Skip to main content

Digital Education in Health Professions: The Need for Overarching Evidence Synthesis

Synthesizing evidence from randomized controlled trials of digital health education is challenging. Problems include a lack of clear categorization of digital health education in the literature; constantly evolving concepts, pedagogies, or theories; and a multitude of methods, features, technologies, or delivery settings.

The Digital Health Education Collaboration was established to evaluate the evidence on digital education in health professions; inform policymakers, educators, and students; and change the way in which these professionals learn and are taught. In a paper published in the Journal of Medical Internet Research, we presented the overarching methods we use to synthesize evidence across our digital health education reviews and to discuss challenges related to the process.

For our research, we followed Cochrane recommendations for the conduct of systematic reviews; all reviews are reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidance. This included assembling experts in various digital health education fields; identifying gaps in the evidence base; formulating focused research questions, aims, and outcome measures; choosing appropriate search terms and databases; defining inclusion and exclusion criteria; running the searches jointly with librarians and information specialists; managing abstracts; retrieving full-text versions of papers; extracting and storing large datasets, critically appraising the quality of studies; analyzing data; discussing findings; drawing meaningful conclusions; and drafting research papers.

The approach used for synthesizing evidence from digital health education trials is the most rigorous benchmark for conducting systematic reviews. Although we acknowledge the presence of certain biases ingrained in the process, we have clearly highlighted and minimized those biases by strictly adhering to scientific rigor, methodological integrity, and standard operating procedures. our paper will be a valuable asset for researchers and methodologists undertaking systematic reviews in digital health education.

Comments

Popular posts from this blog

What is the difference between primordial prevention and primary prevention?

Primordial prevention and primary prevention are both crucial strategies for promoting health, but they operate at different levels. Primordial prevention aims to address the root causes of health problems and improve the wider determinants of health. It focuses on preventing the emergence of risk factors in the first place by tackling the underlying social, economic, and environmental determinants of health. This involves broad, population-wide interventions such as: Policies that promote healthy food choices: Think about initiatives like taxing sugary drinks to discourage unhealthy consumption, or providing subsidies for fruits and vegetables to make them more accessible. Urban planning that prioritises well-being: This could include creating walkable neighborhoods with safe cycling routes, ensuring access to green spaces for recreation and relaxation, and designing communities that foster social connections. Social programs that address inequality: Initiatives aimed at reducing pov...

MPH Student Presentations on the NHS Care.Data Programme

As part of a session on primary care data in the Health Informatics module on the Imperial Master of Public Health Programme, I asked students to work in two groups to present arguments for and against the NHS Care.Data programme. Care.Data is an NHS programme that will extract data from the medical records held by general practitioners (GPs) in England. The Care.Data programme takes advantage of the very high level of use of electronic medical records by GPs in England. After extraction, data will be uploaded to the NHS Health and Social Care Information Centre (HSCIC). The data will then be used for functions such as health care planning, monitoring disease patterns and research. The programme has been controversial with proponents arguing that the programme will bring many benefits for the NHS and the population of England; and opponents arguing it is a major breach of privacy. You can view the two presentations to help inform you further about these arguments: Arguments fo...

What makes a good doctor – and who gets to decide?

What Makes a Good Doctor? This is the question that Waseem Jerjes and I explore in the Journal of the Royal Society of Medicine . It is a key question that underpins the architecture of medical education, clinical practice, regulation, and professional identity. It cannot be answered by regulators, educators, or employers in isolation. It must be answered together – by doctors and patients – revisited throughout a career, and adapted as society and the profession change. Without that shared reflection, the danger is not simply disillusionment, but the erosion of the moral foundations of clinical work. As we enter an era when diagnosis will increasingly involve artificial intelligence and when performance metrics reward volume over value, reclaiming this question as a professional one is imperative. The integrity of our institutions – and of the practitioners within them – depends on reimagining excellence in inclusive, relational terms. A good doctor is not a flawless technician or a f...