Cannabis use among adolescents and emerging adults who use e-cigarettes: Findings from an online, national U.S. Sample.

Concurrent use of e-cigarettes and cannabis among adolescents and emerging adults is a growing public health concern. More research is needed describing cannabis use among adolescents and emerging adults who vape. The objective of this study was to characterize cannabis use among adolescents and emerging adults (age 14-20) who reported e-cigarette ever-use, particularly their use of blunts and liquid cannabis vape (LCV) products. Using cross-sectional data from a national online survey, we describe their patterns of cannabis use, detail their use of flavored cannabis and tobacco products, and estimate associations of demographic factors and other current substance use behaviors with levels of blunt and LCV use. Of the 2253 respondents in the sample, 1379 (61 %) reported some form of cannabis use in the past 30 days, among whom 80 % used flavored cannabis (including edibles). Significant associations with current cannabis use were observed on several demographic measures, with current cannabis blunt use more frequent among participants not in school, non-Hispanic Blacks, multiracial respondents, and those whose incomes do not meet their expenses. Other than income, demographic characteristics were generally not associated with LCV use frequency. Use of other substances was associated with more frequent use of both blunts and LCV in the past 30 days, and enrollment in college or the military seems somewhat protective for emerging adults. These findings suggest a need for tailored prevention efforts among high-risk adolescents and emerging adults, potential regulation of added flavors in commercialized cannabis products, and stronger enforcement of retail restrictions for individuals under age 21 more broadly.

Managing innovation: a qualitative study on the implementation of telehealth services in rural emergency departments.

BACKGROUND: Telehealth studies have highlighted the positive benefits of having the service in rural areas. However, there is evidence of limited adoption and utilization. Our objective was to evaluate this gap by exploring U.S. healthcare systems' experience in implementing telehealth services in rural hospital emergency departments (TeleED) and by analyzing factors influencing its implementation and sustainability. METHODS: We conducted semi-structured interviews with 18 key informants from six U.S. healthcare systems (hub sites) that provided TeleED services to 65 rural emergency departments (spoke sites). All used synchronous high-definition video to provide the service. We applied an inductive qualitative analysis approach to identify relevant quotes and themes related to TeleED service uptake facilitators and barriers. RESULTS: We identified three stages of implementation: 1) the start-up stage; 2) the utilization stage; and 3) the sustainment stage. At each stage, we identified emerging factors that can facilitate or impede the process. We categorized these factors into eight domains: 1) strategies; 2) capability; 3) relationships; 4) financials; 5) protocols; 6) environment; 7) service characteristics; and 8) accountability. CONCLUSIONS: The implementation of healthcare innovation can be influenced by multiple factors. Our study contributes to the field by highlighting key factors and domains that play roles in specific stages of telehealth operation in rural hospitals. By appreciating and responding to these domains, healthcare systems may achieve more predictable and favorable implementation outcomes. Moreover, we recommend strategies to motivate the diffusion of promising innovations such as telehealth.

Preferences, use, and perceived access to flavored e-cigarettes among United States adolescents and young adults.

Background: Citing concern over youth use, the Food and Drug Administration announced a prioritized enforcement policy against cartridge-based (reusable pod) e-cigarettes in non-menthol, non-tobacco flavors, effective February 2020. Data are needed regarding youth e-cigarette access and use behaviors following this policy. Methods: This cross-sectional national (USA) online panel survey, conducted March/April 2021, included 2253 participants ages 14-20 who ever used e-cigarettes ≥3 times (73% past 30-day users). Participants reported their flavor preferences, use reasons, and perceived ease of access. Latent class analysis categorized participants according to their preferred e-cigarette flavors, and multinominal logistic regression identified sociodemographic and behavioral correlates of class membership. Results: Most past 30-day e-cigarette users used reusable pod (77%) or modern disposable (68%) devices, ≥1 non-tobacco (92%), sweet (76%), and/or menthol flavors including fruit-ice (70%) (flavor and device categories not mutually exclusive). Most past 30-day users (70%) and non-users (63%) perceived it would be somewhat or very easy to acquire e-cigarettes in flavors they like. Latent class analysis identified four e-cigarette flavor preference classes: mint (34% of sample), no preference (29%), fruit/sweet (28%), and dislikes ≥1 flavor (10%). Relative to no preference, membership in fruit/sweet (RRR: 1.87; 95% CI: 1.37, 2.57) and mint (RRR: 3.85; 95% CI: 2.77, 5.36) classes was associated with using e-cigarettes ≥50 times. Fruit/sweet membership was inversely associated with combustible tobacco use (RRR: 0.50; 95% CI: 0.38, 0.66). Conclusion: Young e-cigarette users maintained ample access to flavored and cartridge-based products. Stronger access restrictions and enforcement are required to reduce youth e-cigarette use.

