Zoekresultaten

A Research Pathway Model for evaluating the implementation of practice-based research

This study explores the evaluation of research pathways of self-management health innovations from discovery to implementation in the context of practice-based research. The aim is to understand how a new process model for evaluating practice-based research provides insights into the implementation success of innovations. Data were collected from nine research projects in the Netherlands. Through document analysis and semi-structured interviews, we analysed how the projects start, evolve, and contribute to the healthcare practice. Building on previous research evaluation approaches to monitor knowledge utilization, we developed a Research Pathway Model. The model’s process character enables us to include and evaluate the incremental work required throughout the lifespan of an innovation project and it helps to foreground that innovation continues during implementation in real-life settings. We found that in each research project, pathways are followed that include activities to explore a new solution, deliver a prototype and contribute to theory. Only three projects explored the solution in real life and included activities to create the necessary changes for the solutions to be adopted. These three projects were associated with successful implementation. The exploration of the solution in a real-life environment in which users test a prototype in their own context seems to be a necessary research activity for the successful implementation of self-management health innovations.

Open for Business: Pathways to strengthen CGIAR's responsible engagement with the private sector

Involving “authentic” cancer patients, their caregivers, and multidisciplinary professionals in a quality improvement trajectory in a hospital cancer pathway

Introduction: The implementation of oncology care pathways that standardize organizational procedures has improved cancer care in recent years. However, the involvement of “authentic” patients and caregivers in quality improvement of these predetermined pathways is in its infancy, especially the scholarly reflection on this process. We, therefore, aim to explore the multidisciplinary challenges both in practice, when cancer patients, their caregivers, and a multidisciplinary team of professionals work together on quality improvement, as well as in our research team, in which a social scientist, health care professionals, health care researchers, and experience experts design a research project together. Methods and design: Experience-based co-design will be used to involve cancer patients and their caregivers in a qualitative research design. In-depth open discovery interviews with 12 colorectal cancer patients, 12 breast cancer patients, and seven patients with cancer-associated thrombosis and their caregivers, and focus group discussions with professionals from various disciplines will be conducted. During the subsequent prioritization events and various co-design quality improvement meetings, observational field notes will be made on the multidisciplinary challenges these participants face in the process of co-design, and evaluation interviews will be done afterwards. Similar data will be collected during the monthly meetings of our multidisciplinary research team. The data will be analyzed according to the constant comparative method. Discussion: This study may facilitate quality improvement programs in oncologic care pathways, by increasing our real-world knowledge about the challenges of involving “experience experts” together with a team of multidisciplinary professionals in the implementation process of quality improvement. Such co-creation might be challenging due to the traditional paternalistic relationship, actual disease-/treatment-related constraints, and a lack of shared language and culture between patients, caregivers, and professionals and between professionals from various disciplines. These challenges have to be met in order to establish equality, respect, team spirit, and eventual meaningful participation.

Corporate social responsibility, governance and stakeholders: a bank in the upbeat of the crisis

Purpose: Using the global financial crisis as a critical event and based on institutional theory and stakeholder theory, this paper aims to explore the relationship between corporate governance and corporate social responsibility (CSR). The question is how stakeholders can influence corporate responses to societal change by using their position in the governance structure. Design/methodology/approach: The analysis is based on a historical analysis of data collected mainly between 2002 and 2004. The historical perspective enables an understanding of the response of the company to environmental changes. Findings: The approach enables researchers to relate the normative component of CSR to specific governance mechanisms. These governance mechanisms are specified in direct and indirect influence pathways. Historical data shed light on how, in the upbeat of the crisis, stakeholders have influenced the principles and policies of the ING Group, a Dutch financial company. Research limitations/implications: The paper suggests that stakeholders influence principles – normative assumptions that guide corporate decisions – mainly in dialogue-based meetings (direct influence pathways). Companies are made accountable in indirect influence pathways such as regulations. The author also demonstrates that a historical approach enables an understanding of long-term historical developments and the linking of corporate policies to the normative assumptions of stakeholders. Practical implications: If stakeholders wish to assess the social responsibility of a company, then they should assess the governance structure in relation to the principles and policies. The power structure within a company and that within the institutional framework in which the company operates (the governance system) strongly influences how a company executes its social responsibilities. Social implications: The paper demonstrates how stakeholders can use the governance structure to influence a bank. If society – or a specific group in society – wants banks to play a different role, this paper points to what could be the levers of change in the governance system and the governance structure. Originality/value: Insights into the complex relationship between corporate governance and the processes in which the social responsibilities of a company are developed.

Who supplies digital surveillance technologies to African governments?

African citizens are increasingly being surveilled, profiled, and targeted online in ways that violate their rights. African governments frequently use pandemic or terrorism-related security risks to grant themselves additional surveillance rights and significantly increase their collection of monitoring apparatus and technologies while spending billions of dollars to conduct surveillance (Roberts et al. 2023). Surveillance is a prominent strategy African governments use to limit civic space (Roberts and Mohamed Ali 2021). Digital technologies are not the root of surveillance in Africa because surveillance practices predate the digital age (Munoriyarwa and Mare 2023). Surveillance practices were first used by colonial governments, continued by post-colonial governments, and are currently being digitalized and accelerated by African countries. Throughout history, surveillance has been passed down from colonizers to liberators, and some African leaders have now automated it (Roberts et al. 2023). Many studies have been conducted on illegal state surveillance in the United States, China, and Europe (Feldstein 2019; Feldstein 2021). Less is known about the supply of surveillance technologies to Africa. With a population of almost 1.5 billion people, Africa is a continent where many citizens face surveillance with malicious intent. As mentioned in previous chapters, documenting the dimensions and drivers of digital surveillance in Africa is

Natural language processing in toxicology: Delineating adverse outcome pathways and guiding the application of new approach methodologies

Adverse Outcome Pathways (AOPs) are conceptual frameworks that tie an initial perturbation (molecular initiat- ing event) to a phenotypic toxicological manifestation (adverse outcome), through a series of steps (key events). They provide therefore a standardized way to map and organize toxicological mechanistic information. As such, AOPs inform on key events underlying toxicity, thus supporting the development of New Approach Methodologies (NAMs), which aim to reduce the use of animal testing for toxicology purposes. However, the establishment of a novel AOP relies on the gathering of multiple streams of evidence and infor- mation, from available literature to knowledge databases. Often, this information is in the form of free text, also called unstructured text, which is not immediately digestible by a computer. This information is thus both tedious and increasingly time-consuming to process manually with the growing volume of data available. The advance- ment of machine learning provides alternative solutions to this challenge. To extract and organize information from relevant sources, it seems valuable to employ deep learning Natural Language Processing techniques. We review here some of the recent progress in the NLP field, and show how these techniques have already demonstrated value in the biomedical and toxicology areas. We also propose an approach to efficiently and reliably extract and combine relevant toxicological information from text. This data can be used to map underlying mechanisms that lead to toxicological effects and start building quantitative models, in particular AOPs, ultimately allowing animal-free human-based hazard and risk assessment.