A quantitative assessment of the parameters of the role of receptionists in modern primary care using the work design framework
Abstract Background General practice faces unprecedented demands as the UK population ages and care complexity increases. Amidst these increased pressures, the receptionist continues to fulfil key administrative and clinically related tasks. The need for more robust support for these key personnel to ensure they stay focussed and motivated is apparent, but for this to be effective a more systematic understanding of the parameters of their work is required. Here we present a valuable insight into the tasks they fulfil their relationship with colleagues and their organisation, and their attitudes and behaviour at work collectively defined as their ‘work design’. Methods Our aim was to quantitatively assess the various characteristics of receptionists in UK primary care using the validated Work Design Questionnaire. A cross-sectional survey design was employed with receptionists randomly sampled from general practices across the UK. We used the Work Design Questionnaire (WDQ) a 21 point validated questionnaire, divided into four categories: task, knowledge and social characteristics and work context with a series of sub-categories within each. Results Seventy participants completed the WDQ. Receptionists reported high task variety, task significance and high level of information processing, confirming the high cognitive load placed on them by performing numerous yet significant tasks. This complex role required an array of skills and there was a reliance on colleagues for support and feedback. Conclusion Research with modern GP receptionists is sparse and little is known formally regarding the parameters of the role. This research explores the work design of GP receptionists and offers clinicians in practice a practical overview of this important and essential role and its implications for the modern GP practice. We suggest a number of ways in to better support the modern receptionist, including separating complex tasks to avoid the errors involved with high cognitive load, providing informal feedback and developing training programmes.