Healthcare-associated infections (HAIs) represent a major global health burden, which necessitate effective frameworks to identify potential risk factors and estimate the corresponding direct economic disease burden. In this article, we proposed a framework designed to address these needs through a case study conducted in a Tuberculosis (TB) hospital in Hubei Province, China, using data from 2018 to 2019. A comprehensive multistep procedure was developed, including ethical application, participant inclusion, risk factor identification, and direct economic disease burden estimation. In the case study, ethical approval was obtained, and patient data were anonymized to ensure privacy. All TB hospitalized patients over the study period were included and classified into groups with and without HAIs after screening the inclusion and exclusion criteria. Key risk factors, including gender, age, and invasive procedure were identified through univariate and multivariate analyses. Then, propensity score matching was employed to select the balanced groups with similar characteristics. Comparisons of medical expenditures (total medical expenditure, medicine expenditure, and antibiotics expenditure) and hospitalization days between the balanced groups were calculated as the additional direct economic disease burden measures caused by HAIs. This framework can serve as a tool for not only hospital management and policy-making, but also implementation of targeted infection prevention and control measures. Moreover, it has the potential to be applied in various healthcare settings at local, regional, national, and international levels to identify high-risk areas, optimize resource allocation, and improve hospital management and governance, as well as inter-organizational learning. Challenges to implement the framework are also raised, such as data quality, regulatory compliance, considerations on unique nature of communicable diseases and other diseases, and training need for professionals.

Researchers have documented multiple stressors and mental health problems along the journey of refugees as they are displaced to seek refuge in nearby and remote host countries. This article examines published research on Syrian refugees to propose a framework to conceptualize Syrian refugees\' pre- and post-stressors and their collective impact on their mental health. The proposed framework provides a comprehensive understanding of the interconnected pathways between pre-displacement stressors, post-displacement stressors, and mental health outcomes for Syrian refugees. Pre-displacement stressors are best captured by the concept of trauma centrality and emotional suppression. Post-displacement stressors, categorized under financial, political, and social themes, have a direct impact on the mental health of the refugees, but could also play a partial mediating role on the impact of pre-displacement stressors on mental health. The framework suggests a direct pathway between the experience of war-related traumatic events and mental health and introduces the country of residence as a potential moderator of the severity of mental health. The latter is primarily influenced by local policies and the host communities\' acceptance of refugees. We believe that the proposed framework can guide the work of researchers, policymakers, and practitioners concerned with the mental health and well-being of Syrian refugees. Additionally, although based on the experience of Syrian refugees, it presents a holistic perspective that could be adapted in other refugee settings.

BACKGROUND: Recent reports of artemisinin partial resistance from Rwanda and Uganda are worrisome and suggest a future policy change to adopt new anti-malarials. This is a case study on the evolution, adoption, and implementation of new anti-malarial treatment policies in Nigeria. The main objective is to provide perspectives to enhance the future uptake of new anti-malarials, with an emphasis on stakeholder engagement strategies.
METHODS: This case study is based on an analysis of policy documents and stakeholders\' perspectives drawn from an empirical study conducted in Nigeria, 2019-2020. A mixed methods approach was adopted, including historical accounts, review of programme and policy documents, and 33 qualitative in-depth interviews and 6 focus group discussions.
RESULTS: Based on policy documents reviewed, the adoption of artemisinin-based combination therapy (ACT) in Nigeria was swift due to political will, funding and support from global developmental partners. However, the implementation of ACT was met with resistance from suppliers, distributors, prescribers, and end-users, attributed to market dynamics, costs and inadequate stakeholder engagement. Deployment of ACT in Nigeria witnessed increased developmental partner support, robust data generation, ACT case-management strengthening and evidence on anti-malarial use in severe malaria and antenatal care management. A framework for effective stakeholder engagement for the future adoption of new anti-malarial treatment strategies was proposed. The framework covers the pathway from generating evidence on drug efficacy, safety and uptake; to making treatment accessible and affordable to end-users. It addresses which stakeholders to engage with and the content of engagement strategies with key stakeholders at different levels of the transition process.
CONCLUSIONS: Early and staged engagement of stakeholders from global bodies to community level end-users is critical to the successful adoption and uptake of new anti-malarial treatment policies. A framework for these engagements was proposed as a contribution to enhancing the uptake of future anti-malarial strategies.

