Written from a health-care perspective, the focus of this chapter is to discuss the evolving role of digital storytelling, as a research method. The chapter explores how digital stories can be viewed as a qualitative response to the "big data" approaches to research which are critical in the information age. It will suggest ways in which…

This paper brings to light the notable contributions of Wikipedian Adrianne Wadewitz (1977-2014) who enlisted her peers and students to help reduce the gender imbalance by participating in mass collaborative initiatives like edit-a-thons to increase the stock of knowledge about and of interest to women. Such projects, and the edit-a-thons that…

Frequent language exposure and use are among the most important conditions for successful language learning, whether in classrooms, during study abroad, or in other informal contexts. Research probing exposure and usage often relies on one-off self-report questionnaires in which participants estimate their typical level of language exposure over…

Social impact, defined as an effect on society, culture, quality of life, community services, or public policy beyond academia, is widely considered as a relevant requirement for scientific research, especially in the field of health care. Traditionally, in health research, the process of knowledge transfer is rather linear and one-sided and has…

Convergence education of medicine and theology (CEMT) is an effective religious education learning model in a secular age. The highly elaborate rationality of the secular environment encourage es dialogical discourse between science and religion. There is a mutually reinforcing relationship between medicine and theology even given each…

Context: The Cuban medical education and health care systems provide powerful lessons to athletic training educators, clinicians, and researchers to guide educational reform initiatives and professional growth. Objective: The purpose of this paper is to provide a brief overview of the Cuban medical education system to create parallels for…

As the burden of noncommunicable diseases (NCDs) rises in settings with an equally high burden of infectious diseases in the Global South, a new sense of urgency has developed around research capacity building to promote more effective and sustainable public health and health care systems. In 2010, NCDs accounted for more than 2.06 million deaths…

Background: Stratified medicine seeks to identify patients most likely to respond to treatment. Individual participant data (IPD) network meta-analysis (NMA) models have greater power than individual trials to identify treatment-covariate interactions (TCIs). Treatment-covariate interactions contain "within" and "across" trial…

This article explains what clinical research is and why it is necessary. The term "clinical" refers to an academic way of solving practical problems. Clinical research starts from a view of science that not only acknowledges the value of rational analysis and empirical research, but also acknowledges the need for human skills and…

Meta-analyses in orphan diseases and small populations generally face particular problems, including small numbers of studies, small study sizes and heterogeneity of results. However, the heterogeneity is difficult to estimate if only very few studies are included. Motivated by a systematic review in immunosuppression following liver…

Experiential learning is an effective educational tool across many academic disciplines, including career development. Nine different institutions bridged by the National Institutes of Health Broadening Experiences in Scientific Training Consortium compared their experiments in rethinking and expanding training of predoctoral graduate students and…

Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…

Small-study effects are a common threat in systematic reviews and may indicate publication bias. Their existence is often verified by visual inspection of the funnel plot. Formal tests to assess the presence of funnel plot asymmetry typically estimate the association between the reported effect size and their standard error, the total sample size,…

Background: This article charts the relationships between the model of evidence-based practice (EBP), healthcare markets where providers are increasingly competing through the adoption of EBP-certified interventions, and the cultivation of experiential knowledge within self-help and mutual aid groups (MAGs). After 35 years of neoliberal reform,…

Medical education strives to foster effective education of medical students despite an ever-changing landscape in medicine. This article explores the utility of projects in problem-based learning--"project-PBL"--as a way to supplement traditional case-PBL. First, project-PBL may enhance student engagement and motivation by allowing them…