The study was conducted between August and October 2025 using an electronic survey distributed through open online channels, which means an individual-level response rate could not be calculated, a limitation the authors acknowledge. Still, the breadth of institutional coverage gives the data unusual weight for a convenience-sampled survey. Students from both public and private universities took part, and the researchers found no meaningful gap between the two sectors in how many students had at least considered research: 80.0 percent of public university students versus 84.8 percent of private university students had thought about engaging in scientific research, a difference that was not statistically significant. Interest, in other words, is not the problem. The pipeline between interest and action is.

That pipeline was examined with considerable methodological care. Because existing validated questionnaires were not suitable for the Turkish undergraduate context, the study team built a study-specific instrument from scratch. It was developed by medical students who are themselves actively involved in research, informed by the published literature and by their direct experience of overcoming common research-related difficulties, and adapted to the realities of Turkish medical education. Item content was reviewed by a research-active professor to assess relevance and coverage, and face validity and feasibility were tested in a pilot with 20 medical students who evaluated clarity, comprehensibility, and completion time. Incomplete or inconsistent responses were excluded before analysis.

The statistical approach combined descriptive statistics with Mann–Whitney U tests for continuous variables and Chi-square or Fisher’s exact tests for categorical variables. To isolate the factors that genuinely predict research intention, the team used multivariable binary logistic regression, a technique that estimates the independent effect of each variable while holding the others constant. Statistical significance was set at p < 0.05. The results of that modeling are the heart of the study. Higher English proficiency was associated with roughly three times the odds of intending to participate in scientific research, with an adjusted odds ratio of 3.07 and a 95 percent confidence interval of 1.96 to 4.83. The presence of a research-active person in the student’s environment nearly doubled the odds, at an adjusted odds ratio of 1.92 (95 percent CI 1.30 to 2.82). Prior research experience raised the odds by a factor of 1.83 (95 percent CI 1.24 to 2.69), and prior academic-writing training by a factor of 1.86 (95 percent CI 1.10 to 3.16).

Each of these four factors tells a different story about what is missing. English proficiency is perhaps the least surprising but most consequential. The overwhelming majority of biomedical literature is published in English, and the dominant reference databases, journals, and international conferences operate in that language. A student who cannot comfortably read an English-language paper, let alone write one, faces a structural barrier that no amount of enthusiasm can fully compensate. The finding that English proficiency roughly triples the odds of research intention suggests that language instruction is not merely a general educational nicety but a direct gateway into the scientific enterprise itself.

The environmental factor is the most sociologically interesting. Simply knowing or being near someone who is actively doing research nearly doubles a student’s odds of intending to do research themselves. This is consistent with long-standing observations in the sociology of science that research careers are often seeded by proximity: a classmate who publishes, a teaching assistant who runs a study, a physician who mentions a case report over coffee. Such contacts demystify the process, provide informal mentorship, and signal that research is something people like the student actually do. In a large, geographically dispersed medical education system like Türkiye’s, the uneven distribution of such role models may help explain why research engagement remains limited overall despite broad interest.

The publication data in the study quantify how narrow that pipeline really is. Among all 1,062 respondents, only 10.8 percent reported at least one peer-reviewed publication. Among the subset who had actually participated in research, 23.7 percent had published. That means roughly three out of four students who managed to get involved in a research project still never saw the work reach print. The authors treat prior research engagement and publication history as separate indicators of previous research exposure and research output, and the gap between the two is itself a finding. Getting students into research teams is only half the battle; converting participation into a finished, peer-reviewed product requires skills, time, and supervision that many students evidently never receive.

The secondary objectives of the study add another layer. The researchers also examined factors associated with knowledge of reference-management software, the tools such as citation managers that are basic infrastructure for anyone writing a manuscript. In an era when artificial intelligence is reshaping how literature is searched and summarized, the ability to organize and cite sources systematically remains a foundational skill, and the fact that the authors singled it out for analysis signals how unevenly distributed even basic research tooling is among undergraduates. The study-specific questionnaire was designed to capture these research-related knowledge and perception gaps that existing instruments, built for other contexts, had left underexplored.

The authors are careful about what their design can and cannot show. Because the survey is cross-sectional, capturing a single moment in time, the findings should be interpreted as associations rather than causal relationships. A student with high English proficiency may intend to do research, or students who decide to pursue research may then invest in their English; the data cannot distinguish these directions. Convenience sampling through open online channels likewise means the sample may overrepresent students who are already more connected and more research-curious. The authors received no financial support for the study, obtained ethical approval from the İstinye University Ethics Committee under approval number 2025-330, conducted the work in accordance with the Declaration of Helsinki, and collected all data anonymously with electronic informed consent from every participant.

Even with those caveats, the practical implications are hard to ignore. If intention to do research is driven by English skills, writing training, hands-on experience, and contact with research-active people, then medical schools have four concrete levers to pull. Embedding academic-writing instruction into the undergraduate curriculum, creating structured early research experiences, expanding English for medical purposes courses, and deliberately connecting students with mentors and peers who are actively publishing could each move the needle. The study’s own authorship illustrates the point: the questionnaire was built by students who had themselves navigated these barriers, and the paper’s author list spans institutions across Türkiye and beyond. The message from the data is that research careers rarely ignite in isolation. They catch fire where language, mentorship, training, and opportunity happen to collide, and the task for educators is to make that collision far less accidental.

Subject of Research: Barriers to research engagement among medical students in Türkiye

Article Title: Barriers to research engagement among medical students in Türkiye: the role of environmental factors

Article References: Barriers to research engagement among medical students in Türkiye: the role of environmental factors. (n.d.). https://doi.org/10.1186/s12909-026-10514-1

Image Credits: AI Generated

DOI: 10.1186/s12909-026-10514-1

Keywords: medical students, research engagement, medical education, Türkiye, mentorship, English proficiency, academic writing, cross-sectional study, environmental factors, publication output, survey research, logistic regression