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OBJECTIVES:To examine the feasibility of a behavioural e-learning intervention to support nurses to manage interruptions during medication administration. DESIGN:A cluster randomised feasibility trial. SETTING:The cluster trial included four intervention and four control wards randomly selected across four metropolitan hospitals in Sydney, Australia. PARTICIPANTS:We observed 806 (402 pre-intervention and 404 post-intervention) medication events, where nurses prepared and administered medications to patients within the cluster wards. MAIN OUTCOME MEASURES:The primary outcome measured was the observed number of interruptions occurring during administration, with secondary outcomes being the number of clinical errors and procedural failures. Changes in the use of behavioural strategies to manage interruptions, targeted by the e-learning intervention, were also assessed. RESULTS:No significant differences were found in the number of interruptions (P = 0.82), procedural failures (P = 0.19) or clinical errors per 100 medications (P = 0.32), between the intervention and control wards. Differences in the use of specific behavioural strategies (engagement and multitasking) were found in the intervention wards. CONCLUSION:This behavioural e-learning intervention has not been found to significantly reduce interruptions, however, changes in the use of strategies did occur. Careful selection of clinical settings where there is a high number of predictable interruptions is recommended for further research into the impact of the behavioural e-learning intervention. An increase in the intensity of this intervention is recommended with training undertaken away from the clinical setting. Further research on additional consumer-sensitive interventions is urgently needed.

Background Earlier puberty is widely linked with future obesity and cardiometabolic disease. We examined whether age at puberty onset likely influences adiposity and cardiometabolic traits independent of childhood adiposity. Methods and findings One-sample Mendelian randomisation (MR) analyses were conducted on up to 3,611 white-European female and male offspring from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort recruited at birth via mothers between 1 April 1991 and 31 December 1992. Time-sensitive exposures were age at menarche and age at voice breaking. Outcomes measured at age 18 y were body mass index (BMI), dual-energy X-ray absorptiometry ±based fat and lean mass indices, blood pressure, and 230 cardiometabolic traits derived from targeted metabolomics (150 concentrations plus 80 ratios from nuclear magnetic resonance [NMR] spectroscopy covering lipoprotein subclasses of cholesterol and triglycerides, amino acids, inflammatory glycoproteins, and others). Adjustment was made for pre-pubertal BMI measured at age 8 y. For negative control MR analyses, BMI and cardiometabolic trait measures taken at age 8 y (before puberty, and which therefore cannot be an outcome of puberty itself) were used. For replication analyses, 2-sample MR was conducted using summary genome-wide association study data on up to 322,154 adults for post-pubertal BMI, 24,925 adults for post-pubertal NMR cardiometabolic traits, and 13,848 children for pre-pubertal obesity (negative control). Like observational estimates, 1-sample MR estimates in ALSPAC using 351 polymorphisms for age at menarche (explaining 10.6% of variance) among 2,053 females suggested that later age at menarche (per year) was associated with −1.38 kg/m2 of BMI at age 18 y (or −0.34 SD units, 95% CI −0.46, −0.23; P = 9.77 × 10−09). This coefficient attenuated 10-fold upon adjustment for BMI at age 8 y, to −0.12 kg/m2 (or −0.03 SDs, 95% CI −0.13, 0.07; P = 0.55). Associations with blood pressure were similar, but associations across other traits were small and inconsistent. In negative control MR analyses, later age at menarche was associated with −0.77 kg/m2 of pre-pubertal BMI measured at age 8 y (or −0.39 SDs, 95% CI −0.50, −0.29; P = 6.28 × 10−13), indicating that variants influencing menarche also influence BMI before menarche. Cardiometabolic trait associations were weaker and less consistent among males and both sexes combined. Higher BMI at age 8 y (per 1 kg/m2 using 95 polymorphisms for BMI explaining 3.4% of variance) was associated with earlier menarche among 2,648 females (by −0.26 y, 95% CI −0.37, −0.16; P = 1.16 × 10−06), likewise among males and both sexes combined. In 2-sample MR analyses using 234 polymorphisms and inverse variance weighted (IVW) regression, each year later age at menarche was associated with −0.81 kg/m2 of adult BMI (or −0.17 SD units, 95% CI −0.21, −0.12; P = 4.00 × 10−15). Associations were weaker with cardiometabolic traits. Using 202 polymorphisms, later menarche was associated with lower odds of childhood obesity (IVW-based odds ratio = 0.52 per year later, 95% CI 0.48, 0.57; P = 6.64 × 10−15). Study limitations include modest sample sizes for 1-sample MR, lack of inference to non-white-European populations, potential selection bias through modest completion rates of puberty questionnaires, and likely disproportionate measurement error of exposures by sex. The cardiometabolic traits examined were heavily lipid-focused and did not include hormone-related traits such as insulin and insulin-like growth factors. Conclusions Our results suggest that puberty timing has a small influence on adiposity and cardiometabolic traits and that preventive interventions should instead focus on reducing childhood adiposity.