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Development of a tool for coding safety-netting behaviours in primary care: a mixed-methods study using existing UK consultation recordings

BACKGROUND: Safety netting is recommended in a variety of clinical settings, yet there are no tools to record clinician safety-netting communication behaviours. AIM: To develop and assess the inter-rater reliability (IRR) of a coding tool designed to assess safety-netting communication behaviours in...

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Detalles Bibliográficos
Autores principales: Edwards, Peter J, Ridd, Matthew J, Sanderson, Emily, Barnes, Rebecca K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal College of General Practitioners 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6863675/
https://www.ncbi.nlm.nih.gov/pubmed/31740456
http://dx.doi.org/10.3399/bjgp19X706589
Descripción
Sumario:BACKGROUND: Safety netting is recommended in a variety of clinical settings, yet there are no tools to record clinician safety-netting communication behaviours. AIM: To develop and assess the inter-rater reliability (IRR) of a coding tool designed to assess safety-netting communication behaviours in primary care consultations. DESIGN AND SETTING: A mixed-methods study using an existing dataset of video-and audio-recorded UK primary care consultations. METHOD: Key components that should be assessed in a coding tool were identified using the published literature and relevant guidelines. An iterative approach was utilised to continuously refine and generate new codes based on the application to real-life consultations. After the codebook had been generated, it was applied to 35 problems in 24 consultations independently by two coders. IRR scores were then calculated. RESULTS: The tool allows for the identification and quantification of the key elements of safety-netting advice including: who initiates the advice and at which stage of the consultation; the number of symptoms or conditions the patient is advised to look out for; what action patients should take and how urgently; as well as capturing how patients respond to such advice plus important contextual codes such as the communication of diagnostic uncertainty, the expected time course of an illness, and any follow-up plans. The final tool had substantial levels of IRR with the mean average agreement for the final tool being 88% (κ = 0.66). CONCLUSION: The authors have developed a novel tool that can reliably code the extent of clinician safety-netting communication behaviours.