Nuclear Charge Radius of

Collinear laser spectroscopy was performed on the isomer of the aluminium isotope ^{26m}Al. The measured isotope shift to ^{27}Al in the 3s^{2}3p ^{2}P_{3/2}^{○}→3s^{2}4s ^{2}S_{1/2} atomic transition enabled the first experimental determination of the nuclear charge radius of ^{26m}Al, resulting in R_{c}=3.130(15) fm. This differs by 4.5 standard deviations from the extrapolated value used to calculate the isospin-symmetry breaking corrections in the superallowed ß decay of ^{26m}Al. Its corrected Ft value, important for the estimation of V_{ud} in the Cabibbo-Kobayashi-Maskawa matrix, is thus shifted by 1 standard deviation to 3071.4(1.0) s.

Disease-specific wearable sensor algorithms for profiling activity, gait, and balance in individuals with Charcot-Marie-Tooth disease type 1A.

BACKGROUND/AIMS: Charcot-Marie-Tooth Disease type 1A (CMT1A), the most common inherited peripheral neuropathy, is characterized by progressive sensory loss and weakness, which results in impaired mobility. Increased understanding of the genetics and pathophysiology of CMT1A has led to development of potential therapeutic agents, necessitating clinical trial readiness. Wearable sensors may provide useful outcome measures for future trials. METHODS: Individuals with CMT1A and unaffected controls were recruited for this 12-month study. Participants wore sensors for in-clinic assessments and at-home, from which activity, gait, and balance metrics were derived. Mann-Whitney U tests were used to analyze group differences for activity, gait, and balance parameters. Test-retest reliability of gait and balance parameters and correlations of these parameters with clinical outcome assessments (COAs) were examined. RESULTS: Thirty individuals, 15 CMT1A, and 15 controls, participated. Gait and balance metrics demonstrated moderate to excellent reliability. CMT1A participants had longer step durations (p < .001), shorter step lengths (p = .03), slower gait speeds (p < .001), and greater postural sway (p < .001) than healthy controls. Moderate correlations were found between CMT-Functional Outcome Measure and step length (r = -0.59; p = .02), and gait speed (r = 0.64; p = .01); 11 out of 15 CMT1A participants demonstrated significant increases in stride duration between the first and last quarter of the 6-min walk test, suggesting fatigue. INTERPRETATION: In this initial study, gait and balance metrics derived from wearable sensors were reliable and associated with COAs in individuals with CMT1A. Larger longitudinal studies are needed to confirm our findings and evaluate sensitivity and utility of these disease-specific algorithms for clinical trial use.

A cluster randomised, 16-week, parallel-group multicentre trial to compare the effectiveness of a digital school-based cognitive behavioural resilience/wellbeing-building intervention targeting emotional and behavioural problems in vulnerable Year 4 primary school children in whole classes, to the usual school curriculum: a study protocol to the "CUES for Schools" trial.

