Evidence map›Paper›PMID 41658672›Full record

ReviewCureus2026

Visualisation Approaches in Qualitative Metasynthesis for Health Research.

Aviraj K S, Sumana Mukhopadhyay, Divya Darshani Sharma, Anmol Goyal, Manvi Sagar, Jobinse Jose

Abstract readReview
In one paragraph

Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Aviraj K SDepartment of Community Medicine, ESIC Medical College and Hospital, Noida, IND.
Sumana MukhopadhyayDepartment of Community Medicine, Grant Government Medical College, Mumbai, IND.
Divya Darshani SharmaDepartment of Community Medicine, Gian Sagar Medical College and Hospital, Dehradun, IND.
Anmol GoyalDepartment of Community Medicine, RIMT Medical College and Hospital, Mandi Gobindgarh, IND.
Manvi SagarDepartment of Community Medicine, Maharishi Markandeshwar College of Medical Sciences and Research (MMCMSR), Ambala, IND.
Jobinse JoseDepartment of Community Medicine, Jubilee Mission Medical College and Research Institute, Thrissur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Qualitative meta-synthesis, the interpretive counterpart of systematic review, integrates findings from multiple qualitative studies to generate deeper insights into complex health phenomena. Visualisation techniques enhance the interpretability of such syntheses by transforming textual data into clear, relational, and actionable forms. This review showcases advanced data visualisation tools to explore sociocultural influences on pregnancy and childbirth practices across global contexts. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and a registered PROSPERO protocol, qualitative studies examining cultural beliefs and maternity practices were systematically reviewed and thematically synthesised. The synthesised data were visualised using Sankey, Chord and Network diagrams, as well as geo-spatial sentiment maps, to illustrate thematic transitions, interconnections, and regional variations in sociocultural practices and perceptions. The Sankey diagram depicted the continuity and transition of cultural practices from pregnancy to childbirth. In contrast, the Chord diagram revealed interwoven relationships among themes such as rituals, dietary customs, and support systems across ethnic groups. Network analysis identified central, recurring sociocultural themes like gender roles, emotional support, and traditional beliefs. Geo-spatial sentiment mapping highlighted regional differences, with strong positive sentiments in parts of Africa, moderate neutrality in Asia and Europe, and negative perceptions in South America. Collectively, these visualisations uncovered cultural patterns and regional diversity, emphasising the importance of culturally sensitive, context-specific approaches to maternal health. Visual analytics enhances qualitative meta-synthesis by revealing hidden cultural patterns, improving interpretation, and guiding culturally sensitive health interventions.

Indexed as

chord diagramdata visualizationevidence synthesisgis mappingnetwork mappingqualitative meta-synthesissankey diagram

Identifiers

PMID41658672
PMCPMC12880856

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.