Concurrent Opioid and Benzodiazepine Prescriptions Among Older Women Diagnosed With Breast Cancer.
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ABSTRACT:
SUBMITTER: Check DK
PROVIDER: S-EPMC7357325 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
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Project description:BackgroundPatients with cancer-related pain are underrepresented in the opioid literature despite high opioid exposure and numerous risk factors for adverse opioid outcomes, including unnecessary persistent opioid use. The objective of this study was to determine the extent, historical trends, and predictors of new-onset persistent opioid use among older adult women after active breast cancer treatment.MethodsUsing Surveillance, Epidemiology, and End Results-Medicare data for opioid-naive women diagnosed with stage 0 to III breast cancer at the age of 66 to 90 years between 2008 and 2013, this study estimated overall and quarterly adjusted probabilities of new-onset persistent opioid use, which was defined as receiving ?90 days' supply of opioids in the year after active breast cancer treatment. Sensitivity analyses were conducted with an alternative definition of persistent opioid use: any opioid fill 90 to 180 days after active cancer treatment.ResultsNearly two-thirds of the subjects received prescription opioid therapy during cancer treatment. Quarterly probabilities of new-onset persistent opioid use after active treatment ranged from 2% to 4%; in sensitivity analyses, the alternative outcome definition resulted in predicted probabilities ranging from 11.4% to 14.7%. Subjects with more advanced disease, a higher comorbidity burden, a low-income status, and greater opioid exposure during active cancer treatment were more likely to develop persistent opioid use.ConclusionsPersistent opioid use was an infrequent occurrence among older adult patients with breast cancer completing cancer treatment between 2008 and 2013. This finding was encouraging because of the concerning opioid trends seen in noncancer populations. However, opportunities to further mitigate unsafe opioid use as a complication of cancer care, including standardization of persistent opioid use definitions, should be explored.
| S-EPMC6994182 | biostudies-literature
Project description:ImportanceThe receipt of overlapping opioid and benzodiazepine prescriptions is associated with increased overdose risk. It is unknown whether this increase in risk varies when overlapping prescriptions are written by multiple prescribers vs 1 prescriber.ObjectiveTo evaluate the association between receipt of overlapping opioid and benzodiazepine prescriptions from multiple prescribers and overdose risk.Design, setting, and participantsThis cohort study was conducted using 2017 to 2018 claims from the Optum deidentified Clinformatics Data Mart. Participants were patients with private insurance or Medicare Advantage aged 12 years or older with overlapping opioid and benzodiazepine prescriptions. Data were analyzed from March through November 2020.ExposuresFor each patient, person-days on which opioid and benzodiazepine prescriptions overlapped were identified. The exposure was whether these prescriptions were written by multiple prescribers vs 1 prescriber.Main outcomes and measuresThe outcome was a treated overdose, defined as the occurrence of 1 or more claims containing a diagnosis code for opioid or benzodiazepine poisoning on a person-day of opioid-benzodiazepine overlap. The association between exposure and outcome at the person-day level was estimated using logistic regression, controlling for opioid and benzodiazepine prescribing patterns, demographics, and comorbidities. The average marginal effect (AME) of the exposure, defined as the absolute difference in the probability of a treated overdose if all person-days of overlap involved prescriptions from multiple prescribers vs 1 prescriber, was calculated.ResultsAmong 529 053 patients, the mean (SD) age was 61.2 (15.6) years and 350 857 (66.3%) were female patients. Mean (SD) follow-up was 198.7 (249.8) days. During follow-up, overdose occurred on 1 or more person-days of opioid-benzodiazepine overlap for 2288 patients (0.4%, or 1 in 231 patients). There were 52 989 316 person-days of opioid-benzodiazepine overlap. Among 19 895 457 person-days (37.5%) involving prescriptions from multiple prescribers, there were 1390 overdoses (7.0 per 100 000 person-days), and among 33 093 859 person-days (62.5%) involving prescriptions from 1 prescriber, there were 1302 overdoses (3.9 per 100 000 person-days). Overdose risk was increased 1.8-fold (95% CI, 1.6-1.9) on person-days of overlap involving prescriptions from multiple prescribers vs 1 prescriber. The association between multiple prescribers and increased risk of overdose persisted in adjusted analyses (adjusted odds ratio, 1.20; 95% CI, 1.10-1.31; AME, 0.91 per 100 000 person-days of overlap; 95% CI, 0.46-1.37).Conclusions and relevanceThis study found that among patients already at increased risk of overdose owing to concurrent treatment with opioids and benzodiazepines, overdose risk was increased further when multiple prescribers were responsible for this treatment regimen compared with 1 prescriber. This increased risk was not fully accounted for by differences in prescribing patterns, demographics, or comorbidities. This finding suggests that other factors, such as poor care coordination, may be associated with the increase in risk.
