Unrelenting Growth and Diversification: Using the Health and Retirement Study to Illuminate Cannabis Use Among Aging Americans.

BACKGROUND AND OBJECTIVES: Cannabis use among aging Americans continues to increase. We examine correlates of cannabis use including attitudes, state of residence, health status, and service use. RESEARCH DESIGN AND METHODS: Using the 2018 Health and Retirement Study Cannabis module completed by 1,372 respondents aged 50 and older, we distinguished current cannabis users from those who have never used or have some prior use. We linked 2018 and 2016 core HRS data and used multinomial regressions to identify associations among current use, attitudes, place of residence, as well as current (2018) and past (2016) medical conditions, pain, and sleep issues. We also examined associations among cannabis use, hospital stays, and outpatient medical visits. RESULTS: Past-year cannabis use reached 10.3% among aging Americans. Attitudes toward cannabis have changed over time with 4 of 5 survey respondents currently holding a favorable attitude. Attitude and state of residence were associated with current use. Cannabis users reported higher levels of pain, were more likely to use prescription opioids, and report activity limitations in both 2016 and 2018. Associations between cannabis use and sleep issues or concurrent healthcare use were not observed. DISCUSSION AND IMPLICATIONS: Changing attitudes and state legalization appear important for late middle-aged and older persons, and as many as 1 of every 5 persons over 50 may be using cannabis by 2030. Cannabis use among aging Americans warrants increased attention from care providers, program administrators, and policymakers, especially as a prevention or harm reduction strategy relative to prescription opioids.

Comparison of Treatment Modality Crossovers in Telehealth and In-Person Behavioral Health Treatment in Rural Communities.

Background: Treatment crossovers occur when one mode of treatment is begun and then a different mode of treatment is utilized. Treatment crossovers are frequently examined in randomized controlled trials, but have been rarely noted or quantitatively evaluated in usual care treatment studies. The purpose of this analysis is to examine the extent of modality crossovers during behavioral health treatment. Methods: The nonrandomized, prospective, multisite research design involved two active treatment groups-a telehealth treatment cohort and an in-person treatment cohort. Treatment modality (telehealth or in person) during each encounter was compared overall and across two time periods (pre- and during the COVID-19 pandemic) between the telehealth cohort and the in-person cohort. Results: Overall, modality crossovers were relatively uncommon (6.3%). However, patients in the in-person treatment cohort were more than twice as likely to have an encounter through telehealth (8.5%) than patients in the telehealth treatment cohort were to have an in-person encounter (3.4%) even though they had the same average number of encounters. The occurrence of off-mode encounters was particularly influenced by the onset of the COVID-19 pandemic. Conclusions: In this multisite usual care study comparing telehealth and in-person behavioral health treatment, modality crossovers were more common in the in-person cohort than the telehealth cohort, especially during the COVID-19 pandemic. Because telehealth availability has increased, crossovers are likely to increase in patients receiving multiple encounters for behavioral or chronic conditions and their occurrence should be noted by both researchers and practitioners.

Telehealth and In-Person Behavioral Health Services in Rural Communities Before and During the COVID-19 Pandemic: Multisite Prospective Cohort Study.

