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ObjectiveMaking the diagnosis of asthma is challenging. Guidelines recommend that clinicians identify a group at 'high probability' of asthma. High probability, however, is not numerically defined giving rise to uncertainty. The aim of this work was to build consensus on what constitutes a high probability of asthma in primary care. High probability was defined as the probability threshold at which there is enough information to make a firm diagnosis of asthma, and a subsequent negative test would not alter that opinion (assumed to be a false negative).DesignMixed-methods study.SettingA consensus workshop using modified nominal group technique was held during an international respiratory conference.ParticipantsInternational conference attendees eligible if they had knowledge/experience of working in primary care, respiratory medicine and spoke English.MethodsParticipants took part in facilitated discussions and voted over three rounds on what constituted a high probability of asthma diagnosis. The workshop was audio-recorded, transcribed and qualitatively analysed.ResultsBased on final votes, the mean value for a high probability of asthma in primary care was 75% (SD 7.6), representing a perceived trade-off between limiting the number of false positives (more likely if a lower threshold was used) and pragmatism on the basis that first-line preventive therapies (ie, low-dose inhaled corticosteroids) are relatively low risk. The need to review response to treatment was strongly emphasised for detecting non-responders and reviewing the diagnosis.ConclusionA consensus probability of 75% was the threshold at which the primary care participants in this workshop felt confident to establish the diagnosis of asthma, albeit with the caveat that a review of treatment response was essential. Contextual factors, including availability and timing of tests and the ease with which patients could be reviewed, influenced participants' decision making.

Original publication

DOI

10.1136/bmjopen-2019-034559

Type

Journal article

Journal

BMJ open

Publication Date

04/2020

Volume

10

Addresses

Asthma UK Centre for Applied Research, Usher Institute, The University of Edinburgh, Edinburgh, UK luke.daines@ed.ac.uk.

Keywords

Humans, Asthma, Adrenal Cortex Hormones, Probability, Consensus, Primary Health Care