Research needs, barriers, and related factors among resident physicians: a multicenter survey in Southern China.

Background: Integrating research training into residency programs can help resident physicians gain insights into cutting-edge treatment options and technologies, effectively improving patient outcomes.

Methods: Residents from several hospitals affiliated with leading medical universities in a province in southern China were surveyed using online questionnaires about their current research status, attitudes toward research activities, and barriers they face.

Results: Of the total 546 resident physicians surveyed, 103 (18.86%) had prior experience participating in research projects, and 82 (15.02%) had published articles. The average (mean ± SD) scores for "research knowledge" and "total research attitude" were 3.25 ± 2.16 and 43.13 ± 7.42, respectively. These reflect a moderate level of research knowledge and a high level of positive attitudes toward the usefulness of research. Multivariate analysis revealed that factors including gender, types of resident physician (clinical professional masters, commissioned resident physician, socialized residents), highest degree, preferred hospital for post-training employment, and prior participation in research were associated with both research knowledge scores and research attitudes. The average "total score for research barriers" was 46.56 ± 10.21. The four highest-rated barriers were "lack of time to do research because of clinical tasks," "lack of good research ideas," "insufficient research skills," and "lack of familiarity with research studies/statistical analysis."

Conclusion: Despite their positive attitudes toward research, the resident physicians in this study faced challenges such as lack of time, guidance, and skills in research practice. Therefore, ensuring dedicated research time and providing training opportunities can help reduce the barriers faced by resident physicians. Stratified training based on competence and needs can better enhance their productivity under resource-limited conditions.