BACKGROUND: The COVID-19 pandemic triggered widespread adjustments across the US health care system. Telehealth use showed a substantial increase in mental health conditions and services due to acute public health emergency (PHE) behavioral health needs on top of long-standing gaps in access to behavioral health services. How health systems that were already providing behavioral telehealth services adjusted services and staffing during this period has not been well documented, particularly in rural areas with chronic shortages of behavioral health providers and services. OBJECTIVE: This study investigates patient and treatment characteristic changes from before the COVID-19 PHE to during the PHE within both telehealth and in-person behavioral health services provided in 95 rural communities across the United States. METHODS: We used a nonrandomized, prospective, multisite research design involving 2 active treatment groups. The telehealth cohort included all patients who initiated telehealth treatment regimens during the data collection period. A comparison group included a cohort of patients who initiated in-person treatment regimen. Patient enrollment occurred on a rolling basis, and data collection was extended for 3 months after treatment initiation for each patient. Chi-square tests compared changes from pre-PHE to PHE time periods within telehealth and in-person treatment cohorts. The dependent measures included patient diagnosis, clinicians providing treatment services, and type of treatment services provided at each encounter. The 4780 patients in the telehealth cohort and the 6457 patients in the in-person cohort had an average of 3.5 encounters during the 3-month follow-up period. RESULTS: The encounters involving anxiety, dissociative, and stress-related disorders in the telehealth cohort increased from 30% (698/2352) in the pre-PHE period to 35% (4632/12,853) in the PHE period (P<.001), and encounters involving substance use disorders in the in-person cohort increased from 11% (468/4249) in the pre-PHE period to 18% (3048/17,047) in the PHE period (P<.001). The encounters involving treatment service codes for alcohol, drug, and medication-assisted therapy in the telehealth cohort increased from 1% (22/2352) in the pre-PHE period to 11% (1470/13,387) in the PHE period (P<.001); likewise, encounters for this type of service in the in-person cohort increased from 0% (0/4249) in the pre-PHE period to 16% (2687/17,047) in the PHE period (P<.001). From the pre-PHE to the PHE period, encounters involving 60-minute psychotherapy in the telehealth cohort increased from 8% (190/2352) to 14% (1802/13,387; P<.001), while encounters involving group therapy in the in-person cohort decreased from 12% (502/4249) to 4% (739/17,047; P<.001). CONCLUSIONS: The COVID-19 pandemic challenged health service providers, and they adjusted the way both telehealth and in-person behavioral therapy services were delivered. Looking forward, future research is needed to explicate the interaction of patient, provider, setting, and intervention factors that influenced the patterns observed as a result of the COVID-19 pandemic.

Offering an Alternative to Persons with Chronic Pain: How Access to Cannabis May Provide an Off-Ramp from Undesired Prescription Opioid Use.

Background: Chronic pain (CP) is experienced by as many as 50 million Americans and can negatively impact physical and mental health. Prescribing opioids is the most common approach to address moderate to severe CP though these potent analgesics are associated with a significant number of side effects. One alternative some Americans are turning to for CP management is cannabis. In addition to serving as an alternative, many individuals with CP use cannabis in addition to using prescription opioids. This study examined individuals with CP who enrolled in the state of Illinois' opioid diversion program, the Opioid Alternative Pilot Program (OAPP), which offers individuals aged 21 and older a separate pathway to access medical cannabis if they have or could receive a prescription for opioids as certified by a licensed physician. Methods: Cross-sectional survey data were collected from 450 participants. We described participants and compared those who use only cannabis with those who use cannabis and opioids. Results: While 16% of the respondents were cannabis-only users, 84% of the respondents were co-users of opioids and cannabis. Both groups considered opioid use risky (100% cannabis-only, 89% co-users,). The majority (73%) of respondents sought to completely stop or never start using opioids for CP. Cannabis-only users reported lower levels of pain compared to co-users. Co-users (85%) were more likely to have their routine provider as a cannabis certifying physician than cannabis-only users (69%). Conclusion: With increasing clinical evidence, legalization and acceptance, researchers should continue to examine how cannabis may be a viable alternative to reduce the risk of prescription opioid side effects, misuse, or dependence. Our findings also inform health care providers and state policymakers who increasingly are being asked to consider how cannabis may reduce the potential for harmful outcomes among persons with CP who use prescription opioids.

Change in Drug Use Disorders Identification Test - Consumption (DUDIT-C) with Telehealth Treatment Compared to in-Person Treatment.

Background and Objectives: There is little published evidence for the effectiveness of telehealth in the treatment of substance use disorders. Methods: We analyzed Drug Use Disorders Identification Test - Consumption (DUDIT-C) scores from 360 patients who completed the measure as part of outpatient behavioral health treatment at rural clinic sites. Some patients received in-person care, while others received telehealth. Results were analyzed using multiple regression. Results: Mean DUDIT-C scores improved with treatment in both cohorts. Changes on the DUDIT-C were related to initial scores. Treatment modality (telehealth vs in-person) had no distinguishable association with outcomes. Discussion and Conclusions: Results showed no discernible difference in outcomes between telehealth and in-person cohorts. Telehealth was as effective as in-person care in the treatment of substance use disorders, and appears to be equivalent to in-person care in rural outpatient settings.

