ePrescribing-Based Antimicrobial Stewardship Practices in an English National Health Service Hospital: Qualitative Interview Study Among Medical Prescribers and Pharmacists.

BACKGROUND: Antimicrobial resistance, the ability of microorganisms to survive antimicrobial drugs, is a public health emergency. Although electronic prescribing (ePrescribing)-based interventions designed to reduce unnecessary antimicrobial usage exist, these often do not integrate effectively with existing workflows. As a result, ePrescribing-based interventions may have limited impact in addressing antimicrobial resistance. OBJECTIVE: We sought to understand the existing ePrescribing-based antimicrobial stewardship (AMS) practices in an English hospital preceding the implementation of functionality designed to improve AMS. METHODS: We conducted 18 semistructured interviews with medical prescribers and pharmacists with varying levels of seniority exploring current AMS practices and investigating potential areas for improvement. Participants were recruited with the help of local gatekeepers. Topic guides sought to explore both formal and informal practices surrounding AMS, and challenges and opportunities for ePrescribing-based intervention. We coded audio-recorded and transcribed data with the help of the Technology, People, Organizations, and Macroenvironmental factors framework, allowing emerging themes to be added inductively. We used NVivo 12 (QSR International) to facilitate coding. RESULTS: Antimicrobial prescribing and review processes were characterized by competing priorities and uncertainty of prescribers and reviewers around prescribing decisions. For example, medical prescribers often had to face trade-offs between individual patient benefit and more diffuse population health benefits, and the rationale for prescribing decisions was not always clear. Prescribing involved a complex set of activities carried out by various health care practitioners who each only had a partial and temporary view of the whole process, and whose relationships were characterized by deeply engrained hierarchies that shaped interactions and varied across specialties. For example, newly qualified doctors and pharmacists were hesitant to change a consultant's prescribing decision when reviewing prescriptions. Multidisciplinary communication, collaboration, and coordination promoted good AMS practices by reducing uncertainty. CONCLUSIONS: Design of ePrescribing-based interventions to improve AMS needs to take into account the multitude of actors and organizational complexities involved in the prescribing and review processes. Interventions that help reduce prescriber or reviewer uncertainty and improve multidisciplinary collaboration surrounding initial antimicrobial prescribing and subsequent prescription review are most likely to be effective. Without such attention, interventions are unlikely to fulfill their goal of improving patient outcomes and combatting antimicrobial resistance.

The impact of a novel medication scanner on administration errors in the hospital setting: a before and after feasibility study.

OBJECTIVE: The medication administration process is complex and consequently prone to errors. Closed Loop Medication Administration solutions aim to improve patient safety. We assessed the impact of a novel medication scanning device (MedEye) on the rate of medication administration errors in a large UK Hospital. METHODS: We performed a feasibility before and after study on one ward at a tertiary-care teaching hospital that used a commercial electronic prescribing and medication administration system. We conducted direct observations of nursing drug administration rounds before and after the MedEye implementation. We calculated the rate and type ('timing', 'omission' or 'other' error) of medication administration errors (MAEs) before and after the MedEye implementation. RESULTS: We observed a total of 1069 administrations before and 432 after the MedEye intervention was implemented. Data suggested that MedEye could support a reduction in MAEs. After adjusting for heterogeneity, we detected a decreasing effect of MedEye on overall errors (p = 0.0753). Non-timing errors ('omission' and 'other' errors) reduced from 51 (4.77%) to 11 (2.55%), a reduction of 46.5%, which had borderline significance at the 5% level, although this was lost after adjusting for confounders. CONCLUSIONS: This pilot study detected a decreasing effect of MedEye on overall errors and a reduction in non-timing error rates that was clinically important as such errors are more likely to be associated with harm. Further research is needed to investigate the impact on a larger sample of medications.

A rapid review and narrative synthesis of hospital to community pharmacy transfer of care services in England.

OBJECTIVES: A new discharge medicines service in England has been proposed for rollout in July 2020. This study aims to appraise the evidence for hospital to community pharmacy referral services in England. A rapid review methodology was adopted, findings were synthesised and reported narratively. The PubMed search engine was used and specific pharmacy journals were searched in March 2020. Studies published since 2012, reporting on transfer of care (ToC) services provided from hospitals and community pharmacies in England were included. Study data analysed included clinical outcomes; findings relating to implementation, staff and patient perceptions and experiences. Studies were assessed for risk of bias using a critical appraisal checklist. KEY FINDINGS: Ten studies met the inclusion criteria. The ToC services varied in relation to patients targeted, mode of referral, and post-discharge service provided. There were some conservative observations that ToC services were associated with reduced hospital readmission rates, however other outcomes were less well substantiated. Pharmacy staff were generally supportive of these services for patient benefit, however, patient engagement and accessibility issues have been reported. SUMMARY: There is some emerging evidence that hospital to community pharmacy referral services are associated with reduced hospital readmission. Service delivery reported in these studies highlights barriers and facilitators to patient recruitment, engagement and follow-up and limitations on recording and measuring meaningful outcomes. Future work is recommended to take advantage of the implementation and delivery of the national service that includes the analysis of patient data at scale to substantiate evidence in this area.

