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Martin Eccles a Centre
for Health Services Research, University of Newcastle, Newcastle upon
Tyne NE2 4AA, b Health Services Research
Unit, University of Aberdeen, Aberdeen AB25 2ZD, c Department of Economics, City University, London
EC1V 0HB, d Sowerby Centre for Health Informatics, University of
Newcastle, Newcastle upon Tyne NE2 4AB
Correspondence to: M Eccles
martin.eccles{at}ncl.ac.uk
Objective:
To evaluate the use of a computerised
support system for decision making for implementing evidence based
clinical guidelines for the management of asthma and angina in adults
in primary care.
What is already known on this topic
Previous evaluations have been undermined by flaws in study
design Few studies have evaluated complex decision support systems for the
management of chronic disease What this study adds
It is unclear whether there are benefits from integrating such systems
into clinical encounters where busy practitioners manage patients with
complex and multiple conditions
Design:
A before and after pragmatic cluster
randomised controlled trial utilising a two by two incomplete block design.
Setting:
60 general practices in north east England.
Participants:
General practitioners and practice
nurses in the study practices and their patients aged 18 or over with angina or asthma.
Main outcome measures:
Adherence to the guidelines,
based on review of case notes and patient reported generic and
condition specific outcome measures.
Results:
The computerised decision support system had no significant effect on consultation rates, process of care measures (including prescribing), or any patient reported outcomes for either
condition. Levels of use of the software were low.
Conclusions:
No effect was found of computerised
evidence based guidelines on the management of asthma or angina in
adults in primary care. This was probably due to low levels of use of the software, despite the system being optimised as far as was technically possible. Even if the technical problems of producing a
system that fully supports the management of chronic disease were
solved, there remains the challenge of integrating the systems into
clinical encounters where busy practitioners manage patients with
complex, multiple conditions.
Computerised decision support systems produce improvements in patient
care across a range of conditions and settings
No impact was found of a computerised decision support system
delivering evidence based guidelines for chronic diseases on either the
process or outcomes of care
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