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Decision tools in health care: focus on the problem, not the solution

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TLDR
It is argued that DSSs and other computer-based, paper-based and even mechanical decision aids are members of a wider family of decision tools, which should encourage the sharing of lessons between DT developers and users and reduce the frequency of decision tool projects focusing only on technology.
Abstract
Systematic reviews or randomised-controlled trials usually help to establish the effectiveness of drugs and other health technologies, but are rarely sufficient by themselves to ensure actual clinical use of the technology. The process from innovation to routine clinical use is complex. Numerous computerised decision support systems (DSS) have been developed, but many fail to be taken up into actual use. Some developers construct technologically advanced systems with little relevance to the real world. Others did not determine whether a clinical need exists. With NHS investing £5 billion in computer systems, also occurring in other countries, there is an urgent need to shift from a technology-driven approach to one that identifies and employs the most cost-effective method to manage knowledge, regardless of the technology. The generic term, 'decision tool' (DT), is therefore suggested to demonstrate that these aids, which seem different technically, are conceptually the same from a clinical viewpoint. Many computerised DSSs failed for various reasons, for example, they were not based on best available knowledge; there was insufficient emphasis on their need for high quality clinical data; their development was technology-led; or evaluation methods were misapplied. We argue that DSSs and other computer-based, paper-based and even mechanical decision aids are members of a wider family of decision tools. A DT is an active knowledge resource that uses patient data to generate case specific advice, which supports decision making about individual patients by health professionals, the patients themselves or others concerned about them. The identification of DTs as a consistent and important category of health technology should encourage the sharing of lessons between DT developers and users and reduce the frequency of decision tool projects focusing only on technology. The focus of evaluation should become more clinical, with the impact of computer-based DTs being evaluated against other computer, paper- or mechanical tools, to identify the most cost effective tool for each clinical problem. We suggested the generic term 'decision tool' to demonstrate that decision-making aids, such as computerised DSSs, paper algorithms, and reminders are conceptually the same, so the methods to evaluate them should be the same.

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Social influence on the use of Clinical Decision Support Systems: Revisiting the Unified Theory of Acceptance and Use of Technology by the fuzzy DEMATEL technique

TL;DR: It is significant that, in contrary with UTAUT, this study found that social influence does not matter in the behavioral intention to use the CDSS for medical professionals.
References
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Book

Users' Guides to the Medical Literature

TL;DR: Without a way of critically appraising the information they receive, clinicians are relatively helpless in deciding what new information to learn and decide how to modify their practice.
Journal ArticleDOI

Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

TL;DR: Improvement in practitioner performance was associated with CDSSs that automatically prompted users compared with requiring users to activate the system and studies in which the authors were not the developers, as well as other factors.
Journal ArticleDOI

Changing Physician Performance: A Systematic Review of the Effect of Continuing Medical Education Strategies

TL;DR: Widely used CME delivery methods such as conferences have little direct impact on improving professional practice, and more effective methodssuch as systematic practice-based interventions and outreach visits are seldom used by CME providers.
Journal ArticleDOI

Learning from Bristol: report of the public inquiry into children's heart surgery at Bristol Royal Infirmary 1984-1995.

TL;DR: Learning from Bristol: report of the public inquiry into children's heart surgery at Bristol Royal Infirmary 1984-1995 as mentioned in this paper, is a good starting point for this paper, but it is not a complete summary of the report.
Journal ArticleDOI

Decision aids for patients facing health treatment or screening decisions: systematic review

TL;DR: In this paper, a systematic review of randomised trials of patient decision aids in improving decision making and outcomes was conducted, which included randomized trials of interventions providing structured, detailed, and specific information on treatment or screening options and outcomes to aid decision making.
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