Literature DB >> 30298419

Post-Discharge Opioid Prescribing Patterns and Risk Factors in Patients Undergoing Elective Colon and Rectal Surgery Without Complications.

Jeffrey S Scow1, Nicholas M Tomhave2, Jenna K Lovely3, Grant M Spears4, Marianne Huebner5, David W Larson6.   

Abstract

BACKGROUND: Few studies have examined opioid usage in the post-discharge period. The primary aim of this study was to evaluate the need for post-discharge opioids in a unique set of patients: those undergoing colorectal operations and experiencing no surgical complications. The secondary aim was to examine the accuracy of the Opioid Risk Tool (ORT) to predict the need for additional opioid prescriptions. Our hypotheses were that few patients would require post-discharge opioids and that the ORT would predict patients requiring post-discharge opioids.
METHODS: All patients undergoing elective colorectal surgery between January 2012 and December 2014 that did not experience NSQIP complications within 30 days or receive an opioid prescription in the 2 weeks prior to operation were reviewed. ORT score was calculated for all patients. Patients requiring post-discharge opioids within 1 year were compared to those not receiving additional opioids after discharge.
RESULTS: There were 367 patients that met inclusion criteria and 56 (15%) received post-discharge opioids. Opioid use in the year prior to surgery was the only significant risk factor to receive post-discharge opioids. Opioids were prescribed for three distinct reasons by three groups of prescribers. The ORT did not accurately predict need for post-discharge opioids.
CONCLUSIONS: Even among patients without complications, 15% received post-discharge opioid prescriptions. Previous opioid use within the year prior to surgery was a major risk factor for additional prescriptions. The timing and prescriber's specialty are impacted by the indication for post-discharge opioids. The ORT did not predict which patients would receive post-discharge opioids.

Entities:  

Keywords:  Colorectal surgery; NSQIP; Opioid Risk Tool

Year:  2018        PMID: 30298419     DOI: 10.1007/s11605-018-3941-4

Source DB:  PubMed          Journal:  J Gastrointest Surg        ISSN: 1091-255X            Impact factor:   3.452


  30 in total

1.  A pilot cohort study of the determinants of longitudinal opioid use after surgery.

Authors:  Ian Carroll; Peter Barelka; Charlie Kiat Meng Wang; Bing Mei Wang; Matthew John Gillespie; Rebecca McCue; Jarred W Younger; Jodie Trafton; Keith Humphreys; Stuart B Goodman; Fredrick Dirbas; Richard I Whyte; Jessica S Donington; Walter B Cannon; Sean Charles Mackey
Journal:  Anesth Analg       Date:  2012-06-22       Impact factor: 5.108

2.  The DIRE score: predicting outcomes of opioid prescribing for chronic pain.

Authors:  Miles J Belgrade; Cassandra D Schamber; Bruce R Lindgren
Journal:  J Pain       Date:  2006-09       Impact factor: 5.820

Review 3.  Failure of enforcement controlled substance laws in health policy for prescribing opiate medications: a painful assessment of morbidity and mortality.

Authors:  Norman S Miller
Journal:  Am J Ther       Date:  2006 Nov-Dec       Impact factor: 2.688

4.  Wide Variation and Overprescription of Opioids After Elective Surgery.

Authors:  Cornelius A Thiels; Stephanie S Anderson; Daniel S Ubl; Kristine T Hanson; Whitney J Bergquist; Richard J Gray; Halena M Gazelka; Robert R Cima; Elizabeth B Habermann
Journal:  Ann Surg       Date:  2017-10       Impact factor: 12.969

5.  Predicting aberrant behaviors in opioid-treated patients: preliminary validation of the Opioid Risk Tool.

Authors:  Lynn R Webster; Rebecca M Webster
Journal:  Pain Med       Date:  2005 Nov-Dec       Impact factor: 3.750

6.  A comparison of common screening methods for predicting aberrant drug-related behavior among patients receiving opioids for chronic pain management.

Authors:  Todd M Moore; Ted Jones; Joe H Browder; Susan Daffron; Steven D Passik
Journal:  Pain Med       Date:  2009-11       Impact factor: 3.750

7.  Development of a self-report screening instrument for assessing potential opioid medication misuse in chronic pain patients.

Authors:  Laura L Adams; Robert J Gatchel; Richard C Robinson; Peter Polatin; Noor Gajraj; Martin Deschner; Carl Noe
Journal:  J Pain Symptom Manage       Date:  2004-05       Impact factor: 3.612

8.  Preoperative prediction of severe postoperative pain.

Authors:  J C Kalkman; K Visser; J Moen; J G Bonsel; E D Grobbee; M K G Moons
Journal:  Pain       Date:  2003-10       Impact factor: 6.961

9.  Incidence of and Risk Factors for Chronic Opioid Use Among Opioid-Naive Patients in the Postoperative Period.

Authors:  Eric C Sun; Beth D Darnall; Laurence C Baker; Sean Mackey
Journal:  JAMA Intern Med       Date:  2016-09-01       Impact factor: 44.409

10.  Opioid Use and Storage Patterns by Patients after Hospital Discharge following Surgery.

Authors:  Karsten Bartels; Lena M Mayes; Colleen Dingmann; Kenneth J Bullard; Christian J Hopfer; Ingrid A Binswanger
Journal:  PLoS One       Date:  2016-01-29       Impact factor: 3.240

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  1 in total

1.  Application of risk assessment tools to predict opioid usage after shoulder surgery.

Authors:  Laila H Khoury; Josh Stephens; Shimron Brown; Kiran Chatha; Sarah Girshfeld; Juan Manuel Lozano Leon; Alessia Lavin; Vani J Sabesan
Journal:  JSES Int       Date:  2022-07-03
  1 in total

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