Comparison of Telehealth and In-Person Behavioral Health Services and Payment in a Large Rural Multisite Usual Care Study.

Background: Telehealth and in-person behavioral health services have previously shown equal effectiveness, but cost studies have largely been limited to travel savings for telehealth cohorts. The purpose of this analysis was to compare telehealth and in-person cohorts, who received behavioral health services in a large multisite study of usual care treatment approaches to examine relative value units (RVUs) and payment. Methods: We used current procedural terminology codes for each encounter to identify RVUs and Medicare payment rates. Mixed linear regression models compared telehealth and in-person cohorts on RVUs, per-encounter payment rates, and total-episode payment rates. Results: We found the behavioral health services provided by telehealth to have modest, but statistically significantly lower RVUs (i.e., less provider work in time spent and case complexity), per-encounter payments, and total episode payments than the in-person cohort. Despite Medicare rates discounting payments for nonphysician providers and the in-person cohort using clinical social workers more frequently, the services provided by the telehealth cohort still had lower payments. Thus, the differences observed are due to the in-person cohort receiving higher payment RVU services than the telehealth cohort, which was more likely to receive briefer therapy sessions and other less expensive services. Conclusions: Behavioral health services provided by telehealth used services with lower RVUs than behavioral health services provided in-person, on average, even after adjusting for patient demographics and diagnosis. Observed differences in Medicare payments resulted from the provider type and services used by the two cohorts; thus, costs and insurance reimbursements may vary for others.

Telehealth Services for Primary Care and Urgent Care to Support Rural Schools and Students.

Background: School-based health services, particularly those available to underserved and rural communities, remain in high demand. Advancements in telehealth services present clinical resources otherwise typically unavailable to students from rural communities. Methods: Data were collected during 4 semesters on all students receiving primary care or urgent care health services from 8 school-based telehealth programs delivering care to 40 schools across the United States. Results: Across the 4 semesters, 2,769 students received primary care telehealth and 2,238 students received urgent care telehealth. The primary care telehealth services were delivered by a primary care provider with a registered nurse also involved in half of the encounters. In contrast, the urgent care telehealth services were delivered almost exclusively by a registered nurse. Primary care telehealth delivered a variety of services including medication management, counseling, and sports physicals in addition to assessments and evaluations. Urgent care telehealth primarily involved an assessment. Both services returned most students to the classroom without the need for further follow-up, thus reducing or eliminating the need for seeking health care outside of the school setting. Notably, 67.7% of students seeking primary care telehealth services did not have a primary care provider outside of the school, clearly demonstrating the importance of these school-based services in increasing access to basic health care services for these students in rural and underserved communities. Conclusions: Telehealth provides a reliable solution and immediate access to care for students in need of health care, which, in turn, presents advantages to educators and parents.

Classifying End-of-Life Patterns: Evidence From the National Health and Aging Trends Study.

BACKGROUND AND OBJECTIVES: End-of-life (EOL) care quality encompasses multiple domains, which are typically studied in silos. This paper explores interrelationships across domains and how they simultaneously shape patterns of EOL care quality. RESEARCH DESIGN AND METHODS: Secondary analysis using National Health and Aging Trends Study. Latent class analysis was used to identify subgroups of decedents according to quality of symptoms and needs management, care experience, care processes, and site of death. Multinomial logistic regression was employed to investigate the association between decedent characteristics and class membership. RESULTS: Five groups of decedents were identified. Multiple sites of death with high care coordination (Class 4: 35%) comprised decedents with least concerns regarding symptom management and care experience. Decedents in Predominantly home deaths with no hospice use (Class 1: 26%), predominantly hospital deaths with low hospice use (Class 2: 18%), and multiple sites of death with hospice use (Class 3: 7%) presented similar symptom management and care experience patterns. Multiple sites of death with low care coordination (Class 5: 14%) comprised decedents experiencing poor quality EOL care across multiple domains. Non-Hispanic Black and Hispanic decedents were more likely to be in Class 2 and decedents with dementia diagnosis in Class 4. DISCUSSION AND IMPLICATIONS: There is considerable heterogeneity in EOL care patterns. Assessing quality based on discrete metrics in silos may lead to unintended consequences like stinting of necessary care or increased caregiving burden on families. There is a need for greater focus on patient-centeredness and how care processes and structures interact in the context of shifting care patterns, care preferences, and payment reforms.

