Prevalence and Predictors of Prolonged Post-surgical Opioid Use: a Prospective Observational Cohort Study
NCT ID: NCT02571400
Last Updated: 2017-05-10
Study Results
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Basic Information
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COMPLETED
1013 participants
OBSERVATIONAL
2015-10-31
2016-10-31
Brief Summary
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Detailed Description
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Increasing numbers of patients are discharged from hospital post-surgery with opioids for the management of their acute post-surgical pain. Opioids have proven efficacy for the management of acute post-surgical pain, but can cause significant harm when used long-term for non-cancer pain. Evidence suggests that post-surgical opioid use continues in some patients for years after surgery.
Identification of patients at risk of prolonged opioid use after surgery may assist in reducing the adverse outcomes associated with long-term opioid use. Pre-operative risk stratification tools may be of use in identifying surgical patients at risk of long-term opioid use. Validated tools are widely used to identify patients at high risk of opioid misuse in the chronic pain setting, but currently there is no optimal method to predict patients at risk of chronic opioid use after surgery.
Existing studies have found that a wide range of patient characteristics and psychiatric comorbidities are associated with long-term opioid use in a post-surgical setting.
There are 5 primary study procedures in the investigators research project:
1. Enrolment in the study: Subjects will be recruited and enrolled at the pre-operative admission clinic and day surgery unit at St Vincent's Private Hospital, Sydney. This study aims to enrol 1000 patients.
2. Informed consent: Patients who meet inclusion criteria, and agree to enrol in the study will be asked to read and sign an informed consent document.
3. Initial questionnaire: Trained nursing staff will administer an initial questionnaire to all patients participating in the study. This questionnaire will gather data regarding potential predictors of delayed opiate cessation including age, sex, operation type, pre-operative opioid use, depression traits, anxiety traits, addictive traits, perceived susceptibility to addiction, average hours of sleep per night, history of chronic pain, and perceived general health.
4. Follow-up questionnaire: At approximately 90 days post-surgery, a follow-up questionnaire will be administered to all enrolled subjects via phone call or email. This questionnaire will determine current pain scores and details regarding current pain medication usage.
5. Statistical analysis: Once data collection is complete, identifying details will be removed, and data will be entered into a password-protected electronic database. The investigators will analyse data from all patients and determine the prevalence of delayed opioid cessation, and which questionnaire items independently predict delayed opioid cessation.
The investigators primary study objective is to determine the prevalence of prolonged post-surgical opioid use, defined by our study as patients taking opioids \>90 days post-surgery. The investigators secondary objective is to identify patient-related factors that are independently associated with prolonged post-surgical opioid use. These factors may be used to develop a pre-operative screening tool for patients undergoing surgery, in order to assign a level of risk for chronic post-surgical opioid use.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Patients scheduled to undergo surgery
Patients scheduled to undergo surgery at St Vincent's Private Hospital Sydney
Continued use of opioid analgesics >90 days post-surgery
Exposure of interest: continued use of opioid analgesics \>90 days post-surgery
Interventions
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Continued use of opioid analgesics >90 days post-surgery
Exposure of interest: continued use of opioid analgesics \>90 days post-surgery
Eligibility Criteria
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Inclusion Criteria
* Able to give written informed consent
* Willing to participate and comply with the study
* Scheduled to undergo surgery at St Vincent's Private Hospital, and attending the pre-admission clinic or day surgery unit
Exclusion Criteria
* Scheduled to undergo surgery relating to malignancy
* Surgical procedures completed under local anaesthetic
* Minimally invasive procedures including gastroscopy, colonoscopy, bronchoscopy, cardioversion or transoesophageal echo
* Patients who were unable to complete study questionnaires due to psychological illness, medical condition or significant language barrier were excluded from the study.
18 Years
ALL
No
Sponsors
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St Vincent's Hospital, Sydney
OTHER
University of Notre Dame Australia
OTHER
Responsible Party
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Natasha Stark
Medical student
Principal Investigators
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Jennifer A Stevens, MBChB
Role: PRINCIPAL_INVESTIGATOR
St Vincent's Hospital, Sydney
Locations
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St Vincent's Private Hospital, Sydney
Sydney, New South Wales, Australia
Countries
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References
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Hollingworth SA, Gray PD, Hall WD, Najman JM. Opioid analgesic prescribing in Australia: a focus on gender and age. Pharmacoepidemiol Drug Saf. 2015 Jun;24(6):628-36. doi: 10.1002/pds.3767. Epub 2015 Apr 1.
