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Record W7115004987 · doi:10.51521/ijsa.2025.11.104

Knowledge and Perception of Anaesthesia and Anaesthesiologists Among Medical Students in a Tertiary Institution in Nigeria: A cross-sectional Study

2025· article· W7115004987 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Language
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsAnesthesiologySpecialtyPerceptionPerioperativeSet (abstract data type)Descriptive statisticsMEDLINE

Abstract

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Background: Anesthesiology often remains unfamiliar to many medical students, and the responsibilities of anesthesiologists are not widely comprehended by the students. The aim of this study is to determine the knowledge and perception of Nigerian medical students about Anaesthesiology as a specialty, assess their understanding of the roles of anaesthesiologists, as well as their overall perception of anaesthesiology as a career choice. Methods: This was a descriptive cross-sectional study of 250 undergraduate medical students from the University of Ilorin, Kwara state, who completed a structured online questionnaire. Descriptive statistics summarized responses, and associations between variables were tested using the Chi-square statistic, with significance set at p < 0.05. Results: 91.2% of participants have some knowledge of anaesthesia. 97.6% of participants identified anaesthesiologists as the professionals primarily responsible for administering anaesthesia during surgery. 72.4% of participants agreed that anaesthesiologists are actively involved in perioperative care. However, only 48.0% rated the specialty as highly or moderately visible compared with others. Career interest was moderate to high, with 58.8% considering anaesthesiology as a career option, 27.6% undecided, and 13.6% uninterested. Significant associations were observed between knowledge level and both academic year (χ² = 49.66, p < 0.001) and age group (χ² = 27.42, p < 0.001). Conclusion: The study revealed that most medical students possessed a sound understanding of the anesthesiologist’s key roles. While overall perceptions are favorable, exposure to the field remains a key determinant of knowledge and career interest. Keywords: Academic, Anaesthesia education, Anaesthesiologists’ roles, Career perception, Medical student awareness, Medical student career choice, Specialty interest, University of Ilorin, Nigeria References 1. study.com [Internet]. [cited 2025 Oct 30]. Anesthesiology Definition, History & Applications. Available from: https://study.com/academy/ lesson/anesthesiology-definition-history-applications.html 2. Statement on the Anesthesia Care Team [Internet]. [cited 2025 Oct 30]. Available from: https://www.asahq.org/standards-and-practice- parameters/statement-on-the-anesthesia-care-team 3."Anaesthesia as a career choice in a developing country; effect of clin" by Fauzia Khan, Fauzia Nasim Minai et al. [Internet]. [cited 2025 Oct 30]. Available from: https://ecommons.aku.edu/pakistan_fhs_mc_ anaesth/14/ 4.Types of Anesthesia - Anesthesiology | UCLA Health [Internet]. [cited 2025 Oct 30]. Available from: https://www.uclahealth.org/medical- services/anesthesiology/types-anesthesia 5.Hospital S. Understanding the Role of Anesthesiology in Modern Surgery [Internet]. Samanvay Hospital. 2024 [cited 2025 Oct 30]. Available from: https://samanvayhospital.com/understanding-the- role-of-anesthesiology-in-modern-surgery/ 6. Arefayne NR, Getahun AB, Melkie TB, Endalew NS, Nigatu YA. Patients' knowledge and perception of anesthesia and the anesthetists: Cross- sectional study. Ann Med Surg. 2022 May 11;78:103740 7. Schwengel D, Gangadharan M, Chilson K, Choi E, Weinhold A, Widing A, et al. Anesthesiologists, An Overlooked Resource: An Exposé on Anesthesiologists as Leaders in Disaster Preparedness and Response. Disaster Med Public Health Prep. 2025 Jan;19:e198 8.Medical student impressions of anesthesiology and anesthesiologists | Canadian Journal of Anesthesia/Journal canadien d'anesthésie [Internet]. [cited 2025 Oct 30]. Available from: https://link.springer. com/article/10.1007/s12630-010-9334-0 9. AlKhilaiwi RM, Alatassi A, Almohawis AH, Alhumaid TA, Almazyad KA, Bustami RT. Medical students' attitude toward anesthesia as a future career. Saudi J Anaesth. 