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Anticipated regret in shared decision-making: a randomized experimental study

Overview of attention for article published in Perioperative Medicine, March 2016
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Title
Anticipated regret in shared decision-making: a randomized experimental study
Published in
Perioperative Medicine, March 2016
DOI 10.1186/s13741-016-0031-6
Pubmed ID
Authors

Rebecca M. Speck, Mark D. Neuman, Kimberly S. Resnick, Barbara A. Mellers, Lee A. Fleisher

Abstract

Explicit consideration of anticipated regret is not part of the standard shared decision-making protocols. This pilot study aimed to compare decisions about a hypothetical surgery for breast cancer and examined whether regret is a consideration in treatment decisions. In this randomized experimental study, 184 healthy female volunteers were randomized to receive a standard decision aid (control) or one with information on post-surgical regret (experimental). The main outcome measures were the proportion of subjects choosing lumpectomy vs. mastectomy and the proportion reporting that regret played a role in the decision made. We hypothesized that a greater proportion of the experimental group (regret-incorporated decision aid) would make a surgical treatment preference that favored the less regret-inducing option and that they would be more likely to consider regret in their decision-making process as compared to the control group. A significantly greater proportion of the experimental group subjects reported regret played a role in their decision-making process compared to the control counterparts (78 vs. 65 %; p = 0.039). Recipients of the regret-incorporated experimental decision aid had a threefold increased odds of choosing the less regret-inducing surgery (OR = 2.97; 95 % CI = 1.25, 7.09; p value = 0.014). In this hypothetical context, the incorporation of regret in a decision aid for preference-sensitive surgery impacted decision-making. This finding suggests that keying in on anticipated regret may be an important element of shared decision-making strategies. Our results make a strong argument for applying this design and pursuing further research in a surgical patient population. Clinicaltrials.gov, NCT02563808.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Student > Master 8 20%
Researcher 4 10%
Professor 3 7%
Student > Postgraduate 3 7%
Other 9 22%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 14 34%
Nursing and Health Professions 4 10%
Psychology 3 7%
Computer Science 2 5%
Business, Management and Accounting 2 5%
Other 7 17%
Unknown 9 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 April 2016.
All research outputs
#17,790,561
of 22,852,911 outputs
Outputs from Perioperative Medicine
#179
of 243 outputs
Outputs of similar age
#203,100
of 298,622 outputs
Outputs of similar age from Perioperative Medicine
#3
of 4 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 243 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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