Collective mitochondrial dynamics resolve conflicting cellular tensions: From plants to general principles.

Mitochondria play diverse and essential roles in eukaryotic cells, and plants are no exception. Plant mitochondria have several differences from their metazoan and fungal cousins: they often exist in a fragmented state, move rapidly on actin rather than microtubules, have many plant-specific metabolic features and roles, and usually contain only a subset of the complete mtDNA genome, which itself undergoes frequent recombination. This arrangement means that exchange and complementation is essential for plant mitochondria, and recent work has begun to reveal how their collective dynamics and resultant "social networks" of encounters support this exchange, connecting plant mitochondria in time rather than in space. This review will argue that this social network perspective can be extended to a "societal network", where mitochondrial dynamics are an essential part of the interacting cellular society of organelles and biomolecules. Evidence is emerging that mitochondrial dynamics allow optimal resolutions to competing cellular priorities; we will survey this evidence and review potential future research directions, highlighting that plant mitochondria can help reveal and test principles that apply across other kingdoms of life. In parallel with this fundamental cell biology, we also highlight the translational "One Health" importance of plant mitochondrial behaviour - which is exploited in the production of a vast amount of crops consumed worldwide - and the potential for multi-objective optimisation to understand and rationally re-engineer the evolved resolutions to these tensions.

Phylo2Vec: a vector representation for binary trees.

Binary phylogenetic trees inferred from biological data are central to understanding the shared history among evolutionary units. However, inferring the placement of latent nodes in a tree is computationally expensive. State-of-the-art methods rely on carefully designed heuristics for tree search, using different data structures for easy manipulation (e.g., classes in object-oriented programming languages) and readable representation of trees (e.g., Newick-format strings). Here, we present Phylo2Vec, a parsimonious encoding for phylogenetic trees that serves as a unified approach for both manipulating and representing phylogenetic trees. Phylo2Vec maps any binary tree with n leaves to a unique integer vector of length n - 1. The advantages of Phylo2Vec are fourfold: i) fast tree sampling, (ii) compressed tree representation compared to a Newick string, iii) quick and unambiguous verification if two binary trees are identical topologically, and iv) systematic ability to traverse tree space in very large or small jumps. As a proof of concept, we use Phylo2Vec for maximum likelihood inference on five real-world datasets and show that a simple hill-climbing-based optimisation scheme can efficiently traverse the vastness of tree space from a random to an optimal tree.

Harnessing a Biocatalyst to Bioremediate the Purification of Alkylglycosides.

As the world moves towards net-zero carbon emissions, the development of sustainable chemical manufacturing processes is essential. Within manufacturing, purification by distillation is often used, however this process is energy intensive and methods that could obviate or reduce its use are desirable. Developed herein is an alternative, oxidative biocatalytic approach that enables purification of alkyl monoglucosides (essential bio-based surfactant components). Implementing an immobilised engineered alcohol oxidase, a long-chain alcohol by-product derived from alkyl monoglucoside synthesis (normally removed by distillation) is selectively oxidised to an aldehyde, conjugated to an amine resin and then removed by simple filtration. This affords recovery of the purified alkyl monoglucoside. The approach lays a blueprint for further development of sustainable alkylglycoside purification using biocatalysis and, importantly, for refining other important chemical feedstocks that currently rely on distillation.

Bioflocculation of pollutants in wastewater using flocculant derived from Providencia huaxiensis OR794369.1.

