Framework, principles and recommendations for utilising participatory methodologies in the co-creation and evaluation of public health interventions

Background: Due to the chronic disease burden on society, there is a need for preventive public health interventions to stimulate society towards a healthier lifestyle. To deal with the complex variability between individual lifestyles and settings, collaborating with end-users to develop interventions tailored to their unique circumstances has been suggested as a potential way to improve effectiveness and adherence. Co-creation of public health interventions using participatory methodologies has shown promise but lacks a framework to make this process systematic. The aim of this paper was to identify and set key principles and recommendations for systematically applying participatory methodologies to co-create and evaluate public health interventions. Methods: These principles and recommendations were derived using an iterative reflection process, combining key learning from published literature in addition to critical reflection on three case studies conducted by research groups in three European institutions, all of whom have expertise in co-creating public health interventions using different participatory methodologies. Results: Key principles and recommendations for using participatory methodologies in public health intervention co-creation are presented for the stages of: Planning (framing the aim of the study and identifying the appropriate sampling strategy); Conducting (defining the procedure, in addition to manifesting ownership); Evaluating (the process and the effectiveness) and Reporting (providing guidelines to report the findings). Three scaling models are proposed to demonstrate how to scale locally developed interventions to a population level. Conclusions: These recommendations aim to facilitate public health intervention co-creation and evaluation utilising participatory methodologies by ensuring the process is systematic and reproducible

Methods for enhanced learning using wearable technologies. A study of the maritime sector

Maritime safety is a critical concern due to the potential for serious consequences or accidents for the crew, passengers, environment, and assets resulting from navigation errors or unsafe acts. Traditional training methods face challenges in the rapidly evolving maritime industry, and innovative training methods are being explored. This study explores the use of wearable sensors with biosignal data collection to improve training performance in the maritime sector. Three experiments were conducted progressively to investigate the relationship between navigators' experience levels and biosignal data results, the effects of different training methods on cognitive workload, trainees' stress levels, and their decision-making skills, and the classification of scenario complexity and the biosignal data obtained by the trainees. questionnaire data on stress levels, workload, and user satisfaction of auxiliary training equipment; performance evaluation data on navigational abilities, decision-making skills, and ship-handling abilities; and biosignal data, including electrodermal activity (EDA), body temperature, blood volume pulse (BVP), inter-beat interval (IBI), and heart rate (HR). Several statistical methods and machine-learning algorithms were used in the data analysis. The present dissertation contributes to the advancement of the field of maritime education and training by exploring methods for enhancing learning in complex situations. The use of biosignal data provides insights into the interplay between stress levels and training outcomes in the maritime industry. The proposed conceptual training model underscores the relationship between trainees' stress and safety factors and offers a framework for the development and evaluation of advanced biosignal data-based training systems

Managing A Paradox–Design Principles for Executives’ IT Support

How are companies managed today and what part does state-of-the-art IT play? Executive information systems (EIS) should support top managers in managing their companies. But many executives complain that EIS bear little relevance to their management task (functional requirements) and fail even more to accommodate their working style (design requirements). This article focuses on the latter and contributes to new-generation EIS by identifying twelve principles for their design. The first step in doing so is to systematically develop requirements criteria for EIS design. On this point, our research revealed a twofold gap: as the rigor of scientific models (e.g. structural models of IS user satisfaction and technology acceptance) increases, they become less relevant for direct use in practice. At the same time, practitioner journals demonstrate relevance, but do not evidence strong rigor. Linking the requirements criteria with rigor and relevance, this article applies the principle of economic efficiency. In a second step, using that schema, design principles for new-generation EIS are derived. They are based on gaps identified in an empirical study and the findings of four instantiations within the chemicals, logistics, high-tech, and automotive supplier industries

Reverse Logistics Optimization

The purpose of the Reverse Logistic Optimization project is to achieve best in class logistics and repair capabilities by integrating with an insurance providing company as a reverse logistics return center for remorse returns for all channels to a cellular providing company. Product recovery, which comprises return, refurbish and repair processes, requires an efficient reverse logistic network. One of the main characteristics of reverse logistics network problem is uncertainty that further amplifies the complexity of the problem. The degree of uncertainty in terms of the capacities, demands and quantity of products exists in reverse logistics parameters. The goal is to expedite the repair process, leverage their dynamic handling of blind receipts and improved Reverse Logistics Planning–Repair Plan and Kitting Plan to optimize cost and provide new opportunities for revenue creation. The benefits of integration and control will reduce costs in megabucks by optimizing the return, refurbish and repair processes. Very nearly all organizations expect an increment of administration consideration for reverse logistics, and the results demonstrate a substantial potential regarding outsider administration suppliers, including choice help devices around there. Besides, the paper also presents the analyzed hidden reasons for the general low turn around logistics execution and call attention to issues that need change