| S-EPMC8356065 | biostudies-literature
Project description:BackgroundThe morbidity and mortality associated with opioid and benzodiazepine co-prescription is a pressing national concern. Little is known about patterns of opioid and benzodiazepine use in patients with acute low back pain or lower extremity pain.ObjectiveTo characterize patterns of opioid and benzodiazepine prescribing among opioid-naïve, newly diagnosed low back pain (LBP) or lower extremity pain (LEP) patients and to investigate the relationship between benzodiazepine prescribing and long-term opioid use.Design/settingWe performed a retrospective analysis of a commercial database containing claims for more than 75 million enrollees in the USA.ParticipantsParticipants were adult patients newly diagnosed with LBP or LEP between 2008 and 2015 who did not have a red flag diagnosis, had not received an opioid prescription in the 6 months prior to diagnosis, and had 12 months of continuous enrollment after diagnosis.Main outcomes and measuresAmong patients receiving at least one opioid prescription within 12 months of diagnosis, we defined discrete patterns of benzodiazepine prescribing-continued use, new use, stopped use, and never use. We tested the association of these prescription patterns with long-term opioid use, defined as six or more fills within 12 months.ResultsWe identified 2,497,653 opioid-naïve patients with newly diagnosed LBP or LEP. Between 2008 and 2015, 31.9% and 11.5% of these patients received opioid and benzodiazepine prescriptions, respectively, within 12 months of diagnosis. Rates of opioid prescription decreased from 34.8% in 2008 to 27.0% in 2015 (P?<?0.001); however, prescribing of benzodiazepines only decreased from 11.6% in 2008 to 10.8% in 2015. Patients with continued or new benzodiazepine use consistently used more opioids than patients who never used or stopped using benzodiazepines during the study period (one-way ANOVA, P?<?0.001). For patients with continued and new benzodiazepine use, the odds ratio of long-term opioid use compared with those never prescribed a benzodiazepine was 2.99 (95% CI, 2.89-3.08) and 2.68 (95% CI, 2.62-2.75), respectively.LimitationsThis study used administrative claims analyses, which rely on accuracy and completeness of diagnostic, procedural, and prescription codes.ConclusionOverall opioid prescribing for low back pain or lower extremity pain decreased substantially during the study period, indicating a shift in management within the medical community. Rates of benzodiazepine prescribing, however, remained at approximately 11%. Concurrent prescriptions of benzodiazepines and opioids after LBP or LEP diagnosis were associated with increased risk of long-term opioid use.
| S-EPMC6957597 | biostudies-literature
Project description:ImportanceConcurrent benzodiazepine use is associated with an increased risk of opioid-related overdose; however, it remains unknown how the overdose risk varies with the days of exposure to both medications.ObjectiveTo evaluate the exposure-response association between the days with concurrent prescription opioid and benzodiazepine use and the risk of overdose.Design, setting, and participantsRetrospective cohort study of Medicare Part D claims data from January 1, 2013, to December 31, 2014. Analyses were conducted in fall 2017 and spring 2018. Participants were Medicare Part D beneficiaries who filled at least 1 prescription for an opioid in 2014.ExposuresPatients were divided into 2 groups based on whether they had opioid and benzodiazepine supplies on the day before overdose or censoring. The first group only had a supply of opioids (n?=?50?583) and the second group had supplies of opioids and benzodiazepines (n?=?20?665). The second group was further categorized into 4 subgroups based on the cumulative number of days with overlapping supplies of opioids and benzodiazepines: 1 to 90 days (n?=?3603), 91 to 180 days (n?=?2930), 181 to 270 days (n?=?4082), and 271 days or more (n?=?10?050).Main outcomes and measuresCox proportional hazard models were constructed to compare opioid-related overdose (including fatal and nonfatal overdoses) across time-dependent treatment groups, controlling for demographic characteristics, insurance factors, clinical characteristics, and number of unique opioid and benzodiazepine prescribers.ResultsOf 71?248 total participants, 25?600 (35.9%) were male and 59?532 (83.6%) were white. Mean (SD) age was 66.5 (14.8) years. On the day before overdose or censoring event, 20?665 of 71?248 patients with an opioid prescription (29.0%) were concurrently using benzodiazepines and 14?132 of 20?665 concurrent users (68.4%) had more than 180 days of overlapping supplies of both medications. The risk of overdose was highest on the first days of concurrent opioid and benzodiazepine use and decreased over time; compared with opioid use alone, the hazard ratio for overdose was 5.05 (95% CI, 3.68-6.93) during the first 90 days of concurrent opioid and benzodiazepine use and 1.87 (95% CI, 1.25-2.80) for days 91 to 180 among those who did not have an event before 90 days.Conclusions and relevanceDuring the first 90 days, concurrent benzodiazepine use is associated with a 5-fold increase in the risk of opioid-related overdose. The implementation of policies deterring concurrent opioid and benzodiazepine use is warranted. Patients using both medications should be closely monitored, particularly during the first days of concurrent use.
