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Rationale, aims and objective: Substituting outpatient hospital care with primary care is seen as a solution to decrease unnecessary referrals to outpatient hospital care and decrease rising healthcare costs. This systematic review aimed to evaluate the effects on quality of care, health and costs outcomes of substituting outpatient hospital care with primary care-based interventions, which are performed by medical specialists in face-to-face consultations in a primary care setting. Method: The systematic review was performed using the PICO framework. Original papers in which the premise of the intervention was to substitute outpatient hospital care with primary care through the involvement of a medical specialist in a primary care setting were eligible. Results: A total of 14 papers were included. A substitution intervention in general practitioner (GP) practices was described in 11 papers, three described a joint consultation intervention in which GPs see patients together with a medical specialist. This study showed that substitution initiatives result mostly in favourable outcomes compared to outpatient hospital care. The initiatives resulted mostly in shorter waiting lists, shorter clinic waiting times and higher patient satisfaction. Costs for treating one extra patient seemed to be higher in the intervention settings. This was mainly caused by inefficient planning of consultation hours and lower patient numbers. Conclusions: Despite the fact that internationally a lot has been written about the importance of performing substitution interventions in which preventing unnecessary referrals to outpatient hospital care was the aim, only 14 papers were included. Future systematic reviews should focus on the effects on the Triple Aim of substitution initiatives in which other healthcare professions than medical specialists are involved along with new technologies, such as e-consults. Additionally, to gain more insight into the effects of substitution initiatives operating in a dynamic healthcare context, it is important to keep evaluating the interventions in a longitudinal study design. [ABSTRACT FROM AUTHOR]

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]

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]

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]

Many disciplines of scholarship are interested in the Relative Age Effect (RAE), whereby age-banding confers advantages on older members of the cohort over younger ones. Most research does not test this relationship in a manner consistent with theory (which requires a decline in frequency across the cohort year), instead resorting to non-parametric, non-directional approaches. In this article, the authors address this disconnect, provide an overview of the benefits associated with Poisson regression modelling, and two managerially useful measures for quantifying RAE bias, namely the Indices of Discrimination and Wastage. In a tutorial-like exposition, applications and extensions of this approach are illustrated using data on professional soccer players competing in the top two tiers of the “Big Five” European football leagues in the search to identify paragon clubs, leagues, and countries from which others may learn to mitigate this form of age-discrimination in the talent identification process. As with OLS regression, Poisson regression may include more than one independent variable. In this way we test competing explanations of RAE; control for unwanted sources of covariation; model interaction effects (that different clubs and countries may not all be subject to RAE to the same degree); and test for non-monotonic versions of RAE suggested in the literature. [ABSTRACT FROM AUTHOR]

Access to reliable and timely information ensures that decision-makers can operate effectively. The motivations and challenges of parliamentarians and policy-makers in accessing evidence have been well documented in the policy literature. However, there has been little focus on research-providers. Understanding both the demand- and the supply-side of research engagement is imperative to enhancing impactful interactions. Here, we examine the broader experiences, motivations and challenges of UK-based research professionals engaging with research-users relevant to policy-making and scrutiny in the UK using a nationwide online questionnaire. The context of the survey partly involved contributing to the UK Evidence Information Service (EIS), a proposed rapid match-making service to facilitate interaction between parliamentary arenas that use evidence and research-providers. Our findings reveal, at least for this sub-sample who responded, that there are gender-related differences in policy-related experience, motivations, incentives and challenges for research professionals to contribute to evidence-informed decision-making through initiatives such as the EIS. Male and female participants were equally likely to have policy experience; however, males reported both significantly broader engagement with the research-users included in the survey and significantly higher levels of engagement with each research-user. Reported incentives for engagement included understanding what the evidence will be used for, guidance on style and content of contribution, and acknowledgement of contributions by the policymaker or elected official. Female participants were significantly more likely to select the guidance-related options. The main reported barrier was workload. We discuss how academia-policy engagement initiatives can best address these issues in ways that enhance the integration of research evidence with policy and practice across the UK. [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]

Problem: Do conservative econometric models that comply with the Golden Rule of Forecasting provide more accurate forecasts?, Methods: To test the effects of forecast accuracy, we applied three evidence-based guidelines to 19 published regression models used for forecasting 154 elections in Australia, Canada, Italy, Japan, Netherlands, Portugal, Spain, Turkey, U.K., and the U.S. The guidelines direct forecasters using causal models to be conservative to account for uncertainty by (I) modifying effect estimates to reflect uncertainty either by damping coefficients towards no effect or equalizing coefficients, (II) combining forecasts from diverse models, and (III) incorporating more knowledge by including more variables with known important effects., Findings: Modifying the econometric models to make them more conservative reduced forecast errors compared to forecasts from the original models: (I) Damping coefficients by 10% reduced error by 2% on average, although further damping generally harmed accuracy; modifying coefficients by equalizing coefficients consistently reduced errors with average error reductions between 2% and 8% depending on the level of equalizing. Averaging the original regression model forecast with an equal-weights model forecast reduced error by 7%. (II) Combining forecasts from two Australian models and from eight U.S. models reduced error by 14% and 36%, respectively. (III) Using more knowledge by including all six unique variables from the Australian models and all 24 unique variables from the U.S. models in equal-weight "knowledge models" reduced error by 10% and 43%, respectively., Originality: This paper provides the first test of applying guidelines for conservative forecasting to established election forecasting models., Usefulness: Election forecasters can substantially improve the accuracy of forecasts from econometric models by following simple guidelines for conservative forecasting. Decision-makers can make better decisions when they are provided with models that are more realistic and forecasts that are more accurate., Competing Interests: The authors have declared that no competing interests exist.