BACKGROUND: Water pollution has become a major environmental and health concern due to increasing population and industrialisation. Microbial flocculants are promising agents for treatment of contaminated water owing to their effectiveness, eco-friendliness, and high biosafety levels. In this study, culture conditions of Providencia huaxiensis OR794369.1 were optimised and its bioflocculant was extracted, characterised and used to treat wastewater. RESULTS: The maximum flocculating activity of 92% and yield of 3.5 g/L were obtained when cultivation conditions were: 3% inoculum size, starch, casein, initial pH of 6, cultivation temperature of 30 oC and 72 h of fermentation. The bioflocculant is an amorphous glycoprotein biomolecule with 37.5% carbohydrates, 27.9% protein, and 34.6% uronic acids. It is composed of hydroxyl, amino, alkanes, carboxylic acid and amines groups as its main functional structures. It was found to be safe to use as it demonstrated non-cytotoxic effects on bovine dermis and African green monkey kidney cells, illustrating median inhibitory concentration (IC50) values of 180 and > 500 µg/mL on both cell lines, respectively. It demonstrated the removal efficiencies of 90% on chemical oxygen demand (COD), 97% on biological oxygen demand (BOD) and 72% on Sulphur on coal mine wastewater. It also revealed the reduction efficacies of 98% (COD) and 92% (BOD) and 70% on Sulphur on domestic wastewater. CONCLUSION: The bioflocculant was effective in reducing pollutants and thus, illustrated potential to be used in wastewater treatment process as an alternative.

A comparison of fixation and immunofluorescence protocols for successful reproducibility and improved signal in human left ventricle cardiac tissue.

Immunohistochemistry (IHC) and immunofluorescence (IF) are crucial techniques for studying cardiac physiology and disease. The accuracy of these techniques is dependent on various aspects of sample preparation and processing. However, standardised protocols for sample preparation of tissues, particularly for fresh-frozen human left ventricle (LV) tissue, have yet to be established and could potentially lead to differences in staining and interpretation. Thus, this study aimed to optimise the reproducibility and quality of IF staining in fresh-frozen human LV tissue by systematically investigating crucial aspects of the sample preparation process. To achieve this, we subjected fresh-frozen human LV tissue to different fixation protocols, primary antibody incubation temperatures, antibody penetration reagents, and fluorescent probes. We found that neutral buffered formalin fixation reduced image artefacts and improved antibody specificity compared to both methanol and acetone fixation. Additionally, incubating primary antibodies at 37°C for 3 h improved fluorescence intensity compared to the commonly practised 4°C overnight incubation. Furthermore, we found that DeepLabel, an antibody penetration reagent, and smaller probes, such as fragmented antibodies and Affimers, improved the visualisation depth of cardiac structures. DeepLabel also improved antibody penetration in CUBIC cleared thick LV tissue fragments. Thus, our data underscores the importance of standardised protocols in IF staining and provides various means of improving staining quality. In addition to contributing to cardiac research by providing methodologies for IF, the findings and processes presented herein also establish a framework by which staining of other tissues may be optimised.

National Diagnostic Reference Levels for Standard Descending Thoracic Endovascular Aortic Repair and Optimisation Strategies.

OBJECTIVE: The International Commission on Radiological Protection has highlighted the large number of medical specialties that use fluoroscopy outside diagnostic imaging departments without radiation protection programmes for patients and staff. Vascular surgery is one of these specialties. Thoracic endovascular aortic repair (TEVAR) is a complicated procedure requiring radiation protection guidance and optimisation. The recent EU Basic Safety Standards Directive requires the use and periodic updating of diagnostic reference levels (DRLs) for interventional procedures. The aim of this study was to determine doses for patients undergoing TEVAR with mobile Xray systems and hybrid rooms (fixed Xray systems) to obtain national DRLs and to suggest optimisation actions. METHODS: This was a retrospective cross sectional study. The Spanish Chapter of Endovascular Surgery conducted a national survey in 11 autonomous communities representing around 77.6% of the Spanish population (47.33 million inhabitants). A total of 266 TEVAR procedures from 17 Spanish centres were analysed, of which 53.0% were performed in hybrid operating rooms. National DRLs were obtained and defined as the third quartile of the median values from the different participating centres. RESULTS: The proposed national DRLs are: for kerma area product (KAP), 113.81 Gy·cm2 for mobile Xray systems and 282.59 Gy·cm2 for hybrid rooms; and for cumulative air kerma (CAK) at the patient entry reference point, 228.38 mGy for mobile systems and 910.64 mGy for hybrid rooms. CONCLUSION: Based on the requirement to know radiation doses for standard endovascular procedures, this study of TEVARs demonstrated that there is an increased factor of 2.48 in DRLs for KAP when the procedure is performed in a hybrid room compared with mobile C-arm systems, and an increased factor of 3.98 in DRLs for CAK when the procedure is performed with hybrid equipment. These results will help to optimise strategies to reduce radiation doses during TEVAR procedures.

