Mapping the disease-specific LupusQoL to the SF-6D

Purpose To derive a mapping algorithm to predict SF-6D utility scores from the non-preference-based LupusQoL and test the performance of the developed algorithm on a separate independent validation data set. Method LupusQoL and SF-6D data were collected from 320 patients with systemic lupus erythematosus (SLE) attending routine rheumatology outpatient appointments at seven centres in the UK. Ordinary least squares (OLS) regression was used to estimate models of increasing complexity in order to predict individuals’ SF-6D utility scores from their responses to the LupusQoL questionnaire. Model performance was judged on predictive ability through the size and pattern of prediction errors generated. The performance of the selected model was externally validated on an independent data set containing 113 female SLE patients who had again completed both the LupusQoL and SF-36 questionnaires. Results Four of the eight LupusQoL domains (physical health, pain, emotional health, and fatigue) were selected as dependent variables in the final model. Overall model fit was good, with R2 0.7219, MAE 0.0557, and RMSE 0.0706 when applied to the estimation data set, and R2 0.7431, MAE 0.0528, and RMSE 0.0663 when applied to the validation sample. Conclusion This study provides a method by which health state utility values can be estimated from patient responses to the non-preference-based LupusQoL, generalisable beyond the data set upon which it was estimated. Despite concerns over the use of OLS to develop mapping algorithms, we find this method to be suitable in this case due to the normality of the SF-6D data

Paying for improvements in quality: recent experience in the NHS in England

There is a long-term international trend towards linking payments more closely to providers’ performance. The US and England have been at the forefront of the design and introduction of such pay-for-performance (P4P) schemes. England’s experience is, however, likely to have greater salience for the Nordic countries’ health care systems due to the publicly funded finance structure. We review the development of five of England’s major schemes and summarise the available evidence on their impacts. These schemes are: the Quality and Outcomes Framework (QOF); Advancing Quality; the Commissioning for Quality and Innovation (CQUIN) framework; Best Practice Tariffs; and the newest ‘non-payment’ policies. Much of the evidence is limited by the non-experimental way in which the schemes have been introduced, with limited data available prior to the introduction of the schemes and no experimentally unexposed providers to serve as controls. Nonetheless, the existing evidence suggests that P4P can result in modest short-term improvements in the incentivised aspects of performance. There is little evidence of effort diversion, yet some to suggest positive spillovers of these schemes onto non-incentivised aspects of performance. While there is some evidence of gaming and inequitable consequences, these do not appear to be widespread. The gains that can accrue across large patient populations as a result of relatively small financial incentives mean that P4P schemes can be cost-effective. P4P programmes are likely to be most effective when introduced as a supporting part to a wider quality improvement initiative, and when results are published to encourage a reputational as well as a financial incentive for improvement. Though the accumulation of evidence to support P4P has not been systematic or especially robust, it remains a popular policy tool with decision-makers in England, with its reach set to increase further in the future

Controlled packing and single-droplet resolution of 3D-printed functional synthetic tissues

3D-printing networks of droplets connected by interface bilayers are a powerful platform to build synthetic tissues in which functionality relies on precisely ordered structures. However, the structural precision and consistency in assembling these structures is currently limited, which restricts intricate designs and the complexity of functions performed by synthetic tissues. Here, we report that the equilibrium contact angle (θDIB) between a pair of droplets is a key parameter that dictates the tessellation and precise positioning of hundreds of picolitre-sized droplets within 3D-printed, multi-layer networks. When θDIB approximates the geometrically-derived critical angle (θc) of 35.3°, the resulting networks of droplets arrange in regular hexagonal close-packed (hcp) lattices with the least fraction of defects. With this improved control over droplet packing, we can 3D-print functional synthetic tissues with single-droplet-wide conductive pathways. Our new insights into 3D droplet packing permit the fabrication of complex synthetic tissues, where precisely positioned compartments perform coordinated tasks

