Cryptosporidium spp. are protozoan parasites that cause severe illness in vulnerable human populations. Obtaining pure Cryptosporidium DNA from clinical and environmental samples is challenging because the oocysts shed in contaminated feces are limited in quantity, difficult to purify efficiently, may derive from multiple species, and yield limited DNA (<40 fg/oocyst). Here, we develop and validate a set of 100,000 RNA baits (CryptoCap_100k) based on six human-infecting Cryptosporidium spp. (C. cuniculus, C. hominis, C. meleagridis, C. parvum, C. tyzzeri, and C. viatorum) to enrich Cryptosporidium spp. DNA from a wide array of samples. We demonstrate that CryptoCap_100k increases the percentage of reads mapping to target Cryptosporidium references in a wide variety of scenarios, increasing the depth and breadth of genome coverage, facilitating increased accuracy of detecting and analyzing species within a given sample, while simultaneously decreasing costs, thereby opening new opportunities to understand the complex biology of these important pathogens.

BackgroundExposure to green space can protect against poor health through a variety of mechanisms. However, there is heterogeneity in methodological approaches to exposure assessments which makes creating effective policy recommendations challenging.ObjectiveCritically evaluate the use of a satellite-derived exposure metric, the Enhanced Vegetation Index (EVI), for assessing access to different types of green space in epidemiological studies.MethodsWe used Landsat 5–8 (30 m resolution) to calculate average EVI for a 300 m radius surrounding 1.4 million households in Wales, UK for 2018. We calculated two additional measures using topographic vector data to represent access to green spaces within 300 m of household locations. The two topographic vector-based measures were total green space area stratified by type and average private garden size. We used linear regression models to test whether EVI could discriminate between publicly accessible and private green space and Pearson correlation to test associations between EVI and green space types.ResultsMean EVI for a 300 m radius surrounding households in Wales was 0.28 (IQR = 0.12). Total green space area and average private garden size were significantly positively associated with corresponding EVI measures (β = < 0.0001, 95% CI: 0.0000, 0.0000; β = 0.0001, 95% CI: 0.0001, 0.0001 respectively). In urban areas, as average garden size increases by 1 m2, EVI increases by 0.0002. Therefore, in urban areas, to see a 0.1 unit increase in EVI index score, garden size would need to increase by 500 m2. The very small β values represent no ‘measurable real-world’ associations. When stratified by type, we observed no strong associations between greenspace and EVI.ImpactIt is a widely implemented assumption in epidiological studies that an increase in EVI is equivalent to an increase in greenness and/or green space.We used linear regression models to test associations between EVI and potential sources of green reflectance at a neighbourhood level using satellite imagery from 2018.We compared EVI measures with a ‘gold standard’ vector-based dataset that defines publicly accessible and private green spaces.We found that EVI should be interpreted with care as a greater EVI score does not necessarily mean greater access to publicly available green spaces in the hyperlocal environment.

The term 'care-experienced' refers to anyone who is currently in care or has been in care at any stage in their life. A complex interplay of factors leads to care-experienced children and young people (CECYP) experiencing poorer oral health and access to dental care than their peers. A rapid review of the co-production of health and social care research with vulnerable children and young people (CYP) was carried out to inform the development of a co-produced research project exploring the oral health behaviours and access to dental services of CECYP. Here, 'co-production' refers to the involvement of CYP in the planning or conduct of research with explicit roles in which they generate ideas, evidence and research outputs. To learn how to meaningfully involve vulnerable CYP in the co-production of health and social science research. To identify: Different approaches to facilitating the engagement of vulnerable CYP in co-production of health and social science research; different activities carried out in such approaches, challenges to engaging vulnerable CYP in co-production of health and social science research and ways to overcome them and areas of best practice in relation to research co-production with vulnerable CYP. A rapid review of peer-reviewed articles was conducted in six databases (MEDLINE, Embase, SocINDEX, CINAHL, PsycINFO and Web of Science) and grey literature to identify studies that engaged vulnerable CYP in co-approaches to health and social research. Of 1394 documents identified in the search, 40 were included and analysed. A number of different approaches to co-production were used in the studies. The CYP was involved in a range of activities, chiefly the development of data collection tools, data collection and dissemination. Individual challenges for CYP and researchers, practical and institutional factors and ethical considerations impacted the success of co-production. Co-production of health and social science with vulnerable CYP presents challenges to researchers and CYP calling for all to demonstrate reflexivity and awareness of biases, strengths and limitations. Used appropriately and well, co-production offers benefits to researchers and CYP and can contribute to research that reflects the needs of vulnerable CYP. Adherence to the key principles of inclusion, safeguarding, respect and well-being facilitates this approach. Members of our patient and public involvement and stakeholder groups contributed to the interpretation of the review findings. This manuscript was written together with a young care leaver, Skye Boswell, who is one of the authors. She contributed to the preparation of the manuscript, reviewing the findings and their interpretation.

