Patient-provider communication about the use of medical cannabis for cancer symptoms: a cross-sectional study.

BACKGROUND: There has been limited study regarding patient-provider communication about medical cannabis for cancer symptom management. To address this gap, this study assesses the determinants and prevalence of patient-provider communication about the use of medical cannabis for cancer symptoms at a National Cancer Institute-designated Comprehensive Cancer Center. METHODS: Individuals who completed cancer treatment from July 2017 to December 2019 were invited to participate in a survey regarding medical cannabis. An electronic survey was administered in English and Spanish from August to November 2021 and completed by 1592 individuals (response rate = 17.6%). RESULTS: About one-third (33.5%) of participants reported discussing medical cannabis for cancer symptom management with a health-care provider. Controlling for other factors, individuals with malnutrition and/or cachexia had higher odds (odds ratio [OR] = 2.30, 95% confidence interval [CI] = 1.50 to 3.53) of reporting patient-provider discussions compared with individuals without malnutrition and/or cachexia. Similarly, individuals with nausea had higher odds (OR = 1.94, 95% CI = 1.44 to 2.61) of reporting patient-provider discussions compared with individuals without nausea. A smaller percentage (15.6%) of participants reported receiving a recommendation for medical cannabis for cancer symptom management. Among individuals who reported using cannabis, a little over one-third (36.1%) reported not receiving instructions from anyone on how to use cannabis or determine how much to take. CONCLUSIONS: Overall, our study suggests that patient-provider communication about medical cannabis for cancer symptom management is limited. As interest and use of medical cannabis continues to grow among cancer patients, there is a need to ensure patients have access to high quality patient-provider communication.

Concurrent substance use among cancer patients with and without a history of cannabis use since cancer diagnosis at an NCI-Designated Cancer Center in Florida.

BACKGROUND: Although substance use may have adverse impacts on cancer outcomes, little is known regarding patterns of concurrent substance use with cannabis among cancer patients. Our objective was to examine predictors of concurrent substance use with cannabis among cancer patients since their cancer diagnosis and explore perceptions of cannabis among these patients. METHODS: Patients treated at a National Cancer Institute-designated comprehensive cancer center were invited to participate in an electronic survey regarding medical cannabis from August to November 2021. Survey data were linked to internal data resources including electronic health records and patient intake forms to obtain history of substance use (defined as within at least 3 months of cancer diagnosis) of cigarettes, injection drugs, high levels of alcohol, or clinically unsupervised prescription drugs (total n = 1094). Concurrent substance users were defined as those with any reported substance use and cannabis use at the time of cancer diagnosis. We used descriptive statistics (χ2 or exact tests) to compare groups and estimated adjusted odds ratios (AORs) with 95% confidence intervals (CIs) to identify predictors of substance use among users and nonusers of cannabis. RESULTS: Approximately 45% (n = 489) of the sample reported cannabis use since their cancer diagnosis. Of patients who reported using cannabis, 20% self-reported concurrent polysubstance use, while 8% of cannabis nonusers reported substance use (P < .001). Among patients who use cannabis, those who reported 2 or more self-reported treatment-related symptoms (eg, pain, fatigue) were more likely to have self-reported concurrent substance use (AOR = 3.15, 95% CI = 1.07 to 9.27) compared with those without any symptoms. Among nonusers, those with lower educational background were more likely to have a history of concurrent substance use (AOR = 3.74, 95% CI = 1.57 to 8.92). Patients who use cannabis with concurrent substance use were more likely to report improved sleep (P = .04), increased appetite (P = .03), and treatment of additional medical conditions (P = .04) as perceived benefits of cannabis use. CONCLUSIONS: High symptom burden may be associated with concurrent substance use with cannabis among cancer patients.

Suicide Risk Screening for Head and Neck Cancer Patients: An Implementation Study.

OBJECTIVES: There is limited research on suicide risk screening (SRS) among head and neck cancer (HNC) patients, a population at increased risk for suicide. To address this gap, this single-site mixed methods study assessed oncology professionals' perspectives about the feasibility, acceptability, and appropriateness of an electronic SRS program that was implemented as a part of routine care for HNC patients. METHODS: Staff who assisted with SRS implementation completed (e.g., nurses, medical assistants, advanced practice providers, physicians, social workers) a one-time survey (N = 29) and interview (N = 25). Quantitative outcomes were assessed using previously validated feasibility, acceptability, and appropriateness measures. Additional qualitative data were collected to provide context for interpreting the scores. RESULTS: Nurses and medical assistants, who were directly responsible for implementing SRS, reported low feasibility, acceptability, and appropriateness, compared with other team members (e.g., physicians, social workers, advanced practice providers). Team members identified potential improvements needed to optimize SRS, such as hiring additional staff, improving staff training, providing different modalities for screening completion among individuals with disabilities, and revising the patient-reported outcomes to improve suicide risk prediction. CONCLUSION: Staff perspectives about implementing SRS as a part of routine cancer care for HNC patients varied widely. Before screening can be implemented on a larger scale for HNC and other cancer patients, additional implementation strategies may be needed that optimize workflow and reduce staff burden, such as staff training, multiple modalities for completion, and refined tools for identifying which patients are at greatest risk for suicide.