After the hype: e-commerce payments grow up

On June 18, 2003, the Payment Cards Center of the Federal Reserve Bank of Philadelphia and the Electronic Commerce Payments Council (eCPC) of the Electronic Funds Transfer Association co-hosted a workshop forum to explore areas of mutual interest related to the proliferation of e-commerce payments. This was the second event jointly sponsored by the groups. ; The first forum, “The Future of e-Commerce Payments,” which was held in June 2002, focused on the possibilities ahead, as various electronic payment channels displace paper checks as a primary payment form. The more recent forum, “After the Hype: e-Commerce Payments Grow Up,” continued the dialog, emphasizing recent economic and marketplace realities that impact ecommerce payments innovation, acceptance, and maturation. ; Participants and speakers included Federal Reserve staff and industry leaders.Electronic commerce

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Critical success factors in a dashboard implementation project : Case: Division-level dashboard implementation in Group Plc

The purpose of this thesis was to study a dashboard implementation project and the critical success factors that are related to the success of the project. Dashboards are tools for reporting and performance management that can be used to provide critical information to decision-makers in a visual and interactive format. Critical success factors were chosen as the focus for the study because of a lack of former research on their use with dashboards. The study is a qualitative case study and it was conducted in one division of a large manufacturing company. The division was in the process of implementing a new dashboard. Data was gathered through taking part in the implementation project and by interviewing project members and other stakeholders. The analysis of the critical success factors was conducted by comparing them to the factors found from earlier dashboard literature, as well as from other technology implementation literature e.g. the balanced scorecard. The aim was to find out which factors are the most critical ones, why they are critical and what does dashboard implementation mean for an organization. As a result a framework of 17 critical success factors was created. The results indicate that in terms of critical success factors, dashboard implementation shares many similarities with other technology implementation projects. The most often mentioned factors from earlier literature – such as top management support, user involvement and data quality – are also critical in dashboard implementation. User acceptance is the most important issue in technology implementation, and most of the success factors are related to gaining it. Focusing solely on technological factors will lead to problems especially for a tool that is meant for wide use. Factors related to visualization and how quickly information can be relayed to users are of special importance for dashboards. While the case project was small budget-wise, the tool is expected to bring significant improvements to working and reporting practices through e.g. automation and standardization. The increase in the type of technology the dashboard represents is seen as inevitable in the organization. Implementing a dashboard is an extensive project, and defining critical factors in all the different phases of the project may help the organization to succeed better

A Survey on Modeling of Human States in Communication Behavior

The Technical Committee on Communication BehaviorEngineering addresses the research question How do we construct a com-munication network system that includes users?. The growth in highlyfunctional networks and terminals has brought about greater diversity inusers\u27 lifestyles and freed people from the restrictions of time and place.Under this situation, the similarities of human behavior cause traffic aggre-gation and generate new problems in terms of the stabilization of networkservice quality. This paper summarizes previous studies relevant to com-munication behavior from a multidisciplinary perspective and discusses theresearch approach adopted by the Technical Committee on CommunicationBehavior Engineering

SUPPORTING MISSION PLANNING WITH A PERSISTENT AUGMENTED ENVIRONMENT

Includes supplementary materialIncludes Supplementary MaterialThe Department of the Navy relies on current naval practices such as briefs, chat, and voice reports to provide an overall operational assessment of the fleet. That includes the cyber domain, or battlespace, depicting a single snapshot of a ship’s network equipment and service statuses. However, the information can be outdated and inaccurate, creating confusion among decision-makers in understanding the service and availability of equipment in the cyber domain. We examine the ability of a persistent augmented environment (PAE) and 3D visualization to support communications and cyber network operations, reporting, and resource management decision-making. We designed and developed a PAE prototype and tested the usability of its interface. Our study examined users’ comprehension of 3D visualization of the naval cyber battlespace onboard multiple ships and evaluated the PAE’s ability to assist in effective mission planning at the tactical level. The results are highly encouraging: the participants were able to complete their tasks successfully. They found the interface easy to understand and operate, and the prototype was characterized as a valuable alternative to their current practices. Our research provides close insights into the feasibility and effectiveness of the novel form of data representation and its capability to support faster and improved situational awareness and decision-making in a complex operational technology (OT) environment between diverse communities.Lieutenant, United States NavyLieutenant, United States NavyApproved for public release. Distribution is unlimited