Optimisation of electrochemical sensors based on molecularly imprinted polymers: from OFAT to machine learning.

Molecularly imprinted polymers (MIPs) rely on synthetic engineered materials able to selectively bind and intimately recognise a target molecule through its size and functionalities. The way in which MIPs interact with their targets, and the magnitude of this interaction, is closely linked to the chemical properties derived during the polymerisation stages, which tailor them to their specific target. Hence, MIPs are in-deep studied in terms of their sensitivity and cross-reactivity, further being used for monitoring purposes of analytes in complex analytical samples. As MIPs are involved in sensor development within different approaches, a systematic optimisation and rational data-driven sensing is fundamental to obtaining a best-performant MIP sensor. In addition, the closer integration of MIPs in sensor development requires that the inner properties of the materials in terms of sensitivity and selectivity are maintained in the presence of competitive molecules, which focus is currently opened. Identifying computational models capable of predicting and reporting the best-performant configuration of electrochemical sensors based on MIPs is of immense importance. The application of chemometrics using design of experiments (DoE) is nowadays increasingly adopted during optimisation problems, which largely reduce the number of experimental trials. These approaches, together with the emergent machine learning (ML) tool in sensor data processing, represent the future trend in design and management of point-of-care configurations based on MIP sensing. This review provides an overview on the recent application of chemometrics tools in optimisation problems during development and analytical assessment of electrochemical sensors based on MIP receptors. A comprehensive discussion is first presented to cover the recent advancements on response surface methodologies (RSM) in optimisation studies of MIPs design. Therefore, the recent advent of machine learning in sensor data processing will be focused on MIPs development and analytical detection in sensors.

'I think we could probably do more': an interview study to explore community pharmacists' experiences and perspectives of frailty and optimising medicines use in frail older adults.

BACKGROUND: Community pharmacists potentially have an important role to play in identification of frailty and delivery of interventions to optimise medicines use for frail older adults. However, little is known about their knowledge or views about this role. AIM: To explore community pharmacists' knowledge of frailty and assessment, experiences and contact with frail older adults, and perceptions of their role in optimising medicines use for this population. METHODS: Semi-structured interviews conducted between March and December 2020 with 15 community pharmacists in Northern Ireland. Interviews were transcribed verbatim and analysed thematically. RESULTS: Three broad themes were generated from the data. The first, 'awareness and understanding of frailty', highlighted gaps in community pharmacists' knowledge regarding presentation and identification of frailty and their reluctance to broach potentially challenging conversations with frail older patients. Within the second theme, 'problem-solving and supporting medication use', community pharmacists felt a large part of their role was to resolve medicines-related issues for frail older adults through collaboration with other primary healthcare professionals but feedback on the outcome was often not provided upon issue resolution. The third theme, 'seizing opportunities in primary care to enhance pharmaceutical care provision for frail older adults', identified areas for further development of the community pharmacist role. CONCLUSIONS: This study has provided an understanding of the views and experiences of community pharmacists about frailty. Community pharmacists' knowledge deficits about frailty must be addressed and their communication skills enhanced so they may confidently initiate conversations about frailty and medicines use with older adults.

Prescribing and deprescribing in older people with life-limiting illnesses receiving hospice care at the end of life: A longitudinal, retrospective cohort study.

