• Michael Burrows, Nicola Gale, Sheila Greenfield, and Ian Litchfield.
• Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
• Bmc Fam Pract. 2020 Jul 10; 21 (1): 138.

BackgroundAmidst increased pressures on General Practice across England, 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, however, 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'.MethodsOur aim was to quantitatively assess the various characteristics of receptionists in primary care in England using the validated 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, disseminated online and as a postal questionnaire to 100 practices nationally.ResultsSeventy participants completed the WDQ, 54 online and 16 using the postal questionnaire with the response rate for the latter being 3.1%. The WDQ suggested receptionists experience high levels of task variety, task significance and of information processing and knowledge demands, confirming the high cognitive load placed on receptionists by performing numerous yet significant tasks. Perhaps in relation to these substantial responsibilities a reliance on colleagues for support and feedback to help negotiate this workload was reported.ConclusionThe evidence of our survey suggests that the role of modern GP receptionists requires an array of skills to accommodate various administrative, communicative, problem solving, and decision-making duties. There are ways in which the role might be better supported for example devising ways to separate complex tasks to avoid the errors involved with high cognitive load, providing informal feedback, and perhaps most importantly developing training programmes.

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