Availability and accessibility are important preconditions for using real-world patient data across organizations. To facilitate and enable the analysis of data collected at a large number of independent healthcare providers, syntactic- and semantic uniformity need to be achieved and verified. With this paper, we present a data transfer process implemented using the Data Sharing Framework to ensure only valid and pseudonymized data is transferred to a central research repository and feedback on success or failure is provided. Our implementation is used within the CODEX project of the German Network University Medicine to validate COVID-19 datasets at patient enrolling organizations and securely transfer them as FHIR resources to a central repository.

UNASSIGNED: Role extension into novel areas of ultrasound practice can be challenging for health care professionals. Expansion into existing areas of advanced practice typically occurs using established processes and accredited training; however, in areas where there is no formal training, there can be a lack of support for how to develop new and progressive clinical roles.
UNASSIGNED: This article presents how the use of a framework approach for establishing areas of advanced practice can support individuals and departments with safely and successfully developing new roles in ultrasound. The authors illustrate this via the example of a gastrointestinal ultrasound role, developed in an NHS department.
UNASSIGNED: The framework approach comprises three elements, each interdependent upon and inform each other: (A) Scope of practice, (B) Education and competency and (C) Governance. (A) Defines (and communicates) the role extension and area(s) of subsequent ultrasound imaging, interpretation and reporting. By identifying the why, how and what is required this informs (B) the education and assessment of competency for those taking on new roles or areas of expertise. (C) Is informed by (A) and is an ongoing process of quality assurance to safeguard high standards in clinical care. In supporting role extension, this approach can facilitate new workforce configurations, skill expansion and enable increasing service demands to be met.
UNASSIGNED: By defining and aligning the components of scope of practice, education/competency and governance, role development in ultrasound can be initiated and sustained. Role extension utilising this approach brings benefits for patients, clinicians and departments.

Formative evaluation is a crucial strategy for health promotion program improvement. Early and ongoing formative evaluation can make a major impact on program outcomes; however, there are few frameworks that provide actual guidance on how programmatic or research teams can systematically perform this kind of important work. In this article we describe the use of an iterative real-time interview feedback framework we developed for Check It, a community-wide chlamydia screening and treatment program for young African American men in New Orleans, Louisiana. The framework considers the diverse and needed perspectives of multiple stakeholders, including participants, interviewers, transcribers, program staff, and lead researchers and/or administrators. Interviews were conducted with N = 15 Check It participants utilizing this approach. Employing the framework led to critical insights that resulted in several vital programmatic and evaluation improvements. Lessons learned, including strengths and challenges of utilizing the framework, are also shared so that this model can be replicated or adapted by program planning and evaluation professionals for other kinds of programs.

Within One Health, research translation is a dynamic process involving collaboration and communication between the human, animal, and environmental health sectors to create and apply research findings to address health threats at the human-animal-environment interface. Research translation is essential for the creation of evidence-based policies and programs for the prevention and control of infectious diseases and other health threats, and thus is an important component of a robust national capacity to effectively prevent, control, and mitigate biological incidents. However, there is a lack of conceptual guidance and training materials for research translation in a One Health context. To address this need, we developed a novel One Health Research Translation Framework that describes an iterative process for research and policy stakeholders to collaborate to design and implement research applications addressing One Health zoonotic disease challenges. In addition, we developed accompanying training materials to validate the Framework and facilitate capacity building for understanding and applying research translation concepts to zoonotic disease threats. The training materials consist of exercises to map One Health communication pathways and literature-based case studies on research translation to address zoonotic disease concerns. The Framework and training materials were piloted with Egyptian One Health stakeholders at a workshop in Cairo in 2018. The outcomes of the workshop validated the comprehensiveness and applicability of the Framework and training materials, as participants were able to demonstrate a firm understanding of research translation processes and successfully apply research translation and One Health concepts to real-world zoonotic disease scenarios. Overall, the Framework and accompanying training materials address an important gap in capacity building for One Health stakeholders and are valuable tools for strengthening research translation networks that promote development of innovative, evidence-based solutions to One Health zoonotic disease threats.

