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Ian Purves

Publications and source records attributed to Ian Purves.

5 recordsLinked to original sources
PubMed2006

Verbal prescribing in general practice consultations.

This paper looks at aspects of doctor-patient communication and focuses on how prescribing decisions fit into the consultation within the context of the use (and non-use) of a technological clinical decision support system (CDSS) in the UK. Analysis of 6 simulated consultations filmed as part of the evaluation of a CDSS system indicated that the general practitioners (GPs) used their computers for a short time during consultations. The data showed that doctors' utterances, occurring at an early stage of the consultations, signalled the prescribing decision and eventual outcome of the consultation. The concept of 'verbal prescriptions' is used to describe these utterances of the GPs, and facilitates an understanding of how prescribing decisions are routinely achieved. Prescribing decisions can occur in the relatively early stages of the consultation, and both prior to and independently of the CDSS. Consequently, we suggest that the pattern of GP decision-making needs to be taken into account in CDSS design. However, this is not just an issue for CDSS design and implementation, as the verbal prescription phenomenon may impact upon patient involvement in decision-making, and even the appropriate use of evidence based medicine.

Communication↗
PubMed2003

Learning support for the consultation: information support and decision support should be placed in an educational framework.

BACKGROUND: Advances in information technology mean that it is now possible to provide contextually relevant, evidence-based information during the course of the consultation. As a consequence, the practitioner has to consider the new information (from the computer) in the situation of the present consultation and in the light of his or her own experience. This task has to be carried out in a short time, in the presence of the patient. METHOD: Drawing on experience of the development of one decision support system, this paper places that task for the practitioner in an educational framework. We begin by reviewing theories of professional experience and knowledge and go on to look at schema theory and the role of cognitive dissonance and reflection in learning. CONCLUSION: This paper considers the provision of real time decision support in the light of learning and the experienced practitioner. We conclude that framing the implementation of decision support in this way provides useful insights. The key process is learning by the practitioner, in the course of the consultation. This process should be supported by decision support and information support software. There are implications here for the design of such software, and also for the way in which practitioners are trained to use it.

Cognitive Dissonance↗
PubMed2002

Effect of computerised evidence based guidelines on management of asthma and angina in adults in primary care: cluster randomised controlled trial.

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. 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.

Angina Pectoris↗