BACKGROUND: Around 10% of school-aged children experience mental health difficulties. Many more are 'vulnerable': experiencing emotional and/or behavioural problems reaching clinical levels, and thus at greatest risk of future mental illness. The trial aim is to evaluate the effectiveness of the CUES for schools programme in reducing emotional and behavioural problems in vulnerable children. METHODS: The "CUES for Schools" study is a multicentre cluster randomised controlled trial in primary schools in south east England. Schools will be randomised to receive the usual school curriculum, or the CUES programme (1:1). We aim to enrol 74 schools (5550 children including 2220 vulnerable children). CUES is a whole-class teacher-facilitated interactive digital cognitive-behavioural intervention, delivered as 24 short (20-min) modules over 12 weeks, targeting emotional/behavioural regulation skills. Children self-report emotional/behavioural problems at baseline, 8, and 16 weeks, and wellbeing and cognitive vulnerability at 0 and 16 weeks. Adverse events are assessed at 8 and 16 weeks. Teachers rate classroom behaviour at baseline and 16 weeks. School senior leadership teams and individual teachers consent to involvement in the study; parents can opt their child out of CUES sessions, assessments, or research. Children can similarly opt out and assent to research participation. The primary objective of this trial is to evaluate the effectiveness of CUES for schools compared to the usual school curriculum in improving emotional/behavioural problems for vulnerable Year 4 (8-9 years old) children at 16 weeks post-randomisation, as measured using a standardised questionnaire designed for primary schools. The secondary objective is to investigate the impact of the CUES for schools programme on both vulnerable and non-vulnerable children on wellbeing and teacher-rated classroom behaviour. DISCUSSION: The study will show whether CUES for schools is more effective than the usual curriculum in reducing emotional and behavioural problems in vulnerable Year 4 children, and thus reducing the risk of mental health difficulties in later adolescent and adult life. As a digital, teacher-facilitated intervention, CUES for schools can be readily implemented, at minimal cost. If effective, CUES for schools therefore has the potential to reduce the impact of emotional/behavioural difficulties on children's learning, behaviour, and relationships and the burden of future mental health morbidity. TRIAL REGISTRATION: Trial Registration ISRCTN11445338. Registered on September 12, 2022.

Long-term neuropsychological outcomes in children with febrile infection-related epilepsy syndrome (FIRES) treated with anakinra.

Background: Febrile-infection related epilepsy syndrome (FIRES) is a rare epilepsy syndrome in which a previously healthy individual develops refractory status epilepticus in the setting of a preceding febrile illness. There are limited data regarding detailed long-term outcomes. This study aims to describe the long-term neuropsychological outcomes in a series of pediatric patients with FIRES. Methods: This is a retrospective multi-center case series of pediatric patients with a diagnosis of FIRES treated acutely with anakinra who had neuropsychological testing at least 12 months after status epilepticus onset. Each patient underwent comprehensive neuropsychological evaluation as part of routine clinical care. Additional data collection included the acute seizure presentation, medication exposures, and outcomes. Results: There were six patients identified with a median age of 11.08 years (IQR: 8.19-11.23) at status epilepticus onset. Anakinra initiation was a median of 11 days (IQR: 9.25-13.50) after hospital admission. All patients had ongoing seizures and none of the patients returned to baseline cognitive function with a median follow-up of 40 months (IQR 35-51). Of the five patients with serial full-scale IQ testing, three demonstrated a decline in scores over time. Testing results revealed a diffuse pattern of deficits across domains and all patients required special education and/or accommodations for academic learning. Conclusions: Despite treatment with anakinra, neuropsychological outcomes in this series of pediatric patients with FIRES demonstrated ongoing diffuse neurocognitive impairment. Future research will need to explore the predictors of long-term neurocognitive outcomes in patients with FIRES and to evaluate if acute treatment interventions improve these outcomes.

ARAX: a graph-based modular reasoning tool for translational biomedicine.

MOTIVATION: With the rapidly growing volume of knowledge and data in biomedical databases, improved methods for knowledge-graph-based computational reasoning are needed in order to answer translational questions. Previous efforts to solve such challenging computational reasoning problems have contributed tools and approaches, but progress has been hindered by the lack of an expressive analysis workflow language for translational reasoning and by the lack of a reasoning engine-supporting that language-that federates semantically integrated knowledge-bases. RESULTS: We introduce ARAX, a new reasoning system for translational biomedicine that provides a web browser user interface and an application programming interface (API). ARAX enables users to encode translational biomedical questions and to integrate knowledge across sources to answer the user's query and facilitate exploration of results. For ARAX, we developed new approaches to query planning, knowledge-gathering, reasoning and result ranking and dynamically integrate knowledge providers for answering biomedical questions. To illustrate ARAX's application and utility in specific disease contexts, we present several use-case examples. AVAILABILITY AND IMPLEMENTATION: The source code and technical documentation for building the ARAX server-side software and its built-in knowledge database are freely available online (https://github.com/RTXteam/RTX). We provide a hosted ARAX service with a web browser interface at arax.rtx.ai and a web API endpoint at arax.rtx.ai/api/arax/v1.3/ui/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Techno-economic analysis of dynamic, end-to-end optimal pharmaceutical campaign manufacturing using PharmaPy.

