Literature DB >> 24282310

Using 'nudge' principles for order set design: a before and after evaluation of an electronic prescribing template in critical care.

Christopher P Bourdeaux1, Keith J Davies, Matthew J C Thomas, Jeremy S Bewley, Timothy H Gould.   

Abstract

OBJECTIVE: Computerised order sets have the potential to reduce clinical variation and improve patient safety but the effect is variable. We sought to evaluate the impact of changes to the design of an order set on the delivery of chlorhexidine mouthwash and hydroxyethyl starch (HES) to patients in the intensive care unit.
METHODS: The study was conducted at University Hospitals Bristol NHS Foundation Trust, UK. Our intensive care unit uses a clinical information system (CIS). All drugs and fluids are prescribed with the CIS and drug and fluid charts are stored within a database. Chlorhexidine mouthwash was added as a default prescription to the prescribing template in January 2010. HES was removed from the prescribing template in April 2009. Both interventions were available to prescribe manually throughout the study period. We conducted a database review of all patients eligible for each intervention before and after changes to the configuration of choices within the prescribing system.
RESULTS: 2231 ventilated patients were identified as appropriate for treatment with chlorhexidine, 591 before the intervention and 1640 after. 55.3% were prescribed chlorhexidine before the change and 90.4% after (p<0.001). 6199 patients were considered in the HES intervention, 2177 before the intervention and 4022 after. The mean volume of HES infused per patient fell from 630 mL to 20 mL after the change (p<0.001) and the percentage of patients receiving HES fell from 54.1% to 3.1% (p<0.001). These results were well sustained with time.
CONCLUSIONS: The presentation of choices within an electronic prescribing system influenced the delivery of evidence-based interventions in a predictable way and the effect was well sustained. This approach has the potential to enhance the effectiveness of computerised order sets.

Entities:  

Keywords:  Cognitive Biases; Critical Care; Decision Support, Computerized; Evidence-Based Medicine; Implementation Science

Mesh:

Substances:

Year:  2013        PMID: 24282310     DOI: 10.1136/bmjqs-2013-002395

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  15 in total

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Authors:  Christopher P Bourdeaux; Matthew Jc Thomas; Timothy H Gould; Gaurav Malhotra; Andreas Jarvstad; Timothy Jones; Iain D Gilchrist
Journal:  BMJ Open       Date:  2016-05-26       Impact factor: 2.692

Review 5.  The effectiveness of computerised decision support on antibiotic use in hospitals: A systematic review.

Authors:  Christopher E Curtis; Fares Al Bahar; John F Marriott
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6.  Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK.

Authors:  Christopher J McWilliams; Daniel J Lawson; Raul Santos-Rodriguez; Iain D Gilchrist; Alan Champneys; Timothy H Gould; Mathew Jc Thomas; Christopher P Bourdeaux
Journal:  BMJ Open       Date:  2019-03-07       Impact factor: 2.692

Review 7.  A Scoping Review of Implementation Science in Adult Critical Care Settings.

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Journal:  Crit Care Explor       Date:  2020-12-16

8.  Association of a multiple-step action with cervical lymph node yield of oral cancer patients in an Asian country.

Authors:  Ching-Chieh Yang; Bor-Hwang Kang; Wen-Shan Liu; Chun-Hao Yin; Ching-Chih Lee
Journal:  BMC Oral Health       Date:  2021-01-13       Impact factor: 2.757

9.  A cluster randomized stepped-wedge trial to de-implement unnecessary post-operative antibiotics in children: the optimizing perioperative antibiotic in children (OPerAtiC) trial.

Authors:  Sara Malone; Virginia R McKay; Christina Krucylak; Byron J Powell; Jingxia Liu; Cindy Terrill; Jacqueline M Saito; Shawn J Rangel; Jason G Newland
Journal:  Implement Sci       Date:  2021-03-19       Impact factor: 7.327

10.  Patient Commitment to Health (PACT-Health) in the Heart Failure Population: A Focus Group Study of an Active Communication Framework for Patient-Centered Health Behavior Change.

Authors:  Daniella Meeker; Jordan Goldberg; Katherine K Kim; Desi Peneva; Hugo De Oliveira Campos; Ross Maclean; Van Selby; Jason N Doctor
Journal:  J Med Internet Res       Date:  2019-08-06       Impact factor: 5.428

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