BACKGROUND: Although prescribing and deprescribing practices in older people have been the subject of much research generally, there are limited data in older people at the end of life. This highlights the need for research to determine prescribing and deprescribing patterns, as a first step to facilitate guideline development for medicines optimisation in this vulnerable population. AIMS: To examine prescribing and deprescribing patterns in older people at the end of life and to determine the prevalence of potentially inappropriate medication use. DESIGN: A longitudinal, retrospective cohort study where medical records of eligible participants were reviewed, and data extracted. Medication appropriateness was assessed using two sets of consensus-based criteria; the STOPPFrail criteria and criteria developed by Morin et al. SETTING/PARTICIPANTS: Decedents aged 65 years and older admitted continuously for at least 14 days before death to three inpatient hospice units across Northern Ireland, who died between 1st January and 31st December 2018, and who had a known diagnosis, known cause of death and prescription data. Unexpected/sudden deaths were excluded. RESULTS: Polypharmacy was reported to be continued until death in 96.2% of 106 decedents (mean age of 75.6 years). Most patients received at least one potentially inappropriate medication at the end of life according to the STOPPFrail and the criteria developed by Morin et al. (57.5 and 69.8% respectively). Limited prevalence of proactive deprescribing interventions was observed. CONCLUSIONS: In the absence of systematic rationalisation of drug treatments, a substantial proportion of older patients continued to receive potentially inappropriate medication until death.

Three methods to optimise polymyxin B dosing using estimated AUC after first dose: validation with the data generated by Monte Carlo simulation.

To achieve the AUC-guided dosing, we proposed three methods to estimate polymyxin B AUC across 24 h at steady state (AUCSS,24h) using limited concentrations after its first dose.Monte Carlo simulation based on a well-established population PK model was performed to generate the PK profiles of 1000 patients with normal or abnormal renal function. Polymyxin B AUCSS,24h was estimated for each subject using three methods (two-point PK approach, three-point PK approach, and four-point PK approach) based on limited concentration data in its first dose and compared with the actual AUC at steady state calculated using the linear-trapezoidal formula.In patients with normal renal function, the mean bias of two-point PK approach, three-point PK approach, and four-point PK approach was -8.73%, 1.37%, and -0.48%, respectively. The corresponding value was -11.15%, 1.99%, and -0.28% in patients with renal impairment, respectively. The largest mean bias of two-point PK approach, three-point PK approach, and four-point PK approach was -12.63%, -6.47%, and -0.54% when the sampling time shifted.The Excel calculators designed based on the three methods can be potentially used to optimise the dosing regimen of polymyxin B in the clinic.

Reducing the carbon footprint of diets across socio-demographic groups in Finland: a mathematical optimisation study.

OBJECTIVES: To characterise nutritionally adequate, climate-friendly diets that are culturally acceptable across socio-demographic groups. To identify potential equity issues linked to more climate-friendly and nutritionally adequate dietary changes. DESIGN: An optimisation model minimises distance from observed diets subject to nutritional, greenhouse gas emissions (GHGE) and food-habit constraints. It is calibrated to socio-demographic groups differentiated by sex, education and income levels using dietary intake data. The environmental coefficients are derived from life cycle analysis and an environmentally extended input-output model. SETTING: Finland. PARTICIPANTS: Adult population. RESULTS: Across all population groups, we find large synergies between improvements in nutritional adequacy and reductions in GHGE, set at one-third or half of the current level. Those reductions result mainly from the substitution of meat with cereals, potatoes and roots and the intra-category substitution of foods, such as beef with poultry in the meat category. The simulated more climate-friendly diets are thus flexitarian. Moving towards reduced-impact diets would not create major inadequacies related to protein and fatty acid intakes, but Fe could be an issue for pre-menopausal females. The initial socio-economic gradient in the GHGE of diets is small, and the patterns of adjustments to more climate-friendly diets are similar across socio-demographic groups. CONCLUSIONS: A one-third reduction in GHGE of diets is achievable through moderate behavioural adjustments, but achieving larger reductions may be difficult. The required changes are similar across socio-demographic groups and do not raise equity issues. A population-wide policy to promote behavioural change for diet sustainability would be appropriate.

Evaluation of a long day care intervention targeting the mealtime environment and curriculum to increase children's vegetable intake: a cluster randomised controlled trial using the multiphase optimisation strategy framework.

