Dysmenorrhoea, or period pain, is a prevalent gynaecological condition that can result in functional interference during menstruation. Despite the significant disruption dysmenorrhoea can have on functioning and well-being, medical help-seeking rates are low. Little is known about what factors may predict help-seeking for dysmenorrhoea. The current study aimed to test the predictive validity of the Behavioural Model of Health Services Use (BMHSU) for help-seeking behaviour in dysmenorrhoea, whereby help-seeking behaviour was operationalised as having attended to a healthcare professional for dysmenorrhoea-related care. A cross-sectional observational design was used. Participants (N = 439) completed an online survey, which measured the following eight predictor variables: menstrual pain characteristics, health beliefs, self-efficacy, social support utilisation and satisfaction, perceived healthcare availability, and pain intensity and interference. Participants were also asked to report whether they had ever attended to a healthcare professional for their menstrual pain. The BMHSU accounted for 8% of the variance in help-seeking behaviour. Pain interference and appointment availability were significant predictors of the variance in past help-seeking behaviour, such that those who experienced greater pain interference, and those who perceived greater availability of healthcare appointments were less likely to have visited a healthcare professional for their menstrual pain. The BMHSU had an overall 69% classification accuracy in predicting help-seeking behaviour. Although the BMHSU demonstrated reasonably good model fit, it does not appear to be a particularly robust model for predicting help-seeking behaviour for dysmenorrhoea. Future research should explore whether a refined BMHSU or an alternative theoretical model can provide more useful insight into this behaviour. Better understanding of the determinants of help-seeking behaviour will enable the development of interventions to promote appropriate help-seeking and improve health outcomes for individuals with menstrual pain.
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