Overview of School-Based Telehealth Network Grant Program Services Delivered to Students in Rural Schools.

Telehealth can expand and enhance access to school-based health care, but its use has been relatively limited. Recognizing that school-based health care is still not reaching many students, the Health Resources and Services Administration (HRSA) funded the School Based Telehealth Network Grant Program to expand telehealth in rural school-based settings to help to increase the availability and use of these services. The 19 grantees delivered telehealth to over 200 schools across 17 states, choosing which services they would deliver and how. Looking across the services, these fell into three categories - primary/urgent care, behavioral health, and other more specialized services. The majority of grantees offered multiple telehealth services with the combination of behavioral health and primary/urgent care the most common. The current study adds to the literature by elucidating that telehealth in schools can address multiple clinical conditions through separate services even though doing so involves using various combinations of clinicians providing different services.

Comparison of in-person vs. telebehavioral health outcomes from rural populations across America.

BACKGROUND: This study investigates outcomes from two federal grant programs: the Evidence-Based Tele-Behavioral Health Network Program (EB THNP) funded from September 2018 to August 2021 and the Substance Abuse Treatment Telehealth Network Grant Program (SAT TNGP) funded from September 2017 to August 2020. As part of the health services implementation program, the aims of this study were to evaluate outcomes in patient symptoms of depression and anxiety across the programs' 17 grantees and 95 associated sites, with each grantee having data from telehealth patients and from an in-person comparison group. METHODS: The research design is a prospective multi-site observational study. Each grantee provided data on a nonrandomized convenience sample of telehealth patients and an in-person comparison group from sites with similar rural characteristics and during the same time period. Patient characteristics were collected at treatment initiation, and clinical outcome measures were collected at baseline and monthly. The validated clinical outcome measure instruments included the Patient Health Questionnaire-9 (PHQ-9) for depression symptoms and the Generalized Anxiety Disorder-7 (GAD-7) scale for anxiety-related symptoms. Linear mixed models, with grantee as the random effect, were used to determine the association of behavioral health delivery (telehealth versus in-person) on the one-month change in PHQ-9 and GAD-7 while adjusting for covariates. RESULTS: Across a total of 1,514 patients, one-month change scores were improved indicating that PHQ-9 and GAD-7 scores decreased from baseline to the one-month follow-up at similar rates in both the in-person and telehealth groups. Reduction in scores averaged 2.8 for the telehealth treatment group and 2.9 for the in-person treatment group in the PHQ-9 subsample and 2.0 for the telehealth treatment group and 2.4 for the in-person treatment group in the GAD-7 subsample. There was no statistically significant association between the modality of care (telehealth treatment group versus in-person comparison group) and the one-month change scores for either PHQ-9 or GAD-7. Individuals with higher baseline scores demonstrated the greatest decrease in scores for both measures. Upon adjusting for baseline scores and grantee program, patient demographics were not found to be significantly associated with change in anxiety or depression symptoms. CONCLUSION: In our very large pragmatic study comparing behavioral health treatment delivered to a population of patients in rural, underserved communities, we found no clinical or statistical differences in improvements in depression or anxiety symptoms as measured by the PHQ-9 and GAD-7 between patients treated via telehealth or in-person.

Two Teledentistry Models for the Provision of Essential Oral Health Care Services in Rural School Settings.

