Raising the barcode: improving medication safety behaviours through a behavioural science-informed feedback intervention. A quality improvement project and difference-in-difference analysis.

Barcode medication administration (BCMA) technology can improve patient safety by using scanning technology to ensure the right drug and dose are given to the right patient. Implementation can be challenging, requiring adoption of different workflows by nursing staff. In one London National Health Service trust scanning rates were lower than desired at around 0-20% of doses per ward. Our objective was to encourage patient safety behaviours in the form of medication scanning through implementation of a feedback intervention. This was informed by behavioural science, codesigned with nurses and informed by known barriers to use. Five wards were selected to trial the intervention over an 18-week period beginning August 2021. The remaining 14 hospital wards acted as controls. Intervention wards had varying uptake of BCMA at baseline and represented a range of specialties. A bespoke feedback intervention comprising three behavioural science constructs (gamification, the messenger effect and framing) was delivered to each intervention ward each week. A linear difference-in-difference analysis was used to evaluate the impact of our intervention on scan rates, both for the overall 18-week period and at two weekly intervals within this timeframe. We identified a 23.1 percentage point increase in medication scan rates (from an average baseline of 15.0% to 38.1%) on the intervention wards compared with control (p<0.001) following implementation of the intervention. Feedback had most impact in the first 6 weeks, with an initial percentage point increase of 26.3 (p<0.001), which subsequently plateaued. Neither clinical specialty nor number of beds on each ward were significant factors in our models. Our study demonstrated that a feedback intervention, codesigned with end users and incorporating behavioural science constructs, can lead to a significant increase in the adoption of BCMA scanning.

Experiences of dental behaviour support techniques: A qualitative systematic review.

BACKGROUND: Little is known about patients' or carers' reported experiences of dental care provided using dental behaviour support (DBS) techniques. Qualitative literature can provide unique insight into these experiences. AIM: To explore and synthesize qualitative literature related to patient experience of dental behaviour support. METHODS: A PROSPERO-registered systematic review of qualitative articles was undertaken. Studies were identified through MEDLINE, Embase and PsycINFO. Abstracts were screened by two reviewers and data were extracted to summarize the qualitative findings included within them. A thematic summary approach was used to synthesize the qualitative data identified. RESULTS: Twenty-three studies were included. Studies primarily explored experiences of dental care of children by speaking to their parents (n = 16), particularly regarding paediatric dental general anaesthesia (DGA) (n = 8). Studies of adults' experiences of DBS (n = 7) covered a range of techniques. Nine studies explored broader dental care experiences and did not study specific DBS approaches. A thematic synthesis identified five themes applicable across the studies identified: Trust and the therapeutic alliance supporting effective care delivery; considered information sharing often alleviated anticipatory anxiety; control and autonomy-reduced anxieties; variations in the perceived treatment successes and failures of DBS techniques; and DBS techniques produced longer positive and negative impacts on patients beyond direct care provision. CONCLUSION: Qualitative research has been under-utilized in research on DBS techniques. Care experiences of most DBS techniques outside of paediatric DGA are poorly understood. Building trust with patients and enabling autonomy appear to support positive patient-reported experiences of care.

Insights from a single centre implementation of a digitally-enabled atrial fibrillation virtual ward.

Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia and poses a significant public health burden. Virtual wards are a novel approach utilising digital solutions to provide hospital-level care remotely; their rollout has become a key priority for the UK National Health Service to expand acute care capacity. We devised and implemented a digitally-enabled AF virtual ward to monitor patients being established onto medical therapy following an AF diagnosis or an AF-related hospitalisation. Patients were onboarded either as outpatients to avoid admission or on discharge after an acute AF hospitalisation. Remote monitoring was undertaken using a clinically validated photoplethysmography-based smartphone app. Over a 1-2 week period, patients performed twice daily measurements of heart rate and rhythm and provided corresponding symptoms. A traffic light system guided frequency of telephone assessments by specialist practitioners. Red flag symptoms or abnormal heart rate parameters prompted an urgent care escalation. We report our experience of the first 73 patients onboarded to the AF virtual ward from October 2022 to June 2023 (mean age 65 years, median 68 years, IQR range 27-101 years; 33 females). Thirty-nine (53%) patients had red flag features requiring care escalation, of whom 9 (23%) were advised to attend ED (emergency department) for urgent assessment, 10 (26%) attended for expedited review and 14 (36%) required medication changes. By 3 months post-monitoring, only 3 patients (4%) had re-attended ED with an arrhythmia-related presentation. Virtual ward patients had an average 3-day shorter inpatient stay (mean duration 4 days) compared with AF patients hospitalised prior to virtual ward implementation (mean duration 7 days). Overall, 22 arrhythmia-related readmissions were prevented via the virtual ward model. In this study, we present a novel implementation of a digitally-enabled virtual ward for the acute management of patients with newly diagnosed or poorly controlled AF. Our pilot data indicate that this model is feasible and is potentially cost-effective. Further longitudinal study is needed to definitively evaluate long-term clinical utility and safety.

Discovery and Characterization of a Bicyclic Peptide (Bicycle) Binder to Thymic Stromal Lymphopoietin.

Thymic stromal lymphopoietin (TSLP) is an epithelial-derived pro-inflammatory cytokine involved in the development of asthma and other atopic diseases. We used Bicycle Therapeutics' proprietary phage display platform to identify bicyclic peptides (Bicycles) with high affinity for TSLP, a target that is difficult to drug with conventional small molecules due to the extended protein-protein interactions it forms with both receptors. The hit series was shown to bind to TSLP in a hotspot, that is also used by IL-7Rα. Guided by the first X-ray crystal structure of a small peptide binding to TSLP and the identification of key metabolites, we were able to improve the proteolytic stability of this series in lung S9 fractions without sacrificing binding affinity. This resulted in the potent Bicycle 46 with nanomolar affinity to TSLP (KD = 13 nM), low plasma clearance of 6.4 mL/min/kg, and an effective half-life of 46 min after intravenous dosing to rats.

A scoping review of interventions and outcome measures in trials of dental behavior support.

BACKGROUND: Dental behavior support (DBS) describes all techniques used by dental professionals to ensure that dental care is safe, effective, and acceptable. There is a need to standardize outcome measures across DBS techniques to reduce heterogeneity, limit selective reporting, promote consistency, and optimize outcomes across DBS research. A comprehensive review of existing measures is a prerequisite to understanding potential outcomes related to the area of interest. AIM: This review had three aims: first, to identify the outcome measures (OMs) reported in trials of dental behavior support; second, to categorize the component DBS techniques reported within interventions according to emerging agreed terminology; and, third, to map outcome measures to intervention type. METHODS: A scoping review of trials evaluating DBS techniques was undertaken from 2012 to 2022. The review was prospectively registered. Studies were identified through Medline, Embase, and PsycINFO. Study abstracts were screened by two reviewers. Data were extracted by single selector. Outcome measures were sorted according to measurement domains (physiological, behavioral, psychological, and treatment). Responses were assimilated and summed to produce a refined list of distinguishable outcome measures. Intervention types were categorized according to accepted descriptors. Frequencies were presented; associations between outcome domain and DBS type were also reported (Chi-square test of independence). RESULTS: A total of 344 trials were included in the review from an initial 14,793 titles / title and abstracts screened. Most involved children (n = 215), most were from India (n = 104), involving basic dental care (n = 117). The median number of outcome measures per trial was four (range = 1-12); 1,317 individual outcomes were reported, categorized as: psychological (n = 501, 38.0%); physiological (n = 491, 37.3%), behavioral (n = 123, 9.3%) or, treatment-related (n = 202, 15.3%). DBS interventions were split between 239 (45.7%) pharmacological and 283 (54.1%) non-pharmacological; 96.6% of interventions mapped to accepted descriptors. A significant relationship was noted between the type of intervention and the outcome domain reported. CONCLUSION: The findings demonstrate massive variation in outcome measures of DBS interventions that likely lead to unnecessary heterogeneity, selective reporting, and questionable relevance in the literature. A large range of DBS interventions were mapped according to BeSiDe list. There is a need for consensus on a core outcome set across the spectrum of DBS techniques.