Views of health care professionals and policy-makers on the use of surveillance data to combat antimicrobial resistance.

BACKGROUND: Providing healthcare professionals with health surveillance data aims to support professional and organisational behaviour change. The UK Five Year Antimicrobial Resistance (AMR) Strategy 2013 to 2018 identified better access to and use of surveillance data as a key component. Our aim was to determine the extent to which data on antimicrobial use and resistance met the perceived needs of health care professionals and policy-makers at national, regional and local levels, and how provision could be improved. METHODS: We conducted 41 semi-structured interviews with national policy makers in the four Devolved Administrations and 71 interviews with health care professionals in six locations across the United Kingdom selected to achieve maximum variation in terms of population and health system characteristics. Transcripts were analysed thematically using a mix of a priori reasoning guided by the main topics in the interview guide together with themes emerging inductively from the data. Views were considered at three levels - primary care, secondary care and national - and in terms of availability of data, current uses, benefits, gaps and potential improvements. RESULTS: Respondents described a range of uses for prescribing and resistance data. The principal gaps identified were prescribing in private practice, internet prescribing and secondary care (where some hospitals did not have electronic prescribing systems). Some respondents under-estimated the range of data available. There was a perception that the responsibility for collecting and analysing data often rests with a few individuals who may lack sufficient time and appropriate skills. CONCLUSIONS: There is a need to raise awareness of data availability and the potential value of these data, and to ensure that data systems are more accessible. Any skills gap at local level in how to process and use data needs to be addressed. This requires an identification of the best methods to improve support and education relating to AMR data systems

Potential donor family behaviours, experiences and decisions following implementation of the Organ Donation (Deemed Consent) Act 2019 in England:A qualitative study

BACKGROUND: In May 2020, England implemented "deemed consent" legislation, to make it easier for individuals to donate their organs and convey their decision when alive. Families are supposed to support the decision but can still override it if they disagree. We aimed to learn more about this changed role when families were approached about organ donation.METHODS: A qualitative study using semi-structured interviews with families, feedback from nurses, comparisons with audit data, and public involvement. We used framework analysis with a health systems perspective and utilitarian theory to explore if the law worked.FINDINGS: 103 participants were interviewed representing 83 potential donation cases. In 31/83 (37%) cases donation was fully supported, in 41/83 (49%) cases families supported retrieval of some organs, tissues and procedures, and in 11/83 (13%) cases families declined completely. Themes explaining why the law was not (yet) working included: Understanding and agreeing the family's role, confusion about deemed consent, not supporting the deceased expressed decisions, organ donation as too much of a harm, the different experiences of donation pathways, transition from end-of-life to organ donation discussions, experiences of 'consent', paperwork and processes. Families frequently questioned if their relative wanted to have a surgery rather than supporting the person who died to save lives.CONCLUSION: Families use the unique experience of their relative dying in intensive care to create alternate narratives whereby the outcome satisfies their own utility and not necessarily those of the potential donor. New public ongoing media campaigns crafted to be more supportive of organ donation as a benefit to transplant recipients could help families overcome the many difficulties they encounter at the bedside.IMPLICATIONS FOR CLINICAL PRACTICE: The soft opt-out policy has not empowered nurses to help families at their most vulnerable to increase their support for and consent to deceased organ donation.</p

Public trust in the Government to control the spread of COVID-19 in England after the first wave-a longitudinal analysis.