Purpose: Access to adequate dental services is limited for children in rural communities in the United States.The purpose of this paper was to describe how two school-based teledentistry programs increased access to oral health services for children and adolescents living in rural areas.Methods: The School-Based Telehealth Network Grant Program (SB TNGP) was designed to expand access to, and improve the quality of health care services in schools through telehealth. Data were collected from July 1 to December 31, 2019 on 164 students at 7 preschool sites by Marshfield Clinic Health System (MCHS) and on 1,467 students at 57 school sites by Children's Dental Services (CDS).Results: Both MCHS and CDS reported that over 99 percent of encounters were successfully completed using telehealth technology. Both grantees reported that 99.4 percent of students received an oral health evaluation/screening, primarily through a dental hygienist traveling to the school site connected to a dentist or advanced dental therapist through telehealth. One half of the students had dental caries (50.6 % MCHS; 48.6% CDS). Both grantees referred all students with dental caries for oral health follow-up care.Conclusions: By utilizing dental hygienists traveling to school sites and connecting with centrally located dental professionals through telehealth, both grantees increased access to needed oral health care services for rural children. Oral health screening in school settings using dental hygienists with teledentistry can provide an efficient way to identify students at high risk for dental caries and offer a valuable strategy for oral disease prevention and control.

Describing Changes in Telebehavioral Health Utilization and Services Delivery in Rural School Settings in Pre- and Early Stages of the COVID-19 Public Health Emergency.

BACKGROUND: Receiving treatment for behavioral health disorders remains problematic due to profound provider shortages. Telebehavioral health services are effective for providing quality care, but research literature on these services in schools is limited. METHODS: Data were collected during Fall 2019 and Spring 2020 semesters on all students receiving telebehavioral health services from 15 school-based telehealth programs across the U.S. RESULTS: From Fall 2019 to Spring 2020, 62 schools providing services during both periods increased the number of students served from 396 to 745, increased the average number of encounters per student from 2.4 to 4.1, increased the percentage of encounters delivered by clinical social workers, mental health counselors, and clinical psychologists (all p < .001), and increased the use of individual counseling, family counseling, and group counseling (all p < .001). Schools that initiated the service in Spring 2020 (n = 25) averaged 6.5 encounters for the 301 students receiving services, delivered mostly by clinical social workers or professional counselors, using individual counseling. CONCLUSION: Overall, data indicate programs significantly increased both behavioral services provided to their ongoing schools and increased the number of schools served. Undoubtedly telebehavioral health care delivery provided a swift and necessary response to the challenges posed by the growing pandemic threat.

COVID-19 Vaccine Hesitancy Among Community-Dwelling Older Adults: The Role of Information Sources.

Despite high enthusiasm surrounding the rollout of the COVID-19 vaccine, some older adults continue to remain hesitant about its receipt. There is limited evidence on vaccine hesitancy among community-dwelling older adults. In this study, we examine the prevalence and predictors (particularly the role played by information sources) of vaccine hesitancy in this group. We use the Medicare Current Beneficiary Survey and employ multivariable logistic regression models to explore this. Relative to those relying on regular news, those depending on health care providers (HCPs), social media, other internet/webpages, and family/friends as the main information source on COVID-19 expressed higher negative vaccine intent. The high negative intent with HCPs as the main information source should be interpreted with caution. This could be reflective of the timing of the survey and changing attitude toward the vaccine among HCPs themselves.

Legalization of Medical Cannabis and Site of Death: Evidence From National Vital Statistics Mortality Data.

We examined whether Medical Marijuana Legislation (MML) was associated with site of death. Using state-level data (1992-2018) from the National Vital Statistics System (NVSS), we employed difference-in-differences method to compare changes in death rate among older adults at four sites-nursing home (NH), hospital, home, hospice/other-over time in states with and without MML. Heterogeneity analyses were conducted by timing of MML adoption, and by decedent characteristics. Results show a negative association between MML implementation and NH deaths. Among early adopters (states with weakly regulated programs) and decedents with musculoskeletal disorders, there was a positive association between MML implementation and hospital deaths, whereas among late adopters (states with "medicalized" programs), there was a positive association between MML implementation and hospice deaths. Decline in NH deaths may reflect increased likelihood of transfers due to threat of Federal enforcement, penalties for poor outcomes, and liability concerns. Future studies should examine these associations further.

Cannabis Use among Older Persons with Arthritis, Cancer and Multiple Sclerosis: Are We Comparing Apples and Oranges?

