Automated Author Profile

Siebenhaar, Katharina U.

Current S-Index

1.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.1

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

50.0%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data from the paper: Shared Decision Making during the COVID-19 Pandemic (Version: 1)

Objective: The COVID-19 pandemic pushed some of the most well-developed healthcaresystems to their limits. In many cases, this has challenged patient-centered care. We set out toexamine individuals’ attitudes towards shared decision making (SDM) and to identifypredictors of participation preference during the pandemic.Methods: We conducted an online survey with a large convenience sample (N = 1061). Ourmain measures of interest were participants’ generic and COVID-19 related participationpreferences, and their acceptance and distress regarding a triage vignette. We also assessedanxiety, e-health literacy, and aspects of participants’ health. We conducted groupcomparisons and multiple linear regression analyses on participation preference and triageacceptance.Results: In generic decision making, most participants expressed a strong need forinformation and a moderate participation preference. In the hypothetical case of COVID-19infection, the majority preferred physician-led decisions. Generic participation preference wasthe strongest predictor for COVID-19 related participation preference, followed by age,education and anxiety. Furthermore, higher generic and COVID-19 related participationpreferences both predicted lower triage acceptance.Conclusion: Our findings demonstrate potential healthcare recipients’ attitudes towards SDMduring a severe healthcare crisis and emphasize that participation preference varies accordingto the context.

Authors

  • Köther, Anja K. ;
  • Siebenhaar, Katharina U. ;
  • Alpers, Georg W.
0 Citations0 Mentions50% FAIR1.1 Dataset Index
10.7801/367January 2021