Systematic combinations of major cannabinoid and terpene contents in Cannabis flower and patient outcomes: a proof-of-concept assessment of the Vigil Index of Cannabis Chemovars.

BACKGROUND: Little is known about the frequency with which different combinations of phytochemicals (chemovars) arise in Cannabis flower or whether common chemovars are associated with distinct pharmacodynamics and patient health outcomes. This study created a clinically relevant, user-friendly, scalable chemovar indexing system summarizing primary cannabinoid and terpene contents and tested whether the most frequently consumed chemovars differ in their treatment effectiveness and experienced side effects. METHODS: Between 09/10/2016 and 03/11/2021, 204 people used the freely available, educational mobile software application, Releaf App, to record 6309 real-time consumption sessions using 633 distinct Cannabis flower products, unique at the user level, with terpene and cannabinoid potency information. The indexing system is based on retrospective data analysis of the products' primary and secondary terpene contents and tetrahydrocannabinol (THC) and cannabidiol (CBD) potencies and yielded a total of 478 distinct chemovars. Analyses of covariances (ANCOVAs) were used to compare symptom levels and side effects experienced across the five most common chemovars before and after cannabis consumption for app users overall and for those treating chronic pain and depression or anxiety. RESULTS: Examination of the five most frequently consumed chemovars showed significant differences in symptom treatment effectiveness for chronic pain and for depression and anxiety (ps < .001). While the effects varied in magnitude, the five chemovars were effective across conditions except for MC61 (mercene .01-0.49%/beta-caryophyllene .01 to 0.49%/THC 20-25%/CBD 0.01-1.0%), which exacerbated feelings of anxiety or depression. The chemovars also differed in their association with experiencing positive, negative, and context-specific side effects, with two chemovars, MC61 and MC62 (mercene .01-0.49%/beta-caryophyllene .01-0.49%/THC 20-25%/CBD 1-5%), generating two to three fewer positive side effects and as much as one more negative and two more context-specific side effects than the other three chemovars. CONCLUSIONS: The findings provide "proof-of-concept" that a simple, yet comprehensive chemovar indexing system can be used to identify systematic differences in clinically relevant patient health outcomes and other common experiences across Cannabis flower products, irrespective of the product's commercial or strain name. This study was limited by self-selection into cannabis and app use and a lack of user-specific information. Further research using this chemovar indexing system should assess how distinct combinations of phytochemicals interact with user-level characteristics to produce general and individualized Cannabis consumption experiences and health outcomes, ideally using randomized methods to assess differences in effects across chemovars.

The impact of Covid-19 on older workers' employment and Social Security spillovers.

The COVID-19 pandemic represents a major threat to health and economic well-being in the USA, especially for older and disabled workers, and may spill over onto Social Security. We use individual-level from the Current Population Survey, state-level monthly Social Security administrative data on disability benefit applications, and national-level monthly data on Social Security retirement benefit applications to assess the impact of the pandemic on older adults' employment and benefit claiming. State-level monthly Google Trends data are used as a leading indicator of future claiming in the population. We find that employment for older workers dropped substantially more than would have been predicted prior to the pandemic: employment for 50-61-year-olds was 5.7 pp (8.3 percent) lower, while employment for 62-70-year-olds was 3.9 pp (10.7 percent) lower. We find declines in labor force exit due to disability (4-5 percent), applications for disability insurance (15 percent), the average age of disability program applicants, and Google searches for disability (7 percent). We contrast with prior periods of economic downturn and explore potential mechanisms, finding evidence for both supply- and demand-side explanations. Supplementary information: The online version contains supplementary material available at 10.1007/s00148-022-00915-z.

Are Transplant Centers That Meet Insurer Minimum Volume Requirements Better Quality?

A pervasive viewpoint in health care is that higher patient volume leads to better outcomes, implying that facility volume can be used to identify high-quality providers. Hundreds of studies documenting a positive correlation between hospital volume and patient survival have motivated payers to use arbitrary minimum volume standards for elective surgical procedures, though it is unknown whether these policies actually improve patient outcomes. Using an instrumental variables approach, we show that minimum volume requirements in kidney transplantation do not reduce posttransplant mortality. These results suggest minimum volume requirements are not a useful proxy measure for quality and that restricting the number of hospitals from which patients can receive care could reduce access to necessary health care services.

How nurse gender influences patient priority assignments in US emergency departments.

The goals of this study were to compare whether emergency department (ED) patients' pain intensity (PI) is measured differently by male and female nurses and to determine whether PI, heart rate (HR), and respiratory rate (RR) were used to prioritize patient urgency differently by male and female nurses. The associations between patients' PI|HR|RR and the Emergency Severity Index (ESI) scores they were assigned by attending nurses were analyzed using a national database of electronic medical records of US Veterans Affairs ED patients from 2008 to 2012. A total of 129,991 patients presenting for emergency care (Mage = 59.5, 92% males) and their triage nurses (n = 774, Mage = 47.5, 18% males) were analyzed, resulting in a total of 359,642 patient-provider interactions. Patients' PI did not differ by the nurse's gender; however a cross-classified mixed-effects model showed that nurse gender influenced how PI and RR measurements informed the ESI levels that male patients received. Higher PI levels were associated with more urgent (higher priority) ESI levels by female nurses, yet less urgent ESI levels by male nurses. In contrast, male patients with high RR received more urgent ESI levels by male nurses, whereas the nurse gender did not influence ESI assignments for female patients. These findings show that ED patients receive disparate treatment based on inherent characteristics of their triage nurses, and more standardized (eg, automated) protocols that can account for implicit social factors on health care practice for reliably assessing and prioritizing ED patients may be currently warranted.