Key elements and checklist of shared decision-making conversation on life-sustaining treatment in emergency: a multispecialty study from China
World Journal of Emergency Medicine, ISSN: 1920-8642, Vol: 14, Issue: 5, Page: 136-141
2023
- 2Citations
- 2Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations2
- Citation Indexes2
- Captures2
- Readers2
Article Description
BACKGROUND: Shared decision-making (SDM) has broad application in emergencies. Most published studies have focused on SDM for a certain disease or expert opinions on future research gaps without revealing the full picture or detailed guidance for clinical practice. This study is to investigate the optimal application of SDM to guide life-sustaining treatment (LST) in emergencies. METHODS: This study was a prospective two-round Delphi consensus-seeking survey among multiple stakeholders at the China Consortium of Elite Teaching Hospitals for Residency Education. Participants were identified based on their expertise in medicine, law, administration, medical education, or patient advocacy. All individual items and questions in the questionnaire were scored using a 5-point Likert scale, with responses ranging from “very unimportant” (a score of 1) to “extremely important” (a score of 5). The percentages of the responses that had scores of 4-5 on the 5-point Likert scale were calculated. A Kendall's W coefficient was calculated to evaluate the consensus of experts. RESULTS: A two-level framework consisting of 4 domains and 22 items as well as a ready-to-use checklist for the informed consent process for LST was established. An acceptable Kendall's W coefficient was achieved. CONCLUSION: A consensus-based framework supporting SDM during LST in an emergency department can inform the implementation of guidelines for clinical interventions, research studies, medical education, and policy initiatives.
Bibliographic Details
World Journal of Emergency Medicine
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know