Although researchers have identified medications that relieve symptoms of multiple sclerosis (MS), none are entirely effective and some persons with multiple sclerosis (PwMS) use alternatives. Our study compared cannabis use among PwMS (N = 135) and persons diagnosed with arthritis (N = 582) or cancer (N = 622) who were age 60 and older, enrolled in the State of Illinois Medical Cannabis Program, and invited to complete a survey fielded between June and September, 2019. We used logistic regression to identify significant differences in self-reported effects of cannabis on psychological wellbeing, quality of life, and three behavioral outcomes, and we also considered effects of past year opioid use relative to these outcomes. We found that the majority of individuals from all groups used cannabis to address pain and improve quality of sleep. While PwMS reported lower baseline levels across all five outcomes, we found that the reported effects of cannabis were largely comparable across the groups. We also found that cannabis benefitted persons with sleep and digestive issues regardless of condition, whereas persons who used opioids in addition to cannabis were less likely to experience an improvement in any of the outcomes. This comparative evaluation suggests that cannabis' effects are not specific to MS, arthritis, or cancer as much as they impact processes common among these distinct conditions. We also found evidence that cannabis may be a viable alternative to opioids for those with these conditions and experiencing pain.

Dementia and Cognitive Decline in Older Adulthood: Are Agricultural Workers at Greater Risk?

OBJECTIVES: To examine whether long-term exposure to agricultural work is associated with dementia prevalence and the rate of cognitive change in older adulthood. METHOD: We employed data from the Health and Retirement Study (1998-2014). Multiple logistic regression was used to determine whether a longest-held job in the agricultural sector was associated with differences in dementia prevalence. We examined if hearing impairment, depression, and physical health indicators mediated the relationship between agricultural work and cognitive functioning. Subgroup analyses were done by age, retirement status, job tenure, and cognitive domain. We employed growth curve models to investigate implications of agricultural work on age trajectories of cognitive functioning. RESULTS: Longest-held job in agriculture, fishing, and forestry (AFF) was associated with 46% greater odds of having dementia. The relationship between AFF exposure and cognitive functioning was not mediated by hearing impairment, depression, or physical health indicators. Results were stronger among younger and retired older adults as well as those with extensive job tenure. AFF exposure was associated with lower scores in working memory and attention and processing speed. Growth curve models indicated that while agricultural work exposure was associated with lower initial levels of cognitive functioning, over time, the pattern reversed with individuals in non-AFF jobs, showing more accelerated cognitive decline. DISCUSSION: Consistent with European studies, results from the United States also demonstrate a higher prevalence of dementia among agricultural workers. The cognitive reserve framework may explain the seemingly paradoxical result on age patterning of cognitive performance across older adults with different work histories.

Smoking and Alcohol Consumption Following a New Dementia Diagnosis.

OBJECTIVES: Despite extensive research on lifestyle factors that influence the risk of developing dementia, limited evidence exists on whether older adults adopt healthier habits post-diagnosis in the hope of preserving their quality of life. METHOD: Using panel data (1998-2014) from the Health and Retirement Study, this study investigated whether individuals who received a new dementia diagnosis were more likely to modify smoking and drinking behaviors than those without such a diagnosis. Propensity score weighting was used to adjust for observable differences between groups. RESULTS: Older adults with a new dementia diagnosis were 2.8 times more likely to reduce alcohol consumption than those without such a diagnosis. This result was mainly attributable to "light" drinkers at baseline and appeared to fade over time. We found no statistically significant effect of a dementia diagnosis on smoking cessation or on reduction in the number of cigarettes smoked. These results were robust to multiple sensitivity tests, including the use of cognition scores to indicate dementia onset instead of self-reported physician diagnosis. DISCUSSION: A new dementia diagnosis can serve as a window of opportunity that prompts some older adults to change habits related to alcohol consumption. This has important implications for clinical practice surrounding dementia diagnosis disclosure, the rates of which are currently much lower than other medical conditions.

Tele-emergency behavioural health in rural and underserved areas.

