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Pediatr Emerg Care ; 34(1): 42-46, 2018 Jan.
Article in English | MEDLINE | ID: mdl-27253657

ABSTRACT

OBJECTIVES: There are no recent national data on analgesic use for pain treatment in children. Our objective was to determine if there is adequate pain treatment for children in US emergency departments (EDs) and determine predictors of nonopioid and opioid analgesic administration. METHODS: Children younger than 18 years with the diagnosis of extremity fracture, appendicitis, or urinary tract stones were obtained from the National Health Ambulatory Medical Care Survey (NHAMCS) (2006-2010) and analyzed using logistic regression for complex samples. There were 2 analyses: (1) those who received analgesics versus those who did not; and (2) of those who received analgesics, opioid versus nonopioid analgesic use. RESULTS: There were 1341 records analyzed representing 4.5 million ED visits. Those who received analgesics were more likely to be older than age of 3 years (P = 0.05), be discharged from the hospital (odds ratio [OR], 1.72; 95% confidence interval [CI], 1.04-2.94), arrive between noon and midnight (OR, 0.1.85; CI, 1.12-3.03), and have a higher pain rating (P < 0.01). Children who received opioid analgesics were more likely to live outside the Northeast (P = 0.04), require admission (OR, 2.95; CI, 1.09-7.98), have a higher acuity triage level (OR, 1.79; CI, 1.04-3.06), have higher pain scores (P < 0.01), and have private insurance (OR, 1.75; CI, 1.06-2.94). CONCLUSIONS: There is still a lot of room for improvement of pediatric pain control in US EDs. We aim to apply this information toward direct physician and nursing education interventions, including the recognition of age appropriate pain cues, and parental information and guidance to improve pediatric pain treatment in US EDs.


Subject(s)
Analgesics/therapeutic use , Emergency Service, Hospital/statistics & numerical data , Pain/drug therapy , Practice Patterns, Physicians'/statistics & numerical data , Adolescent , Child , Child, Preschool , Cross-Sectional Studies , Databases, Factual , Female , Health Care Surveys , Humans , Infant , Male , Pain Management/statistics & numerical data , United States
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