66 research outputs found

    The Alleviate Advanced Pain Discovery Platform Data Hub:A national resource for accessing and sharing pain data

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    There are many clinical and non-clinical datasets investigating pain that have been collected by researchers over many years, however, finding and getting access to them is challenging. The data are siloed in hard-to-reach places, in non-standard formats, and it is not possible to assess how relevant they are before getting access. This is a barrier to the pain research community and results in duplication of effort. It does not have to be this way and there are alternative solutions available. Alleviate is an HDR UK Data Hub for the federated querying and secure sharing of UK pain data to researchers, analysts and clinicians at a national and international level. Alleviate is the Data Hub for the Advanced Pain Discovery Platform (APDP), a £24 million research initiative to break through the complexity of pain and reveal potential new treatment approaches to address a wide spectrum of chronic and debilitating clinical conditions

    Family role in paediatric safety incidents: a retrospective study protocol

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    Introduction: Healthcare-associated harm is an international public health issue. Children are particularly vulnerable to this with 15%–35% of hospitalised children experiencing harm during medical care. While many factors increase the risk of adverse events, such as children’s dependency on others to recognise illness, children have a unique protective factor in the form of their family, who are often well placed to detect and prevent unsafe care. However, families can also play a key role in the aetiology of unsafe care. We aim to explore the role of families, guardians and parents in paediatric safety incidents, and how this may have changed during the pandemic, to learn how to deliver safer care and codevelop harm prevention strategies across healthcare settings. // Methods and analysis: This will be a retrospective study inclusive of an exploratory data analysis and thematic analysis of incident report data from the Learning from Patient Safety Events service (formerly National Reporting and Learning System), using the established PatIent SAfety classification system. Reports will be identified by using specific search terms, such as *parent* and *mother*, to capture narratives with explicit mention of parental involvement, inclusive of family members with parental and informal caregiver responsibilities. Paediatricians and general practitioners will characterise the reports and inter-rater reliability will be assessed. Exploratory descriptive analysis will allow the identification of types of incidents involving parents, contributing factors, harm outcomes and the specific role of the parents including inadvertent contribution to or mitigation of harm. // Ethics and dissemination: This study was approved by Cardiff University Research Ethics Committee (SMREC 22/32). Findings will be submitted to a peer-reviewed journal, presented at international conferences and presented at stakeholder workshops

    Variations in COVID-19 vaccination uptake among people in receipt of psychotropic drugs: cross-sectional analysis of a national population-based prospective cohort

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    BackgroundCoronavirus disease 2019 (COVID-19) has disproportionately affected people with mental health conditions.AimsWe investigated the association between receiving psychotropic drugs, as an indicator of mental health conditions, and COVID-19 vaccine uptake.MethodWe conducted a cross-sectional analysis of a prospective cohort of the Northern Ireland adult population using national linked primary care registration, vaccination, secondary care and pharmacy dispensing data. Univariable and multivariable logistic regression analyses investigated the association between anxiolytic, antidepressant, antipsychotic, and hypnotic use and COVID-19 vaccination status, accounting for age, gender, deprivation and comorbidities. Receiving any COVID-19 vaccine was the primary outcome.ResultsThere were 1 433 814 individuals, of whom 1 166 917 received a COVID-19 vaccination. Psychotropic medications were dispensed to 267 049 people. In univariable analysis, people who received any psychotropic medication had greater odds of receiving COVID-19 vaccination: odds ratio (OR) = 1.42 (95% CI 1.41–1.44). However, after adjustment, psychotropic medication use was associated with reduced odds of vaccination (ORadj = 0.90, 95% CI 0.89–0.91). People who received anxiolytics (ORadj = 0.63, 95% CI 0.61–0.65), antipsychotics (ORadj = 0.75, 95% CI 0.73–0.78) and hypnotics (ORadj = 0.90, 95% CI 0.87–0.93) had reduced odds of being vaccinated. Antidepressant use was not associated with vaccination (ORadj = 1.02, 95% CI 1.00–1.03).ConclusionsWe found significantly lower odds of vaccination in people who were receiving treatment with anxiolytic and antipsychotic medications. There is an urgent need for evidence-based, tailored vaccine support for people with mental health conditions

