Help-seeking behaviour in dysmenorrhoea: A cross-sectional exploration using the Behavioural Model of Health Services Use.

Sophie C Matheson, Hannah Durand
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Abstract

Background: 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.

Objectives: 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.

Design: A cross-sectional observational design was used.

Methods: 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.

Results: 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.

Conclusion: 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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痛经患者的求助行为:利用医疗服务使用行为模型进行横断面研究。
背景:痛经或经期疼痛是一种常见的妇科疾病,可导致月经期间的功能障碍。尽管痛经会严重影响功能和健康,但寻求医疗帮助的比例却很低。人们对哪些因素可预测痛经的求助率知之甚少:本研究旨在测试医疗服务使用行为模型(BMHSU)对痛经求助行为的预测有效性,其中求助行为的操作化为曾向专业医护人员寻求痛经相关护理:设计:采用横断面观察设计:参与者(N = 439)完成了一项在线调查,该调查测量了以下八个预测变量:痛经特征、健康信念、自我效能、社会支持的利用率和满意度、感知到的医疗保健可用性以及疼痛强度和干扰。调查还要求参与者报告是否曾因经痛而就医:结果:BMHSU占求助行为差异的8%。疼痛干扰和预约的可获得性是过去求助行为差异的重要预测因素,例如,那些疼痛干扰较大的受试者和那些认为医疗预约可获得性较高的受试者不太可能因为经痛而去看医护人员。在预测求助行为方面,BMHSU 的总体分类准确率为 69%:尽管 BMHSU 的模型拟合度相当高,但它似乎并不是预测痛经求助行为的特别可靠的模型。未来的研究应探讨改进后的 BMHSU 或其他理论模型能否为这种行为提供更有用的见解。更好地了解求助行为的决定因素将有助于制定干预措施,促进适当的求助行为,改善痛经患者的健康状况。
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