Improving specialist drug prescribing in primary care using task and error analysis: an observational study
File(s)Chana et al.2017.pdf (144.17 KB)
Published version
Author(s)
Chana, Narinder
Porat, Talya
Whittlesea, Cate
Delaney, Brendan
Type
Journal Article
Abstract
Background Electronic prescribing has benefited from computerised clinical decision support systems (CDSSs); however, no published studies have evaluated the potential for a CDSS to support GPs in prescribing specialist drugs.
Aim To identify potential weaknesses and errors in the existing process of prescribing specialist drugs that could be addressed in the development of a CDSS.
Design and setting Semi-structured interviews with key informants followed by an observational study involving GPs in the UK.
Method Twelve key informants were interviewed to investigate the use of CDSSs in the UK. Nine GPs were observed while performing case scenarios depicting requests from hospitals or patients to prescribe a specialist drug. Activity diagrams, hierarchical task analysis, and systematic human error reduction and prediction approach analyses were performed.
Results The current process of prescribing specialist drugs by GPs is prone to error. Errors of omission due to lack of information were the most common errors, which could potentially result in a GP prescribing a specialist drug that should only be prescribed in hospitals, or prescribing a specialist drug without reference to a shared care protocol. Half of all possible errors in the prescribing process had a high probability of occurrence.
Conclusion A CDSS supporting GPs during the process of prescribing specialist drugs is needed. This could, first, support the decision making of whether or not to undertake prescribing, and, second, provide drug-specific parameters linked to shared care protocols, which could reduce the errors identified and increase patient safety.
Aim To identify potential weaknesses and errors in the existing process of prescribing specialist drugs that could be addressed in the development of a CDSS.
Design and setting Semi-structured interviews with key informants followed by an observational study involving GPs in the UK.
Method Twelve key informants were interviewed to investigate the use of CDSSs in the UK. Nine GPs were observed while performing case scenarios depicting requests from hospitals or patients to prescribe a specialist drug. Activity diagrams, hierarchical task analysis, and systematic human error reduction and prediction approach analyses were performed.
Results The current process of prescribing specialist drugs by GPs is prone to error. Errors of omission due to lack of information were the most common errors, which could potentially result in a GP prescribing a specialist drug that should only be prescribed in hospitals, or prescribing a specialist drug without reference to a shared care protocol. Half of all possible errors in the prescribing process had a high probability of occurrence.
Conclusion A CDSS supporting GPs during the process of prescribing specialist drugs is needed. This could, first, support the decision making of whether or not to undertake prescribing, and, second, provide drug-specific parameters linked to shared care protocols, which could reduce the errors identified and increase patient safety.
Date Issued
2017-03-01
Date Acceptance
2016-10-11
Citation
BRITISH JOURNAL OF GENERAL PRACTICE, 2017, 67 (656), pp.E157-E167
ISSN
0960-1643
Publisher
ROYAL COLL GENERAL PRACTITIONERS
Start Page
E157
End Page
E167
Journal / Book Title
BRITISH JOURNAL OF GENERAL PRACTICE
Volume
67
Issue
656
Copyright Statement
© 2017 British Journal of General Practice.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000397166700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Primary Health Care
Medicine, General & Internal
General & Internal Medicine
clinical decision support system
drug prescribing
general practice
primary health care
specialist drugs
COMPUTERIZED DECISION-SUPPORT
INFORMATION-TECHNOLOGY
PATIENT OUTCOMES
SHARED CARE
HEALTH-CARE
SYSTEMS
MEDICINES
SAFETY
IMPACT
GPS
Publication Status
Published
Date Publish Online
2017-02-23