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Background: Patient and public involvement (PPI) is a requirement for UK health and social care research funding. Evidence for how best to implement PPI in research programmes, such as National Institute for Health Research (NIHR) Collaborations for Applied Health Research and Care (CLAHRCs), remains limited. This paper reports findings from an action research (AR) project called IMPRESS, which aims to strengthen PPI within CLAHRC East of England (EoE). IMPRESS combines AR with Normalisation Process Theory (NPT) to explore PPI within diverse case study projects, identifying actions to implement, test and refine to further embed PPI. Methods: We purposively selected CLAHRC EoE case study projects for in-depth analysis of PPI using NPT. Data were generated from project PPI documentation, semi-structured qualitative interviews with researchers and PPI contributors and focus groups. Transcripts and documents were subjected to abductive thematic analysis and triangulation within case. Systematic across case comparison of themes was undertaken with findings and implications refined through stakeholder consultation. Results: We interviewed 24 researchers and 13 PPI contributors and analysed 28 documents from 10 case studies. Three focus groups were held: two with researchers (n = 4 and n = 6) and one with PPI contributors (n = 5). Findings detail to what extent projects made sense of PPI, bought in to PPI, operationalised PPI and appraised it, thus identifying barriers and enablers to fully embedded PPI. Conclusion: Combining NPT with AR allows us to assess the embeddedness of PPI within projects and programme, to inform specific local action and report broader conceptual lessons for PPI knowledge and practice informing the development of an action framework for embedding PPI in research programmes. To embed PPI within similar programmes teams, professionals, disciplines and institutions should be recognised as variably networked into existing PPI support. Further focus and research is needed on sharing PPI learning and supporting innovation in PPI. [ABSTRACT FROM AUTHOR]

Background: Funding shortages and an ageing population have increased pressures on state or insurance funded end of life care for older people. Across the world, policy debate has arisen about the potential role volunteers can play, working alongside health and social care professionals in the community to support and care for the ageing and dying. Aims: The authors examined self-reported levels of care for the elderly by the public in England, and public opinions of community volunteering concepts to care for the elderly at the end of life. In particular, claimed willingness to help and to be helped by local people was surveyed. Methods: A sample of 3,590 adults in England aged 45 or more from an online access panel responded to a questionnaire in late 2017. The survey data was weighted to be representative of the population within this age band. Key literature and formative qualitative research informed the design of the survey questionnaire, which was further refined after piloting. Results: Preferences for different models of community volunteering were elicited. There was a preference for ‘formal’ models with increased wariness of ‘informal’ features. Whilst 32% of adults said they ‘might join’ depending on whom the group helped, unsurprisingly more personal and demanding types of help significantly reduced the claimed willingness to help. Finally, willingness to help (or be helped) by local community carers or volunteers was regarded as less attractive than care being provided by personal family, close friends or indeed health and care professionals. Conclusion: Findings suggest that if community volunteering to care for elderly people at the end of life in England is to expand it may require considerable attention to the model including training for volunteers and protections for patients and volunteers as well as public education and promotion. Currently, in England, there is a clear preference for non-medical care to be delivered by close family or social care professionals, with volunteer community care regarded only as a back-up option. [ABSTRACT FROM AUTHOR]

Objective: To examine cross-sectional and prospective associations between perceived discrimination in daily life (based on a range of attributes), sexual orientation discrimination, and health and wellbeing in middle-aged and older lesbian, gay and bisexual (LGB) people. Methods: Data were from 304 LGB men and women aged 41–85 years participating in the English Longitudinal Study of Ageing. Perceived discrimination in daily life was reported in 2010/11. Participants could attribute their discrimination experience to characteristics including age, sex, race, physical disability, and sexual orientation. Self-rated health, limiting long-standing illness, depressive symptoms, quality of life, life satisfaction and loneliness were assessed in 2010/11 and 2016/17. Analyses adjusted for age, sex, ethnicity, partnership status and socioeconomic position. Results: Perceived discrimination in daily life was reported by 144 (47.4%) participants. Cross-sectionally, perceived discrimination in daily life was associated with increased odds of depressive symptoms (OR = 2.30, 95% CI 1.02 to 5.21), loneliness (OR = 3.37, 95% CI 1.60 to 7.10) and lower quality of life (B = -3.31, 95% CI -5.49 to -1.12). Prospectively, perceived discrimination in daily life was associated with increased odds of loneliness (OR = 3.12, 95% CI 1.08 to 8.99) and lower quality of life (B = -2.08, 95% CI -3.85 to -0.31) and life satisfaction (B = -1.92, 95% CI -3.44 to -0.39) over six-year follow-up. Effect sizes were consistently larger for participants who attributed experiences of discrimination to their sexual orientation compared with those who attributed experiences of discrimination to other reasons (e.g. age, sex, race). Conclusion: These results provide cross-sectional and prospective evidence of associations between perceived discrimination in daily life and health and wellbeing outcomes in middle-aged and older LGB adults in England. [ABSTRACT FROM AUTHOR]

