Sarah K. Pontefract

Investigating the ways in which health information technology can promote antimicrobial stewardship: a conceptual overview

Antimicrobial resistance is now recognised as a threat to health worldwide. Antimicrobial stewardship aims to promote the responsible use of antibiotics and is high on international and national policy agendas. Health information technology has the potential to support antimicrobial stewardship in a number of ways, but this field is still poorly characterised and understood. Building on a recent systematic review and expert roundtable discussions, we take a lifecycle perspective of antibiotic use in hospitals and identify potential targets for health information technology-based interventions to support antimicrobial stewardship. We aim for this work to help chart a future research agenda in this critically important area.

Pharmacist-Physician Communications in a Highly Computerised Hospital: Sign-Off and Action of Electronic Review Messages

Background Some hospital Computerized Physician Order Entry (CPOE) systems support interprofessional communication. The aim of this study was to investigate the effectiveness of pharmacist-physician messages sent via a CPOE system. Method Data from the year 2012 were captured from a large university teaching hospital CPOE database on: 1) review messages assigned by pharmacists; 2) details of the prescription on which the messages were assigned; and 3) details of any changes made to the prescription following a review message being assigned. Data were coded for temporal, message and prescription factors. Messages were analysed to investigate: 1) whether they were signed-off; and 2) the time taken. Messages that requested a measurable action were further analysed to investigate: 1) whether they were actioned as requested; and 2) the time taken. We conducted a multivariable analysis using Generalised Estimating Equations (GEE) to account for the effects of multiple factors simultaneously, and to adjust for any potential correlation between outcomes for repeated review messages on the same prescription. All analyses were performed using SPSS 22 (IBM SPSS Inc., Chicago, IL, USA), with p<0.05 considered significant. Results Pharmacists assigned 36,245 review messages to prescriptions over the 12 months, 34,506 of which were coded for analysis after exclusions. Nearly half of messages (46.6%) were signed-off and 65.5% of these were signed-off in ≤ 48 hours. Of the 9,991 further analysed for action, 35.8% led to an action as requested by the pharmacist and just over half of these (57.0%) were actioned in ≤ 24 hours. Factors predictive of an action were the time since the prescription was generated (p<0.001), pharmacist grade (p<0.001), presence of a high-risk medicine (p<0.001), messages relating to reconciliation (p = 0.004), theme of communication (p<0.001), speciality, (p<0.001), category of medicine (p<0.001), and regularity of the prescription (p<0.001). Conclusion In this study we observed a lower rate of sign-off and action than we might have expected, suggesting uni-directional communication via the CPOE system may not be optimal. An established pharmacist-physician collaborative working relationship is likely to influence the prioritisation and response to messages, since a more desirable outcome was observed in settings and with grades of pharmacists where this was more likely. Designing systems that can facilitate collaborative communication may be more effective in practice.

Best practice strategies to safeguard drug prescribing and drug administration: an anthology of expert views and opinions

Background While evidence on implementation of medication safety strategies is increasing, reasons for selecting and relinquishing distinct strategies and details on implementation are typically not shared in published literature. Objective We aimed to collect and structure expert information resulting from implementing medication safety strategies to provide advice for decision-makers. Setting Medication safety experts with clinical expertise from thirteen hospitals throughout twelve European and North American countries shared their experience in workshop meetings, on-site-visits and remote structured interviews. Methods We performed an expert-based, in-depth assessment of implementation of best-practice strategies to improve drug prescribing and drug administration. Main outcome measures Workflow, variability and recommended medication safety strategies in drug prescribing and drug administration processes. Results According to the experts, institutions chose strategies that targeted process steps known to be particularly error-prone in the respective setting. Often, the selection was channeled by local constraints such as the e-health equipment and critically modulated by national context factors. In our study, the experts favored electronic prescribing with clinical decision support and medication reconciliation as most promising interventions. They agreed that self-assessment and introduction of medication safety boards were crucial to satisfy the setting-specific differences and foster successful implementation. Conclusion While general evidence for implementation of strategies to improve medication safety exists, successful selection and adaptation of a distinct strategy requires a thorough knowledge of the institute-specific constraints and an ongoing monitoring and adjustment of the implemented measures.