Increased interest in the pharmaceutical industry to transition from batch to continuouos manufacturing motivates the use of digital frameworks that allow systematic comparison of candidate process configurations. This paper evaluates the technical and economic feasibility of different end-to-end optimal process configurations, viz. batch, hybrid and continuous, for small-scale manufacturing of an active pharmaceutical ingredient. Production campaigns were analyzed for those configurations containing continuous equipment, where significant start-up effects are expected given the relatively short campaign times considered. Hybrid operating mode was found to be the most attractive process configuration at intermediate and large annual production targets, which stems from combining continuous reactors and semi-batch vaporization equipment. Continuous operation was found to be more costly, due to long stabilization times of continuous crystallization, and thermodynamic limitations of flash vaporization. Our work reveals the benefits of systematic digital evaluation of process configurations that operate under feasible conditions and compliant product quality attributes.

Early Career Training in Addiction Medicine: A Qualitative Study with Health Professions Trainees Following a Specialized Training Program in a Canadian Setting.

Background: There has been a notable deficiency in the implementation of addiction science in clinical practice and many healthcare providers feel unprepared to treat patients with substance use disorders (SUD) following training. However, the perceptions of addiction medicine training by learners in health professions have not been fully investigated. This qualitative study explored perceptions of prior training in SUD care among early-career trainees enrolled in Addiction Medicine fellowships and electives in Vancouver, Canada. Methods: From April 2015 - August 2018, we interviewed 45 early-career physicians, social workers, nurses, and 17 medical students participating in training in addiction medicine. We coded transcripts inductively using qualitative data analysis software (NVivo 11.4.3). Results: Findings revealed six key themes related to early-career training in addiction medicine: (1) Insufficient time spent on addiction education, (2) A need for more structured addictions training, (3) Insufficient hands-on clinical training and skill development, (4) Lack of patient-centeredness and empathy in the training environment, (5) Insufficient implementation of evidence-based medicine, and (6) Prevailing stigmas toward addiction medicine. Conclusion: Early clinical training in addiction medicine appears insufficient and largely focused on symptoms, rather than etiology or evidence. Early career learners in health professions perceived benefit to expanding access to quality education and reported positive learning outcomes after completing structured training programs.

RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine.

BACKGROUND: Biomedical translational science is increasingly using computational reasoning on repositories of structured knowledge (such as UMLS, SemMedDB, ChEMBL, Reactome, DrugBank, and SMPDB in order to facilitate discovery of new therapeutic targets and modalities. The NCATS Biomedical Data Translator project is working to federate autonomous reasoning agents and knowledge providers within a distributed system for answering translational questions. Within that project and the broader field, there is a need for a framework that can efficiently and reproducibly build an integrated, standards-compliant, and comprehensive biomedical knowledge graph that can be downloaded in standard serialized form or queried via a public application programming interface (API). RESULTS: To create a knowledge provider system within the Translator project, we have developed RTX-KG2, an open-source software system for building-and hosting a web API for querying-a biomedical knowledge graph that uses an Extract-Transform-Load approach to integrate 70 knowledge sources (including the aforementioned core six sources) into a knowledge graph with provenance information including (where available) citations. The semantic layer and schema for RTX-KG2 follow the standard Biolink model to maximize interoperability. RTX-KG2 is currently being used by multiple Translator reasoning agents, both in its downloadable form and via its SmartAPI-registered interface. Serializations of RTX-KG2 are available for download in both the pre-canonicalized form and in canonicalized form (in which synonyms are merged). The current canonicalized version (KG2.7.3) of RTX-KG2 contains 6.4M nodes and 39.3M edges with a hierarchy of 77 relationship types from Biolink. CONCLUSION: RTX-KG2 is the first knowledge graph that integrates UMLS, SemMedDB, ChEMBL, DrugBank, Reactome, SMPDB, and 64 additional knowledge sources within a knowledge graph that conforms to the Biolink standard for its semantic layer and schema. RTX-KG2 is publicly available for querying via its API at arax.rtx.ai/api/rtxkg2/v1.2/openapi.json . The code to build RTX-KG2 is publicly available at github:RTXteam/RTX-KG2 .