Given the high prevalence of common mental disorders (CMDs) and individuals living alone in the United Kingdom, the goal of this study using English nationally representative data was to examine the association between living alone and CMDs, and to identify potential mediating factors of this association. The data were drawn from the 1993, 2000 and 2007 National Psychiatric Morbidity Surveys. CMDs were assessed using the Clinical Interview Schedule-Revised (CIS-R), a questionnaire focusing on past week neurotic symptoms. The presence of CMDs was defined as a CIS-R total score of 12 and above. Multivariable logistic regression and mediation analyses were conducted to analyze the association between living alone and CMDs, and to identify mediators in this association. The prevalence of CMDs was higher in individuals living alone than in those not living alone in all survey years. Multivariable analysis showed a positive association between living alone and CMDs in all survey years (1993: odds ratio [OR] = 1.69; 2000: OR = 1.63; and 2007: OR = 1.88). Overall, loneliness explained 84% of the living alone-CMD association. Living alone was positively associated with CMDs. Interventions addressing loneliness among individuals living alone may be particularly important for the mental wellbeing of this vulnerable population. [ABSTRACT FROM AUTHOR]

Objective: To explore pregnant women’s preferences for birth setting in England. Design: Labelled discrete choice experiment (DCE). Setting: Online survey. Sample: Pregnant women recruited through social media and an online panel. Methods: We developed a DCE to assess women’s preferences for four hypothetical birth settings based on seven attributes: reputation, continuity of care, distance from home, time to see a doctor, partner able to stay overnight, chance of straightforward birth and safety for baby. We used a mixed logit model, with setting modelled as an alternative-specific constant, and conducted a scenario analysis to evaluate the impact of changes in attribute levels on uptake of birth settings. Main outcome measures: Women’s preferences for birth setting. Results: 257 pregnant women completed the DCE. All birth setting attributes, except ‘time to see doctor’, were significant in women’s choice (p<0.05). There was significant heterogeneity in preferences for some attributes. Changes to levels for ‘safety for the baby’ and ‘partner able to stay overnight’ were associated with larger changes from baseline uptake of birth setting. If the preferences identified were translated into the real-world context up to a third of those who reported planning birth in an obstetric unit might choose a midwifery unit assuming universal access to all settings, and knowledge of the differences between settings. Conclusions: We found that ‘safety for the baby’, ‘chance of a straightforward birth’ and ‘can the woman’s partner stay overnight following birth’ were particularly important in women’s preferences for hypothetical birth setting. If all birth settings were available to women and they were aware of the differences between them, it is likely that more low risk women who currently plan birth in OUs might choose a midwifery unit. [ABSTRACT FROM AUTHOR]

Quantifying the value of investment in medical research can inform decision-making on the prioritisation of research programmes. Existing methodologies to estimate the rate of return of medical research are inappropriate for early-phase translational research due to censoring of health benefits and time lags. A strategy to improve the process of translational research for patient benefit has been initiated as part of the UK National Institute for Health Research (NIHR) investment in Biomedical Research Centres (BRCs) in England. By providing a platform for partnership between universities, NHS trusts and industry, successful BRCs should reduce time lags within translational research whilst also providing an impetus for local economic growth through industry collaboration. We present a novel contribution in the assessment of early-phase biomedical research by estimating the impact of the Oxford Biomedical Research Centre (OxBRC) on income and job creation following the initial NIHR investment. We adopt a macroeconomic assessment approach using Input-Output Analysis to estimate the value of medical research in terms of income and job creation during the early pathway towards translational biomedical research. Inter-industry linkages are assessed by building a model economy for the South East England region to estimate the return on investment of the OxBRC. The results from the input-output model estimate that the return on investment in biomedical research within the OxBRC is 46%. Each £1 invested in the OxBRC generates an additional £0.46 through income and job creation alone. Multiplicative employment effects following a marginal investment in the OxBRC of £98m during the period 2007-2017 result in an estimated additional 196 full time equivalent positions being created within the local economy on top of direct employment within OxBRC. Results from input-output analyses can be used to inform the prioritisation of biomedical research programmes when compared against national minimum thresholds of investment. [ABSTRACT FROM AUTHOR]

