Literature DB >> 33410866

Frequency of and Factors Associated With Nonmedical Opioid Use Behavior Among Patients With Cancer Receiving Opioids for Cancer Pain.

Sriram Yennurajalingam1, Joseph Arthur1, Suresh Reddy1, Tonya Edwards1, Zhanni Lu1, Aline Rozman de Moraes1, Susamma M Wilson1, Elif Erdogan1, Manju P Joy1, Shirley Darlene Ethridge1, Leela Kuriakose1, Jimi S Malik1, John M Najera1, Saima Rashid1, Yu Qian1, Michal J Kubiak1, Kristy Nguyen, Jimin Wu2, David Hui1, Eduardo Bruera1.   

Abstract

IMPORTANCE: One of the main aims of research on nonmedical opioid use (NMOU) is to reduce the frequency of NMOU behaviors through interventions such as universal screening, reduced opioid exposure, and more intense follow-up of patients with elevated risk. The absence of data on the frequency of NMOU behavior is the major barrier to conducting research on NMOU.
OBJECTIVE: To determine the overall frequency of and the independent predictors for NMOU behavior. DESIGN, SETTING, AND PARTICIPANTS: In this prognostic study, 3615 patients with cancer were referred to the supportive care center at MD Anderson Cancer Center from March 18, 2016, to June 6, 2018. Patients were eligible for inclusion if they had cancer and were taking opioids for cancer pain for at least 1 week. Patients were excluded if they had no follow-up within 3 months of initial consultation, did not complete the appropriate questionnaire, or did not have scheduled opioid treatments. After exclusion, a total of 1554 consecutive patients were assessed for NMOU behavior using established diagnostic criteria. All patients were assessed using the Edmonton Symptom Assessment Scale, the Screener and Opioid Assessment for Patients with Pain (SOAPP), and the Cut Down, Annoyed, Guilty, Eye Opener-Adapted to Include Drugs (CAGE-AID) survey. Data were analyzed from January 6 to September 25, 2020.
RESULTS: A total of 1554 patients (median [interquartile range (IQR)] age, 61 [IQR, 52-69] years; 816 women [52.5%]; 1124 White patients [72.3%]) were evaluable for the study, and 299 patients (19.2%) had 1 or more NMOU behaviors. The median (IQR) number of NMOU behaviors per patient was 1 (IQR, 1-3). A total of 576 of 745 NMOU behaviors (77%) occurred by the first 2 follow-up visits. The most frequent NMOU behavior was unscheduled clinic visits for inappropriate refills (218 of 745 [29%]). Eighty-eight of 299 patients (29.4%) scored 7 or higher on SOAPP, and 48 (16.6%) scored at least 2 out of 4 points on the CAGE-AID survey. Results from the multivariate model suggest that marital status (single, hazard ratio [HR], 1.58; 95% CI, 1.15-2.18; P = .005; divorced, HR, 1.43; 95% CI, 1.01-2.03; P = .04), SOAPP score (positive vs negative, HR, 1.35; 95% CI, 1.04-1.74; P = .02), morphine equivalent daily dose (MEDD) (HR, 1.003; 95% CI, 1.002-1.004; P < .001), and Edmonton Symptom Assessment Scale pain level (HR, 1.11; 95% CI, 1.06-1.16; P < .001) were independently associated with the presence of NMOU behavior. In recursive partition analysis, single marital status, MEDD greater than 50 mg, and SOAPP scores greater than 7 were associated with a higher risk (56%) for the presence of NMOU behavior. CONCLUSIONS AND RELEVANCE: This prognostic study of patients with cancer taking opioids for cancer pain found that 19% of patients developed NMOU behavior within a median duration of 8 weeks after initial supportive care clinic consultation. Marital status (single or divorced), SOAPP score greater than 7, higher levels of pain severity, and MEDD level were independently associated with NMOU behavior. This information will assist clinicians and investigators designing clinical and research programs in this important field.

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Year:  2021        PMID: 33410866      PMCID: PMC7791402          DOI: 10.1001/jamaoncol.2020.6789

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  6 in total

1.  Compassion Inequities and Opioid Use Disorder: A Matched Case-Control Analysis Examining Inpatient Management of Cancer-Related Pain for Patients With Opioid Use Disorder.

Authors:  Sarah A Singh; Rachel A Moreland; Wei Fang; Parvez Shaikh; John Michael Perez; Ann M Morris; Basem Dahshan; Rebecca F Krc; Dilip Chandran; Monika Holbein
Journal:  J Pain Symptom Manage       Date:  2021-05-11       Impact factor: 5.576

Review 2.  A systematic review of assessment approaches to predict opioid misuse in people with cancer.

Authors:  Robyn Keall; Paul Keall; Carly Kiani; Tim Luckett; Richard McNeill; Melanie Lovell
Journal:  Support Care Cancer       Date:  2022-02-15       Impact factor: 3.359

3.  Frequency and characteristics of advanced cancer patients with COVID + ve status among inpatient supportive care consults during the pandemic: experience from a tertiary cancer center.

Authors:  Sriram Yennurajalingam; Zhanni Lu; Minxing Chen; Eduardo Bruera
Journal:  Support Care Cancer       Date:  2021-10-12       Impact factor: 3.603

Review 4.  Opioid Therapy in Cancer Patients and Survivors at Risk of Addiction, Misuse or Complex Dependency.

Authors:  Joseph V Pergolizzi; Peter Magnusson; Paul J Christo; Jo Ann LeQuang; Frank Breve; Kailyn Mitchell; Giustino Varrassi
Journal:  Front Pain Res (Lausanne)       Date:  2021-11-16

5.  Predicting at-risk opioid use three months after ed visit for trauma: Results from the AURORA study.

Authors:  Brittany E Punches; Uwe Stolz; Caroline E Freiermuth; Rachel M Ancona; Samuel A McLean; Stacey L House; Francesca L Beaudoin; Xinming An; Jennifer S Stevens; Donglin Zeng; Thomas C Neylan; Gari D Clifford; Tanja Jovanovic; Sarah D Linnstaedt; Laura T Germine; Kenneth A Bollen; Scott L Rauch; John P Haran; Alan B Storrow; Christopher Lewandowski; Paul I Musey; Phyllis L Hendry; Sophia Sheikh; Christopher W Jones; Michael C Kurz; Nina T Gentile; Meghan E McGrath; Lauren A Hudak; Jose L Pascual; Mark J Seamon; Erica Harris; Anna M Chang; Claire Pearson; David A Peak; Roland C Merchant; Robert M Domeier; Niels K Rathlev; Brian J O'Neil; Leon D Sanchez; Steven E Bruce; Robert H Pietrzak; Jutta Joormann; Deanna M Barch; Diego A Pizzagalli; Jordan W Smoller; Beatriz Luna; Steven E Harte; James M Elliott; Ronald C Kessler; Kerry J Ressler; Karestan C Koenen; Michael S Lyons
Journal:  PLoS One       Date:  2022-09-23       Impact factor: 3.752

6.  "Doctor and pharmacy shopping": A fading signal for prescription opioid use monitoring?

Authors:  Chris Delcher; Daniel R Harris; Changwe Park; Gail K Strickler; Jeffery Talbert; Patricia R Freeman
Journal:  Drug Alcohol Depend       Date:  2021-02-15       Impact factor: 4.492

  6 in total

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