Development and validation of health system performance measures for opioid use disorder in British Columbia, Canada.

BACKGROUND: Performance measurement provides an evidence-based means to inform development of interventions to improve the quality of care for people who use opioids. We aimed to develop and assess the predictive validity of health system performance measures for opioid use disorder (OUD) in British Columbia (BC), Canada. METHODS: Performance measures were generated using retrospective population-level administrative datasets (both provincial and regional) and publicly-reported retrospective data according to four domains (care engagement, clinical guideline compliance, integration, and healthcare utilization). The adjusted odds ratio was estimated via generalized linear mixed models to determine predictive validity for all-cause hospitalization or mortality within 6 months of measurement. FINDINGS: A total of 102 performance measures were constructed. We identified 55,470 diagnosed PWOUD, and 39,456 ever engaged in opioid agonist treatment (OAT). We found divergent rates of treatment for concurrent conditions (7.4% for alcohol use disorder to 80.1% for HIV/AIDS), low levels of linkage to OAT and other outpatient care following acute care, and increasing levels of service provision, including increases in OAT prescribers and pharmacies, naloxone kit distribution and overdose prevention site visitation. Our analyses on the predictive validity measures largely supported a priori hypotheses on the direction of effect on the outcome. CONCLUSIONS: We identified a range of priorities to improve the quality of care for PWOUD, with critical gaps in linkage to care through acute care settings and long-term engagement in OAT. The proposed measures can be derived for geographic and clinical subgroups and updated over time, providing a basis to monitor and evaluate efforts to address the public health burden of OUD.

Individualized prescribing portraits to reduce inappropriate initiation of opioid analgesics to opioid naïve patients in primary care: Protocol for a randomized controlled trial.

Background Opioid analgesics are frequently initiated for chronic and acute pain despite weak evidence of benefit, although prescribing rates of some analgesics decreased in the context of the epidemic. In some populations, up to a quarter of opioid naïve persons prescribed opioids for non-cancer pain develop prescription opioid use disorder (OUD). Audit and feedback interventions rely on constructive use of routinely collected data to align professional behaviours and clinical practice with best evidence. These interventions have been shown to help reduce inappropriate initiation. However, effectiveness and acceptability of individualized "portraits" of physicians' prescribing patterns, to reduce inappropriate initiation of opioid analgesics to opioid naïve persons, have not been evaluated. Methods REDONNA is a mixed-methods randomized study testing the effectiveness of individualized prescribing Portraits to reduce inappropriate initiation of opioid analgesics. This intervention to improve safety of opioid prescribing in primary care in British Columbia (BC), Canada involves mailing individual prescribing portraits to an 'early group' of 2604 family physicians, followed in 6 months by a mailing to 2553 family physicians in the 'delayed group'. Primary outcome is number of new opioid prescriptions initiated in opioid naïve people, measured using administrative data from a centralized medication monitoring database covering all prescription opioids dispensed from BC community pharmacies. Secondary endpoints will compare prescribing impact between the two groups. A qualitative sub-study will examine feasibility among a purposive sample of physicians and patients. Discussion This trial provides important evidence on the intervention's potential to steer policy and practice on inappropriate opioid analgesics initiation. Trial registration: The study was registered prospectively on 30 March 2020 at the ISRCTN Register (https://www.isrctn.com/ISRCTN34246811).

Characteristics of Participants in the American Urological Association Quality (AQUA) Registry and Early Impact of Participation on Quality of Care.