Evidence of robust, universal conformal invariance in living biological matter

Collective cellular movement plays a crucial role in many processes fundamental to health, including development, reproduction, infection, wound healing, and cancer. The emergent dynamics that arise in these systems are typically thought to depend on how cells interact with one another and the mechanisms used to drive motility, both of which exhibit remarkable diversity across different biological systems. Here, we report experimental evidence of a universal feature in the patterns of flow that spontaneously emerges in groups of collectively moving cells. Specifically, we demonstrate that the flows generated by collectively moving dog kidney cells, human breast cancer cells, and by two different strains of pathogenic bacteria, all exhibit conformal invariance. Remarkably, not only do our results show that all of these very different systems display robust conformal invariance, but we also discovered that the precise form of the invariance in all four systems is described by the Schramm-Loewner Evolution (SLE), and belongs to the percolation universality class. A continuum model of active matter can recapitulate both the observed conformal invariance and SLE form found in experiments. The presence of universal conformal invariance reveals that the macroscopic features of living biological matter exhibit universal translational, rotational, and scale symmetries that are independent of the microscopic properties of its constituents. Our results show that the patterns of flows generated by diverse cellular systems are highly conserved and that biological systems can unexpectedly be used to experimentally test predictions from the theories for conformally invariant structure

“She’s been a rock”: the function and importance of ‘holding’ by social prescribing link workers in primary care in England: findings from a realist evaluation.

Social prescribing link workers are new roles in English primary care. One of their intended functions is to address the increasing number of patients with conditions influenced by the wider, social determinants of health. Their main purpose is to connect people to community resources to meet their non-medical needs. However, our research reveals that link workers provide not only connections, but also what we have described as ‘holding’ for patients who have complex needs, who lack informal networks of support or who are waiting to access services. We explore the concept of holding, its meaning and significance in this context and its consequences.As part of a realist evaluation, we observed seven link workers in GP practices in England during focussed ethnographies over a three-week period. We took field notes and interviewed 61 patients and 93 healthcare professionals. Nine to twelve months later we carried out follow-up interviews with 41 patients, seven link workers and a link worker manager. We identified four functions of holding: supporting patients waiting for services, sustaining patients as they prepare for change, reducing the emotional burden of primary healthcare professionals, and bearing witness to patients’ distress. Holding appears to be a vital, but often overlooked aspect of social prescribing. Patients benefit from having a reliable and consistent person to support their emotional needs. However, similar to the impact of holding on other primary care professionals, there are unintended consequences: some link workers exceed their capacity, become over-burdened, experience burnout, and leave their job. Recognizing the importance of holding and understanding its role in link workers' primary care responsibilities are critical. If holding work is accepted as a role for link workers, providing training and support for them should be prioritized to ensure successful implementation and positive outcomes for patients, link workers and primary healthcare

Implementation of link workers in primary care: Synopsis of findings from a realist evaluation

Background Social prescribing link workers formed part of the Additional Roles Reimbursement Scheme introduced into primary care in England from 2019. Link workers assist patients experiencing issues affecting their health and well-being that are ‘non-medical’ (e.g. lack of social connections, financial difficulties and housing problems). They give patients space to consider these non-medical issues and, when relevant, connect them to support, often within the voluntary–community–social–enterprise sector. We conducted an earlier realist review on the link worker role in primary care. We then carried out a realist evaluation, described in this report, to address the question: When implementing link workers in primary care to sustain outcomes – what works, for whom, why and in what circumstances? Aim To develop evidence-based recommendations to optimise the implementation of link workers in primary care and to enable patients to receive the best support possible. Design A realist evaluation, involving two work packages. Setting Data were collected around seven link workers in different parts of England. Methods For work package 1, researchers spent 3 weeks with each link worker – going to meetings with them, watching them interact with patients, with healthcare professionals and with voluntary–community–social–enterprise staff. During this time, researchers had a daily debrief with the link worker, inviting them to reflect on their working day, and they collected relevant documents (e.g. job descriptions and information on social prescribing given to patients). They also conducted interviews with 93 primary care/voluntary–community–social–enterprise staff and 61 patients. As part of this work package, data on patient contact with a general practitioner before and after being referred to a link worker were collected. Work package 2 consisted of follow-up interviews (9–12 months later) with patients; 41 were reinterviewed. In addition, link workers were reinterviewed. A realist logic of analysis was used to test (confirm, refute or refine) the programme theory we developed from our realist review. Analysis explored connections between contexts, mechanisms and outcomes to explain how, why and in what circumstances the implementation of link workers might be beneficial (or not) to patients and/or healthcare delivery. Results We produced three papers from the research – one on link workers ‘holding’ patients, one on the role of discretion in their job, and another exploring patient-focused data and readiness to engage in social prescribing. Data from these papers were considered in relation to Normalisation Process Theory – a framework for conceptualising the implementation of new interventions into practice (e.g. link workers into primary care). By doing so, we identified infrastructural factors required to help link workers to: (1) offer person-centred care; (2) develop patients’ self-confidence, sense of hope and social capital; (3) facilitate appropriate general practitioner use; (4) foster job satisfaction among those delivering social prescribing. Discussion Our research highlighted the importance of a supportive infrastructure (including supervision, training, leadership/management, clarity about the role, link workers’ ability to use existing skills and knowledge and having capacity to connect with providers in the voluntary–community–social–enterprise sector) in order to produce person-centred care, to nurture hope, self-confidence and social capital among patients, to ensure they receive the right support (medical or non-medical), and to promote link workers’ job satisfaction. Data showed how link workers can contribute to the offer of holistic care beyond a purely medical lens of health and illness. Funding This synopsis presents independent research funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme as award number NIHR130247

