Patient Decision Aids for Aortic Stenosis and Chronic Coronary Artery Disease: A Systematic Review and Meta-Analysis

Emma Harris, Alex Benham, John Stephenson, Dwayne Conway, Aun-Yeong Chong, Helen Curtis, Felicity Astin

Research output: Contribution to journalReview articlepeer-review


Aim: Shared decision-making is recommended for patients considering treatment options for severe aortic stenosis (AS) and chronic coronary artery disease (CAD). This review aims to systematically identify and assess patient decision aids (PtDAs) for chronic CAD and AS and evaluate the international evidence on their effectiveness for improving the quality of decision-making.

Methods and Results: Five databases (Cochrane, CINAHL, Embase, MEDLINE, PsycInfo), clinical trial registers and 30 PtDA repositories/websites were searched from 2006 to March 2023. Screening, data extraction and quality assessments were completed independently by multiple reviewers. Meta-analyses were conducted using Stata statistical software. Eleven AS and 10 CAD PtDAs were identified; seven were less than five years old. Over half the PtDAs were web-based and the remainder paper-based. One AS and two CAD PtDAs fully/partially achieved international PtDA quality criteria. Ten studies were included in the review; four reported on the development/evaluation of AS PtDAs and six on CAD PtDAs. Most studies were conducted in the USA with White, well-educated, English-speaking participants. No studies fulfilled all quality criteria for reporting PtDA development and evaluation. Meta-analyses found that PtDAs significantly increased patient knowledge compared to ‘usual care’ (mean difference:0.620; 95%CI 0.396, 0.845, p
Conclusion: Patients who use PtDAs when considering treatments for AS or chronic CAD are likely to be better informed than those who do not. Existing PtDAs may not meet the needs of people with low health literacy levels as they are rarely involved in their development.
Original languageEnglish
Number of pages21
JournalEuropean Journal of Cardiovascular Nursing
Early online date13 Jan 2024
Publication statusE-pub ahead of print - 13 Jan 2024

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