Search

Genome wide association studies in cancer are used to understand the heritable genetic contribution to disease risk. Here, the authors perform a genome wide association study in European patients with acute myeloid leukemia and identify loci associated with risk of developing the disease.

Purpose: Previous studies have demonstrated that a motivational programme can have positive effects in inspiring secondary school students in pursuing a career in health. However, majority of studies were conducted in the United States and were delivered in the multiple sessions and attendances format. MED-E-SIM is a one-day educational pilot programme designed for Australian secondary school students interested in pursuing a career in healthcare. Method: MED-E-SIM's aim is to increase participants' interest and certainty in pursuing the healthcare professions through participation in mannequin-based simulated clinical exercises, procedural workshops using part-task simulation trainers, and active engagement in an ‘ask the expert’ style masterclass hosted by healthcare clinicians. In order to evaluate the impact of MED-E-SIM, 66 senior secondary school students who participated in the programme were invited to complete the post programme evaluation survey. Results: We observed increases in both students' self-perceived understanding of health profession and knowledge about Basic Life Support after the participation in MED-E-SIM programme. Furthermore, our study also showed that MED-E-SIM programme participation could help improve participants’ decision in pursuing future career in health (P

Significant data linkage work is taking place across government, as highlighted in a recent review by the Office for Statistics Regulation (“Joining up Data for Better Statistics”). This review provided insights on the scale of the data linkage work in government and its potential future opportunities. Based on this we are conducting a National Statistician’s Quality Review (NSQR) on data linkage. These reviews investigate topics of current statistical interest and innovation with contributions from subject matter experts. The aims of this NSQR are to report on state-of-the-art data linkage methods and join up government work on data linkage to break down silos and share best practice. We have scoped key topics of interest and linkage challenges by searching the literature and engaging with stakeholders across government and wider. Areas of interest include quality assurance of linkage, linking more than two data sources, linking encrypted data and challenges with data sharing and access for linking. Following this we approached recognised data linking experts e.g. academics, the private sector, the Office for National Statistics (ONS), wider Government Statistical Service (GSS) and other National Statistical Institutes (NSIs) to identify state-of-the-art linkage methods. This NSQR will outline the challenges faced across the GSS and set out the steps that should to be taken across the statistical system, building on the state-of-the-art data linkage methods set out by the experts. We will present our progress and provisional findings on the leading methods being discussed in the review, as well as potential next steps for facilitating a more joined up way of working across the GSS to improve data linkage.