SynthesisBMC public health2025
Predictors and prevalence of perinatal mortality in Ghana: a systematic review and meta-analysis.
Synthesis in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Geospatial disparities in infant mortality in Ghana: evidence from national data.BMJ global health · 2026Article
- Correlates of self-reported pregnancy complications: a cross-sectional study in two districts in Northern Ghana.Archives of public health = Archives belges de sante publique · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGhana has consistently reported a high perinatal mortality rate. This has raised concerns regarding the country's ability to achieve the Sustainable Development Goals 3 target 2 by 2030. This comprehensive review presents the pooled prevalence and predictors of perinatal mortalities in Ghana guided by the Anderson's framework of healthcare utilization.
methodsA comprehensive literature search was conducted mainly from four electronic databases; PubMed, Web of Science, Scopus and CINAHL as they collectively index > 90% of relevant maternal health journals in Africa and also eases the burden of screening. Eligible studies, published from 1st January 2010 to 30th June, 2024, were charted and synthesized, with focus on the three primary domains of Anderson's framework: pre-disposing factors, enabling factors and need factors. Meta-analysis was conducted to estimate the pooled prevalence of perinatal mortality rate within each of the sub-regions. Significant heterogeneity was detected among the various surveys (I2 > 50%), hence a random effect model was reported. Sub-group and meta-regression were performed to identify the sources of heterogeneity observed in the study.
resultsA total of 2,184 articles were initially identified for review, but after multiple rounds of screening and deduplication, only 30 full-text articles were finally included. The most frequent study design was cross-sectional, accounting for 23.3% of the studies. The Pooled estimate of perinatal mortality is 44.8 (95%CI: 15.4-74.2) per 1000 births in Ghana, with very high heterogeneity (I
conclusionThis review presents the complex interplay of factors determining perinatal mortality in Ghana. In addition to the predictors identified, the review reveals gaps in literature particularly the lack of case-control studies in rural settings and inadequate focus on healthcare quality, socio-economic influences, and policy impacts. Future studies should address these gaps using a holistic approach that takes into account Ghana's diverse social and geographical factors to better reduce perinatal mortality. SYSTEMATIC REVIEW REGISTRATION: The review protocol was registered in PROSPERO (CRD42024564968).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.