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Improving ethnic monitoring for telephone-based healthcare: a conversation analytic study
Geraldine M Leydon1, Katie Ekberg, Moira Kelly
1Primary Medical Care and Population Sciences, University of Southampton, Southampton, UK.
Objectives:
Medical and healthcare organisations-including the national cancer support and helpline organisation that is the subject of this study-are expected to collect and monitor information about the ethnicity of their client populations. Information about ethnicity is important for a variety of reasons, including monitoring need and targeting healthcare services appropriately. Previous survey and interview research has suggested that collecting ethnicity data from service users can be incomplete and of variable quality-pointing to a need for an improved understanding of the (interactional) difficulties involved when call-handlers ask callers about their ethnicity.
Design:
This study analyses a corpus of real-life audio-recorded calls to a national cancer helpline in the UK, focusing on the way that call-handlers collect the ethnic monitoring data.
Setting:
A major national cancer helpline in the UK.
Participants:
A sample of 273 recorded calls were recorded, of which 267 were frontline calls in which call-handlers are expected to ask the ethnicity monitoring question.
Results:
Findings suggest that caller uncertainty about how to answer the question, resistance to answering and call-handler presumption can compromise the effectiveness of ethnic monitoring. It is likely to be improved by changing how the ethnicity monitoring question is asked. Changes include avoiding open question formats to ease caller uncertainty; offering callers a rationale (account) for the question to minimise resistance and confirming the accuracy of the ethnic category recorded.
Conclusions:
We recommend that telephone-based healthcare personnel avoid asking the ethnicity monitoring question in an 'open' format; instead, a question containing a (short) standardised list can assist callers in responding. A training tool has been developed that applies this and other findings, with a view to improving ethnic monitoring.
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