnancies is a global priority for improving maternal and neonatal health outcomes [1–9]. The immediate postpartum period—defined as the time from childbirth up to 48 hours after delivery—represents a critical window of opportunity to initiate effective contraceptive methods [10]. During this period, women are often highly motivated to avoid pregnancy, they are in contact with health facilities, and long-acting reversible contraceptives (LARCs)—particularly implants and postpartum intrauterine devices (PP-IUDs)—can be safely provided before discharge [11,12]. Evidence indicates that immediate initiation of LARCs reduces unmet need for family planning, decreases unintended pregnancies, and prevents adverse maternal and neonatal outcomes [1,2,8,13]. Despite these benefits, uptake of immediate postpartum LARCs (IPP-LARCs) remains suboptimal in many low- and middle-income countries, including Ethiopia [14–16].
Evidence from Ethiopia demonstrates wide variability in the uptake of IPP-LARC methods, with overall uptake rates remaining low to moderate [17–22]. Meta-analyses estimate that the pooled prevalence of IPP-FP uptake is approximately 21% [16]. However, facility-based studies report figures ranging from below 3.3% to over 53.2%, depending on region, type of health facility, and method mix [17,19,20,23,24]. For example, research from Addis Ababa reported that about one-third of women initiated an IPP-LARC method [22], while studies from Jimma [23] and other health facilities indicated even lower uptake, particularly of IUCD [18,25]. Such heterogeneity underscores contextual, methodological, and programmatic differences across Ethiopian health facilities.
Reading this evidence
Use the full paper to check the study design, participant selection, comparator and outcome definitions before drawing a practical conclusion. An association does not by itself show cause and effect. A reported performance measure needs its denominator and uncertainty. A finding from a particular facility, sample or time period should retain that scope when it is discussed elsewhere.
This briefing makes the source accessible within the wider public health desk. It does not assess an individual patient or certify a product. When considering relevance to another health system, examine the original authors’ account of context and limitations, then seek local implementation evidence. The related reporting below provides other studies to read alongside this one; it is a topic connection, rather than a claim that their results are directly comparable.
© 2026 Ritbano Ahmed Abdo, Endalew Gemechu Sendo, Erdaw Tachbele Betre, Mohammed Sultan. Excerpts reproduced under CC BY. Selection, formatting and contextual notes by Health Signal. The researchers are the authors of the source study, not members of Health Signal’s staff.
Explore connected evidence
- Evidence brief: Uptake and determinants of immediate and extended postpartum long-acting reversible contraceptive use in Eastern and Western Africa: A systematic review and meta-analysis
- Evidence brief: Exploring barriers and enablers to diabetes self-care practice in Ethiopia, 2025: A qualitative systematic review
- Evidence brief: Insights into long-acting reversible contraceptive practices in Sub-Saharan Africa: A machine learning perspective