OBJECTIVE: To determine the reach, adoption, implementation and effectiveness of an intervention to increase children's vegetable intake in long day care (LDC). DESIGN: A 12-week pragmatic cluster randomised controlled trial, informed by the multiphase optimisation strategy (MOST), targeting the mealtime environment and curriculum. Children's vegetable intake and variety was measured at follow-up using a modified Short Food Survey for early childhood education and care and analysed using a two-part mixed model for non-vegetable and vegetable consumers. Outcome measures were based on the RE-AIM framework. SETTING: Australian LDC centres. PARTICIPANTS: Thirty-nine centres, 120 educators and 719 children at follow-up. RESULTS: There was no difference between intervention and waitlist control groups in the likelihood of consuming any vegetables when compared with non-vegetable consumers for intake (OR = 0·70, (95 % CI 0·34-1·43), P = 0·32) or variety (OR = 0·73 (95 % CI 0·40-1·32), P = 0·29). Among vegetable consumers (n 652), there was no difference between groups in vegetable variety (exp(b): 1·07 (95 % CI:0·88-1·32, P = 0·49) or vegetable intake (exp(b): 1·06 (95 % CI: 0·78, 1·43)), P = 0·71) with an average of 1·51 (95 % CI 1·20-1·82) and 1·40 (95 % CI 1·08-1·72) serves of vegetables per day in the intervention and control group, respectively. Intervention educators reported higher skills for promoting vegetables at mealtimes, and knowledge and skills for teaching the curriculum, than control (all P < 0·001). Intervention fidelity was moderate (n 16/20 and n 15/16 centres used the Mealtime environment and Curriculum, respectively) with good acceptability among educators. The intervention reached 307/8556 centres nationally and was adopted by 22 % eligible centres. CONCLUSIONS: The pragmatic self-delivered online intervention positively impacted educator's knowledge and skills and was considered acceptable and feasible. Intervention adaptations, using the MOST cyclic approach, could improve intervention impact on children' vegetable intake.

Medicines and other factors causing deaths in English and welsh care homes: five-years of preventing future death reports by coroners.

BACKGROUND: Whilst information has been published on the impact, severity and causes of incidents involving medicines in care homes, it has not been systematically described. This review explored whether coroners' Preventing Future Death (PFD) reports involving medicines for people living in care homes could add to this evidence base. METHODS: PFD reports made publicly available between 2017 and 2021 classified as 'care home-related deaths' were reviewed. Reports describing medicines and/or medicines processes were identified. Contributory factors within these reports were then identified. RESULTS: Within the timeframe, 156 reports were published, and 25 described medicines (n = 27) or medicines processes (n = 5) concerning people living in care homes. The impact of medicines and/or medicines processes was quantified as no impact (n = 7), contributory (n = 6) and direct (n = 14) per report. Two key themes emerged. Four deaths had an association between their falls risk, prescribed anticoagulants, and the failure of the service to seek timely emergency care following a fall and two deaths concerned endocrine medicines, where people refused insulin or blood sugar monitoring and staff did not seek timely advice. CONCLUSION: This study demonstrated PFD reports provide an insight into the potential association between medicines, and other aspects of the person's care in causing harm.

Pharmacist-led intervention for older people with atrial fibrillation in long-term care (PIVOTALL study): a randomised pilot and feasibility study.

BACKGROUND: Older care home residents are a vulnerable group of people with atrial fibrillation (AF) at high risk of adverse health events. The Atrial Fibrillation Better Care (ABC: Avoid stroke; Better symptom management; Cardiovascular and other comorbidity management) pathway is the gold-standard approach toward integrated AF care, and pharmacists are a potential resource with regards to its' implementation. The aim of this study was to determine the feasibility of pharmacist-led medicines optimisation in care home residents, based on the ABC pathway compared to usual care. METHODS: Individually randomised, prospective pilot and feasibility study of older (aged ≥ 65 years) care home residents with AF (ISRCTN14747952); residents randomised to ABC pathway optimised care versus usual care. The primary outcome was a description of study feasibility (resident and care home recruitment and retention). Secondary outcomes included the number and type of pharmacist medication recommendations and general practitioner (GP) implementation. RESULTS: Twenty-one residents were recruited and 11 (mean age [standard deviation] 85.0 [6.5] years, 63.6% female) were randomised to receive pharmacist-led medicines optimisation. Only 3/11 residents were adherent to all three components of the ABC pathway. Adherence was higher to 'A' (9/11 residents) and 'B' (9/11 residents) components compared to 'C' (3/11 residents). Four ABC-specific medicines recommendations were made for three residents, and two were implemented by residents' GPs. Overall ABC adherence rates did not change after pharmacist medication review, but adherence to 'A' increased (from 9/11 to 10/11 residents). Other ABC recommendations were inappropriate given residents' co-morbidities and risk of medication-related adverse effects. CONCLUSIONS: The ABC pathway as a framework was feasible to implement for pharmacist medication review, but most residents' medications were already optimised. Low rates of adherence to guideline-recommended therapy were a result of active decisions not to treat after assessment of the net risk-benefit.