High-priority and low-priority drug–drug interactions in different international electronic health record systems: A comparative study

OBJECTIVES To investigate whether alert warnings for high-priority and low-priority drug-drug interactions (DDIs) were present in five international electronic health record (EHR) systems, to compare and contrast the severity level assigned to them, and to establish the proportion of alerts that were overridden. METHODS We conducted a comparative, retrospective, multinational study using a convenience sample of 5 EHRs from the U.S., U.K., Republic of Korea and Belgium. RESULTS Of the 15 previously defined, high-priority, class-based DDIs, alert warnings were found to exist for 11 in both the Korean and UK systems, 9 in the Belgian system, and all 15 in the two US systems. The specific combinations that were included in these class-based DDIs varied considerably in number, type and level of severity amongst systems. Alerts were only active for 8.4% (52/619) and 52.4% (111/212) of the specific drug-drug combinations contained in the Belgian and UK systems, respectively. Hard stops (not possible to override) existed in the US and UK systems only. The override rates for high-priority alerts requiring provider action ranged from 56.7% to 83.3%. Of the 33 previously defined low-priority DDIs, active alerts existed only in the US systems, for three class-based DDIs. The majority were non-interruptive. CONCLUSIONS Alert warnings existed for most of the high-priority DDIs in the different EHRs but overriding them was easy in most of the systems. In addition to validating the high- and low-priority DDIs, this study reported a lack of standardization in DDI levels across different international knowledge bases.

The ‘top 100’ drugs and classes in England: an updated ‘starter formulary’ for trainee prescribers

Prescribing is a complex skill required of doctors and, increasingly, other healthcare professionals. Use of a personal formulary can help to develop this skill. In 2006–9, we developed a core list of the 100 most commonly prescribed drugs. Our aim in the present study was to update this ‘starter formulary’ to ensure its continued relevance for prescriber training.

Impact of a commercial order entry system on prescribing errors amenable to computerised decision support in the hospital setting: a prospective pre-post study

Background In this UK study, we investigated the impact of computerised physician order entry (CPOE) and clinical decision support (CDS) implementation on the rate of 78 high-risk prescribing errors amenable to CDS. Methods We conducted a preintervention/postintervention study in three acute hospitals in England. A predefined list of prescribing errors was incorporated into an audit tool. At each site, approximately 4000 prescriptions were reviewed both pre-CPOE and 6 months post-CPOE implementation. The number of opportunities for error and the number of errors that occurred were collated. Error rates were then calculated and compared between periods, as well as by the level of CDS. Results The prescriptions of 1244 patients were audited pre-CPOE and 1178 post-CPOE implementation. A total of 28 526 prescriptions were reviewed, with 21 138 opportunities for error identified based on 78 defined errors. Across the three sites, for those prescriptions where opportunities for error were identified, the error rate was found to reduce significantly post-CPOE implementation, from 5.0% to 4.0% (P<0.001). CDS implementation by error type was found to differ significantly between sites, ranging from 0% to 88% across clinical contraindication, dose/frequency, drug interactions and other error types (P<0.001). Overall, 43/78 (55%) of the errors had some degree of CDS implemented in at least one of the hospitals. Conclusions Implementation of CPOE with CDS was associated with clinically important reductions in the rate of high-risk prescribing errors. Given the pre-post design, these findings however need to be interpreted with caution. The occurrence of errors was found to be highly dependent on the level of restriction of CDS presented to the prescriber, with the effect that different configurations of the same CPOE system can produce very different results.

A literature review of the training offered to qualified prescribers to use electronic prescribing systems: Why is it so important?

A key element of the implementation and ongoing use of an electronic prescribing (ePrescribing) system is ensuring that users are, and remain, sufficiently trained to use the system. Studies have suggested that insufficient training is associated with suboptimal use. However, it is not clear from these studies how clinicians are trained to use ePrescribing systems or the effectiveness of different approaches. We sought to describe the various approaches used to train qualified prescribers on ePrescribing systems and to identify whether users were educated about the pitfalls and challenges of using these systems.

Perceptions and impact of mandatory eLearning for foundation trainee doctors: a qualitative evaluation

Background Junior doctors in the UK must complete various educational components during their two year Foundation training programme. It is important that mandatory learning is informative and engaging. The aim of this study was to evaluate trainee doctors’ perceptions of a Technology Enhanced Learning (TEL) programme developed to improve prescribing competency. Method Focus groups and interviews were conducted at three hospital sites in the West Midlands. Codes, sub-themes and themes were determined using deductive and inductive thematic analysis. Results Data were collected from 38 Foundation trainee doctors. Results revealed major themes relating to prescribing education, the user experience and user engagement. Key findings included the positive impact of preparedness following undergraduate education on the user experience of the TEL programme at the postgraduate level; the impact of content, structure, and individual learning needs and styles on the user experience; and the impact of motivation and time on engagement. Most trainees engaged with the programme owing to its mandatory nature; however, some trainees also used the programme voluntarily, for example, to acquire knowledge prior to starting a new placement. Conclusions It is important to ensure that learners are willing to engage with mandatory TEL, and that they have the time and motivation to do so. It is also important to ensure that learners have a positive user experience and that in designing TEL individual differences in learning styles and needs are taken into account. These findings have implications for educators and system developers in the construction and design of mandatory eLearning programmes.