Psychosocial risk at work and mental illness in hospital workers

There is growing evidence on the association between exposure to psychosocial risk at work and adverse health outcomes. Objective: to describe and analyze the presence of psychosocial risks at work and mental health symptoms in non-clinical workers from a public hospital. Methods: a crosssectional study was conducted at a public hospital in Santiago (Chile). A self-administered questionnaire was applied to assess exposure to psychosocial risks (demand-control and effort-reward imbalance models). The outcome variables were depression symptoms, anxiety symptoms, and psychotropic drug consumption. The analysis was descriptive and associative (Fisher’s exact test) Results: 47% of the workers showed high psychological demands, 46% low autonomy, 61% low social support and 75% imbalance between effort expended and rewards received. The prevalence of depressive and anxious symptoms in the total sample was 10% and 30% respectively, while 25% reported having used psychotropic drugs. The consumption of psychotropic drugs was significantly higher (p < 0.05) among those with low social support and effort-reward imbalance. Discussion: the consumption of psychotropic drugs was associated with low social support and imbalance between efforts expended and rewards received. This might have implications in the workers’ health and performance; therefore, further research is required, particularly on this kind of population, to understand this relationship and thus develop prevention programs in this regard

Effect on background checks of newly-enacted comprehensive background check policies in Oregon and Washington: a synthetic control approach

BackgroundComprehensive background check (CBC) laws extend background check requirements to private party firearm transfers to prevent firearm acquisitions by prohibited persons. The aim of our study was to estimate the association between CBC policies and changes in background check rates for firearm acquisition in two states (Oregon and Washington) that have newly-enacted CBC policies.MethodsWe used data on handgun background checks from January 1999 to December 2018 from the National Instant Criminal Background Check System. Observed trends in exposed states were contrasted with counterfactual trends estimated with the synthetic control group method.FindingsCBC policies were associated with increases in background checks in Oregon (by 18.0%; p = 0.074), but not in Washington (4%; p = 0.321). A gradual increase in private party checks was seen following enactment in Washington; however, firearm transactions coded as "private" represent less than 5% of total background checks in that state.ConclusionsComprehensive background check policies appear to be effective in increasing pre-firearm-sale background checks in Oregon but not in Washington. Differences appear to be related to variations in the proportion of firearm sales that are private party transfers and to gradual adaptation to the new law by private gun sellers

Limiting Alcohol Outlet Density to Prevent Alcohol Use and Violence: Estimating Policy Interventions Through Agent-Based Modeling.

Increasing alcohol outlet density is well-documented to be associated with increased alcohol use and problems, leading to the policy recommendation that limiting outlet density will decrease alcohol problems. Yet few studies of decreasing problematic outlets and outlet density have been conducted. We estimated the association between closing alcohol outlets and alcohol use and alcohol-related violence, using an agent-based model of the adult population in New York City. The model was calibrated according to the empirical distribution of the parameters across the city's population, including the density of on- and off-premise alcohol outlets. Interventions capped the alcohol outlet distribution at the 90th to the 50th percentiles of the New York City density, and closed 5% to 25% of outlets with the highest levels of violence. Capping density led to a lower population of light drinkers (42.2% at baseline vs. 38.1% at the 50th percentile), while heavy drinking increased slightly (12.0% at baseline vs. 12.5% at the 50th percentile). Alcohol-related homicides and nonfatal violence remained unchanged. Closing the most violent outlets was not associated with changes in alcohol use or related problems. Results suggest that focusing solely on closing alcohol outlets might not be an effective strategy to reduce alcohol-related problems

Cross-country differences in age trends in alcohol consumption among older adults: a cross-sectional study of individuals aged 50 years and older in 22 countries