| S-EPMC6324417 | biostudies-literature
Project description: Not available
| S-EPMC9097826 | biostudies-literature
Project description:The purpose of this study was to determine the ability of the Vulnerable Elders Survey (VES-13) to predict the composite outcome of functional decline and death within 12 months of breast cancer treatment among women 65 years old or older with newly diagnosed stage I to III breast cancer.Two hundred and six participants were recruited from ambulatory oncology clinics at an academic center between April 2008 and April 2013. Participants competed the VES-13 at baseline just before neoadjuvant/adjuvant treatment. The primary outcome, functional decline/death, was defined as either a decrease of at least 1 point on the Activities of Daily Living scale and/or the Instrumental Activities of Daily Living scale or death between baseline and 12 months (yes or no).One hundred and eighty four participants (89%) completed 12 months of follow-up. Twenty-two percent functionally declined (n = 34) or died (n = 7). Univariately, with increasing VES-13 scores, the estimated risk of functional decline/death rose from 23% for participants with a VES-13 score of 3 to 76% for participants with a VES-13 score of 10. In multivariate logistic regression analysis, VES-13 scores (adjusted odds ratio, 1.37; 95% confidence interval, 1.18-1.57) and having a high school education or less (adjusted odds ratio, 2.47; 95% confidence interval, 1.08-5.65) were independent predictors of functional decline/death (area under the receiver operator curve, 0.79).Among older women with newly diagnosed nonmetastatic breast cancer, approximately 1 in 5 functionally declined and/or died within 12 months of breast cancer treatment initiation. Women with high school education or less were disproportionately affected. The VES-13 is a useful instrument for the early identification of those at risk for functional decline and/or death. Cancer 2016;122:2579-86. © 2016 American Cancer Society.
| S-EPMC5027843 | biostudies-other
Project description:BackgroundInsurance-based "lock-in" programs (LIPs) have become a popular strategy to address controlled substance (CS) (e.g., opioid) misuse. However, little is known about their impacts. We examined changes in CS dispensing to beneficiaries in the 12-month North Carolina Medicaid LIP.MethodsWe analyzed Medicaid claims linked to Prescription Drug Monitoring Program (PDMP) records for beneficiaries enrolled in the LIP between October 2010 and September 2012 (n=2702). Outcomes of interest were 1) number of dispensed CS prescriptions and 2) morphine milligram equivalents (MMEs) of dispensed opioids while a) locked-in and b) in the year following release.ResultsCompared to a period of stable CS dispensed prior to LIP enrollment, numbers of dispensed CS during lock-in and post-release were lower (count difference per person-month: -0.05 (95% CI: -0.11, 0.01); -0.23 (95% CI: -0.31, -0.15), respectively). However, beneficiaries' average daily MMEs of opioids were elevated during both lock-in and post-release (daily mean difference per person: 18.7 (95% CI: 13.9, 23.6); 11.1 (95% CI: 5.1, 17.1), respectively). Stratification by payer source revealed increases in using non-Medicaid (e.g., out-of-pocket) payment during lock-in that persisted following release.ConclusionWhile the LIP reduced the number of CS dispensed, the program was also associated with increased acquisition of CS prescriptions using non-Medicaid payment. Moreover, beneficiaries acquired greater dosages of dispensed opioids from both Medicaid and non-Medicaid payment sources during lock-in and post-release. Refining LIPs to increase beneficiary access to substance use disorder screening and treatment services and provider use of PDMPs may address important unintended consequences.