A quantitative study on the impact of a community falls pharmacist role, on medicines optimisation in older people at risk of falls.

BACKGROUND: The World Falls guidance includes medication review as part of its recommended multifactorial risk assessment for those at high risk of falling. Use of Falls Risk Increasing Drugs (FRIDs) along with polypharmacy and anticholinergic burden (ACB) are known to increase the risk of falls in older people. METHOD: The impact of a community falls pharmacist within a hospital Trust, working as part of a multi-professional community falls prevention service, was evaluated in 92 people aged 65 years or older, by analysing data before and after pharmacist review, namely: number and type of FRIDs prescribed; anticholinergic burden score using ACBcalc®; appropriateness of medicines prescribed; bone health review using an approved too; significance of clinical intervention; cost avoidance, drug cost savings and environmental impact. RESULTS: Following pharmacist review, there was a reduction in polypharmacy (mean number of medicines prescribed per patient reduced by 8%; p < 0.05) and anticholinergic burden score (average score per patient reduced by 33%; p < 0.05). Medicines appropriateness improved (Medicines Appropriateness Index score decreased by 56%; p < 0.05). There were 317 clinically significant interventions by the community falls pharmacist. One hundred and one FRIDs were deprescribed. Annual cost avoidance and drug cost savings were £40,689-£82,642 and avoidable carbon dioxide (CO2) emissions from reducing inappropriate prescribing amounted to 941 kg CO2. CONCLUSION: The community falls pharmacist role increases prescribing appropriateness in the older population at risk of falls, and is an effective and cost-efficient means to optimise medicines in this population, as well as having a positive impact on the environment.

The Leicester, Leicestershire and Rutland quality improvement project and integrated chronic kidney disease system: implementation within a primary care network.

BACKGROUND: The optimisation of patients in primary care is a prime opportunity to manage patient care within the community and reduce the burden of referrals on secondary care. This paper presents a quality improvement clinical programme taking place within an NHS Primary Care Network as part of the wider Leicester Leicestershire Rutland integrated chronic kidney disease programme. METHOD: Patients are optimised to guidelines from the National Institute for Health and Care Excellence, by a primary care clinical team who are supported by nephrology consultants and nephrology pharmacists. Multidisciplinary team meetings take place with secondary care specialists and primary care staff. Learning is passed to the community clinicians for better patient treatment locally. RESULTS: A total of 526 patients were reviewed under this project.The total number of referrals to secondary care which were discharged following first outpatient appointment, reduced from 42.9% to 10%. This reduction of 32.9% represents the optimisation of patient cases through this quality improvement project. Patients can be optimised and managed within the community, reducing the number of unnecessary referrals to secondary care. CONCLUSION: This programme has the potential to offer significant improvement in patient outcomes when expanded to a larger patient base. Medicine management and the use of clinical staff are optimised in both primary and secondary care.

Non-mutagenic impurities - Recent industry experience of using dose durational limits in drug development.

Absence of clear guidance on the qualification threshold for non-mutagenic impurities during clinical development is a source of inconsistency in both sponsor qualification approaches and health authority requests. A survey was conducted in March 2020 with 6 member companies of the European Federation of Pharmaceutical Industries and Associations (EFPIA). Thirteen examples were gathered of where non-International Council for Harmonisation (ICH) limits have been used in regulatory submissions for various indications and stages of development, together with the regulatory outcomes. As expected, few challenges were faced in early clinical development, with health authorities generally commenting that sponsors should work towards ICH Q3A and Q3B guideline specification limits as development progresses. However, inconsistent health authority requests were noted even for early phase clinical trials in late-stage oncology patients. For an optimised use of resources, consistent approaches would have the benefit of supporting faster access of safe medicines to patients while including Replacement, Reduction and Refinement (the 3Rs) considerations with respect to animal testing.

