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BACKGROUND: We assessed patient costs associated with cannabis use during cancer treatment. METHODS: Adults treated for cancer at a large, comprehensive center completed an anonymous survey regarding their thoughts and experiences with cannabis and cancer. Bivariate and weighted multivariable logistic regression assessed clinical and sociodemographic factors associated with patient-reported out-of-pocket costs for cannabis products. RESULTS: Overall, 248 cannabis users provided data on cost and were analyzed. Median monthly out-of-pocket cost for cannabis was $80 (interquartile range = $25-$150). On regression analysis, male gender (odds ratio = 2.5, 95% confidence interval = 1.2 to 5.5, P = .026) and being 45 years of age or older (odds ratio = 7.5, 95% confidence interval = 1.9 to 30.0, P = .0042) were associated with spending $100 a month or more on cannabis. Of the 166 patients who stopped using cannabis early or used less than preferred, 28% attributed it to cost and 26% to lack of insurance coverage. CONCLUSION: Cannabis use during cancer treatment may contribute to significant out-of-pocket costs, with men and younger patients more likely to pay higher costs.
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Gastos en Salud , Neoplasias , Humanos , Masculino , Femenino , Persona de Mediana Edad , Neoplasias/economía , Neoplasias/terapia , Adulto , Gastos en Salud/estadística & datos numéricos , Anciano , Marihuana Medicinal/economía , Marihuana Medicinal/uso terapéutico , Cannabis , Encuestas y Cuestionarios , Costo de EnfermedadRESUMEN
BACKGROUND: Older head and neck cancer (HNC) survivors have concerning rates of potentially unsafe opioid prescribing. Identifying the specialties of opioid prescribers for HNC survivors is critical for targeting the settings for opioid safety interventions. This study hypothesized that oncology and surgery providers are primarily responsible for opioid prescriptions in the year after treatment but that primary care providers (PCPs) are increasingly involved in prescribing over time. METHODS: Using linked Surveillance, Epidemiology, and End Results-Medicare data, a retrospective analysis was conducted of adults aged >65 years diagnosed between 2014 and 2017 with stage I-III HNC and who had ≥6 months of treatment-free follow-up through 2019. Starting at treatment completion, opioid fills were assigned to a prescriber specialty: oncology, surgery, primary care, pain management, or other. Prescriber patterns were summarized for each year of follow-up. Multinomial logistic regression models captured the likelihood of opioids being prescribed by each specialty. RESULTS: Among 5135 HNC survivors, 2547 (50%) had ≥1 opioid fill (median, 2.1-year follow-up). PCPs prescribed 47% of all fills (42%-55% each year). PCPs prescribed opioids to 45% of survivors with ≥1 opioid fill, which was a greater share than other specialties. PCPs prescribed longer supplies of opioids (median, 20 days/fill; median, 30 days/year) than oncologists or surgeons. The likelihood of an opioid being prescribed by an oncology provider was four times lower than that of it being prescribed by a PCP. CONCLUSIONS: PCP involvement in opioid prescribing remains high throughout HNC survivorship. Interventions to improve the safety of opioid prescribing should target primary care, as is typical for opioid reduction efforts in the noncancer population.
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Aim: We aimed to understand experiences with opioids and cannabis for post-treatment cancer survivors. Patients & methods: We conducted seven focus groups among head and neck and lung cancer survivors, using standard qualitative methodology to explore themes around 1) post-treatment pain and 2) utilization, perceived benefits and perceived harms of cannabis and opioids. Results & conclusion: Survivors (N = 25) experienced addiction fears, stigma and access challenges for both products. Opioids were often perceived as critical for severe pain. Cannabis reduced pain and anxiety for many survivors, suggesting that anxiety screening, as recommended in guidelines, would improve traditional pain assessment. Opioids and cannabis present complex harms and benefits for post-treatment survivors who must balance pain management and minimizing side effects.