INTRODUCTION: Challenges accessing behavioural health services in rural and underserved areas are compounded by severe shortages of behavioural health specialists, and difficulties placing patients. Tele-emergency (tele-ED) behavioural health is a promising solution for enhancing access to specialists and assisting in patient placement. This paper describes two tele-ED behavioural health models in the Midwest delivering mental- and substance use disorder services to rural and underserved adult populations. METHODS: We performed an in-depth examination of two tele-ED behavioural health programmes and their consultation processes. We provide a retrospective case-control analysis of patient characteristics, patient diagnoses, and disposition status for each model. Data were collected from 19 spoke hospitals across the two programmes between November 2015 and December 2017. RESULTS: Tele-ED was activated in 15% of the Avera Health sample and 58% of the Union Hospital sample. This is primarily a reflection of the sample selection process in each model and how each programme is operationalised. Suicide and/or poisoning by drugs were the most frequent diagnoses followed by mood disorders. Rate of transfer to another inpatient facility was much higher for tele-ED cases than controls in both models. DISCUSSION: This paper describes how two distinct tele-ED behavioural health models operating in unique contexts address challenges in access and placement for patients in rural and underserved areas presenting to EDs with behavioural health conditions. The notable difference in disposition rates between cases and controls is indicative of the impact each model is having on care practices and processes.

Cannabis Use among Persons with Dementia and Their Caregivers: Lighting up an Emerging Issue for Clinical Gerontologists.

Objectives: Our goal is to illuminate cannabis use among persons with dementia (PwD) and their informal caregivers relative to the use of evidence-based as well as other complementary and alternative care practices. Methods: We analyzed focus group (FG) narratives provided by 26 caregivers of PwD and identified five themes concerning the provision of cannabis to PwD and caregivers' self-use. Results: Three of the 26 caregivers provided PwD cannabis and also used themselves, another 3 of the 26 used themselves only, and all but two of the remaining FG participants indicated they would consider providing cannabis to PwD or using for themselves. These caregivers expressed a desire to obtain more empirically-based information about cannabis and to discuss options with their clinical care providers. Conclusions: A small but significant proportion of caregivers are providing cannabis to PwD as a possible treatment for agitation, sleep disturbances and other problematic secondary symptoms and using for themselves as way to relieve stress. Many other caregivers may start using cannabis upon receiving information and guidance from a credible source. Clinical Implications: Notwithstanding the need for more research, clinical gerontologists and other dementia care specialists are being looked upon to provide information and guidance about the benefits and harms of cannabis use among PwD and their caregivers.

Assessing Health and Safety Concerns and Psychological Stressors among Agricultural Workers in the U.S. Midwest.

There is limited research exploring agricultural workers' own perspectives on the relative importance of the hazards and stressors they experience. There is also a lack of evidence on whether this reporting differs by method of elicitation. Finally, very little research exists on how to improve mail survey response rates among agricultural workers. We examined health and safety concerns and psychological stressors among Midwestern farmers. We assessed whether these reports varied by survey mode (mail survey versus in-person survey). The efficacy of two different types of incentives to enhance mail survey response rates among agricultural workers was also investigated. In 2018, a needs assessment survey was developed and mailed to a random sample of farm owner-operators in Iowa, Ohio, and Missouri, with randomly assigned prepaid or promised monetary incentives. In-person surveys were conducted among farm owner-operators and hired workers at three regional farm shows in Iowa, Minnesota, and Nebraska. The mail survey response rates were compared by incentive type. Content analysis was used to generate themes associated with health and safety concerns and psychological stressors, which were then ranked by frequency counts. Chi-square tests were used to analyze variation in the distribution of these themes by survey mode. The response rate for the $1 prepaid incentive was double that of the $10 promised incentive. Content analysis identified 13 health and safety concerns and eight psychological stressors. Chemicals, equipment/tools, and health outcomes were the most frequently noted health and safety concerns. Finances, climate/weather, and farm workload and management were the most frequently noted psychological stressors. Although there was considerable overlap in survey responses across mail and in-person respondents, important differences by sample and survey mode characteristics were observed. The results can support a variety of stakeholders in prioritizing and developing interventions and educational resources to address health and safety concerns and psychological stressors among Midwestern farmers. Our findings also contribute to the evidence base on primary data collection methods for agricultural workers.