    Trends in SARS-CoV-2 infection and vaccination in school staff, students and their household members from 2020 to 2022 in Wales, UK: an electronic cohort study

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    Objectives We investigated SARS-CoV-2 infection trends, risk of SARS-CoV-2 infection and COVID-19 vaccination uptake among school staff, students and their household members in Wales, UK. Design Seven-day average of SARS-CoV-2 infections and polymerase chain reaction tests per 1000 people daily, cumulative incidence of COVID-19 vaccination uptake and multi-level Poisson models with time-varying covariates. Setting National electronic cohort between September 2020 and May 2022 when several variants were predominant in the UK (Alpha, Delta and Omicron). Participants School students aged 4 to 10/11 years (primary school and younger middle school, n = 238,163), and 11 to 15/16 years (secondary school and older middle school, n = 182,775), school staff in Wales (n = 47,963) and the household members of students and staff (n = 697,659). Main outcome measures SARS-CoV-2 infection and COVID-19 vaccination uptake. Results School students had a sustained period of high infection rates compared with household members after August 2021. Primary schedule vaccination uptake was highest among staff (96.3%) but lower for household members (72.2%), secondary and older middle school students (59.8%), and primary and younger middle school students (3.3%). Multi-level Poisson models showed that vaccination was associated with a lower risk of SARS-CoV-2 infection. The Delta variant posed a greater infection risk for students than the Alpha variant. However, Omicron was a larger risk for staff and household members. Conclusions Public health bodies should be informed of the protection COVID-19 vaccines afford, with more research being required for younger populations. Furthermore, schools require additional support in managing new, highly transmissible variants. Further research should examine the mechanisms between child deprivation and SARS-CoV-2 infection

    SATRE: Standardised Architecture for Trusted Research Environments

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    The SATRE DARE UK-funded Driver Project was challenged to create a trusted research environment (TRE) architecture supporting the research community's need to have suitable data analytics and research environments for working with sensitive data. The project developed an inclusive and transparent way of working to ensure that what was created was representative of the TRE community in the UK. We have created, for the first time, an open specification for TRE operators by which to evaluate themselves against a set of capabilities. It is a thorough specification, perhaps definition, for TREs informed not only by the experience of the project team who have been running a TRE and supporting sensitive data projects for a combined 15 years but also the expansive knowledge of the wider UK research community. The public has also been involved throughout the development of the specification to ensure their voices are heard and reflected in the specification. The specification has been informed through one survey completed by 105 individuals representing approximately 60 organisations, 14 Collaboration Cafés with up to 75 participants, 26 individuals contributing directly, 44 issues raised and six public engagement sessions online and in-person. Despite the breadth and diversity of the individuals included, we have been able to create a single specification encompassing four architectural principles, four pillars, 29 capabilities and 160 statements. The 75 mandatory statements are what is considered the minimum required to be a SATRE-compliant TRE. Now, with a stable version 1.0 release, the specification is ready for use by the UK TRE community. We are and will continue to work with all organisations to evaluate themselves against the specification and also identify what works and what doesn't, which will be captured in future versions of the specification. The specification has been developed with the long-term in mind and can be a basis for a common understanding between operators, data controllers, accreditors, researchers, industry and government organisations for how TREs can federate and interoperate better.This work was funded by UK Research & Innovation [Grant Number MC_PC_23008] as part of Phase 1 of the DARE UK (Data and Analytics Research Environments UK) programme, delivered in partnership with Health Data Research UK (HDR UK) and Administrative Data Research UK (ADR UK)

    TRE-FX:Delivering a federated network of trusted research environments to enable safe data analytics

