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1.
J Surg Educ ; 78(5): 1660-1665, 2021.
Article in English | MEDLINE | ID: mdl-33839079

ABSTRACT

OBJECTIVE: To evaluate institutional opioid prescribing patterns following percutaneous fixation of pediatric supracondylar humerus fractures before and after implementation of a standardized discharge order set. DESIGN: A retrospective review of patients who underwent closed reduction and percutaneous skeletal fixation of a Type II or III supracondylar humerus fracture in 2017 (prior to pain protocol implementation) and again in 2019 (after pain protocol implementation) SETTING: Single Tertiary Care Children's Hospital PARTICIPANTS: In total, 106 patients met inclusion criteria between years 2017 (n = 49) and 2019 (n = 57). Exclusion criteria included miscoded patients, open fractures, patients who presented with vascular injury or nerve palsy, polytrauma patients with multiple fractures in the same upper extremity, and supracondylar humerus fractures that underwent an open procedure. RESULTS: There were no significant differences between inpatient pain scores (p = 0.91) and MDE prescribed (p = 0.75) between the 2 cohorts. In 2017, large variability was noted in day supply of opioids (0-11.4 days) and MDE (0-8.45 mg/kg), with significant differences between prescribing patterns of junior and senior level residents (mean day supply of opioids (p = 0.045), mean MDE prescribed on discharge (p = 0.001)). After implementation of a standardized opioid discharge order set, there was a tenfold increase in the number of patients discharged without an opioid prescription (2017: 4%, 2019: 44%). Additionally, any discrepancies between prescribing practices of junior and senior level residents were eliminated (mean day supply of opioids (p = 0.65), mean MDE prescribed on discharge (p = 0.69)). CONCLUSIONS: The introduction of a standardized post-operative opioid discharge order set led to a 10-fold increase in the number of patients discharged without an opioid prescription. Additionally, the order set decreased the variability in the prescribing patterns of discharge opioid medications without change in pain control. The resident prescribing variability based upon level of experience resolved with the use of the order set.


Subject(s)
Analgesics, Opioid , Patient Discharge , Analgesics, Opioid/therapeutic use , Child , Humans , Humerus , Pain, Postoperative , Practice Patterns, Physicians' , Retrospective Studies
2.
J Arthroplasty ; 31(3): 567-72, 2016 Mar.
Article in English | MEDLINE | ID: mdl-26706837

ABSTRACT

BACKGROUND: The goal of this study was to compare postoperative medical comanagement of total hip arthroplasty and total knee arthroplasty patients using a hospitalist (H) and nonhospitalist (NH) model at a single teaching institution to determine the clinical and economic impact of the hospitalist comanagement. METHODS: We retrospectively reviewed the records of 1656 patients who received hospitalist comanagement with 1319 patients who did not. The NH and H cohorts were compared at baseline via chi-square test for the American Society of Anesthesiologists classification, the t test for age, and the Wilcoxon test for the unadjusted Charlson Comorbidity Index score and the age-adjusted Charlson Comorbidity Index score. Chi-square test was used to compare the postoperative length of stay, readmission rate at 30 days after surgery, diagnoses present on admission, new diagnoses during admission, tests ordered postoperatively, total direct cost, and discharge location. RESULTS: The H cohort gained more new diagnoses (P < .001), had more studies ordered (P < .001), had a higher cost of hospitalization (P = .002), and were more likely to be discharged to a skilled nursing facility (P < .001). The H cohort also had a lower length of stay (P < .001), but we believe evolving techniques in both pain control and blood management likely influenced this. There was no significant difference in readmissions. CONCLUSION: Any potential benefit of a hospitalist comanagement model for this patient population may be outweighed by increased cost.


Subject(s)
Arthroplasty, Replacement, Hip/economics , Arthroplasty, Replacement, Knee/economics , Hospitalists/economics , Hospitalists/organization & administration , Hospitalization/economics , Orthopedics/economics , Aged , Chi-Square Distribution , Comorbidity , Female , Humans , Length of Stay/economics , Male , Middle Aged , Patient Discharge , Patient Readmission , Retrospective Studies , Workforce
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