Medical Cannabis and Utilization of Nonhospice Palliative Care Services: Complements and Alternatives at End of Life.

BACKGROUND AND OBJECTIVES: There is a need to know more about cannabis use among terminally diagnosed older adults, specifically whether it operates as a complement or alternative to palliative care. The objective is to explore differences among the terminal illness population within the Illinois Medical Cannabis Program (IMCP) by their use of palliative care. RESEARCH DESIGN AND METHODS: The study uses primary, cross-sectional survey data from 708 terminally diagnosed patients, residing in Illinois, and enrolled in the IMCP. We compared the sample on palliative care utilization through logistic regression models, examined associations between palliative care and self-reported outcome improvements using ordinary least squares regressions, and explored differences in average pain levels using independent t-tests. RESULTS: 115 of 708 terminally diagnosed IMCP participants were receiving palliative care. We find increased odds of palliative care utilization for cancer (odds ratio [OR] [SE] = 2.15 [0.53], p < .01), low psychological well-being (OR [SE] = 1.97 [0.58], p < .05), medical complexity (OR [SE] = 2.05 [0.70], p < .05), and prior military service (OR [SE] = 2.01 [0.68], p < .05). Palliative care utilization is positively associated with improvement ratings for pain (7.52 [3.41], p < .05) and ability to manage health outcomes (8.29 [3.61], p < .01). Concurrent use of cannabis and opioids is associated with higher pain levels at initiation of cannabis dosing (p < .05). DISCUSSION AND IMPLICATIONS: Our results suggest that cannabis is largely an alternative to palliative care for terminal patients. For those in palliative care, it is a therapeutic complement used at higher levels of pain.

Cannabis and End-of-Life Care: A Snapshot of Hospice Planning and Experiences Among Illinois Medical Cannabis Patients With A Terminal Diagnosis.

INTRODUCTION: Between 2013 and 2019, Illinois limited cannabis access to certified patients enrolled in the Illinois Medical Cannabis Program (IMCP). In 2016, the state instituted a fast-track pathway for terminal patients. The benefits of medicinal cannabis (MC) have clear implications for patients near end-of-life (EOL). However, little is known about how terminal patients engage medical cannabis relative to supportive care. METHODS: Anonymous cross-sectional survey data were collected from 342 terminal patients who were already enrolled in (n = 19) or planning to enroll (n = 323) in hospice for EOL care. Logistic regression models compare patients in the sample on hospice planning vs. hospice enrollment, use of palliative care vs. hospice care, and use standard care vs non-hospice palliative care. RESULTS: In our sample, cancer patients (OR = 0.21 (0.11), p < .01), and those who used the fast-track application into the IMCP (OR = 0.11 (0.06), p < .001) were less likely to be enrolled in hospice. Compared to patients in palliative care, hospice patients were less likely to report cancer as their qualifying condition (OR = 0.16 (0.11), p < .01), or entered the IMCP via the fast-track (OR = 0.23 (0.15), p < .05). DISCUSSION: Given low hospice enrollment in a fairly large EOL sample, cannabis use may operate as an alternative to supportive forms of care like hospice and palliation. Clinicians should initiate conversations about cannabis use with their patients while also engaging EOL Care planning discussions as an essential part of the general care plan.

Assessing Health-Related Outcomes of Medical Cannabis Use among Older Persons: Findings from Colorado and Illinois.

