PubMed Health⌕ Search

PubMed · 15117384

Evaluating decision aids--where next?

Abstract

Decision aids have been developed to help patients become involved in decision-making about their individual health care. During the evaluation of a particular decision aid in maternity care--a set of 10 'Informed Choice' leaflets--we considered the lessons learnt for evaluation of decision aids in the future. Decision aids have been tested mainly in explanatory trials and have been found to be effective. We argue that existing decision aids should be subjected to more pragmatic trials to test their effectiveness in the real world. The small amount of evidence on their use in the real world shows that they face challenges, resulting in poor implementation. Therefore, we propose that implementation strategies are developed which take heed of the findings of research on getting evidence into practice, and in particular address structural barriers such as the lack of time available to health professionals. We recommend that these 'decision aid implementation packages' are developed in conjunction with both health professionals and patients, and identify and address potential barriers to both the delivery of patient involvement in decision-making, and the use of decision aids, in the real world. These 'packages' can then be submitted to pragmatic evaluation.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Alicia O'Cathain, Kate J Thomas. 2004. Evaluating decision aids--where next?. https://doi.org/10.1111/j.1369-7625.2004.00258.x

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Decision analysis.

Explore the source record for details and available documents.

Decision Support Techniques↗

Intelligent ship traffic monitoring for oil spill prevention: risk based decision support building on AIS.

The paper describes a model, which estimates the risk levels of individual crude oil tankers. The intended use of the model, which is ready for trial implementation at The Norwegian Coastal Administrations new Vardø VTS (Vessel Traffic Service) centre, is to facilitate the comparison of ships and to support a risk based decision on which ships to focus attention on. For a VTS operator, tasked with monitoring hundreds of ships, this is a valuable decision support tool. The model answers the question, "Which ships are likely to produce an oil spill accident, and how much is it likely to spill?".

Decision Support Techniques↗