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Cannabis , Dolor Crónico , Neoplasias , Humanos , Analgésicos Opioides/efectos adversos , Manejo del Dolor/métodos , Dolor Crónico/tratamiento farmacológico , Neoplasias/complicaciones , Neoplasias/tratamiento farmacológico , SobrevivientesRESUMEN
PURPOSE: To characterize cannabis use among cancer patients, we aimed to describe 1) patterns of cannabis use across multiple cancer sites; 2) perceived goals, benefits, harms of cannabis; and 3) communication about cannabis. METHODS: Patients with 9 different cancers treated at Memorial Sloan Kettering Cancer Center between March and August 2021 completed an online or phone survey eliciting cannabis use, attitudes, and communication about cannabis. Multivariable logistic regression estimated the association of cancer type and cannabis use, adjusting for sociodemographic characteristics and prior cannabis use. RESULTS: Among 1258 respondents, 31% used cannabis after diagnosis, ranging from 25% for lung cancer to 59% for testicular cancer. Characteristics associated with cannabis use included younger age, lower education level, and cancer type. In multivariable analysis, compared to lung cancer patients, gastrointestinal cancer patients were more likely to use cannabis (odds ratio [OR] 2.64, 95% confidence interval [CI] 1.25-5.43). Cannabis use in the year prior to diagnosis was strongly associated with cannabis use after diagnosis (OR 19.13, 95% CI 11.92-30.72). Among users, reasons for use included difficulty sleeping (48%); stress, anxiety, or depression (46%); and pain (42%). Among respondents who used cannabis to improve symptoms, 70-90% reported improvement; < 5% reported that any symptom worsened. Only 25% discussed cannabis with healthcare providers. CONCLUSIONS: Almost a third of cancer patients use cannabis, largely for symptom management. Oncologists may not know about their patients' cannabis use. To improve decision making about cannabis use during cancer care, research is needed to determine benefits and harms of cannabis use.
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Cannabis , Neoplasias Pulmonares , Neoplasias Testiculares , Humanos , Masculino , Ansiedad , Trastornos de AnsiedadRESUMEN
BACKGROUND: Cancer survivors receive more long-term opioid therapy (LTOT) than people without cancer, but the safety of LTOT prescribing is unknown. METHODS: Opioid-naive adults aged ≥66 years who had been diagnosed in 2008-2015 with breast, lung, head and neck, or colorectal cancer were identified with data from Surveillance, Epidemiology, and End Results cancer registries linked with Medicare claims. Survivors with 1 or more LTOT episodes (≥90 consecutive days) occurring ≥1 year after their cancer diagnosis and before censoring at hospice entry, another cancer diagnosis, 6 months before death, or December 2016 were included. The safety of prescribing during the first 90 days of the first LTOT episode was measured during follow-up. As a positive safety indicator, the proportion of survivors with concurrent nonopioid pain management was measured. Indicators of less safe prescribing were the proportion of survivors with a high average daily opioid dose (≥90 morphine milligram equivalents) and the proportion of survivors with concurrent benzodiazepine dispensing. Multivariable logistic regression analyses were conducted to identify clinical predictors of each safety outcome. RESULTS: In all, 3628 cancer survivors received LTOT during follow-up (median duration, 4.9 months; interquartile range, 3.5-8.0 months). Seventy-two percent of the survivors received multimodal pain management concurrently with LTOT. Eight percent of the survivors had high-dose opioid prescriptions; 25% of the survivors received benzodiazepines during LTOT. Multivariable analyses identified variations in safety measures by multiple clinical factors, although none were consistently significant across outcomes. CONCLUSIONS: To improve safe LTOT prescribing for survivors, efforts should focus on increasing multimodal pain management and reducing inappropriate benzodiazepine prescribing. Different clinical predictors of each outcome suggest different drivers of safe prescribing.
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Analgésicos Opioides , Supervivientes de Cáncer , Neoplasias , Manejo del Dolor , Pautas de la Práctica en Medicina , Anciano , Analgésicos Opioides/administración & dosificación , Humanos , Medicare , Neoplasias/tratamiento farmacológico , Estudios Retrospectivos , Estados Unidos/epidemiologíaRESUMEN
Survivors of head and neck cancer (HNC) can have multiple health concerns. To facilitate their care, we developed and pilot-tested a clinical informatics intervention, HN-STAR. HN-STAR elicits concerns online from HNC survivors prior to a routine oncology clinic visit. HN-STAR then presents tailored evidence-based clinical recommendations as a clinical decision support tool to be used during the visit where the oncology clinician and survivor select symptom management strategies and other actions. This generates a survivorship care plan (SCP). Online elicitation of health concerns occurs 3, 6, and 9 months after the clinic visit, generating an updated SCP each time. HN-STAR encompasses important methods of improving survivorship care (e.g., needs assessment, tailored interventions, dissemination of guidelines) and will be evaluated in a pragmatic trial to maximize external validity. This hybrid type 1 implementation-effectiveness trial tests HN-STAR effectiveness while studying barriers and facilitators to implementation in community oncology practices within the National Cancer Institute Community Oncology Research Program. Effectiveness will be measured as differences in key survivorship outcomes between HNC participants who do and do not use HN-STAR over one year after the clinic visit. The primary endpoint is HNC-specific quality of life; other outcomes include patient-centered measures and receipt of guideline-concordant care. Implementation outcomes will be assessed of survivors, providers, and clinic stakeholders. The hybrid design will provide insight into a dose-response relationship between the extent of implementation fidelity and effectiveness outcomes, as well as how to incorporate HN-STAR into standard practice outside the research setting.