Improving medication dispensing and counselling for patients with vision impairment: a qualitative study of pharmacist-reported barriers and facilitators.

BACKGROUND: People with vision impairment encounter many difficulties when it comes to medicines use. However, evidence indicates that there are major gaps in pharmaceutical care service provision worldwide and limited research on interventions to optimise medication use for this patient population. The Theoretical Domains Framework (TDF) provides a method for theoretically understanding individuals' behaviour and informing development of interventions. The aim of this research was to (a) identify the barriers and facilitators to the provision of medication dispensing and counselling services by pharmacists to patients with vision impairment, and (b) identify key TDF domains to be targeted in a future intervention. METHODS: Semi-structured interviews were conducted with pharmacists from different pharmacy practice settings/areas in Saudi Arabia. The 14-domain TDF was utilised as the theoretical lens through which pharmacists' behaviours were examined. Interviews were conducted in Arabic or English, either face-to-face or over the telephone based on the participant's preference. Following transcription, interviews conducted in Arabic were translated into English before analysis. Data analysis involved using the framework method and content analysis to identify important barriers and facilitators to the provision of dispensing and counselling services to those with vision impairment. Key TDF domains that could be targeted in a future intervention were then identified using a consensus-based approach. RESULTS: Twenty-six pharmacists were interviewed. Pharmacists' experience in pharmacy practice ranged from two to 28 years. A range of barriers and facilitators were highlighted as important in providing services to those with vision impairment. Eight domains were identified as 'key domains' including: 'Knowledge', 'Skills', 'Beliefs about capabilities', 'Goals', 'Memory, attention, and decision processes', 'Environmental context and resources', 'Social influences', and 'Behavioural regulation'. CONCLUSIONS: Barriers and facilitators identified by pharmacists will inform the development of an intervention to ensure its applicability to everyday practice. Future research will focus on the process of developing the proposed intervention through targeting key TDF domains to improve medication dispensing and counselling by pharmacists to patients with vision impairment.

Evaluating Artificial Intelligence in Clinical Settings-Let Us Not Reinvent the Wheel.

Given the requirement to minimize the risks and maximize the benefits of technology applications in health care provision, there is an urgent need to incorporate theory-informed health IT (HIT) evaluation frameworks into existing and emerging guidelines for the evaluation of artificial intelligence (AI). Such frameworks can help developers, implementers, and strategic decision makers to build on experience and the existing empirical evidence base. We provide a pragmatic conceptual overview of selected concrete examples of how existing theory-informed HIT evaluation frameworks may be used to inform the safe development and implementation of AI in health care settings. The list is not exhaustive and is intended to illustrate applications in line with various stakeholder requirements. Existing HIT evaluation frameworks can help to inform AI-based development and implementation by supporting developers and strategic decision makers in considering relevant technology, user, and organizational dimensions. This can facilitate the design of technologies, their implementation in user and organizational settings, and the sustainability and scalability of technologies.

Estimating and planning hospital costs of public hospitals in Brazil.

While the estimate of hospital costs concerns the past, its planning focuses on the future. However, in many low and middle-income countries, public hospitals do not have robust accounting health systems to evaluate and project their expenses. In Brazil, public hospitals are funded based on government estimates of available hospital infrastructure, historical expenditures and population needs. However, these pieces of information are not always readily available for all hospitals. To solve this challenge, we propose a flexible simulation-based optimisation algorithm that integrates this dual task: estimating and planning hospital costs. The method was applied to a network of 17 public hospitals in Brazil to produce the estimates. Setting the model parameters for population needs and future hospital infrastructure can be used as a cost-projection tool for divestment, maintenance, or investment. Results show that the method can aid health managers in hospitals' global budgeting and policymakers in improving fairness in hospitals' financing.