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

The research team, led by Tanatuch Tiratrakoonseree and colleagues at the Faculty of Medicine Ramathibodi Hospital, Mahidol University, in Bangkok, set out to answer a deceptively simple question: does the way students get into medical school relate to whether they later engage in research on their own initiative? To find out, they designed what methodologists call a sequential explanatory mixed-methods study, a two-phase architecture in which quantitative patterns are first established from large datasets and then interrogated through interviews that probe why those patterns might exist. This design is increasingly favored in education research because numbers alone rarely reveal the mechanisms behind disparities, and anecdotes alone rarely establish whether disparities are real.

The quantitative phase drew on institutional records from 1,021 students admitted between 2017 and 2022 through two distinct pathways of the Thai University Central Admission System, known as TCAS. The first, TCAS1, is a portfolio-based route in which applicants are evaluated on documented achievements, including academic records and extracurricular accomplishments. The second, TCAS3, is an examination-based route that relies primarily on standardized test performance. The outcome measure was deliberately concrete: at least one eligible extracurricular research activity recorded in institutional documentation from the moment of entry until graduation or 30 September 2023, whichever came first. Eligible activities included securing a research grant, presenting a conference abstract, or publishing a scholarly paper. Crucially, the researchers excluded research that was mandatory within the curriculum or tied to concurrent degree programs, ensuring that the measure captured voluntary, student-initiated engagement rather than required coursework.

The headline numbers were striking. Overall, only 103 of the 1,021 students, or 10.1 percent, had documented extracurricular research participation. But the distribution between pathways was lopsided: 52 of 246 TCAS1 students, or 21.1 percent, had such documentation, compared with just 51 of 775 TCAS3 students, or 6.6 percent. In statistical terms, the team used logistic regression, a modeling technique that estimates the odds of an outcome while adjusting for other variables, to quantify the gap. In a minimally adjusted model accounting for admission pathway and cohort year, portfolio-admitted students showed dramatically higher odds. In the primary model, which additionally adjusted for selected pre-admission characteristics, the adjusted odds ratio was 9.19, with a 95 percent confidence interval of 4.96 to 17.03. A confidence interval that excludes 1.0 by a wide margin indicates a statistically robust association, and this one does not come close to crossing that threshold.

A natural objection is that portfolio-admitted students might simply arrive with stronger academic credentials, particularly higher pre-university grade point averages, and that GPA rather than pathway explains the difference. The researchers addressed this directly with paired complete-case models run on the 854 students for whom pre-university GPA data were available. Before adjusting for GPA, the pathway estimate was 11.25; after adjustment, it was 10.63. The estimate barely moved, which is a classic sign that the pathway association is not confounded by prior academic performance in any meaningful way. Notably, GPA itself produced an imprecise estimate that was not statistically significant, meaning the data could not establish that pre-university grades predicted later research engagement at all. In other words, the admission route, not the report card, carried the signal.

Numbers this stark demand explanation, and that is where the qualitative phase earned its keep. Using the same eligibility criteria extended through 30 September 2024, the team sampled participants for interviews and ultimately spoke with 24 students or graduates, three faculty research advisors, and three members of the institution’s research-support committee. The interviews were analyzed thematically, a method in which researchers code transcripts for recurring patterns of meaning and organize them into overarching themes. Five interlocking themes emerged: prior exposure to research before medical school, research self-efficacy or the confidence to carry out scholarly work, the availability of mentoring and visible entry routes into research, competing priorities and academic pressure that crowd out voluntary activities, and unclear pathways that leave students unsure how to begin.

Perhaps the most intellectually honest element of the study is what the interviews revealed about the limits of the quantitative signal. Contrasting cases, in which the researchers deliberately compared participants and non-participants with similar backgrounds, showed that prior research exposure was neither necessary nor sufficient for later participation. Some students with no pre-medical research history became productive researchers once they found mentors and accessible entry points, while others with substantial prior exposure never engaged, deterred by the relentless demands of the medical curriculum or by other priorities. This nuance matters because it undercuts any temptation to read the odds ratio as a verdict on student potential. The authors are explicit on this point: the association should not be interpreted as causal, nor should admission pathway be treated as a proxy for what a student is capable of achieving.

What the evidence does support is a more structural interpretation. Students admitted through the portfolio route may arrive with different research-related starting conditions, including familiarity with how research works, existing contacts, and a self-image that includes scholarly contribution. But the interviews make clear that post-admission circumstances carry real weight too. Where mentoring is visible, where entry routes into labs and projects are clearly signposted, and where academic pressure leaves room to breathe, students from both pathways participate. Where those supports are opaque or scarce, participation withers regardless of background. The 10.1 percent overall participation rate is itself a sobering datum: even in an environment with institutional research support structures, the large majority of future doctors complete training without a single documented voluntary research activity.

The implications ripple outward well beyond a single Thai institution. Many medical schools worldwide operate multi-track admissions, blending portfolio assessment, standardized examinations, interviews, and holistic review, precisely because each method captures different dimensions of applicant quality. This study suggests that such systems may inadvertently create divergent trajectories that persist for years, quietly shaping who enters the physician-scientist pipeline. With concerns about shortages of clinician-researchers mounting globally, an admission decision made at age eighteen or nineteen appearing to correlate with a nine-fold difference in documented scholarly output is the kind of finding that should prompt institutional self-audits everywhere. The remedy the authors propose is refreshingly practical rather than structural upheaval: make research opportunities visible and accessible across all admission groups, invest in mentoring that reaches students who lack pre-existing networks, and respect that students have diverse priorities, some of which legitimately lie outside the laboratory. Equity in medical education, this study implies, is not only about who gets in, but about what doors remain open once they arrive.

Subject of Research: The association between medical school admission pathways and extracurricular research participation during medical training

Article Title: Association between medical school admission pathways and documented extracurricular research participation: a sequential explanatory mixed-methods study

Article References: Tiratrakoonseree, T., Suppawittaya, P., Srisatidnarakul, I., Kaewkamjornchai, P., & Sungkaworn, T. (2026). Association between medical school admission pathways and documented extracurricular research participation: a sequential explanatory mixed-methods study. BMC Medical Education. https://doi.org/10.1186/s12909-026-10525-y

Image Credits: AI Generated

DOI: 10.1186/s12909-026-10525-y

Keywords: medical school admission, research engagement, medical education, mixed-methods study, portfolio-based admission, examination-based admission, scholarly activity, mentoring, research self-efficacy, physician-scientists, logistic regression, Thailand