INTRODUCTION: The American Urological Association Quality Registry (AQUA) is an approved Qualified Clinical Data Repository that was created in 2013 to serve as a platform of quality assessment and improvement. Little is known about how such specialty specific platforms are adopted and used. We describe AQUA participants and report early impact on quality metrics. METHODS: We compared characteristics of practices and urologists participating in AQUA from 2014-2017 to those of the broader urologist workforce as reported in the 2017 American Urological Association Census, and examined pass rates of 4 measures reported to the Centers for Medicare and Medicaid Services after participation in AQUA. RESULTS: Participation increased during the first 4 years and included >125 practices and 1,148 urologists (9.2% of practicing U.S. urologists). Of AQUA participants 97.6% were in private practice, 1.9% were in academic practice and the rest (0.5%) were employed by private or public hospitals, compared to 59.1%, 25.5% and 11.2%, respectively, of urologists nationally. Among AQUA participants 95.9% lived in metropolitan areas, compared to 89.9% of urologists nationally. A total of 17 quality measures were reported to the Centers for Medicare and Medicaid Services through AQUA, of which 4 were urology specific and 13 were crosscutting. The average pass rate across the 4 select urological measures was 31.1% prior to AQUA dashboard access and 48.8% after access was gained, a 56.9% improvement (17.1% absolute difference). CONCLUSIONS: Early participants in AQUA were mostly community practitioners. Participation in AQUA seemed to facilitate quality score improvements, although whether this was due to improved measurement vs clinical care is unknown at this time.

PharmaPy: An object-oriented tool for the development of hybrid pharmaceutical flowsheets.

Process design and optimization continue to provide computational challenges as the chemical engineering and process optimization communities seek to address more complex and larger scale applications. Software tools for digital design and flowsheet simulation are readily available for traditional chemical processing applications such as in commodity chemicals and hydrocarbon processing; however, tools for pharmaceutical manufacturing are much less well developed. This paper introduces, PharmaPy, a Python-based modelling platform for pharmaceutical manufacturing systems design and optimization. The versatility of the platform is demonstrated in simulation and optimization of both continuous and batch processes. The structure and features of a Python-based modeling platform, PharmaPy are presented. Illustrative examples are shown to highlight key features of the platform and framework.

Endothelin receptor antagonist improves donor lung function in an ex vivo perfusion system.

BACKGROUND: A lung transplant is the last resort treatment for many patients with advanced lung disease. The majority of donated lungs come from donors following brain death (BD). The endothelin axis is upregulated in the blood and lung of the donor after BD resulting in systemic inflammation, lung damage and poor lung graft outcomes in the recipient. Tezosentan (endothelin receptor blocker) improves the pulmonary haemodynamic profile; however, it induces adverse effects on other organs at high doses. Application of ex vivo lung perfusion (EVLP) allows the development of organ-specific hormone resuscitation, to maximise and optimise the donor pool. Therefore, we investigate whether the combination of EVLP and tezosentan administration could improve the quality of donor lungs in a clinically relevant 6-h ovine model of brain stem death (BSD). METHODS: After 6 h of BSD, lungs obtained from 12 sheep were divided into two groups, control and tezosentan-treated group, and cannulated for EVLP. The lungs were monitored for 6 h and lung perfusate and tissue samples were processed and analysed. Blood gas variables were measured in perfusate samples as well as total proteins and pro-inflammatory biomarkers, IL-6 and IL-8. Lung tissues were collected at the end of EVLP experiments for histology analysis and wet-dry weight ratio (a measure of oedema). RESULTS: Our results showed a significant improvement in gas exchange [elevated partial pressure of oxygen (P = 0.02) and reduced partial pressure of carbon dioxide (P = 0.03)] in tezosentan-treated lungs compared to controls. However, the lungs hematoxylin-eosin staining histology results showed minimum lung injuries and there was no difference between both control and tezosentan-treated lungs. Similarly, IL-6 and IL-8 levels in lung perfusate showed no difference between control and tezosentan-treated lungs throughout the EVLP. Histological and tissue analysis showed a non-significant reduction in wet/dry weight ratio in tezosentan-treated lung tissues (P = 0.09) when compared to control. CONCLUSIONS: These data indicate that administration of tezosentan could improve pulmonary gas exchange during EVLP.