BACKGROUND AND AIMS: Age-related changes in physiological, metabolic and medication profiles make alcohol consumption likely to be more harmful among older than younger adults. This study aimed to estimate cross-national variation in the quantity and patterns of drinking throughout older age, and to investigate country-level variables explaining cross-national variation in consumption for individuals aged 50 years and older. DESIGN: Cross-sectional observational study using previously harmonized survey data. SETTING: Twenty-two countries surveyed in 2010 or the closest available year. PARTICIPANTS: A total of 106 180 adults aged 50 years and over. MEASUREMENTS: Cross-national variation in age trends were estimated for two outcomes: weekly number of standard drink units (SDUs) and patterns of alcohol consumption (never, ever, occasional, moderate and heavy drinking). Human Development Index and average prices of vodka were used as country-level variables moderating age-related declines in drinking. FINDINGS: Alcohol consumption was negatively associated with age (risk ratio = 0.98; 95% confidence interval = 0.97, 0.99; P-value < 0.001), but there was substantial cross-country variation in the age-related differences in alcohol consumption [likelihood ratio (LR) test P-value < 0.001], even after adjusting for the composition of populations. Countries' development level and alcohol prices explained 31% of cross-country variability in SDUs (LR test P-value < 0.001) but did not explain cross-country variability in the prevalence of heavy drinkers. CONCLUSIONS: Use and harmful use of alcohol among older adults appears to vary widely across age and countries. This variation can be partly explained both by the country-specific composition of populations and country-level contextual factors such as development level and alcohol prices

Changes in opioid prescribing after implementation of mandatory registration and proactive reports within California’s prescription drug monitoring program

BackgroundIn 2016, California updated its prescription drug monitoring program (PDMP), adding two key features: automated proactive reports to prescribers and mandatory registration for prescribers and pharmacists. The effects of these changes on prescribing patterns have not yet been examined. We aimed to evaluate the joint effect of these two PDMP features on county-level prescribing practices in California.MethodsUsing county-level quarterly data from 2012 to 2017, we estimated the absolute change associated with the implementation of these two PDMP features in seven prescribing indicators in California versus a control group comprising counties in Florida and Washington: opioid prescription rate per 1000 residents; patients' mean daily opioid dosage in milligrams of morphine equivalents[MME]; prescribers' mean daily MME prescribed; prescribers' mean number of opioid prescriptions per day; percentage of patients getting &gt;90 MME/day; percentage of days with overlapping prescriptions for opioids and benzodiazepines; multiple opioid provider episodes per 100,000 residents.ResultsProactive reports and mandatory registration were associated with a 7.7 MME decrease in patients' mean daily opioid dose (95 %CI: -11.4, -2.9); a 1.8 decrease in the percentage of patients prescribed high-dose opioids (95 %CI: -2.3, -0.9); and a 6.3 MME decrease in prescribers' mean daily dose prescribed (95 %CI: -10.0, -1.3).ConclusionsCalifornia's implementation of these two PDMP features was associated with decreases in the total quantity of opioid MMEs prescribed, and indicators of patients prescribed high-dose opioids compared to states that had PDMP's without these features. Rates of opioid prescribing and other high-risk prescribing patterns remained unchanged

Prescription Drug Monitoring Programs and Opioid Overdoses

BACKGROUND:Prescription drug monitoring program are designed to reduce harms from prescription opioids; however, little is known about what populations benefit the most from these programs. We investigated how the relation between implementation of online prescription drug monitoring programs and rates of hospitalizations related to prescription opioids and heroin overdose changed over time, and varied across county levels of poverty and unemployment, and levels of medical access to opioids. METHODS:Ecologic county-level, spatiotemporal study, including 990 counties within 16 states, in 2001-2014. We modeled overdose counts using Bayesian hierarchical Poisson models. We defined medical access to opioids as the county-level rate of hospital discharges for noncancer pain conditions. RESULTS:In 2010-2014, online prescription drug monitoring programs were associated with lower rates of prescription opioid-related hospitalizations (rate ratio 2014 = 0.74; 95% credible interval = 0.69, 0.80). The association between online prescription drug monitoring programs and heroin-related hospitalization was also negative but tended to increase in later years. Counties with lower rates of noncancer pain conditions experienced a lower decrease in prescription opioid overdose and a faster increase in heroin overdoses. No differences were observed across different county levels of poverty and unemployment. CONCLUSIONS:Areas with lower levels of noncancer pain conditions experienced the smallest decrease in prescription opioid overdose and the faster increase in heroin overdose following implementation of online prescription drug monitoring programs. Our results are consistent with the hypothesis that prescription drug monitoring programs are most effective in areas where people are likely to access opioids through medical providers