Julia Keizer

• PhD Student at University of Twente

Background: Cross-border healthcare may promote the spread of multidrug-resistant microorganisms (MDRO) and is challenging due to heterogeneous antimicrobial resistance (AMR) prevention measures (APM). The aim of this article is to compare healthcare workers (HCW) from Germany (DE) and The Netherlands (NL) on how they perceive and experience AMR a...

Data-driven technologies can persuade humans to optimize their behavior and context based on objective data. However, current data-driven technologies have limited persuasive powers, because of a misfit between technology, end-users and context. Neglecting end-users in the development process contributes to this misfit and to limited engagement wit...

Background: The potentials of audit and feedback (AF) to improve healthcare are currently not exploited. To unlock the potentials of AF, this study focused on the process of making sense of audit data and translating data into actionable feedback by studying a specific AF-case: limiting antimicrobial resistance (AMR). This was done via audit and f...

Objectives: Data and data visualization are integral parts of (clinical) decision-making in general and stewardship (antimicrobial stewardship, infection control, and institutional surveillance) in particular. However, systematic research on the use of data visualization in stewardship is lacking. This study aimed at filling this gap by creating a...

Maarten J IJzerman,1,3 Andrea Manca,2,3 Julia Keizer,1 Scott D Ramsey4 1Department of Health Technology and Services Research, University of Twente, Enschede, the Netherlands; 2Centre for Health Economics, University of York, York, UK; 3Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg, 4Fred Hutchinson Cancer Re...

Background: For eHealth technologies in general and audit and feedback (AF) systems specifically, integrating interdisciplinary theoretical underpinnings is essential, as it increases the likelihood of achieving desired outcomes by ensuring a fit among eHealth technology, stakeholders, and their context. In addition, reporting on the development an...

Background: Thorough holistic development of eHealth can contribute to a good fit among the technology, its users, and the context. However, despite the availability of frameworks, not much is known about specific research activities for different aims, phases, and settings. This results in researchers having to reinvent the wheel. Consequently, th...

Objective Antimicrobial resistance (AMR) is a global threat to health and healthcare. In response to the growing AMR burden, research funding also increased. However, a comprehensive overview of the research output, including conceptual, temporal, and geographical trends, is missing. Therefore, this study uses topic modelling, a machine learning ap...

Objectives: Data and data visualization are integral parts of (clinical) decision-making in general and stewardship (antimicrobial stewardship, infection control, and institutional surveillance) in particular. However, systematic research on the use of data visualization in stewardship is lacking. This study aimed at filling this gap by creating a...

BACKGROUND For eHealth technologies in general, and audit and feedback (AF) systems specifically, integrating interdisciplinary theoretical underpinnings is essential as it increases the likelihood of achieving desired outcomes by ensuring a fit between the eHealth technology, stakeholders, and their context. Additionally, reporting on the developm...

Background: For eHealth technologies in general and audit and feedback (AF) systems specifically, integrating interdisciplinary theoretical underpinnings is essential, as it increases the likelihood of achieving desired outcomes by ensuring a fit among eHealth technology, stakeholders, and their context. In addition, reporting on the development a...

BACKGROUND Thorough participatory development of eHealth is necessary to ensure a good fit between the technology, its users and the context. However, despite the importance of development and the availability of frameworks, not much is known about specific methods for different aims, phases and settings, resulting in researchers having to reinvent...

Background Antimicrobial resistance (AMR) is a global threat to health and healthcare. In response to the growing AMR burden, research funding also increased. However, a comprehensive overview of the research output, including conceptual, temporal, and geographical trends, is missing. Therefore, this study uses topic modelling, a machine learning a...

The original article [1] contained a minor editorial typo in the following sentence which has now been corrected: