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Unintended harms from medicines caused by adverse drug reactions and medication errors are common. The medication process is very complex, and error can occur in the development, manufacture, distribution, prescribing, dispensing, administration, and monitoring of medicines. The prescriber, to avoid error, must first make careful decisions tailored to account for numerous factors that differ from patient to patient, then communicate orders that others must execute meticulously and whose consequences must be adequately monitored. [ABSTRACT FROM AUTHOR]

Background: Antibiotic resistant infections cause over 700,000 deaths worldwide annually. As antimicrobial stewardship (AMS) helps minimise the emergence of antibiotic resistance resulting from inappropriate use of antibiotics in healthcare, we developed ePAMS+ (ePrescribing-based Anti-Microbial Stewardship), an ePrescribing and Medicines Administration (EPMA) system decision-support tool complemented by educational, behavioural and organisational elements., Methods: We conducted a non-randomised before-and-after feasibility trial, implementing ePAMS+ in two English hospitals using the Cerner Millennium EPMA system. Wards of several specialties were included. Patient participants were blinded to whether ePAMS+ was in use; prescribers were not. A mixed-methods evaluation aimed to establish: acceptability and usability of ePAMS+ and trial processes; feasibility of ePAMS+ implementation and quantitative outcome recording; and a Fidelity Index measuring the extent to which ePAMS+ was delivered as intended. Longitudinal semi-structured interviews of doctors, nurses and pharmacists, alongside non-participant observations, gathered qualitative data; we extracted quantitative prescribing data from the EPMA system. Normal linear modelling of the defined daily dose (DDD) of antibiotic per admission quantified its variability, to inform sample size calculations for a future trial of ePAMS+ effectiveness., Results: The research took place during the SARS-CoV-2 pandemic, from April 2021 to November 2022. 60 qualitative interviews were conducted (33 before ePAMS+ implementation, 27 after). 1,958 admissions (1,358 before ePAMS+ implementation; 600 after) included 24,884 antibiotic orders. Qualitative interviews confirmed that some aspects of ePAMS+ , its implementation and training were acceptable, while other features (e.g. enabling combinations of antibiotics to be prescribed) required further development. ePAMS+ uptake was low (28 antibiotic review records from 600 admissions; 0.047 records per admission), preventing full development of a Fidelity Index. Normal linear modelling of antibiotic DDD per admission showed a residual variance of 1.086 (log-transformed scale). Unavailability of indication data prevented measurement of some outcomes (e.g. number of antibiotic courses per indication)., Conclusions: This feasibility trial encountered unforeseen circumstances due to contextual factors and a global pandemic, highlighting the need for careful adaptation of complex intervention implementations to the local setting. We identified key refinements to ePAMS+ to support its wider adoption in clinical practice, requiring further piloting before a confirmatory effectiveness trial., Trial Registration: ISRCTN Registry ISRCTN13429325, 24 March 2022., (© 2024. The Author(s).)

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., (©Kathrin Cresswell, Susan Hinder, Aziz Sheikh, Sarah Pontefract, Neil W Watson, David Price, Andrew Heed, Jamie Coleman, Holly Ennis, Jillian Beggs, Antony Chuter, Robin Williams. Originally published in JMIR Formative Research (https://formative.jmir.org), 06.06.2023.)

Background: Preventable harm from medicines is a global problem creating huge economic and social burden. Interruptions occur frequently in clinical environments causing medication episodes to take longer and having a cognitive cost on the nurse., Aim: The aim of this scoping review is to identify and evaluate educational interventions that have been employed to reduce medication interruptions and improve medication safety., Methods: Six databases were searched for the scoping review (PubMed, Embase, Cochrane Library, CINAHL, Pishin and Medline) along with reference lists and grey literature searches. Articles were included if they were written in English, published between 2010 and 2020 and employed an education intervention (including bundled interventions). Databases were searched using keywords and Boolean operators., Results: Eight studies met the inclusion criteria. Seven of these studies were conducted in hospital (adults n = 6, paediatric n = 1) and one study in a university with undergraduate nurses. Four studies used a combined intervention and four exclusively employed an education intervention. Five studies found a significant decrease in the number of interruptions post intervention, but one of the studies that exclusively employed an education intervention found no significant difference. Changes in the nurses' behaviour post intervention were also cited in two studies., Implications for Future Research: There was a lack of exclusive education interventions, making it difficult to determine the effectiveness of education at reducing medication interruptions. This review highlights the necessity of some interruptions when performing tasks, for example, to make a nurse aware of a deteriorating patient. However, as the majority of studies used the number of interruptions to determine the effectiveness of the intervention, there is uncertainty as to whether this is the right outcome measure to use. In the future, a focus on outcome measures reflecting change in nurse behaviour may be more effective in determining the strength of an educational intervention., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Antimicrobial resistance is a leading global public health threat, with inappropriate use of antimicrobials in healthcare contributing to its development. Given this urgent need, we developed a complex ePrescribing-based Anti-Microbial Stewardship intervention (ePAMS+)., Methods: ePAMS+ includes educational and organisational behavioural elements, plus guideline-based clinical decision support to aid optimal antimicrobial use in hospital inpatients. ePAMS+ particularly focuses on prompt initiation of antimicrobials, followed by early review once test results are available to facilitate informed decision-making on stopping or switching where appropriate. A mixed-methods feasibility trial of ePAMS+ will take place in two NHS acute hospital care organisations. Qualitative staff interviews and observation of practice will respectively gather staff views on the technical component of ePAMS+ and information on their use of ePAMS+ in routine work. Focus groups will elicit staff and patient views on ePAMS+; one-to-one interviews will discuss antimicrobial stewardship with staff and will record patient experiences of receiving antibiotics and their thoughts on inappropriate prescribing. Qualitative data will be analysed thematically. Fidelity Index development will enable enactment of ePAMS+ to be measured objectively in a subsequent trial assessing the effectiveness of ePAMS+. Quantitative data collection will determine the feasibility of extracting data and deriving key summaries of antimicrobial prescribing; we will quantify variability in the primary outcome, number of antibiotic defined daily doses, to inform the future larger-scale trial design., Discussion: This trial is essential to determine the feasibility of implementing the ePAMS+ intervention and measuring relevant outcomes, prior to evaluating its clinical and cost-effectiveness in a full scale hybrid cluster-randomised stepped-wedge clinical trial. Findings will be shared with study sites and with qualitative research participants and will be published in peer-reviewed journals and presented at academic conferences., Trial Registration: The qualitative and Fidelity Index research were approved by the Health and Research Authority and the North of Scotland Research Ethics Service (ref: 19/NS/0174). The feasibility trial and quantitative analysis (protocol v1.0, 15 December 2021) were approved by the London South East Research Ethics Committee (ref: 22/LO/0204) and registered with ISRCTN ( ISRCTN 13429325 ) on 24 March 2022., (© 2022. The Author(s).)

Background: Rheumatoid arthritis (RA) is a chronic inflammatory arthritis which can cause joint damage and reduced quality of life. Early treatment of RA within 3 months of symptom onset is associated with improved clinical outcomes. However, this window of opportunity is often missed. One important contributing factor is patients with symptoms of RA delaying consulting their general practitioner (GP). Previous research indicates that patients with inflammatory arthritis are likely to visit pharmacies for advice before consulting their GP. Therefore, pharmacists are well positioned to identify patients with symptoms of early inflammatory arthritis and signpost them appropriately. This research examines community pharmacy staff's knowledge, perceptions, and approaches to management of patients presenting with symptoms of RA in order to identify training needs and other opportunities for intervention to enhance the role of pharmacy staff in the pathway to care., Methods: Semi-structured interviews were conducted with 19 community pharmacy staff in the West Midlands (UK), during a 12-month period (2017-2018). The interviews were audio-recorded, transcribed, and analyzed using thematic analysis facilitated by NVivo 12., Results: There was considerable variation in knowledge and perceptions of RA and the need for early treatment amongst pharmacists and other pharmacy staff. The potential role of pharmacists and other pharmacy staff in reducing delay in help-seeking was also discussed. Four themes emerged from thematic analysis: (1) Variations in perceptions and knowledge about RA. (2) The role of the pharmacy in increasing public awareness about RA. (3) The role of the pharmacy staff in facilitating access to the GP. (4) Practical considerations for pharmacy-based interventions., Conclusion: Variability in knowledge and perceptions of RA amongst pharmacists, and amongst other pharmacy staff will affect effective signposting of suspected RA cases. This study identifies opportunities for enhanced training of community pharmacists and other pharmacy staff in relation to inflammatory arthritis as well as other pharmacy-based interventions, such as public awareness campaigns about RA and other musculoskeletal conditions. Together with existing referral services and other pharmacy-based initiatives this could result in enhanced signposting to GP consultation or other appropriate NHS services for inflammatory symptoms and reduced treatment delay., (© 2022. The Author(s).)

