Is caregiver refusal of analgesics a barrier to pediatric emergency pain management? A cross-sectional study in two Canadian centres.

OBJECTIVES: The suboptimal provision of analgesia to children in the emergency department (ED) is well-described. A yet unexplored barrier is caregiver or child refusal of analgesia. We sought to evaluate the frequency of caregiver/child acceptance of analgesia offered in the ED. METHODS: We conducted a two-centre cross-sectional study of 743 caregivers of children 4­17 years presenting to the pediatric ED with an acutely painful condition using a survey and medical record review. The primary outcome was the proportion of children/caregiver pairs who accepted analgesia in the ED. RESULTS: The median (IQR) age of children was 11 (7) years, and 339/743 (45.6%) were female. The overall survey response rate was 73% (743/1018). In the 24 hours preceding ED arrival, the median (IQR) maximal pain score rated by children and caregivers was 8/10 (4) and 5/10 (2), respectively, and 30.4% (226/743) of caregivers offered analgesia. In the ED, children reported a median (IQR) pain score of 8/10 (2) and 54.9% (408/743) were offered analgesia. When offered in the ED, analgesia was accepted by 91% (373/408). Overall, 55.7% (414/743) of children received some form of analgesia. CONCLUSIONS: Most caregivers/children accept analgesia when offered by ED personnel, suggesting refusal is not a major barrier to optimal management of children's pain and highlighting the importance of ED personnel in encouraging adequate analgesia. A large proportion of children in pain are not offered analgesia by caregivers or ED personnel. Educational strategies for recognizing and treating pain should be directed at children, caregivers, and ED personnel.

Validation of an Algorithm to Identify Infective Endocarditis in People Who Inject Drugs.

INTRODUCTION: Infective endocarditis is associated with high morbidity and mortality. Currently, there is concern that the incidence of infective endocarditis associated with people who inject drugs (PWID) is increasing. However, it is difficult to monitor population-wide trends in PWID-associated infective endocarditis, as there is no International Statistical Classification of Diseases, 10th Revision (ICD-10) code for injection drug use. To address this barrier, we sought to develop a validated algorithm using ICD-10 discharge diagnosis codes. MATERIALS AND METHODS: We constructed a cohort of patients whose hospital discharge diagnosis included infective endocarditis. We reviewed 100 patients with incident infective endocarditis from 2014 to 2016 for their infective endocarditis and injection drug use status. We calculated the operating characteristics for algorithms constructed using permutations of ICD-10 codes associated with injection drug use. We repeated this analysis in a cohort of 100 patients with incident infective endocarditis from 2009 to 2011 to examine the temporal stability of the operating characteristics of each algorithm. RESULTS: We found that a combination of hepatitis C virus, drug use, and mental/behavioral disorder codes yielded the highest sensitivity (93%) and positive predictive value (83%) of the algorithms analyzed. DISCUSSION: We have described the first algorithm, validated against chart review data, for identifying PWID-associated infective endocarditis cases using ICD-10 codes. The high sensitivity and positive predictive value indicate that this algorithm can be used for surveillance and research with confidence. CONCLUSIONS: This algorithm will enable researchers to examine epidemiological trends in PWID-associated infective endocarditis.