When will I get my paper back? A replication study of publication timelines for health professions education research.

INTRODUCTION: Biomedical researchers have lamented the lengthy timelines from manuscript submission to publication and highlighted potential detrimental effects on scientific progress and scientists\u27 careers. In 2015, Himmelstein identified the mean time from manuscript submission to acceptance in biomedicine as approximately 100 days. The length of publication timelines in health professions education (HPE) is currently unknown. METHODS: This study replicates Himmelstein\u27s work with a sample of 14 HPE journals published between 2008-2018. Using PubMed, 19,182 article citations were retrieved. Open metadata for each were downloaded, including the date the article was received by the journal, date the authors resubmitted revisions, date the journal accepted the article, and date of entry into PubMed. Journals without publication history metadata were excluded. RESULTS: Publication history data were available for 55% (n = 8) of the journals sampled. The publication histories of 4,735 (25%) articles were analyzed. Mean time from: (1) author submission to journal acceptance was 180.93 days (SD = 103.89), (2) author submission to posting on PubMed was 263.55 days (SD = 157.61), and (3) journal acceptance to posting on PubMed was 83.15 days (SD = 135.72). DISCUSSION: This study presents publication metadata for journals that openly provide it-a first step towards understanding publication timelines in HPE. Findings confirm the replicability of the original study, and the limited data suggest that, in comparison to biomedical scientists broadly, medical educators may experience longer wait times for article acceptance and publication. Reasons for these delays are currently unknown and deserve further study; such work would be facilitated by increased public access to journal metadata

Clinical reasoning: What do nurses, physicians, and students reason about.

Clinical reasoning is a core ability in the health professions, but the term is conceptualised in multiple ways within and across professions. For interprofessional teamwork it is indispensable to recognise the differences in understanding between professions. Therefore, our aim was to investigate how nurses, physicians, and medical and nursing students define clinical reasoning. We conducted 43 semi-structured interviews with an interprofessional group from six countries and qualitatively analysed their definitions of clinical reasoning based on a coding guide. Our results showed similarities across professions, such as the emphasis on clinical skills as part of clinical reasoning. But we also revealed differences, such as a more patient-centered view and a broader understanding of the clinical reasoning concept in nurses and nursing students. The explicit sharing and discussion of differences in the understanding of clinical reasoning across health professions can provide valuable insights into the perspectives of different team members on clinical practice and education. This understanding may lead to improved interprofessional collaboration, and our study's categories and themes can serve as a basis for such discussions

The local socio-economic impacts of major power station projects

The Impacts Assessment Unit (IAU) at Oxford Brookes University has pioneered research on the local socio-economic impacts of major power station projects. Resultant insights have included: • Increasing focus on socio-economic impacts in the assessments of such projects; • Use of associated planning techniques and mitigation measures; and • Use of the research by wide range of stakeholders, including developers, local communities, local authorities and various agencies (e.g. health, education etc). Within the REF period these insights have been deployed in new power station impact research, recently (2011-2013) forming part of the successful EDF (international electricity utility company www.edf.com) application to the Infrastructure Planning Commission (IPC) (now National Infrastructure Directorate within the UK Planning Inspectorate (PINS)) to build a new nuclear power station Hinkley Point C (Somerset), plus consultation studies for a new nuclear power station Sizewell C (Suffolk)

Reactions at polymer interfaces: A Monte Carlo Simulation

Reactions at a strongly segregated interface of a symmetric binary polymer blend are investigated via Monte Carlo simulations. End functionalized homopolymers of different species interact at the interface instantaneously and irreversibly to form diblock copolymers. The simulations, in the framework of the bond fluctuation model, determine the time dependence of the copolymer production in the initial and intermediate time regime for small reactant concentration $\rho_0 R_g^3=0.163 ... 0.0406$. The results are compared to recent theories and simulation data of a simple reaction diffusion model. For the reactant concentration accessible in the simulation, no linear growth of the copolymer density is found in the initial regime, and a $\sqrt{t}$-law is observed in the intermediate stage.Comment: to appear in Macromolecule

Anomalous diffusion in polymers: long-time behaviour

We study the Dirichlet boundary value problem for viscoelastic diffusion in polymers. We show that its weak solutions generate a dissipative semiflow. We construct the minimal trajectory attractor and the global attractor for this problem.Comment: 13 page