Immunoassay Urine Drug Testing among Patients Receiving Opioids at a Safety-Net Palliative Medicine Clinic.

BACKGROUND: Few studies have examined the use of immunoassay urine drug testing of cancer patients in palliative care clinics. OBJECTIVES: We examined the frequency of immunoassay urine drug test (UDT) abnormalities and the factors associated with aberrancy at a safety-net hospital palliative medicine clinic. METHODS: A retrospective review of the electronic medical records of consecutive eligible patients seen at the outpatient palliative medicine clinic in a resource-limited safety-net hospital system was conducted between 1 September 2015 and 31 December 2020. We collected longitudinal data on patient demographics, UDT findings, and potential predictors of aberrant results. RESULTS: Of the 913 patients in the study, 500 (55%) underwent UDT testing, with 455 (50%) having the testing within the first three visits. Among those tested within the first three visits, 125 (27%) had aberrant UDT results; 44 (35%) of these 125 patients were positive for cocaine. In a multivariable regression model analysis of predictors for aberrant UDT within the first three visits, non-Hispanic White race (odds ratio (OR) = 2.13; 95% confidence interval (CI): 1.03-4.38; p = 0.04), history of illicit drug use (OR = 3.57; CI: 1.78-7.13; p < 0.001), and history of marijuana use (OR = 7.05; CI: 3.85-12.91; p < 0.001) were independent predictors of an aberrant UDT finding. CONCLUSION: Despite limitations of immunoassay UDT, it was able to detect aberrant drug-taking behaviors in a significant number of patients seen at a safety-net hospital palliative care clinic, including cocaine use. These findings support universal UDT monitoring and utility of immunoassay-based UDT in resource-limited settings.

Adherence to Opioid Patient Prescriber Agreements at a Safety Net Hospital.

Patient prescriber agreements, also known as opioid contracts or opioid treatment agreements, have been recommended as a strategy for mitigating non-medical opioid use (NMOU). The purpose of our study was to characterize the proportion of patients with PPAs, the rate of non-adherence, and clinical predictors for PPA completion and non-adherence. This retrospective study covered consecutive cancer patients seen at a palliative care clinic at a safety net hospital between 1 September 2015 and 31 December 2019. We included patients 18 years or older with cancer diagnoses who received opioids. We collected patient characteristics at consultation and information regarding PPA. The primary purpose was to determine the frequency and predictors of patients with a PPA and non-adherence to PPAs. Descriptive statistics and multivariable logistic regression models were used for the analysis. The survey covered 905 patients having a mean age of 55 (range 18-93), of whom 474 (52%) were female, 423 (47%) were Hispanic, 603 (67%) were single, and 814 (90%) had advanced cancer. Of patients surveyed, 484 (54%) had a PPA, and 50 (10%) of these did not adhere to their PPA. In multivariable analysis, PPAs were associated with younger age (odds ratio [OR] 1.44; p = 0.02) and alcohol use (OR 1.72; p = 0.01). Non-adherence was associated with males (OR 3.66; p = 0.007), being single (OR 12.23; p = 0.003), tobacco (OR 3.34; p = 0.03) and alcohol use (OR 0.29; p = 0.02), contact with persons involved in criminal activity (OR 9.87; p < 0.001), use for non-malignant pain (OR 7.45; p = 0.006), and higher pain score (OR 1.2; p = 0.01). In summary, we found that PPA non-adherence occurred in a substantial minority of patients and was more likely in patients with known NMOU risk factors. These findings underscore the potential role of universal PPAs and systematic screening of NMOU risk factors to streamline care.

Frequency and predictors of patient deviation from prescribed opioids and barriers to opioid pain management in patients with advanced cancer.

CONTEXT: Approximately 80% of patients with advanced cancer report pain and receive opioids. Information is limited about deviations from prescribed opioid doses and barriers to pain control, but poor opioid adherence has been reported in 49%-70% of patients. OBJECTIVES: To evaluate the frequency and severity of self-reported opioid deviation and barriers to opioid pain management in outpatients with advanced cancer. METHODS: We surveyed 198 patients and collected pain scores (0-10), prescribed opioid dose, confidential patient-reported opioid prescription dose and intake (as long as there was no severe opioid deviation), barriers to pain management (Barriers Questionnaire-II [BQ-II]) scores, and adherence scores. Opioid deviation was defined as <70% or >130% of the prescribed dose. RESULTS: Median patient age was 55 years; 91 (46%) were female. Median pain intensity and morphine equivalent daily dose were 4 (interquartile range=3-7) and 120mg (interquartile range=45-270mg), respectively. Prescribed and patient-reported prescribed doses were highly correlated for regular (r=0.90, P<0.001) and regular plus breakthrough opioid intake (r=0.94, P<0.001). Nineteen (9.6%) patients deviated. Deviation was more frequent in males (P=0.039) and nonwhites (P=0.0270). Nonwhite patients had higher scores on the BQ-II than white patients (P=0.038). Low adherence scores were significantly associated with higher BQ-II scores (1.99±0.80) for lower motivation score vs. 1.61±0.77 for higher score, P=0.007; and 2.13±0.79 for lower knowledge score vs. 1.57±0.72 for higher score, P=0.001. CONCLUSION: Very few patients reported dose deviations, which were mostly toward lower dose. More research is necessary to better characterize the frequency and predictors of opioid deviation in this population.