England’s national Improving Access to Psychological Therapies (IAPT) programme advocates stepped care as its organizational delivery of psychological therapies to common mental health problems. There is limited evidence regarding the efficacy of stepped care as a service delivery model, heterogeneity of definition and differences in model implementation in both research and routine practice, hence outcome comparison in terms of effectiveness of model is difficult. Despite sound evidence of the efficacy of low intensity interventions there appears to be a perpetuation of the notion that severity and complexity should only be treated by a high intensity intervention through the continuation of a stratified care model. Yet no psychotherapy treatment is found to be more superior to another, and not enough is known about what works for whom to aid the matching of treatment decision. In the absence of understanding precise treatment factors optimal for recovery, it may be useful to better understand the impact of a service delivery model, and whether different models achieve different outcomes. This study aims to contribute to the discussion regarding the stepped care definition and delivery, and explores the impact on clinical outcomes where different types of stepped care have been implemented within the same service. An observational cohort study analysed retrospective data (n = 16,723) over a 4 year period, in a single IAPT service, where delivery changed from one type of stepped care model to another. We compared the outcomes of treatment completers with a stratified care model and a progression care model. We also explored the assumption that patients who score severe on psychological measures, and therefore are potentially complex, would achieve better outcomes in a stratified model. Outcomes in each model type were compared, alongside baseline factor variables. A significant association was observed between a recovery outcome and model type, with patients 1.5 times more likely to recover in the progression delivery model. The potential implications are that with a progression stepped care model of service delivery, more patients can be treated with a lower intensity intervention, even with initial severe presentations, ensuring that only those that need high intensity CBT or equivalent are stepped up. This could provide services with an effective clinical model that is efficient and potentially more cost effective. [ABSTRACT FROM AUTHOR]

Background: The Healthy Living Pharmacy (HLP) project, launched in England, UK in 2009 was a novel approach of introducing public health services within community pharmacy to tackle local health inequalities. A national roll-out followed a reported successful pilot; subsequent local evaluations ensued. Objectives: To summarise reported outcomes and investigate contextual factors that indicate the presence, absence and maturity of implementation determinants, thus offering useful lessons to stakeholders in implementing future initiatives to achieve successful outcomes. Methods: A systematic review was conducted to identify all publications reporting on the HLP project. All HLP articles and conference abstracts were considered for inclusion and were assessed for methodological quality. The Consolidated Framework for Implementation Research (CFIR) was utilised to identify potential implementation determinants reported. Each article was then analysed to identify reported economic, humanistic or clinical outcomes. Results: The review included six peer-reviewed journal articles and 12 conference abstracts. Joanna Briggs Institute Qualitative Assessment and Review Instrument indicated deficiencies in methodological quality. Through adoption of the CFIR framework, the implementation determinants relevant to the implementation of HLP into community pharmacy were identified. A resonating issue emerged in that the absence of adopting an evidence-based implementation process limited the ability to capture meaningful outcome data. This resulted in a lack of evidence to support sustainability and the failure to address many of the well cited barriers, e.g. lack of awareness amongst patients, public and other healthcare professionals, and weak support for future investment in resource for training and dissemination. Conclusions: Healthcare systems are increasingly called on to adopt evidence-based interventions that improve quality, control costs, and maximize value, thus offering opportunity to accelerate the implementation of clinical pharmacy services and programs aimed at improving patient care. Interventions, such as the HLP project require focused efforts on implementation and evaluation of those implementation efforts to produce effective and lasting changes in complex health care systems. [ABSTRACT FROM AUTHOR]