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    Trusted Research Environments (TREs) are secure locations in which data are placed for researchers to analyse. TREs host administrative data, hospital data or any other data that needs to remain securely isolated, but it is hard for a researcher to perform an analysis across multiple TREs, requesting and gathering the outputs from each one. This is a common problem in the UK's devolved healthcare system of geographical and governance boundaries. There are different ways of implementing TREs and the analysis tools that use them. A solution must be straightforward for existing, independent systems to adopt, must cope with the variety of system implementations, and must work within the "Five Safes" framework that enables data services to provide safe research access to data. TRE-FX assembled leading infrastructure researchers, analysis tool makers, TRE providers and public engagement specialists to streamline the exchange of data requests and results. The "Five Safes RO-Crate" standard packages up (Crates) the Objects needed for Research requests and results with the information needed for the tools and TRE providers to ensure that the crates are reviewed and processed according to Five Safes principles. TRE-FX showed how this works using software components and an end-to-end demonstrator implemented by a TRE in Wales. Two other TREs, in Scotland and England, are preparing to follow suit. Two analysis tool providers (Bitfount and DataSHIELD) modified their systems to use the RO-Crates. The next step is practical implementation as part of the HDR UK programme. Two large European projects will develop the approach further. TRE-FX shows that it is possible to streamline how analysis tools access multiple TREs while enabling the TREs to ensure that the access is safe. The approach scales as more TREs are added and can be adopted by established systems. Researchers will then be able to perform an analysis across multiple TREs much more easily, widening the scope of their research and making more effective use of the UK's data. If we had had this for COVID-19 data analysis, it would have super-charged researchers to be able to quickly answer pressing questions across the UK. This work was funded by UK Research & Innovation [Grant Number MC_PC_23007] as part of Phase 1 of the DARE UK (Data and Analytics Research Environments UK) programme, delivered in partnership with Health Data Research UK (HDR UK) and Administrative Data Research UK (ADR UK)

    COVID-19 booster vaccination uptake and infection breakthrough amongst health care workers in Wales:A national prospective cohort study

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    Background: From September 2021, Health Care Workers (HCWs) in Wales began receiving a COVID-19 booster vaccination. This is the first dose beyond the primary vaccination schedule. Given the emergence of new variants, vaccine waning vaccine, and increasing vaccination hesitancy, there is a need to understand booster vaccine uptake and subsequent breakthrough in this high-risk population. Methods: We conducted a prospective, national-scale, observational cohort study of HCWs in Wales using anonymised, linked data from the SAIL Databank. We analysed uptake of COVID-19 booster vaccinations from September 2021 to February 2022, with comparisons against uptake of the initial primary vaccination schedule. We also analysed booster breakthrough, in the form of PCR-confirmed SARS-Cov-2 infection, comparing to the second primary dose. Cox proportional hazard models were used to estimate associations for vaccination uptake and breakthrough regarding staff roles, socio-demographics, household composition, and other factors. Results: We derived a cohort of 73,030 HCWs living in Wales (78% female, 60% 18–49 years old). Uptake was quickest amongst HCWs aged 60 + years old (aHR 2.54, 95%CI 2.45–2.63), compared with those aged 18–29. Asian HCWs had quicker uptake (aHR 1.18, 95%CI 1.14–1.22), whilst Black HCWs had slower uptake (aHR 0.67, 95%CI 0.61–0.74), compared to white HCWs. HCWs residing in the least deprived areas were slightly quicker to have received a booster dose (aHR 1.12, 95%CI 1.09–1.16), compared with those in the most deprived areas. Strongest associations with breakthrough infections were found for those living with children (aHR 1.52, 95%CI 1.41–1.63), compared to two-adult only households. HCWs aged 60 + years old were less likely to get breakthrough infections, compared to those aged 18–29 (aHR 0.42, 95%CI 0.38–0.47). Conclusion: Vaccination uptake was consistently lower among black HCWs, as well as those from deprived areas. Whilst breakthrough infections were highest in households with children
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