Increasingly, births around the world are started artificially using medications or other methods. This process is known as induction of labour. As it becomes more common, methods are needed to meet the different clinical needs and birth preferences of women. Induction of labour typically includes a combination of the medication dinoprostone inserted into the vagina, artificial rupture of membranes ('releasing the waters'), and synthetic oxytocin (hormone given via a drip). This paper reviews some of the methods less commonly used for induction in the UK, namely a drug called misoprostol, which can be given orally or vaginally, and 'mechanical' methods, where labour is started by stretching the cervix (neck of the womb), most commonly with a soft silicone tube with a balloon near the tip, filled with water. Low-dose oral misoprostol tablets are now commercially available in the UK. Other methods for labour induction are not reviewed in detail in this paper. The evidence suggests mechanical induction of labour (using a balloon catheter) and misoprostol are both at least as safe and effective as using the standard drug, dinoprostone. There is evidence to suggest a balloon catheter may reduce the chance of serious negative outcomes for babies when compared with dinoprostone, and that giving low-dose oral misoprostol results in fewer caesarean births. Where possible and after informed consent, the method of induction of labour should be personalised to suit the individual woman, her clinical condition, and the setting in which she is giving birth. Local contexts and resources also need to be taken into account. To date, research into women's perspectives and experiences of induction of labour have been significantly lacking., (© 2022 John Wiley & Sons Ltd.)

Aim: To develop a set of prescribing safety indicators related to mental health disorders and medications, and to estimate the risk of harm associated with each indicator., Method: A modified two-stage electronic Delphi. The first stage consisted of two rounds in which 31 experts rated their agreement with a set of 101 potential mental health related prescribing safety indicators using a five-point scale and given the opportunity to suggest other indicators. Indicators that achieved 80% agreement were accepted. The second stage comprised a single round in which 29 members estimated the risk of harm for each accepted indicator by assessing the occurrence likelihood and outcome severity using two five-point scales. Indicators were considered high or extreme risk when at least 80% of participants rated each indicator as high or extreme., Results: Seventy-five indicators were accepted in the first stage. Following the second stage, 42 (56%) were considered to be high or extreme risk for patient care. The 42 indicators comprised different types of hazardous prescribing, including drug-disease interactions (n = 12), drug-drug interactions (n = 9), inadequate monitoring (n = 5), inappropriate duration (n = 4), inappropriate dose (n = 4), omissions (n = 4), potentially inappropriate medications (n = 3) and polypharmacy (n = 1). These indicators also covered different mental health related medication classes, including antipsychotics (n = 14), mood stabilisers (n = 8), antidepressants (n = 6), sedative, hypnotics and anxiolytics (n = 6), anticholinergic (n = 6) and nonspecific psychotropics (n = 2)., Conclusion: This study has developed the first suite of prescribing safety indicators related to mental health disorders and medications, which could inform the development of future safety improvement initiatives and interventional studies., (© 2020 The Authors. British Journal of Clinical Pharmacology published by John Wiley & Sons Ltd on behalf of British Pharmacological Society.)

Aims: 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., Methods: We analysed large contemporary primary and secondary care datasets to identify the most frequently prescribed medicinal products. Items were classified into natural groups, broadly following their British National Formulary classification. The resulting drug groups were included in the core list if they comprised ≥0.1% prescriptions in both settings or ≥0.2-0.3% prescriptions in one setting. Drugs from emergency guidelines that did not qualify by prescribing frequency completed the list., Results: Over 1 billion primary care items and approximately 1.8 million secondary care prescriptions were analysed. The updated list comprises 81 drug groups commonly prescribed in both settings; six from primary care; seven from secondary care; and six from emergency guidelines. Eighty-eight per cent of the formulary was unchanged. Notable changes include entry of newer anti-epileptics and dipeptidyl peptidase-4 inhibitors and exit of phenytoin and thiazolidinediones., Conclusions: The relative stability of the core drug list over 9 years and the current update ensure that learning based on this list remains relevant to practice. Trainee prescribers may be encouraged to use this 'starter formulary' to develop a sound basis of prescribing knowledge and skills that they can subsequently apply more widely., (© 2018 The British Pharmacological Society.)

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., (Copyright © 2017. Published by Elsevier B.V.)

Aims: The aim of the study was to develop a list of hospital based paediatric prescribing indicators that can be used to assess the impact of electronic prescribing or clinical decision support tools on paediatric prescribing errors., Methods: Two rounds of an electronic consensus method (eDelphi) were carried out with 21 expert panellists from the UK. Panellists were asked to score each prescribing indicator for its likelihood of occurrence and severity of outcome should the error occur. The scores were combined to produce a risk score and a median score for each indicator calculated. The degree of consensus between panellists was defined as the proportion that gave a risk score in the same category as the median. Indicators were included if a consensus of 80% or higher was achieved and were in the high risk categories., Results: Each of the 21 panellists completed an exploratory round and two rounds of scoring. This identified 41 paediatric prescribing indicators with a high risk rating and greater than 80% consensus. The most common error type within the indicators was wrong dose (n = 19) and the most common drug classes were antimicrobials (n = 10) and cardiovascular (n = 7)., Conclusions: A set of 41 paediatric prescribing indicators describing potential harm for the hospital setting has been identified by an expert panel. The indicators provide a standardized method of evaluation of prescribing data on both paper and electronic systems. They can also be used to assess implementation of clinical decision support systems or other quality improvement initiatives., (© 2016 The British Pharmacological Society.)