Discourse-Pragmatic Functions of Modal Auxiliary Verbs of English in Doctor-Patient Verbal Interactions at the University College Hospital, Ibadan, Nigeria
Doctor-patient interactions in hospitals constitute a communicative situation in which doctors strive to identify andunderstand their patients’ medical needs through dialoguing in order to offer effective diagnosis and treatment. Previous scholarlyworks on the problems of communication between doctors and patients, particularly from linguistic and pragmatic perspectives,have examined communicative styles and such phenomena as speech acts, conversational maxims, (im)politeness, questions ofpower and discourse devices that lead to good or bad effects, with little attention paid to the communicative potentials of linguisticmodality. This study, therefore, explored the discourse-pragmatic functions of English modal auxiliary verbs (may, would, can,could, etc.) in doctor-patient interactions at the University College Hospital, Ibadan, Nigeria, in order to determine thecommunicative value of linguistic modality for further understanding of doctor-patient clinical interactions. Schneider et al.’spragmatic model and Sack et al’s conversation analysis complemented by M.A.K. Halliday’s Systemic Functional Grammar wereadopted as theoretical and methodological frameworks. Recorded data on clinical interactions involving five doctors and twentypatients were purposively sampled and subjected to discourse-pragmatic analysis. Beyond their conventional functions, modalauxiliary verbs performed a range of context-dependent variety of pragmatic functions: doctors’ epistemic and authoritativecertainty, obligation, clarification, advice, etc. Modality allowed the interlocutors to negotiate multiple interactional andinterpersonal meanings. Might, maybe, can, cannot, should expressed certainty/uncertainty, impropriety, ineligibility, promise,and command, respectively. Thus, modal auxiliary verbs of English constitute a remarkable discourse tool, performing significantpragmatic functions capable of enhancing doctor-patient clinical interactions and communication in the Nigerian context.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-27
- DOI
- https://doi.org/10.5281/zenodo.14934805
- Primary Topic
- Statistical Methods and Bayesian Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00