Medication errors and adverse drug events in a UK hospital during the optimisation of electronic prescriptions: a prospective observational study.

BACKGROUND: WHO's Third Global Patient Safety Challenge, Medication Without Harm, focused on reducing the substantial burden of iatrogenic harm associated with medications by 50% in the next 5 years. We aimed to assess whether the number and type of medication errors changed as an electronic prescribing system was optimised over time in a UK hospital. METHODS: We did a prospective observational study at a tertiary-care teaching hospital. Eight senior clinical pharmacists reviewed patients' records and collected data across four adult wards (renal, cardiology, general medical, and orthopaedic surgical) over a 2-year period (from Sept 29, 2014, to June 9, 2016). All medication errors and potential and actual adverse drug events were documented and the number of medication errors measured over the course of four time periods 7-10 weeks long. Pharmacists also recorded instances where the electronic prescribing system contributed to an error (system-related errors). A negative-binomial model and a Poisson model were used to identify factors related to medication error rates. FINDINGS: 5796 primary errors were recorded over the four time periods (period 1, 47 days [Sep 29-Dec 2, 2014]; period 2, 38 days [April 20-June 12, 2015, for the renal, medical, and surgical wards and April 20-June 15, 2015, for the cardiology ward]; period 3, 35 days [Sep 28-Nov 27, 2015] for the renal ward, 37 days [Sep 28-Nov 23, 2015] for the medical ward, and 40 days [Sep 28-Nov 20, 2015] for the cardiology and surgical wards; and period 4, 37 days [Feb 22-April 15, 2015] for the renal and medical wards and 39 days for the cardiology [April 13-June 7, 2015] and surgery [April 18-June 9, 2015] wards; unanticipated organisational factors prevented data collection on some days during each time period). There was no change in the rate of primary medication errors per admission over the observation periods: 1·53 medication errors in period 1, 1·44 medication errors in period 2, 1·70 medication errors in period 3, and 1·43 medication errors in period 4, per admission. By contrast, the overall rate of different types of medication errors decreased over the four periods. The most common types of error were medicine-reconciliation, dose, and avoidable delay-of-treatment errors. Some types of errors appeared to reduce over time (eg, dose errors [from 52 errors in period 1 to 19 errors in period 4, per 100 admissions]), whereas others increased (eg, inadequate follow-up of therapy [from 12 errors in period 1 to 24 errors in period 4, per 100 admissions]). We also found a reduction in the rates of potential adverse drug events between the first three periods and period 4. 436 system-related errors were recorded over the study period. INTERPRETATION: Although the overall rates of primary medication errors per admission did not change, we found a reduction in some error types and a significant decrease in the rates of potential adverse drug events over a 2-year period, during which system optimisation occurred. Targeting some error types could have the added benefit of reducing others, which suggests that system optimisation could ultimately help improve patient safety and outcomes. FUNDING: No funding.

New transfer of care initiative of electronic referral from hospital to community pharmacy in England: a formative service evaluation.

OBJECTIVES: To evaluate an electronic patient referral system from one UK hospital Trust to community pharmacies across the North East of England. SETTING: Two hospital sites in Newcastle-upon-Tyne and 207 community pharmacies. PARTICIPANTS: Inpatients who were considered to benefit from on-going support and continuity of care after leaving hospital. INTERVENTION: Electronic transmission of an information related to patient's medicines to their nominated community pharmacy. Community pharmacists to provide a follow-up consultation tailored to the individual patient needs. PRIMARY AND SECONDARY OUTCOMES: Number of referrals made to and received by different types of pharmacies; reasons for referrals; accepted/completed and rejected referred rates; reasons for rejections by community pharmacists; time to action referrals; details of the follow-up consultations; readmission rates at 30, 60 and 90 days post referral and number of hospital bed days. RESULTS: 2029 inpatients were referred over a 13-month period (1 July 2014-31 July 2015). Only 31% (n=619) of these patients participated in a follow-up consultation; 47% (n=955) of referrals were rejected by community pharmacies with the most common reason being 'patient was uncontactable' (35%, n=138). Most referrals were accepted/completed within 7 days of receipt and most rejections were made >2 weeks after referral receipt. Most referred patients were over 60 years of age and referred for a Medicines Use Review (MUR) or enrolment for the New Medicines Service (NMS). Those patients who received a community pharmacist follow-up consultation had statistically significant lower rates of readmissions and shorter hospital stays than those patients without a follow-up consultation. CONCLUSIONS: Hospital pharmacy staff were able to use an information technology (IT) platform to improve the coordination of care for patients transitioning back home from hospital. Community pharmacists were able to contact the majority of patients and results indicate that patients receiving a follow-up consultation may have lower rates of readmission and shorter hospital stays.