Qualitative analysis of clinician experience in utilising the BuRN Tool (Burns Risk assessment for Neglect or abuse Tool) in clinical practice

Abstract Introduction The BuRN-Tool (Burns Risk assessment for Neglect or abuse Tool) is a clinical prediction tool (CPT) aiding the identification of child maltreatment in children with burn injuries. The tool has been derived from systematic reviews and epidemiological studies, validated and is under-going an implementation evaluation. Clinician opinion on the use of this CPT is a key part of its evaluation. Objectives To explore the experience of emergency clinicians use of the BuRN-Tool in an emergency department (ED). Methods Three focus groups were conducted over a six-week period by the research team in the ED in the University Hospital of Wales; 25 emergency clinicians attended. A semi-structured approach was taken with pre-determined open-ended questions asked followed by a series of case vignettes to which the CPT was applied. The focus groups were recorded and transcribed verbatim. Thematic analysis was conducted for identification of pre-set and emergent themes. All data were double-coded. Results All participants said that it was acceptable to use the BuRN-Tool to aid in the decision-making process surrounding child maltreatment. All participants said that the BuRN-Tool was helpful and straight forward to use. All participants said that the tool was clinically beneficial, particularly for junior staff and those who do not always work in a paediatric environment. The clinical vignettes identified subjectivity in interpretation questions around adequate supervision, previous social care involvement and full thickness burns. This resulted in some variation in scoring. Conclusions This study confirms that the BuRN-Tool is acceptable in an ED setting. The focus groups demonstrated a homogenous and positive attitude regarding the layout, benefits and use of the BuRN-Tool. The subjective interpretation of some variables accounts for the non-uniformity in the scores generated. Clarification of questions will be made.