Anna Borgmann
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Anna Borgmann has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Keith J. Petrie
Department of Psychological Medicine University of Auckland Auckland New Zealand
1 shared publication - Leanne Te Karu
Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
1 shared publication - Maria Kleinstäuber
Utah State University
1 shared publication Meihana Douglas
Meihana Douglas, MHP, Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
1 shared publication- Nicola Dalbeth
Department of Medicine, Faculty of Medical and Health Sciences University of Auckland Auckland New Zealand
1 shared publication - Rachael Yielder
University of Auckland
1 shared publication
Latest Publications
- Open Access
- 15 October 2023
- Published by The Journal of Rheumatology in The Journal of Rheumatology
- Vol. 51 (2) , 203-205
The Big Picture: Patient Drawings of Gout and Their Relationship to Illness Perceptions and Stigma
Patients9 drawings of their illnesses have been used as a unique way of assessing illness perceptions in a wide range of diseases, including cardiac, respiratory, endocrine, and neurological conditions. 1,2 Patient drawings can reveal beliefs about the extent and effect of their illness that are hard to capture and interpret using standard questionnaires.
- 15 October 2023
- Published by The Journal of Rheumatology in The Journal of Rheumatology
- Vol. 51 (2) , 203-205
Open AccessThe Big Picture: Patient Drawings of Gout and Their Relationship to Illness Perceptions and Stigma
Patients9 drawings of their illnesses have been used as a unique way of assessing illness perceptions in a wide range of diseases, including cardiac, respiratory, endocrine, and neurological conditions. 1,2 Patient drawings can reveal beliefs about the extent and effect of their illness that are hard to capture and interpret using standard questionnaires.