How applied researchers engaged with the R tutorial and identified factors influencing its usability and perceived value may inform future tutorial design and the development and validation of more structured guidance, such as a checklist for tutorial development.
Abstract
Objectives
Methodological tutorials support the application of statistical methods in health technology assessment. Using an R tutorial for trial-based economic evaluation as a case study, we explored how applied researchers engaged with the tutorial and identified factors influencing its usability and perceived value.
Methods
We conducted a three-step test interview study with applied researchers without experience with the tutorial (n = 17) and semi-structured interviews with applied researchers who had previously used it in their own work (n = 3). Participants worked through the tutorial whilst thinking aloud, followed by focussed and reflective interviews. Qualitative data were analysed using reflexive thematic analysis.
Results
Three themes were generated: (1) 'getting in and getting it to run', describing technical barriers; (2) 'understanding and making sense of what tutorials teach', reflecting challenges in applying methods and interpreting outputs; and (3) 'adapting and applying tutorials in practice', highlighting difficulties modifying code for real-world datasets. Barriers stemmed not only from methodological complexity but also from software setup, unclear terminology, limited coding skills and lack of support. Despite these, participants described tutorials in general as efficient learning tools when clearly structured, transparent and adaptable.
Conclusions
We derived practical considerations that may help improve the accessibility, clarity and adaptability of future methodological tutorials. Methodological tutorials can support the learning and application of statistical methods, but their effective use depends on technical accessibility, user capability and access to support. These findings may inform future tutorial design and the development and validation of more structured guidance, such as a checklist for tutorial development.
Methodological research is often abstract, heavily theoretical and jargon laden. Despite having significant implications for the users of health and social care services, it can be difficult to involve the public and patients in research that is oriented towards more academic ‘ways of knowing’. This article combines Pu...
Andrew Fletcher, Violet Rook, S. Mountain et al.· Research Involvement and Eng...· 0 citations
Despite widespread adoption, application of the TFA remains variable and reporting does not always provide sufficient detail to support appraisal and comparison, which limits the ability to compare acceptability across studies, identify key drivers, or use findings to inform intervention development and implementation.
C. Ghiglieri, B. McCullough, Rebecca H. McLeese et al.· BMC Health Services Research· 0 citations
Implementation science aims to translate evidence into practice and optimize interventions in real-world settings. Traditional Chinese medicine (TCM), as a typical complex intervention integrating biological, psychological, cognitive and behavioral, social, and environmental components, is subject to numerous conte...
Xue-Han Wei, Xiao-Ying Chen, Yi-Ying Wang et al.· Evidence-Based Chinese Medic...· 0 citations
This manuscript examines the use of a Delphi panel as a method for qualitative research. Recognised as an approach that can offer greater transparency in analysis through built in member checking and a systematic process that allows ideas to evolve, Delphi panels have more commonly been used in the sectors of education...
K. M. Pascoe· Qualitative Social Work· 0 citations
A typology of approaches used by external agencies to evaluate the sustainment of evidence-based intervention/initiatives (EBIs) was recently proposed. As the typology was initially developed by a single research group, further refinement was warranted to ensure its validity. Drawing on expert insights and real-w...
Carly Gardner, Luke Wolfenden, Alison Zucca et al.· Implementation Science Commu...· 0 citations
Background: The specialist examination has a substantial impact on the quality of healthcare delivery. The aim of this study was to explore examiners’ perspectives on the current examination format, their motivation for serving as examiners, perceived strengths and weaknesses of the existing assessment, suggestions for...
Andreas C. Dreher, Christine Becker, Marco Roos et al.· GMS Journal for Medical Educ...· 0 citations
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
Microsoft Research Blog· microsoft.comOct 30, 2026
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.