Dear Craig,
indeed this has been done, but somewhat differently than you are proposing:
1. clinical algorithms, which represent an ordered set of instruction/relations outlining the logic of a given clinical problem, are typically linked to systematic reviews. That is, each decision point in an algorithm is ideally annotated to a systematic review (i.e. evidence profiles that should be derived from the systematic review)
2. practice guidelines, which are also typically presented in the forms of the algorithms, have occasionally been translated into decision models.
I believe many textbooks have been published using the approach I just outlined. A while ago we summarized the field hematology, and then oncology using this approach.
hope this is helpful
ben
Benjamin Djulbegovic, MD,PhD
Professor of Medicine & Oncology
H. Lee Moffitt Cancer Center & Research Institute
University of South Florida
-----Original Message-----
From: Evidence based health (EBH) on behalf of Craig Lockwood
Sent: Mon 5/30/2005 9:05 PM
To: [log in to unmask]
Subject: Systematic reviews into algorithms or decision trees
Dear List members,
I am looking to scope the international perspective on taking systematic
reviews of clinical effectiveness, or evidence based guidelines and
developing algorithms, or decision trees from them. Is this currently being
done anywhere, or is there any discussion/debate that you are aware of? The
particular focus of my interest is in taking complex documents like
systematic reviews and developing simplified pathways to facilitate
implementation, or informed decision making. In doing so, I fully intend
that the algorithm/tree/flow chart link back to the primary source. There
may be some additional issues/concerns/questions the list may like to raise.
I would be interested to hear a range of viewpoints.
I am starting a review of international evidence-based organisations web
sites, and a Cochrane/Medline search today but am keen to hear from others
who may have been down this path before.
Regards
Craig (Australia)
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