BACKGROUND: Implementation science aims to accelerate the public health impact of evidence-based interventions. However, implementation science has had too little focus on the role of health policy - and its inseparable politics, polity structures, and policymakers - in the implementation and sustainment of evidence-based healthcare. Policies can serve as determinants, implementation strategies, the evidence-based \"thing\" to be implemented, or another variable in the causal pathway to healthcare access, quality, and patient outcomes. Research describing the roles of policy in dissemination and implementation (D&I) efforts is needed to resolve persistent knowledge gaps about policymakers\' evidence use, how evidence-based policies are implemented and sustained, and methods to de-implement policies that are ineffective or cause harm. Few D&I theories, models, or frameworks (TMF) explicitly guide researchers in conceptualizing where, how, and when policy should be empirically investigated. We conducted and reflected on the results of a scoping review to identify gaps of existing Exploration, Preparation, Implementation, and Sustainment (EPIS) framework-guided policy D&I studies. We argue that rather than creating new TMF, researchers should optimize existing TMF to examine policy\'s role in D&I. We describe six recommendations to help researchers optimize existing D&I TMF. Recommendations are applied to EPIS, as one example for advancing TMF for policy D&I.
CONCLUSIONS: (1) Specify dimensions of a policy\'s function (policy goals, type, contexts, capital exchanged). (2) Specify dimensions of a policy\'s form (origin, structure, dynamism, outcomes). (3) Identify and define the nonlinear phases of policy D&I across outer and inner contexts. (4) Describe the temporal roles that stakeholders play in policy D&I over time. (5) Consider policy-relevant outer and inner context adaptations. (6) Identify and describe bridging factors necessary for policy D&I success.
CONCLUSIONS: Researchers should use TMF to meaningfully conceptualize policy\'s role in D&I efforts to accelerate the public health impact of evidence-based policies or practices and de-implement ineffective and harmful policies. Applying these six recommendations to existing D&I TMF advances existing theoretical knowledge, especially EPIS application, rather than introducing new models. Using these recommendations will sensitize researchers to help them investigate the multifaceted roles policy can play within a causal pathway leading to D&I success.

Globally, mental illness and substance use disorders are the leading cause of disability and disease burden for young people. Orygen is an Australian youth mental health organisation with a mission to reduce the impact of mental ill health on young people, families and society, through research, clinical services, advocacy, and the design and delivery of youth mental health workforce and service development initiatives. Orygen is one of only a few known research and clinical centres with a dedicated knowledge translation division, which concentrates on growing the capacity of the systems, services, and professionals who support young people experiencing mental ill health. This paper provides a case study of the workforce development team within the Orygen knowledge translation, outlining how implementation science informs their work and how the division has adapted its model in the face of COVID-19. Since 2017, the team has delivered training to more than 4000 youth mental health workers across Australia, on the topics of trauma, psychosis, mood and anxiety disorders, brief interventions, cognition and other areas of youth mental health. The COVID-19 pandemic generated abrupt and dramatic changes to the delivery of workforce and service development initiatives in Australia due to significant restrictions to travel and in-person events. It also placed major delivery demands on youth mental health services. This paper outlines how the team at Orygen adapted their approach to youth mental health workforce development in response to COVID-19, offering reflections and future directions for implementation science that can support flexible models of support in a changing system.

Innovative, groundbreaking science relies upon preliminary studies (aka pilot, feasibility, proof-of-concept). In the behavioral sciences, almost every large-scale intervention is supported by a series of one or more rigorously conducted preliminary studies. The importance of preliminary studies was established by the National Institutes of Health (NIH) in 2014/2015 in two translational science frameworks (NIH Stage and ORBIT models). These frameworks outline the essential role preliminary studies play in developing the next generation of evidence-based behavioral prevention and treatment interventions. Data produced from preliminary studies are essential to secure funding from the NIH\'s most widely used grant mechanism for large-scale clinical trials, namely the R01. Yet, despite their unquestionable importance, the resources available for behavioral scientists to conduct rigorous preliminary studies are limited. In this commentary, we discuss ways the existing funding structure at the NIH, despite its clear reliance upon high-quality preliminary studies, inadvertently discourages and disincentivizes their pursuit by systematically underfunding them. We outline how multiple complementary and pragmatic steps via a small reinvestment of funds from larger trials could result in a large increase in funding for smaller preliminary studies. We make the case such a reinvestment has the potential to increase innovative science, increase the number of investigators currently funded, and would yield lasting benefits for behavioral science and scientists alike.