Medical student perceptions of gender and pain: a systematic review of the literature.

Abstract

Gender bias exists in healthcare and affects how pain is assessed and managed. This bias affects patient outcomes and their trust in healthcare professionals. We also know that future clinicians develop their attitudes early in training. Medical school is therefore an opportunity to shape the values of future doctors and to combat systemic gender bias in healthcare. This systematic review aims to explore medical student perceptions of the relationship between patients' gender and their pain, so that recommendations can be made for developing medical education. Embase, MEDLINE, PsychINFO, LILACS, Global Index Medicus, PakMediNet and ERIC were searched for articles relating to medical student perceptions of gender and pain, with no geographical or language limitations. Quality was assessed using the Medical Education Research Study Quality Index and the Critical Appraisal Skills Programme checklist. Nine publications were identified, two qualitative and seven quantitative. All studies had methodological limitations. Many different study designs were used, although most involved simulated patients. All studies referred to gender as binary. Multiple studies found that women's pain is more likely to be underestimated by medical students and that the patient's gender drives different approaches during clinical history taking, examination and management in these simulated situations. Only one study found no effect of patients' gender on students' perception of their pain. Whilst there is a paucity of high-quality studies in this area, patients' gender was found to affect how their pain is perceived by medical students. No studies explored where students' attitudes towards gender and pain arise from, and few involved 'real life situations'. We propose that further work into medical student perceptions in 'real situations' is needed. This will help to inform how undergraduate medical education can be developed to tackle gender bias, and ultimately improve outcomes for patients.