Does social context matter? An ecological momentary assessment study of marijuana use among college students

IntroductionPast research has shown that marijuana use occurs commonly in social situations for young adults, though few studies have examined the association between immediate social context and marijuana use patterns and associated problems. The current study examined the impact of demographics, marijuana use and problem use, alcohol use, craving, and social context on the likelihood of using marijuana with others via ecological momentary assessment (EMA).MethodsCollege-student marijuana users (N = 56) were recruited and completed a baseline assessment and training on the two-week signal-contingent EMA protocol. Participants were sent text messages three times per day randomly for two weeks.ResultsOf the 1131 EMA instances during which participants reported using marijuana, 862 (76.22%) were labeled as being with others. Forty-five participants (80.36%) reported marijuana use with others present during at least half of the times they used marijuana. Findings from a multilevel logistic regression model showed a significant positive association between the probability of using with others and minutes spent using marijuana (b = 0.047, p < 0.001), social facilitation (b = 0.138, p < 0.001), and DSM-IV diagnosis (dependence versus no diagnosis, b = 1.350, p = 0.047).ConclusionsCannabis dependence, more time using marijuana in the moment, and using for social facilitation purposes were positively associated with using marijuana in the context of being with others. Daily users had more variability in terms of the social context of their use. This study illustrates the complex relationship between social context and marijuana use.     

Recent advances in the development of vaccines for chronic inflammatory autoimmune diseases

Chronic inflammatory autoimmune diseases leading to target tissue destruction and disability are not only causing increase in patients’ suffering but also contribute to huge economic burden for the society. General increase in life expectancy and high prevalence of these diseases both in elderly and younger population emphasize the importance of developing safe and effective vaccines. In this review, at first the possible mechanisms and risk factors associated with chronic inflammatory autoimmune diseases, such as rheumatoid arthritis (RA), multiple sclerosis (MS), systemic lupus erythematosus (SLE) and type 1 diabetes (T1D) are discussed. Current advances in the development of vaccines for such autoimmune diseases, particularly those based on DNA, altered peptide ligands and peptide loaded MHC II complexes are discussed in detail. Finally, strategies for improving the efficacy of potential vaccines are explored.     

Estimating costs and health outcomes of publicly funded tick-born encephalitis vaccination: A cost-effectiveness analysis

BackgroundThe number of notified cases of Tick-Borne Encephalitis (TBE) in Sweden has been increasing the past years despite the increased use of TBE-vaccine not subsidized by the healthcare system. Stockholm County is a high endemic area and an earlier study has shown that low-income households have lower vaccination coverage even when they are at high risk. This paper aims to determine the cost-effectiveness of a publicly funded TBE vaccination program in Stockholm.MethodsIn three different cohorts with individuals aged 3, 40 or 50 years, long-term costs and health outcomes of an out-of-pocket strategy (53% of the cohort is vaccinated on their own expenses) and a structured vaccination program (full cohort is vaccinated covered by the publicly funded health care system), were estimated using a Markov model. The Markov model predicts the costs and effects in term of Quality-adjusted Life Years (QALYs) over a lifetime horizon using a third-party healthcare payer perspective. The primary results are presented as an incremental cost effectiveness ratio (ICER) indicating the additional cost required to achieve one additional QALY with the structured vaccination program.ResultsThe results show that the structured vaccination program is associated with a gain in QALYs and increased costs compared with an out-of-pocket strategy. The calculated ICERs were 27 761, 99 527 and 160 827 SEK/QALY in cohorts of age 3, 40 and 50, respectively. The sensitivity analyses showed that the results are robust when varying different parameters.ConclusionGiven the setting of Stockholm county, this analysis shows a cost per QALY of a free vaccinations program, especially for children of 3 years old, below generally acceptable cost-effectiveness thresholds in Sweden.     

The effectiveness of massage with and without dimethyl sulfoxide in preventing pressure ulcers: a randomized, double-blind cross-over trial in patients prone to pressure ulcers

Background

Although guidelines advise against massage, it is one of the methods widely regarded and used by nurses to prevent pressure ulcers (PU).

Objectives

The purpose of this study was to examine the effectiveness of different variations of massage in preventing pressure ulcers.