2018 Jun;12(2):215 10. Lee JJ, Lee NH, Park CM, Hong SJ, Kong MH, Lee KH, et al. Public awareness about the specialty of anesthesiology and the role of anesthesiologists: a national survey. Korean J Anesthesiol. 2014 Jan 28;66(1):12 11. Specialty preferences among Nigerian medical students: a cross sectional study | BMC Medical Education | Full Text [Internet]. [cited 2025 Oct 30]. Available from: https://bmcmededuc.biomedcentral. com/articles/10.1186/s12909-025-07189-5#Tab3 12. Al- zubi M, Ali MM, Alzoubi S, Bani-hani M, Awwad MA, Seetan K, et al. Preference of and factors that influence future specialty among medical students in Jordan: A cross-sectional study. Ann Med Surg [Internet]. 2021 Jul [cited 2025 Oct 30];67. Available from: https://journals. lww.com/annals-of-medicine-and-surgery/fulltext/2021/07000/ preference_of_and_factors_that_influence_future.64.aspx 13. Ossai EN, Uwakwe KA, Anyanwagu UC, Ibiok NC, Azuogu BN, Ekeke N. Specialty preferences among final year medical students in medical schools of southeast Nigeria: need for career guidance. BMC Med Educ. 2016 Oct 4;16(1):259 14. Worldometer [Internet]. [cited 2025 Nov 15]. Population by Country (2025). Available from: https://www.worldometers.info/world- population/population-by-country/ 15. 'Nigeria Has Less Than 800 Anaesthetists Catering For Over 200m' - Daily Trust [Internet]. [cited 2025 Oct 30]. Available from: https:// dailytrust.com/nigeria-has-less-than-800-anaesthetists-catering-for- over-200m/ 16. Onwuka C, David OTOBO D, ONIPE M, Firebrand INAMU I, Hotton ANTHONY S. Knowledge, Attitude, and Perception of Medical Students Towards a Career in Anesthesiology. Int J Med Stud [Internet]. 2025 Jan 17. Imasogie, N.A., et al. (2019). Medical students' perception and awareness of anesthesiology as a specialty. Nigerian Postgraduate Medical Journal, 26(1), 22-28 18. Naik, V., Jain, N., & Gupta, P. (2021). Knowledge and perception of anesthesiology among medical undergraduates in India. Indian Journal of Clinical Anaesthesia, 8(2), 145-151 19. Ebirim, L. N., & Tobin, M. (2011). Knowledge and perception of anesthesia among medical students in Nigeria. Nigerian Journal of Clinical Practice, 14(3), 297-300 20. Subramani, Y., et al. (2020). Awareness and perception of anesthesiology among medical students in South India. Anesthesia Essays and Researches, 14(4), 622-627 21. Ugbor, I. K., Eze, C. U., & Okoye, I. J. (2018). Perception and knowledge of anesthesia among clinical medical students in southeastern Nigeria. Nigerian Journal of Medicine, 27(2), 120-125 22. Walsh KL, Yadav A, Cradeur M, et al: Impact of a preclinical medical student anesthesiology elective on theattitudes and perceptions of medical students regarding anesthesiology. Adv Med Educ Pract. 2023,14:1347-55 23. Yang Y, Li J, Wu X, et al.: Factors influencing subspecialty choice among medical students: a systematicreview and meta-analysis. BMJ Open. 2019, 9:e022097. 10.1136/bmjopen-2018-0220972024 Alrajban et al. Cureus 16(2): e53819. DOI 10.7759/cureus.53819 12 of 12 24. Arefayne NR, Getahun AB, Melkie TB, Endalew NS, Nigatu YA: Patients' knowledge and perception ofanesthesia and the anesthetists: cross- sectional study. Ann Med Surg (Lond). 2022, 78:103740.10.1016/j. amsu.2022.1037408 25. Alsaif, A. A., Alqurashi, A. A., & Alsaif, A. M. (2019). Perception of anesthesia and anesthesiologists among medical students in Saudi Arabia. Saudi Journal of Anaesthesia, 13(3), 181-188

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.362
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2025
Admission routes1
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