ReviewInternational journal of women's health2025
Bibliometric Analysis and ChatGPT-Assisted Identification of Key Strategies for Improving Primary Maternity Care Based on a Decade of Collective Research.
Review in International journal of women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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
3 citing papers in PubMed.
- Mapping Biomedical Engineering Education and Research in Sub-Saharan Africa: A Bibliometric and Systematic Analysis.Advances in medical education and practice · 2026Review
- Bibliometric and Visual Analysis of Trained Immunity from 2005 to 2024.Journal of inflammation research · 2026Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Maternity care within primary health facility settings is critical for reducing maternal and neonatal mortality in Indonesia. The aim of this study was to analyze research trends over the past decade to identify key strategies for improving maternity care in primary health care facilities in Indonesia. A bibliometric analysis was conducted using data from the Scopus database to map the research landscape and identify latent research topics in maternal health care. The analysis included keyword co-occurrence and network visualization, with assistance from ChatGPT-4.0 for enhanced identification and categorization of keywords. The identified research trends were used as surrogate variables representing the main concerns among researchers, experts, and funders. These variables were used to build strategies, which were then analyzed using SWOT (Strengths, Weaknesses, Opportunities, and Threats) by reflecting on the Indonesian context. The results revealed that key topics in maternity care included midwifery roles, pandemic resilience, and telemedicine. Based on SWOT analysis, most of the constructed strategies were found to have high external opportunities but low internal capabilities, indicating the need to strengthen internal resources. In conclusion, Indonesia must enhance its internal capabilities, particularly human resources and infrastructure, to effectively utilize external opportunities and improve maternal health outcomes.
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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.