Chou R, Fanciullo GJ, Fine PG, Adler JA, Ballantyne JC, Davies P, Donovan MI, Fishbain DA, Foley KM, Fudin J, Gilson AM, Kelter A, Mauskop A, O'Connor PG, Passik SD, Pasternak GW, Portenoy RK, Rich BA, Roberts RG, Todd KH, Miaskowski C; American Pain Society-American Academy of Pain Medicine Opioids Guidelines Panel. Clinical guidelines for the use of chronic opioid therapy in chronic noncancer pain. J Pain. 2009 Feb;10(2):113-30. doi: 10.1016/j.jpain.2008.10.008.
Hah JM, Mackey S, Barelka PL, Wang CK, Wang BM, Gillespie MJ, McCue R, Younger JW, Trafton J, Humphreys K, Goodman SB, Dirbas FM, Schmidt PC, Carroll IR. Self-loathing aspects of depression reduce postoperative opioid cessation rate. Pain Med. 2014 Jun;15(6):954-64. doi: 10.1111/pme.12439.
Singh JA, Lewallen DG. Predictors of use of pain medications for persistent knee pain after primary Total Knee Arthroplasty: a cohort study using an institutional joint registry. Arthritis Res Ther. 2012 Nov 16;14(6):R248. doi: 10.1186/ar4091.
Singh JA, Lewallen DG. Predictors of pain medication use for arthroplasty pain after revision total knee arthroplasty. Rheumatology (Oxford). 2014 Oct;53(10):1752-8. doi: 10.1093/rheumatology/ket443. Epub 2014 Jan 22.
Carroll I, Barelka P, Wang CK, Wang BM, Gillespie MJ, McCue R, Younger JW, Trafton J, Humphreys K, Goodman SB, Dirbas F, Whyte RI, Donington JS, Cannon WB, Mackey SC. A pilot cohort study of the determinants of longitudinal opioid use after surgery. Anesth Analg. 2012 Sep;115(3):694-702. doi: 10.1213/ANE.0b013e31825c049f. Epub 2012 Jun 22.
Singh JA, Lewallen D. Predictors of pain and use of pain medications following primary Total Hip Arthroplasty (THA): 5,707 THAs at 2-years and 3,289 THAs at 5-years. BMC Musculoskelet Disord. 2010 May 13;11:90. doi: 10.1186/1471-2474-11-90.
Sun EC, Darnall BD, Baker LC, Mackey S. Incidence of and Risk Factors for Chronic Opioid Use Among Opioid-Naive Patients in the Postoperative Period. JAMA Intern Med. 2016 Sep 1;176(9):1286-93. doi: 10.1001/jamainternmed.2016.3298.
Macintyre PE, Huxtable CA, Flint SL, Dobbin MD. Costs and consequences: a review of discharge opioid prescribing for ongoing management of acute pain. Anaesth Intensive Care. 2014 Sep;42(5):558-74. doi: 10.1177/0310057X1404200504.
Alam A, Gomes T, Zheng H, Mamdani MM, Juurlink DN, Bell CM. Long-term analgesic use after low-risk surgery: a retrospective cohort study. Arch Intern Med. 2012 Mar 12;172(5):425-30. doi: 10.1001/archinternmed.2011.1827.
Clarke H, Soneji N, Ko DT, Yun L, Wijeysundera DN. Rates and risk factors for prolonged opioid use after major surgery: population based cohort study. BMJ. 2014 Feb 11;348:g1251. doi: 10.1136/bmj.g1251.
Goesling J, Moser SE, Zaidi B, Hassett AL, Hilliard P, Hallstrom B, Clauw DJ, Brummett CM. Trends and predictors of opioid use after total knee and total hip arthroplasty. Pain. 2016 Jun;157(6):1259-1265. doi: 10.1097/j.pain.0000000000000516.
Quinn PD, Hur K, Chang Z, Krebs EE, Bair MJ, Scott EL, Rickert ME, Gibbons RD, Kroenke K, D'Onofrio BM. Incident and long-term opioid therapy among patients with psychiatric conditions and medications: a national study of commercial health care claims. Pain. 2017 Jan;158(1):140-148. doi: 10.1097/j.pain.0000000000000730.
Other Identifiers
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UNDAustralia
Identifier Type: -
Identifier Source: org_study_id
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