Framework for identification and measurement of spillover effects in policy implementation: intended non-intended targeted non-targeted spillovers (INTENTS).

BACKGROUND: There is increasing awareness among researchers and policymakers of the potential for healthcare interventions to have consequences beyond those initially intended. These unintended consequences or "spillover effects" result from the complex features of healthcare organisation and delivery and can either increase or decrease overall effectiveness. Their potential influence has important consequences for the design and evaluation of implementation strategies and for decision-making. However, consideration of spillovers remains partial and unsystematic. We develop a comprehensive framework for the identification and measurement of spillover effects resulting from changes to the way in which healthcare services are organised and delivered. METHODS: We conducted a scoping review to map the existing literature on spillover effects in health and healthcare interventions and used the findings of this review to develop a comprehensive framework to identify and measure spillover effects. RESULTS: The scoping review identified a wide range of different spillover effects, either experienced by agents not intentionally targeted by an intervention or representing unintended effects for targeted agents. Our scoping review revealed that spillover effects tend to be discussed in papers only when they are found to be statistically significant or might account for unexpected findings, rather than as a pre-specified feature of evaluation studies. This hinders the ability to assess all potential implications of a given policy or intervention. We propose a taxonomy of spillover effects, classified based on the outcome and the unit experiencing the effect: within-unit, between-unit, and diagonal spillover effects. We then present the INTENTS framework: Intended Non-intended TargEted Non-Targeted Spillovers. The INTENTS framework considers the units and outcomes which may be affected by an intervention and the mechanisms by which spillover effects are generated. CONCLUSIONS: The INTENTS framework provides a structured guide for researchers and policymakers when considering the potential effects that implementation strategies may generate, and the steps to take when designing and evaluating such interventions. Application of the INTENTS framework will enable spillover effects to be addressed appropriately in future evaluations and decision-making, ensuring that the full range of costs and benefits of interventions are correctly identified

How can we evaluate the cost-effectiveness of health system strengthening? A typology and illustrations

Health interventions often depend on a complex system of human and capital infrastructure that is shared with other interventions, in the form of service delivery platforms, such as healthcare facilities, hospitals, or community services. Most forms of health system strengthening seek to improve the efficiency or effectiveness of such delivery platforms. This paper presents a typology of ways in which health system strengthening can improve the economic efficiency of health services. Three types of health system strengthening are identified and modelled: (1) investment in the efficiency of an existing shared platform that generates positive benefits across a range of existing interventions; (2) relaxing a capacity constraint of an existing shared platform that inhibits the optimization of existing interventions; (3) providing an entirely new shared platform that supports a number of existing or new interventions. Theoretical models are illustrated with examples, and illustrate the importance of considering the portfolio of interventions using a platform, and not just piecemeal individual analysis of those interventions. They show how it is possible to extend principles of conventional cost-effectiveness analysis to identify an optimal balance between investing in health system strengthening and expenditure on specific interventions. The models developed in this paper provide a conceptual framework for evaluating the cost-effectiveness of investments in strengthening healthcare systems and, more broadly, shed light on the role that platforms play in promoting the cost-effectiveness of different interventions