Abstract Background: Evaluation approaches such as ripple effects mapping (REM) and realist evaluation have emerged as popular methodologies to evidence impact, and the processes of change within public health as part of whole systems approaches. Despite the various examples of their implementation across different evaluation settings, there has been little or no evidence of how they might be effective when combined. Methods: With REM’s potential to pragmatically illustrate impact, and realist evaluation’s strength to identify how and why impacts emerge, this paper develops a rationale and process for their amalgamation. Following this, we outline a realist-informed ripple effects mapping (RREM) protocol that may be suitable for application within evaluation settings in a range of public health, whole system and physical activity settings. Discussion: Combining these two approaches has the potential to more effectively illuminate the impacts that we see within public health and whole system approaches and initiatives. What is more, given the complexity often imbued within these approaches and initiatives they hold capability for also capturing the causal mechanisms that explain these impacts. Conclusions: It is our conclusion that when combined, this novel approach may help to inspire future research as well as more effective evaluation of public health and whole system approaches. This is crucial if we are to foster a culture for learning, refinement and reflection.

Abstract Background The COVID-19 pandemic presented policymakers with time-sensitive decision problems and a rapidly increasing volume of research, not all of which was robust, or relevant to local contexts. A bespoke evidence review process supporting stakeholder engagement was developed as part of the Wales COVID-19 Evidence Centre (WCEC), which could flexibly react to the needs of decision-makers, to address urgent requests within days or months as required.Aims To describe and appraise the WCEC review process and methods and identify key learning points.Methods Three types of rapid review products were used, which could accommodate the breadth of decision problems and topics covered. Stakeholder (including public) engagement was integrated from the onset and supported throughout. The methods used were tailored depending on the needs of the decision-maker, type of research question, timeframe, and volume and type of evidence. We appraised the overall process and compared the methods used with the most recent and relevant best practice guidance.Results The remote collaboration between research teams, establishing a clear pathway to impact upfront, and the strong stakeholder involvement embedded in the review process were considered particular strengths. Several key learning points were identified, which focused on: enhancing stakeholders’ abilities to identify focused policy-relevant research questions; the collection and storage of review protocols at a central location; tightening quality assurance process regarding study selection, data extraction and quality assessment; adequate reporting of methodological shortcuts and understanding by stakeholders; piloting of an algorithm for assigning study design descriptors, and a single quality assessment tool covering multiple study designs; and incorporate, where appropriate an assessment of the confidence in the overall body of evidence using GRADE or similar framework.Conclusions The review process enabled a high volume of questions that were directly relevant to policy and clinical decision making to be addressed in a timely manner using a transparent and tailored approach.

IntroductionChild maltreatment (CM) is a complex global public health issue with potentially devastating effects on individuals’ physical and mental health and well-being throughout the life course. A lack of uniform definitions hinders attempts to identify, measure, respond to, and prevent CM. The aim of this electronic Delphi (e-Delphi) study is to build consensus on definitions and types of CM for use in surveillance and multi-sectoral research in the 34 countries in the Euro-CAN (Multi-Sectoral Responses to Child Abuse and Neglect in Europe) project (COST Action CA19106).Methods and analysisThe e-Delphi study will consist of a maximum of three rounds conducted using an online data collection platform. A multi-disciplinary expert panel consisting of researchers, child protection professionals (health and social care), police, legal professionals and adult survivors of CM will be purposefully recruited. We will approach approximately 100 experts, with between 50 and 60 of these anticipated to take part. Participants will rate their agreement with a range of statements relating to operational definitions and types of CM, and free-text comments on each of the statements to give further detail about their responses and areas of uncertainty. Consensus has been defined a priori as ≥70% of the panel agreeing or disagreeing with the statement after the final round. The responses to the open-ended questions will be analysed using a ‘codebook’ approach to thematic analysis, and used to refine the statements between rounds where no consensus is reached.Ethics and disseminationEthical approval has been granted from the Cardiff University School of Medicine ethics committee (reference number SMREC22/96). Results will be submitted for publication in a peer-reviewed journal and presented at workshops (including for the participants) and international academic conferences. The Euro-CAN network will also be used to disseminate the results, with results briefings and presentations to key public health and other relevant organisations in the field.

Background School readiness is a measure of a child’s cognitive, social, and emotional readiness to begin formal schooling. Children with low school readiness need additional support from schools for learning, developing required social and academic skills, and catching-up with their school-ready peers. This study aims to identify the most significant risk factors associated with low school readiness using linked routine data for children in Wales. Method This was a longitudinal cohort study using linked data. The cohort comprises of children who completed the Foundation Phase assessment between 2012 and 2018. Individuals were identified by linking Welsh Demographic Service and Pre16 Education Attainment datasets. School readiness was assessed via the binary outcome of the Foundation Phase assessment (achieved/not achieved). This study used multivariable logistic regression model and a decision tree to identify and weight the most important risk factors associated with low school readiness. Results In order of importance, logistic regression identified maternal learning difficulties (adjusted odds ratio 5.35(95% confidence interval 3.97–7.22)), childhood epilepsy (2.95(2.39–3.66)), very low birth weight (2.24(1.86–2.70), being a boy (2.11(2.04–2.19)), being on free school meals (1.85(1.78–1.93)), living in the most deprived areas (1.67(1.57–1.77)), maternal death (1.47(1.09–1.98)), and maternal diabetes (1.46(1.23–1.78)) as factors associated with low school readiness. Using a decision tree, eligibility for free school meals, being a boy, absence/low attendance at school, being born late in the academic year, being a low birthweight child, and not being breastfed were factors which were associated with low school readiness. Conclusion This work suggests that public health interventions focusing on children who are: boys, living in deprived areas, have poor early years attendance, have parents with learning difficulties, have parents with an illness or have illnesses themselves, would make the most difference to school readiness in the population.