Methods

A randomized, double-blind cross-over design, in which patients of nursing homes who are prone to PU underwent two of the three possible interventions; ‘position changes only’, ‘massaging with an indifferent cream’ and ‘massaging with a dimethyl sulfoxide (DMSO) cream’.

Results

The results of three interventions did not differ significantly. DMSO did not fulfil the expectations raised by literature and a previous pilot-study.     

Identifying a ‘super-responder' phenomenon in three African countries: Implications for prehospital emergency care training

BackgroundFew countries in Sub-Saharan Africa have robust emergency medical services (EMS). The WHO recommends training lay first responders (LFRs) as the first step toward EMS development while Disease Control Priorities (DCP) suggests training 0.5%-1% of a population for adequate emergency catchment. After launching three LFR programs in Africa, this study investigated subsequent skill usage and conducted demographic analyses to inform future recruitment of high-responding LFRs.MethodsDemographic characteristics and individual LFR intervention frequencies were collected from a pooled sample of 887 of 1,291 total LFRs (68.7%) trained across programs launched in a staggered fashion between 2016-2019 in Uganda, Chad, and Sierra Leone. A Kruskal-Wallis Rank-Sum test assessed between-group differences among demographics in each location. Spearman's r was used to determine the relationship between response frequency and LFR characteristics.ResultsMost LFRs trained did not use skills post-training (median LFR interventions=0.0 interventions/year [IQR:0.0,5.0]). Right-skewed intervention frequency distributions demonstrate high-responding outlier responder groups do exist in all locations (p<0.0001). Median LFR interventions of the top quartile of these active LFRs (“super-responders”) was 26.0 interventions/year (IQR:16.7,35.0). “Super-responders” witnessed more road traffic injuries (RTIs) prior to training (p=0.033). LFRs who never responded were significantly younger (p=0.0020). Significant correlations were demonstrated between pooled RTIs witnessed and intervention frequency (r=0.13, p=0.032) and age and intervention frequency in Sierra Leone (r=-0.15, p=0.019).ConclusionCurrent DCP-recommended training of 0.5-1% of a given population for adequate emergency catchment may be an inefficient means of building emergency care capacity. Recruiting “super-responders” with select characteristics may achieve similar coverage while conserving valuable training resources in resource-limited African settings.     

Predicting donor,recipient and graft survival in living donor kidney transplantation to inform pretransplant counselling: the donor and recipient linked iPREDICTLIVING tool – a retrospective study

Although separate prediction models for donors and recipients were previously published, we identified a need to predict outcomes of donor/recipient simultaneously, as they are clearly not independent of each other. We used characteristics from transplantations performed at the Oslo University Hospital from 1854 live donors and from 837 recipients of a live donor kidney transplant to derive Cox models for predicting donor mortality up to 20 years, and recipient death, and graft loss up to 10 years. The models were developed using the multivariable fractional polynomials algorithm optimizing Akaike’s information criterion, and optimism-corrected performance was assessed. Age, year of donation, smoking status, cholesterol and creatinine were selected to predict donor mortality (C-statistic of 0.81). Linear predictors for donor mortality served as summary of donor prognosis in recipient models. Age, sex, year of transplantation, dialysis vintage, primary renal disease, cerebrovascular disease, peripheral vascular disease and HLA mismatch were selected to predict recipient mortality (C-statistic of 0.77). Age, dialysis vintage, linear predictor of donor mortality, HLA mismatch, peripheral vascular disease and heart disease were selected to predict graft loss (C-statistic of 0.66). Our prediction models inform decision-making at the time of transplant counselling and are implemented as online calculators.     

Discriminant Analysis of the Self-Administered Alcoholism Screening Test

For a sample of 1156 patients (520 alcoholics and 636 nonalcoholics), discriminant function analyses were performed on the total score, a nine-item version, and a two-item version of the Self-Administered Alcoholism Screening Test (SAAST). With sensitivities set at 90 and 95%, specificities for the total score and nine-item versions ranged from 96.4 to 99.4%. Cross-validation of the nine-item version with the "jackknife" procedure resulted in only one additional misclassification of the 1156 subjects. Separate analyses of the male and female samples revealed that more items entered the discriminant function for women than for men and resulted in a higher, although clinically nonsignificant, percentage of correct classification for women. The results strongly support the use of either the total score or the nine-item version of the SAAST in large-scale screening for alcoholism in a medical patient population.