BACKGROUND: To control the spread of coronavirus disease 2019 (COVID-19), governments are increasingly relying on the public to voluntarily manage risk. Effectiveness is likely to rely in part on how much the public trusts the Government's response. We examined the English public's trust in the Conservative Government to control the spread of COVID-19 after the initial 'crisis' period. METHODS: We analyzed eight rounds of a longitudinal survey of 1899 smartphone users aged 18-79 in England between October 2020 and December 2021. We fitted a random-effects logit model to identify personal characteristics and opinions associated with trust in the Conservative Government to control the spread of COVID-19. RESULTS: Trust was lowest in January 2021 (28%) and highest in March 2021 (44%). Being older, having lower educational attainment and aligning with the Conservative Party were predictors of higher levels of trust. Conversely, being less deprived, reporting that Government communications were not clear and considering that the measures taken by the Government went too far or not far enough were predictors of being less likely to report a great deal or a fair amount of trust in the Government to control the pandemic. CONCLUSION: Trust in the Government's response was found to be low throughout the study. Our findings suggest that there may be scope to avoid losing trust by aligning Government actions more closely with scientific advice and public opinion, and through clearer public health messaging. However, it remains unclear whether and how higher trust in the Government's response would increase compliance with Government advice

Quality and Utility of Information Captured by Surveillance Systems Relevant to Antimicrobial Resistance (AMR): A Systematic Review.

Health surveillance systems are considered vital for combatting antimicrobial resistance (AMR); however, the evidence-base on the effectiveness of these systems in providing information that can be used by healthcare professionals, or the acceptability of these systems by users, has not been reviewed. A systematic review was conducted of a number of databases to synthesise the evidence. The review identified 43 studies that met the inclusion criteria, conducted in 18 countries and used 11 attributes in their assessment of surveillance systems. The majority of systems evaluated were for monitoring the incidence of tuberculosis. The studies found that most surveillance systems were underperforming in key attributes that relate to both effectiveness and acceptability. We identified that two features of systems (ease of use and users' awareness of systems) were associated with greater acceptability and completeness of systems. We recommend prioritising these for the improvement of existing systems, as well as ensuring consistency in the definition of attributes studied, to allow a more consistent approach in evaluations of surveillance systems, and to facilitate the identification of the attributes that have the greatest impact on the utility of data produced

A machine-learning approach to estimating public intentions to become a living kidney donor in England: Evidence from repeated cross-sectional survey data

BACKGROUND: Living kidney organ donors offer a cost-effective alternative to deceased organ donation. They enable patients with life-threatening conditions to receive grafts that would otherwise not be available, thereby creating space for other patients waiting for organs and contributing to reducing overall waiting times for organs. There is an emerging consensus that an increase in living donation could contribute even more than deceased donation to reducing inequalities in organ donation between different population sub-groups in England. Increasing living donation is thus a priority for National Health Service Blood and Transplant (NHSBT) in the United Kingdom. METHODS: Using the random forest model, a machine learning (ML) approach, this study analyzed eight waves of repeated cross-sectional survey data collected from 2017 to 2021 (n = 14,278) as part of the organ donation attitudinal tracker survey commissioned by NHSBT in England to identify and help predict key factors that inform public intentions to become living donors. RESULTS: Overall, around 58.8% of the population would consider donating their kidney to a family member (50.5%), a friend (28%) or an unknown person (13.2%). The ML algorithm identified important factors that influence intentions to become a living kidney donor. They include, in reducing order of importance, support for organ donation, awareness of organ donation publicity campaigns, gender, age, occupation, religion, number of children in the household, and ethnic origin. Support for organ donation, awareness of public campaigns, and being younger were all positively associated with predicted propensity for living donation. The variable importance scores show that ethnic origin and religion were less important than the other variables in predicting living donor intention. CONCLUSION: Factors influencing intentions to become a living donor are complex and highly individual in nature. Machine learning methods that allow for complex interactions between characteristics can be helpful in explaining these decisions. This work has identified important factors and subgroups that have higher propensity for living donation. Interventions should target both potential live donors and recipients. Research is needed to explore the extent to which these preferences are malleable to better understand what works and in which contexts to increase live organ donation

Sankey diagrams can clarify 'evidence attrition': A systematic review and meta-analysis of the effectiveness of rapid diagnostic tests for antimicrobial resistance.

