Health issues within the socioscientific context: Systematic literature review

Health issues present significant and complex challenges to society. This study aimed to investigate research trends related to health issues as socioscientific issues (SSI). The SSI articles analysed were from three prominent data sources: Scopus, Google Scholar, and Pubmed. Articles were retrieved via Harzing's Publish or Perish application based on published between 2018 to 2023 and the keyword "Socioscientific Issue". There were 415 articles obtained and screened using the Prisma technique, leaving 81 eligible articles. The articles underwent qualitative content analysis and quantitative bibliometric analysis using the VOSviewer software to determine research topics, research objectives, and the learning model implemented. According to the research findings, qualitative analysis showed the dominant topics were genetic modification (28.3%), COVID-19 (17.2%), and food additives (6.7%). The primary objectives were to develop argumentation skills (16.2%), conceptual understanding (13.7%), and decision-making (11.1%). The frequently implemented learning models were problem-based (28.4%), case-based (24.7%), and inquiry-based learning (16.0%). The quantitative bibliometric analysis revealed the most SSI topics were COVID-19, antibiotic resistance, and obesity. The main objectives were to develop argumentation skills, regulate emotions, and decision-making. The frequently implemented learning models were problem-based, case-based and practice-based learning. Furthermore, exploratory studies on SSI learning within the health context for improving willingness to act, communication and motivation.

Authors

Publication Details

Journal
Journal of Turkish Science Education
Published
2025-06-30
DOI
https://doi.org/10.36681/tused.2025.012
Primary Topic
Interdisciplinary Research and Collaboration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Health issues within the socioscientific context: Systematic literature review

Sri Haryani, Woro Sumarni, Agung Tri Prasetya, Aqnes Budiarti
Journal of Turkish Science Education
Interdisciplinary Research and Collaboration
article

Health issues within the socioscientific context: Systematic literature review

Sri Haryani, Woro Sumarni, Agung Tri Prasetya, Aqnes Budiarti
article en

Abstract

Health issues present significant and complex challenges to society. This study aimed to investigate research trends related to health issues as socioscientific issues (SSI). The SSI articles analysed were from three prominent data sources: Scopus, Google Scholar, and Pubmed. Articles were retrieved via Harzing's Publish or Perish application based on published between 2018 to 2023 and the keyword "Socioscientific Issue". There were 415 articles obtained and screened using the Prisma technique, leaving 81 eligible articles. The articles underwent qualitative content analysis and quantitative bibliometric analysis using the VOSviewer software to determine research topics, research objectives, and the learning model implemented. According to the research findings, qualitative analysis showed the dominant topics were genetic modification (28.3%), COVID-19 (17.2%), and food additives (6.7%). The primary objectives were to develop argumentation skills (16.2%), conceptual understanding (13.7%), and decision-making (11.1%). The frequently implemented learning models were problem-based (28.4%), case-based (24.7%), and inquiry-based learning (16.0%). The quantitative bibliometric analysis revealed the most SSI topics were COVID-19, antibiotic resistance, and obesity. The main objectives were to develop argumentation skills, regulate emotions, and decision-making. The frequently implemented learning models were problem-based, case-based and practice-based learning. Furthermore, exploratory studies on SSI learning within the health context for improving willingness to act, communication and motivation.

Journal of Turkish Science EducationVol. 22(2)
Openalex Percentile: Top 84%
Interdisciplinary Research and Collaboration
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.