BackgroundSame-day cancellation of cardiac surgery significantly impacts operating room management efficiency, which can be mitigated by taking preventive measures. This study aimed to explore the same-day cancellation rate of elective adult cardiac surgery, as well as the reasons for those cancellations. A retrospective cross-sectional study reviewed the records of 581 scheduled elective adult cardiac surgical cases at a single cardiac center from June 2017 to May 2018. The same-day cancellation reasons were grouped into four broad categories: nonclinical cancellations, clinical cancellations, patient-related cancellations, and 'other reason' cancellations. A case was considered canceled when it was not performed on the same day as the planned surgery.ResultsA total of 581 elective adult cardiac surgeries were scheduled during the study period, and 56 (9.63%) of these were canceled. The highest cancellation rate was due to nonclinical cancellations, with 39% of scheduled cases, followed by clinical cancellations, with a 34% cancellation rate. Patient-related cancellations accounted for 23% of cancellations, while the lowest rate was due to ‘other reasons,’ which accounted for 4% of total cancellations. The most common reason for nonclinical cancellations was the inclusion of emergency cases (n = 8; 14%). The most common reason for clinical cancellations was changes in the patient’s medical condition (n = 8, 14%). The common reason for patient-related cancellations was the refusal of surgery (n = 9; 16%). The lowest rate was for menstruating female patients (n = 2; 4%).ConclusionsThe same-day cancellation rate was 9.36%, and most of the cancellation reasons could be mitigated by implementing preventive strategies to improve the efficiency of the operating room. Preoperative preparation clinics and paying particular attention to female patients scheduled for surgery might reduce the rate of elective cardiac surgery cancellation.

The role of the hospital environment in the spread of COVID-19 is unclear. To measure associations between ward characteristics and outbreak size to inform mitigations. Wards with large (case wards) and small (control wards) outbreaks in three acute hospitals were compared. Cases were healthcare-associated COVID-19 inpatients (positive polymerase chain reaction test ≥8 days post admission). Case wards were adult medical/surgical wards with ≥10 cases within rolling 14-day periods, between April 1st, 2020 and April 30th, 2022. Control wards were equivalents with 2-9 cases. Demographic and laboratory data were extracted from routine surveillance systems. Continuous data were aggregated fortnightly and analysed as binary variables according to median values. Each case ward was compared with two control wards matched on outbreak start date (±14 days) to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs) using univariable and conditional multivariable logistic regression. From 170 outbreaks (median: 5 cases; interquartile range: 2-9), 35 case wards were identified. Community admissions were lower in case wards vs control wards (5 vs 10 median admissions; P<0.01, respectively), whereas transfers between wards within the same hospital were higher (58 vs 29 median transfers; P<0.01, respectively). Wards with more transfers in the preceding fortnight were significantly more likely to experience a large outbreak (≥35 vs <35 transfers; adjusted OR: 9.08; 95% CI: 2.5-33). We recommend safely minimizing patient movements, such as by asking clinicians to record the rationale for transfer, to reduce the likelihood of disease transmission.

IntroductionEnterococcus faecalis is an increasingly common cause of infective endocarditis, with a recent study by Dahl et al demonstrating a prevalence of 26% of IE when transoesophageal echo was routinely undertaken. Another study undertaken by Østergaard et al found that 16.7% of patients with E. faecalis bacteraemia developed endocarditis. Based on these findings we examined the rates of IE diagnosed in our own health board to determine if our current practice is potentially missing cases of IE and if we could improve our management of these bacteraemias. MethodsAll blood cultures in patients over 18 which were positive for E. faecalis from October 2017 to March 2022 were reviewed. We analysed the patient characteristics, clinical outcomes and included a follow up period of 6 months to assess for recrudescence and treatment failure. ResultsThe rate of patients with E. faecalis bacteraemia diagnosed with IE was 7.1%. If polymicrobial blood cultures were excluded this rose to 13.0%. Community acquisition, patient cardiac or immune risk factors, monomicrobial culture and multiple positive blood cultures all were associated with IE. 62.1% of patients with E. faecalis bacteraemia did not have an echocardiogram during their admission, due to a variety of reasons. DiscussionThe lower reported rate of IE in our cohort may be explained by higher proportion of CVC related infections. However, given the low rates of echocardiography and poor correlation of echocardiography use with IE risk factors, it is likely that cases of IE are being missed, particularly in those with multiple risk factors. Despite this, there was no difference in one-year survival between those diagnosed with IE vs without IE. We have delivered education sessions and introduced a multidisciplinary team meeting to discuss infective endocarditis cases to address these issues.