OBJECTIVES: To demonstrate, using the example of a new systematic review of rapid diagnostic tests, how Sankey diagrams, alongside the PRISMA guidelines, can (i) facilitate reporting of the quality of the evidence base and (ii) help assess evidence syntheses when studies use heterogeneous outcomes. METHODS: Systematic review and meta-analysis of experimental and observational studies which included at least one prescribing or clinical outcome of RDTs in hospital in-patients. Sub-group analysis was used to assess heterogeneity in summary effect estimates. A Sankey diagram was then used to show the pattern and quality of evidence on RDT outcomes. RESULTS: 57 studies from 14 countries were included. The introduction of RDTs did not significantly reduce in-hospital mortality (RR 0.83, 95% CI 0.60 - 1.15) or length of stay (weighted mean difference = -0.36, 95% CI -1.67 to 0.96). There was high heterogeneity in outcomes. CONCLUSION: There is no clear evidence that the routine use of RDTs for bacterial identification and antibiotic susceptibility testing improves clinical outcomes in hospital in-patients. Sankey diagrams may be a useful further way succinctly to present the pattern and quality of evidence in systematic reviews, especially when it is heterogeneous and not easily amenable to meta-analysis

Early evaluation of the Children and Young People's Mental Health Trailblazer programme:a rapid mixed-methods study

BACKGROUND: The Children and Young People’s Mental Health Trailblazer programme is funding the creation of new mental health support teams to work in schools and further education colleges. Mental health support teams directly support children and young people with ‘mild to moderate’ mental health problems and work with school and college staff to promote well-being for all. A new workforce of education mental health practitioners is being trained for the teams. OBJECTIVE(S): The National Institute for Health and Care Research Birmingham, RAND and Cambridge Evaluation Rapid Evaluation Centre and Policy Innovation and Evaluation Research Unit undertook an early evaluation of the Trailblazer programme to examine the development, implementation and early progress of mental health support teams in the programme’s first 25 ‘Trailblazer’ sites. DESIGN: A mixed-methods evaluation, comprising three work packages: 1. Establishing the baseline and understanding the development and early impacts of the Trailblazer sites, including two rounds of surveys with key informants and participating education settings in all 25 sites. 2. More detailed research in five purposively selected Trailblazer sites, including interviews with a range of stakeholders and focus groups with children and young people. 3. Scoping and developing options for a longer-term assessment of the programme’s outcomes and impacts. Fieldwork was undertaken between November 2020 and February 2022. The University of Birmingham Institute for Mental Health Youth Advisory Group was involved throughout the study, including co-producing the focus groups with children and young people. RESULTS: Substantial progress had been made implementing the programme, in challenging circumstances, and there was optimism about what it had the potential to achieve. The education mental health practitioner role had proven popular, but sites reported challenges in retaining education mental health practitioners, and turnover left mental health support teams short-staffed and needing to re-recruit. Education settings welcomed additional mental health support and reported positive early outcomes, including staff feeling more confident and having faster access to advice about mental health issues. At the same time, there were concerns about children who had mental health problems that were more serious than ‘mild to moderate’ but not serious enough to be accepted for specialist help, and that the interventions offered were not working well for some young people. Mental health support teams were generally spending more time supporting children with mental health problems than working with education settings to develop ‘whole school’ approaches to mental health and well-being, and service models in some sites appeared to be more clinically oriented, with a strong focus on mental health support teams’ therapeutic functions. LIMITATIONS: Despite efforts to maximise participation, survey response rates were relatively low and some groups were less well represented than others. We were not able to gather sufficiently detailed data to develop a typology of Trailblazer sites, as was planned. CONCLUSIONS: Key lessons for future programme implementation include: - Whether mental health support teams should expand support to children and young people with more complex and serious mental health problems. - How to keep the twin aims of prevention and early intervention in balance. - How to retain education mental health practitioners once trained. FUTURE WORK: The findings have important implications for the design of a longer-term impact evaluation of the programme, which is due to commence in summer 2023