Jasmin Meichlinger - Nursing Science

Author Information

Jasmin Meichlinger is affiliated with the Institute for Applied Nursing Sciences at the University of Applied Sciences of Eastern Switzerland in Gallen, Switzerland, as well as the Department of Nursing Science at the University of Vienna in Vienna, Austria. Her research focuses on various aspects of nursing and healthcare, including physical activity promotion, probabilistic thinking in chronic illness, risk of bias assessment, literature searching skills, and crisis prevention in palliative care.

Research Contributions

Jasmin Meichlinger has contributed significantly to the field of nursing through her research. Her work includes a mixed methods evaluation of a nursing counselling intervention aimed at promoting physical activity in women undergoing breast cancer therapy, an analysis of probabilistic thinking in the context of chronic illness, and an evaluation study comparing risk of bias assessments between RobotReviewer and human reviewers. Additionally, she has reviewed educational interventions to improve literature searching skills in health sciences and developed an early warning system for crisis prevention in palliative care settings.

Aliases

Jasmin Meichlinger is also known by the aliases J. Meichlinger and Jasmin Meichlinger.

Publication and Citation Metrics

Paper Title	Year	DOI
[Promoting physical activity in women during breast cancer therapy: A mixed methods evaluation of a nursing counselling intervention]	2022	10.1024/1012-5302/a000872
Probabilistic Thinking: A Principle-Based Concept Analysis in the Context of Uncertainty in Chronic Illness	2021	10.1891/RTNP-D-20-00183
Agreement in Risk of Bias Assessment Between RobotReviewer and Human Reviewers: An Evaluation Study on Randomised Controlled Trials in Nursing-Related Cochrane Reviews	2021	10.1111/jnu.12628
Educational interventions to improve literature searching skills in the health sciences: a scoping review	2020	10.5195/jmla.2020.954
Crisis prevention in the family care setting of palliative patients : developing an early warning system	2019