| S-EPMC7475002 | biostudies-literature
Project description:PurposeBreast cancer is a common disease with a relatively good prognosis. Therefore, understanding the spectrum of diseases and mortality among breast cancer patients is important, though currently incomplete. We systematically examined the incidence and mortality of all diseases following a breast cancer diagnosis, as well as the sequential association of disease occurrences (trajectories).MethodsIn this national cohort study, 57,501 breast cancer patients (2001-2011) were compared to 564,703 matched women from the general Swedish population and followed until 2012. The matching criteria included year of birth, county of residence, and socioeconomic status. Based on information from the Swedish Patient and Cause of Death Registries, hazard ratios (HR) were estimated for disease incidence and mortality. Conditional logistic regression models were used to identify disease trajectories among breast cancer patients.ResultsAmong 225 diseases, 45 had HRs >?1.5 and p?<?0.0002 when comparing breast cancer patients with the general population. Diseases with highest HRs included lymphedema, radiodermatitis, and neutropenia, which are side effects of surgery, radiotherapy, and chemotherapy. Other than breast cancer, the only significantly increased cause of death was other solid cancers (HR?=?1.16, 95% CI?=?1.08-1.24). Two main groups of disease trajectories were identified, which suggest menopausal disorders as indicators for other solid cancers, and both neutropenia and dorsalgia as diseases and symptoms preceding death due to breast cancer.ConclusionsWhile an increased incidence of other diseases was found among breast cancer patients, increased mortality was only due to other solid cancers. Preventing death due to breast cancer should be a priority to prolong life in breast cancer patients, but closer surveillance of other solid cancers is also needed.
| S-EPMC6698019 | biostudies-literature
Project description:BackgroundLittle is known about the size and characteristics of the decision-support networks of women newly diagnosed with breast cancer and whether their involvement improves breast cancer treatment decisions.MethodsA population-based sample of patients newly diagnosed with breast cancer in 2014 and 2015, as reported to the Georgia and Los Angeles Surveillance, Epidemiology, and End Results registries, were surveyed approximately 7 months after diagnosis (N = 2502; response rate, 68%). Network size was estimated by asking women to list up to 3 of the most important decision-support persons (DSPs) who helped them with locoregional therapy decisions. Decision deliberation was measured using 4 items assessing the degree to which patients thought through the decision, with higher scores reflecting more deliberative breast cancer treatment decisions. The size of the network (range, 0-3 or more) was compared across patient-level characteristics, and adjusted mean deliberation scores were estimated across levels of network size using multivariable linear regression.ResultsOf the 2502 women included in this analysis, 51% reported having 3 or more DSPs, 20% reported 2, 18% reported 1, and 11% reported not having any DSPs. Married/partnered women, those younger than 45 years, and black women all were more likely to report larger network sizes (all P < .001). Larger support networks were associated with more deliberative surgical treatment decisions (P < .001).ConclusionsMost women engaged multiple DSPs in their treatment decision making, and involving more DSPs was associated with more deliberative treatment decisions. Future initiatives to improve treatment decision making among women with breast cancer should acknowledge and engage informal DSPs. Cancer 2017;123:3895-903. © 2017 American Cancer Society.
| S-EPMC5626589 | biostudies-literature
Project description:OBJECTIVES:To examine how an October 2014 Drug Enforcement Administration policy reclassified hydrocodone product from schedule III to II has affected older adults, who are among the largest consumers of prescription opioids in the United States. DESIGN:Retrospective cohort study. SETTING:United States. PARTICIPANTS:A 20% sample of Medicare Part D beneficiaries aged 65 and older from 2013 through 2015 (> 2,500,000 beneficiaries each year) MEASUREMENTS: From January 2013 to December 2015, we calculated the monthly prevalence of opioid prescriptions and the prevalence of individuals who received prescriptions for a 90-day supply or longer (prolonged), as well as hospitalizations related to opioid toxicity in 2013 and 2015. RESULTS:From 2013 to 2015, the proportion of Medicare Part D enrollees who received a hydrocodone prescription in a year decreased from 21.9% to 18.3%. Monthly rates for hydrocodone prescriptions declined significantly in 2014. The risk of receiving prolonged opioid prescriptions decreased by approximately 7% in the multivariable analyses comparing 2015 to 2013 (prevalence ratio=0.93, 95% confidence interval (CI)=0.93-0.94). Medicare enrollees with an original entitlement because of disability or with Medicaid eligibility had smaller decreases in prolonged prescriptions and, unexpectedly, small increases in high-dose prescriptions. Opioid-related hospitalizations did not change significantly, but opioid-related hospitalizations without a documented opioid prescription increased (odds ratio=1.24, 95% CI=1.03-1.50). CONCLUSION:The 2014 change in hydrocodone from schedule III to schedule II was associated with modest decreases in rates of opioid use in the elderly. The unexpected increase in opioid-related hospitalizations without documented opioid prescriptions may represent an increase in illegal use.
| S-EPMC5992099 | biostudies-literature