OBJECTIVES: To assess health-related outcomes associated with medical cannabis use among older patients in Colorado and Illinois enrolled in their home state's medical cannabis program. METHODS: Cross-sectional data from anonymous surveys were collected from 139 persons over the age of 60 using medical cannabis in the past year. We used structural equation modeling (SEM) to confirm the hypothesized four-factor structure that includes health-related quality of life (HRQL), health-care utilization (HCU), symptom effects, and adverse events. We then examined associations between cannabis use and self-reported outcome changes using linear regression. RESULTS: The four-factor model was the best fitting structure (X2(df) = 81.63 (67), p> X2 = 0.108) relative to reduced structures. We also found that using cannabis 1-4 times per week is associated with 3.30 additional points on the HRQL scale (p < .001), 2.72 additional points on the HCU scale (p < .01), and 1.13 points on pain (p < .001). The frequency of use reported at 5-7 times per week is associated with 4.71 additional HRQL score points (p < .001). No significant associations were observed between the frequency of use and adverse events. CONCLUSIONS: We observed how cannabis use outcomes fall into four independent factors, and those using more frequently reported higher values on HRQL, HCU, and pain measures. However, we are cautious about the generalizability of our findings. CLINICAL IMPLICATIONS: Clinicians should consider how older patients using medical cannabis can experience positive and negative outcomes simultaneously or separately and assess these outcomes directly along with considering patient self-reports.

Use of cannabis and opioids for chronic pain by older adults: Distinguishing clinical and contextual influences.

INTRODUCTION AND AIMS: Chronic pain is one of the most common health-related conditions experienced by Americans over the age of 65. In this study, we examine the intersection between pain, opioids and cannabis use among older adults in Colorado and Illinois and examine how medical needs and other variables associated with a persons' background and attitudes influence choices concerning the use of opioids and cannabis to treat pain. DESIGN AND METHODS: Data were collected via a survey about cannabis and opioids use, and questions related to individual need factors (e.g. pain, quality of life) and contextual factors (e.g. sex, finances, personal attitudes, interaction with physicians) were included in this study. We built a logistic regression model to evaluate factors associated with drug use and a multinomial regression model to understand factors that influence drug choices between cannabis and opioids. RESULTS: A total of 436 individuals completed the survey; 62 used opioids only, 71 cannabis only and 72 used both. When comparing drug users to non-drug users, pain was significantly associated with using cannabis and/or opioids when controlling for other covariates. However, when we compared cannabis users to opioid users, pain was no longer a determining factor. Instead, other contextual factors such as sex, personal beliefs and physician attitudes influenced an individual's choice between cannabis or opioids. DISCUSSION AND CONCLUSIONS: This study showed that contextual factors appear to have more influence on an individual's decision to use cannabis as an alternative to opioids than individual need or characteristics.

Measuring Attitudes Toward Medical and Recreational Cannabis Among Older Adults in Colorado.

BACKGROUND AND OBJECTIVES: Cannabis use among older adults is on the rise. Despite growing interest in the topic, there exists a paucity of standardized measures capturing cannabis-specific attitudes among older adults. Using data from a survey of older Coloradans, we create two scales that separately measure medical and recreational cannabis attitudes. We also examine how these two attitudes relate to individual-level characteristics. RESEARCH DESIGN AND METHODS: We assess reliability using Cronbach's alpha and item-rest correlations and perform confirmatory factor analyses to test the two attitude models. We conduct a seemingly unrelated regression estimation to assess how individual characteristics predict medical and recreational cannabis attitude scores. RESULTS: Twelve indicators combined into two valid and reliable scales. Both scales had a three-factor structure with affect, cognition and social perception as latent dimensions. For both scales, fit indices for the three-factor model were statistically superior when compared with other models. The three-factor structure for both scales was invariant across age groups. Age, physical health, and being a caregiver differentially predicted medical and recreational cannabis attitude scores. DISCUSSION AND IMPLICATIONS: Medical and recreational cannabis attitude scales can inform the development and evaluation of tailored interventions targeting older adult attitudes that aim to influence cannabis use behaviors. These scales also enable researchers to measure cannabis-specific attitudes among older adults more accurately and parsimoniously, which in turn can facilitate a better understanding of the complex interplay between cannabis policy, use, and attitudes.