Visual Preoperative Risk Depiction Tools for Shared Decision-making: A Pilot Study from the Surgeon’s Perspective

Author:

Bhat Saiuj12,Wang Alice T.3,Wood Fiona245,Orgill Dennis P.36

Affiliation:

1. Department of Plastic Surgery, Royal Perth Hospital, Victoria Square, Perth, Western Australia

2. School of Medicine, The University of Western of Australia, Crawley, Western Australia

3. Harvard Medical School, Boston, Mass.

4. Burns Injury Research Unit, The University of Western Australia, Crawley, Western Australia

5. Burns Service of Western Australia, Fiona Stanley Hospital, Murdoch, Western Australia

6. Division of Plastic Surgery, Brigham and Women’s Hospital, Boston, Mass.

Abstract

Background: Shared decision-making (SDM) and effective risk communication improve patient satisfaction, adherence to treatment, and understanding of perioperative care pathways. Available risk calculators are less relevant for low-risk operations. The aim of this pilot study was to develop graphical risk visualization tools to enhance surgical SDM discussions preoperatively. Methods: Complications for reduction mammoplasty and skin grafting in a burns setting were sourced from the American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator, the American Society of Plastic Surgeons website, peer-reviewed literature, and available clinical data. Pre- and postoperative patient satisfaction data were collected from the published literature on Breast-Q patient-reported outcomes for reduction mammoplasty. Everyday risk comparisons were collected from a general online database search. Three distinct risk depiction tools (spiral, tile, and scatter plot) were developed in the Microsoft Office Suite. Anonymous REDCap surveys were sent to healthcare practitioners for feedback. Results: Twenty-six survey results were collected. Twenty-four respondents (92%) agreed these graphics would be useful for SDM discussions. Nineteen respondents (73%) either agreed or strongly agreed that these graphics depicted risk in a meaningful way. Fifteen respondents (58%) indicated they would use these graphics in daily practice. The majority of respondents preferred the spiral design (58%). Areas for improvement included design simplification and written explanations to accompany graphics. Feedback from the survey was incorporated into the spiral design. Conclusions: Risk visualization tools meaningfully depict surgical risks to improve communication in SDM. This study proposes a tool that can be adapted for many surgical procedures.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Surgery,General Medicine

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