Support Through Remote Observation and Nutrition Guidance (STRONG), a digital health intervention to reduce malnutrition among pancreatic cancer patients: A study protocol for a pilot randomized controlled trial.

Background: Malnutrition is a common and distressing condition among pancreatic cancer patients. Fewer than a quarter of pancreatic cancer patients receive medical nutrition therapy (MNT), important for improving nutritional status, weight maintenance, quality of life and survival. System, provider, and patient level barriers limit access to MNT. We propose to examine the feasibility of a 12-week multi-level, digital health intervention designed to expand MNT access among pancreatic cancer patients. Methods: Individuals with advanced pancreatic cancer starting chemotherapy (N = 80) will be 1:1 randomized to the intervention or usual care. The Support Through Remote Observation and Nutrition Guidance (STRONG) intervention includes system-level (e.g., routine malnutrition and screening), provider-level (e.g., dietitian training and web-based dashboard), and patient-level strategies (e.g., individualized nutrition plan, self-monitoring of dietary intake via Fitbit, ongoing goal monitoring and feedback). Individuals receiving usual care will be referred to dietitians based on their oncologists' discretion. Study assessments will be completed at baseline, 4-, 8-, 12-, and 16-weeks. Results: Primary outcomes will be feasibility (e.g., recruitment, retention, assessment completion) and acceptability. We will collect additional implementation outcomes, such as intervention adherence, perceived usability, and feedback on intervention quality via an exit interview. We will collect preliminary data on outcomes that may be associated with the intervention including malnutrition, quality of life, treatment outcomes, and survival. Conclusion: This study will advance our knowledge on the feasibility of a digital health intervention to reduce malnutrition among individuals with advanced pancreatic cancer. Trial registration: NCT05675059, registered on December 9, 2022.

Optimizing presurgical education for patients with head and neck cancer receiving laryngectomy and free flap surgery: A qualitative study.

BACKGROUND: There has been limited study of oncology professionals' perspectives on optimizing delivery of presurgical education for individuals with head and neck cancer (HNC). Therefore, we assessed oncology professionals' perspectives about presurgical education for laryngectomy and free flap surgeries, which have a significant impact on patients' quality of life. METHODS: Interviews were conducted with 27 oncology professionals from an NCI-designated Comprehensive Cancer Center and a community oncology setting. RESULTS: Participants identified six recommendations to improve presurgical education: (1) establishing preoperative consultations with allied health professionals; (2) educating patients and providers on the concept of team-based care; (3) optimizing education through multimodal strategies; (4) connecting patients with other HNC surgical patients; (5) preparing caregivers for their role; and (6) educating patients on insurance navigation. CONCLUSIONS: Study findings demonstrate gaps in the timing, content, and mode of delivery for presurgical education and suggest strategies for further evaluation in future studies.

Mental healthcare access among US adults with vision impairment and depression and/or anxiety symptoms.

BACKGROUND: Although individuals with vision impairment are at greater risk for depression and anxiety, there has been limited study of mental healthcare utilization among this population. OBJECTIVES: To address this gap, this pooled cross-sectional study estimates the prevalence of mental healthcare utilization among individuals with vision impairment during the COVID-19 pandemic. METHODS: We calculated adjusted relative risk ratios and 95% confidence intervals of depression and/or anxiety symptoms and mental healthcare utilization using multinomial logistic regression, accounting for demographics, social determinants of health, and survey week. The population-based, U.S. Census Bureau Household Pulse Survey was administered April 2021-March 2022. Participants included 800,935 US adults (weighted population: 174,598,530) RESULTS: Adjusting for other factors, adults with vision impairment were more likely to report depression symptoms (RRR: 2.33; 95% CI: 2.03-2.68), anxiety symptoms (RRR: 2.12; 95% CI: 1.94-2.33, and comorbid depression and anxiety symptoms (RRR: 3.77; 95% CI: 3.51-4.04) compared with individuals with no vision impairment. Among individuals reporting anxiety or depression symptoms, individuals with vision impairment (RRR: 1.46; 95% CI: 1.35-1.59) were more likely to lack of mental healthcare utilization compared with individuals with no vision impairment. CONCLUSION: Findings suggest that individuals with vision impairment are at increased risk for depression and/or anxiety symptoms and report reduced mental healthcare utilization compared with individuals without vision impairment. Additional programs and policies are needed to improve mental healthcare utilization among individuals with vision impairment and depression and/or anxiety symptoms, such as increased telehealth accessibility and coordination of behavioral health and ophthalmology services.