Background Patients should be prescribed medication based on their medical condition, without prejudice because of their race, gender, or primary language. However, previous research has shown that men are prescribed more medication than women, patients who are White are prescribed more medications than patients who are non-White, and English-speaking people are prescribed more medications than non-English-speaking patients. However, it is unclear whether these differences also occur in pediatric orthopaedic populations.Questions/purposes We asked: (1) Was the amount of opiates prescribed at discharge associated with patient age, gender, race, or primary language? (2) Did the amount of opiates prescribed to patients at discharge change from 2010 to 2020? Methods In a single center, between January 2010 and December 2019, we treated 331 patients younger than 18 years surgically for upper and lower long-bone extremity fractures. Patients were considered eligible if they had a nonpathologic fracture. Femur fractures were not included. Based on these criteria, all patients were eligible. The mean age was 12 6 4 years. The mean weight was 57 6 33 kg. Among these patients, 76% (253 of 331) were boys and 24% (78 of 331) were girls. From the hospital discharge records, we recorded the amount of opiates prescribed at the time of discharge as measured by morphine milligram equivalents (MMEs). We examined the association of age, gender, race, primary language, weight, and year of treatment using this measurement. We determined a patient's race retrospectively by information given by their parents at time of admission. We did not attempt to contact patients to obtain more nuanced information about their racial background. These data were obtained from the electronic health record. The Wilcoxon rank sum test, t-test, or chi-square test was used to assess associations depending on the distribution of variables, as appropriate. Because opioids as measured in MMEs is zeroinflated, a two-part model analysis was used to adjust for confounding variables. One component of the model was for the probability of having any opiate prescription and another was for the mean number of opioids received. Findings were considered statistically significant if p values were < 0.05.Each author certifies that there are no funding or commercial associations (consultancies, stock ownership, equity interest, patent/licensing arrangements, etc.) that might pose a conflict of interest in connection with the submitted article related to the author or any immediate family members. All ICMJE Conflict of Interest Forms for authors and Clinical Orthopaedics and Related Research® editors and board members are on file with the publication and can be viewed on request.