Changes in drug use behaviors coinciding with the emergence of illicit fentanyl among people who use drugs in Vancouver, Canada.

Background: With the emergence of illicitly-manufactured fentanyl, drug overdose deaths have risen in unprecedented numbers. In this context, there is an urgent need to characterize potential changes in drug use behaviors among people who use drugs (PWUD). Objective: To examine changes in drug use behaviors following the emergence of illicit fentanyl among people who use drugs (PWUD). Methods: Data for this cross-sectional analysis was derived from three prospective cohorts of PWUD between December 2016 and May 2017 in Vancouver, Canada. Multivariable logistic regression was used to determine factors associated with self-reported behavior changes (binary variable "yes" or "no") following the emergence of illicit fentanyl. Results: Among 999 participants [363 (36.3%) females], 388 (38.8%) reported some behavior change. The remaining 611 (61.2%) reported no change in behavior; 240 (39.3%) of these individuals had recently been exposed to fentanyl. In multivariable analyses, factors independently associated with behavior change included recent non-fatal overdose (Adjusted Odds Ratio [AOR] = 2.28), active injection drug use (AOR = 1.96), being on opioid agonist therapy (AOR = 1.80), and urine drug screen positive for fentanyl (AOR = 1.45), (all p < .05). Conclusion: The majority of PWUD in our sample did not change their drug use behavior despite a high prevalence of fentanyl exposure, indicating a need for targeted behavior change messaging and overdose prevention efforts such as naloxone and addiction treatment for this sub-population of PWUD. Further, the high fentanyl exposure observed in our sample suggests a need to address upstream structural factors shaping the overdose risk in addition to individual behavioral change.

Prevalence and implications of gambling problems among firefighters.

Firefighting is a high-risk occupation that accounts for vulnerability to a range of mental health problems and addictive behaviours. However, no research has addressed whether this vulnerability extends to gambling problems, and the aim of this study was thus to provide new data on frequency and implications of such problems in this occupational context. The sample consisted of n = 566 career and retained firefighters who participated in a cross-sectional survey of an Australian metropolitan fire service. The Problem Gambling Severity Index (PGSI) was used to operationalise both clinically significant levels of problem gambling (PGSI ≥ 5), and 'at-risk' gambling (PGSI 1-4); alongside measures of major depression (PHQ-9), anxiety (GAD-7), Posttraumatic Stress Disorder (PCL-5) and alcohol problems (AUDIT), as well as other addictive behaviours, wellbeing and psychosocial issues. Results indicated 12.3% of firefighters that reported any gambling problems across a continuum of severity (PGSI ≥ 1), including 2.3% that were problems gamblers, and 10.0% reporting at-risk gambling. The weighted prevalence of problem gambling was comparable to other significant mental health conditions including depression and PTSD, while the rate of any gambling problems was high relative to other addictive behaviours. Gambling problems were associated with poor mental health and wellbeing, but not psychosocial indicators (e.g., financial difficulties). The findings suggest that gambling problems across a spectrum of severity may be significant yet hidden issues among emergency service workers, and thus require increased recognition and responses at the organisational level.

Is sarcopenia a better predictor of complications than body mass index? Sarcopenia and surgical outcomes in patients with rectal cancer.

