Literature DB >> 23470574

Decision aids for patients facing a surgical treatment decision: a systematic review and meta-analysis.

Anouk M Knops1, Dink A Legemate, Astrid Goossens, Patrick M M Bossuyt, Dirk T Ubbink.   

Abstract

OBJECTIVE: To summarize the evidence available on the effects of decision aids in surgery.
BACKGROUND: When consenting to treatment, few patients adequately understand their treatment options. To help patients make deliberate treatment choices, decision aids provide evidence-based information on the disease, treatment options, and their associated benefits and harms. Although decision aids are not designed to direct patients toward a particular treatment option, it is possible that their introduction will change the proportion of patients that opt for surgery.
METHODS: We searched electronic databases for studies that evaluated a decision aid in patients offered both surgery and alternative treatment options, regarding the effect on the actual treatment choices made. In addition, we documented effects on knowledge, decisional conflict, anxiety, quality of life, patient involvement, satisfaction, mortality, morbidity, and costs.
RESULTS: Seventeen studies were included. Overall, methodological study quality was good. Patients in the decision aid group less often chose to undergo invasive treatment [risk ratio = 0.80; 95% confidence interval, 0.67-0.95), had more knowledge about treatment options [mean difference = 8.99; 95% confidence interval, 3.20-14.78), and experienced less decisional conflict (mean difference = -5.04; 95% confidence interval, -7.10 to -2.99). Levels of anxiety and quality of life were similar.
CONCLUSIONS: Offering a decision aid increases the number of patients who prefer conservative or less invasive treatment options. As decision aids improve patient knowledge and lower decisional conflict without raising anxiety levels, they have a place in surgery to help surgeons and patients achieve well-considered and shared treatment decisions.

Entities:  

Mesh:

Year:  2013        PMID: 23470574     DOI: 10.1097/SLA.0b013e3182864fd6

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  54 in total

1.  Editorial: The Sacredness of Surgery.

Authors:  David Ring; Seth S Leopold
Journal:  Clin Orthop Relat Res       Date:  2019-06       Impact factor: 4.176

Review 2.  Web-based decision aids for cancer clinical decisions: a systematic review and meta-analysis.

Authors:  Guixian Tong; Qingqing Geng; Debin Wang; Tongzhu Liu
Journal:  Support Care Cancer       Date:  2021-04-08       Impact factor: 3.603

3.  Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons.

Authors:  Karl Y Bilimoria; Yaoming Liu; Jennifer L Paruch; Lynn Zhou; Thomas E Kmiecik; Clifford Y Ko; Mark E Cohen
Journal:  J Am Coll Surg       Date:  2013-09-18       Impact factor: 6.113

4.  Reply to Li et al. "Can Preoperative Frailty Accurately Predict Morbidity and Mortality Following Liver Surgery?"

Authors:  Faiz Gani; Timothy M Pawlik
Journal:  J Gastrointest Surg       Date:  2017-08-24       Impact factor: 3.452

5.  The independent effect of cancer on outcomes: a potential limitation of surgical risk prediction.

Authors:  Ira L Leeds; Joseph K Canner; Jonathan E Efron; Nita Ahuja; Elliott R Haut; Elizabeth C Wick; Fabian M Johnston
Journal:  J Surg Res       Date:  2017-09-18       Impact factor: 2.192

6.  The impact of perceived frailty on surgeons' estimates of surgical risk.

Authors:  Mark K Ferguson; Jeanne Farnan; Josh A Hemmerich; Kris Slawinski; Julissa Acevedo; Stephen Small
Journal:  Ann Thorac Surg       Date:  2014-06-02       Impact factor: 4.330

7.  Patient education for carpal tunnel syndrome: analysis of readability.

Authors:  Kyle R Eberlin; Christina R Vargas; Danielle J Chuang; Bernard T Lee
Journal:  Hand (N Y)       Date:  2015-09

8.  Training surgical residents to use a framework to promote shared decision-making for patients with poor prognosis experiencing surgical emergencies.

Authors:  Tyler Chesney; Karen Devon
Journal:  Can J Surg       Date:  2018-04       Impact factor: 2.089

9.  Coupling of prostate and thyroid cancer diagnoses in the United States.

Authors:  Jeffrey J Tomaszewski; Robert G Uzzo; Brian Egleston; Anthony T Corcoran; Reza Mehrazin; Daniel M Geynisman; John A Ridge; Colleen Veloski; Neil Kocher; Marc C Smaldone; Alexander Kutikov
Journal:  Ann Surg Oncol       Date:  2014-09-10       Impact factor: 5.344

Review 10.  Artificial Intelligence and Surgical Decision-making.

Authors:  Tyler J Loftus; Patrick J Tighe; Amanda C Filiberto; Philip A Efron; Scott C Brakenridge; Alicia M Mohr; Parisa Rashidi; Gilbert R Upchurch; Azra Bihorac
Journal:  JAMA Surg       Date:  2020-02-01       Impact factor: 14.766

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