AIM: Sarcopenia, or a reduction of lean muscle mass, is associated with poorer outcomes in cancer patients. Few previous studies have examined this potentially correctable risk factor in patients with locally advanced rectal cancer. METHOD: Skeletal muscle mass index was measured retrospectively on initial staging CT scans of patients undergoing chemoradiation followed by radical resection for rectal cancer for the period 2007-2013. Patients were categorized as sarcopenic or nonsarcopenic and differences in terms of demographics, pre-, peri- and postoperative outcomes were examined. RESULTS: Forty-seven patients were included; their mean age was 59.3 (36-82) years and 61.7% were men. We considered that 55.2% of men and 44.4% of women were sarcopenic; the overall prevalence of sarcopenia was 51.1%. Age, preoperative haemoglobin and albumin were significantly related to sarcopenia. Body mass index (BMI) and obesity (BMI > 30 kg/m2 ) were not associated with sarcopenia. Blood transfusions were more frequent in sarcopenic patients (P = 0.001). Although readmissions and length of stay were not increased, overall postoperative complications were significantly higher in sarcopenic patients (P = 0.03). Neither BMI nor obesity was associated with postoperative complications. CONCLUSION: Sarcopenia was present in over 50% of patients with locally advanced rectal cancer at diagnosis. It was associated with a higher incidence of both blood transfusion and postoperative complications. BMI did not correlate with these negative outcomes. Sarcopenia may be a better predictor of surgical outcomes than BMI or obesity.

International haemovigilance: what have we learned and what do we need to do next?

The International Haemovigilance Network (IHN) defines haemovigilance as 'a set of surveillance procedures covering the whole transfusion chain (from the collection of blood and its components to the follow-up of recipients), intended to collect and assess information on unexpected or undesirable effects resulting from the therapeutic use of labile blood products, and to prevent their occurrence or recurrence'. IHN, the International Society of Blood Transfusion and World Health Organization work together to support both developing and established haemovigilance systems. Haemovigilance systems provide valuable data on a range of adverse events related to blood donation and clinical transfusion, from donor syncopal events to transfusion-transmitted infections, immunological complications and the impact of human errors. Harmonised definitions for most adverse reactions have been developed and validated internationally. Definitions of pulmonary complications are again under review. Haemovigilance data have resulted in changes in policy, products and practice, and can complement and inform clinical audit and research, leading to improved blood donor safety, optimised product use and better clinical outcomes after transfusion. However, more work is needed. Not all countries have haemovigilance systems in place. More robust data and careful analysis are required to improve the understanding of the causes, occurrence and clinical outcomes of these events. Wider dissemination of results will facilitate health policy development internationally, and implementation of haemovigilance recommendations will support further important progress in blood safety.

Approaches to understanding and interpreting the risks of red blood cell transfusion in neonates.

In this review, we explore how to assess potential harm related to neonatal transfusion practice. We consider different sources of information, including passive or active surveillance systems such as registries, observational studies, randomised trials and systematic reviews. Future research directions are discussed.

A time-driven, activity-based costing methodology for determining the costs of red blood cell transfusion in patients with beta thalassaemia major.

OBJECTIVES: To describe the methodology to estimate the total cost of administration of a single unit of red blood cells (RBC) in adults with beta thalassaemia major in an Australian specialist haemoglobinopathy centre. BACKGROUND: Beta thalassaemia major is a genetic disorder of haemoglobin associated with multiple end-organ complications and typically requiring lifelong RBC transfusion therapy. New therapeutic agents are becoming available based on advances in understanding of the disorder and its consequences. Assessment of the true total cost of transfusion, incorporating both product and activity costs, is required in order to evaluate the benefits and costs of these new therapies. METHODS: We describe the bottom-up, time-driven, activity-based costing methodology used to develop process maps to provide a step-by-step outline of the entire transfusion pathway. Detailed flowcharts for each process are described. Direct observations and timing of the process maps document all activities, resources, staff, equipment and consumables in detail. The analysis will include costs associated with performing these processes, including resources and consumables. Sensitivity analyses will be performed to determine the impact of different staffing levels, timings and probabilities associated with performing different tasks. RESULTS: Thirty-one process maps have been developed, with over 600 individual activities requiring multiple timings. These will be used for future detailed cost analyses. CONCLUSIONS: Detailed process maps using bottom-up, time-driven, activity-based costing for determining the cost of RBC transfusion in thalassaemia major have been developed. These could be adapted for wider use to understand and compare the costs and complexities of transfusion in other settings.