28 research outputs found
Engaging national organizations for knowledge translation: Comparative case studies in knowledge value mapping
<p>Abstract</p> <p>Background</p> <p>Government sponsors of research and development, along with their funded investigators, are increasingly tasked with demonstrating evidence of knowledge use by nontraditional audiences. This requires efforts to translate their findings for effective communication. For technology-related knowledge, these audiences include clinicians, consumers, manufacturers, public policy agencies, and knowledge brokers. One potentially efficient approach is to communicate research findings through relevant national organizations. However, this requires an understanding of how such organizations view and treat research knowledge, which can be determined through knowledge-value mapping. Do knowledge values differ between national organizations representing different audiences? Can a deeper understanding of knowledge values help sponsors, investigators, and organizations better communicate research findings to stakeholders?</p> <p>Methods</p> <p>A series of comparative case studies on knowledge-value mapping were derived through interviews with spokespersons for six national organizations. The semi-structured interviews followed a 10-item questionnaire to characterize different ways in which each organization engages with research-based knowledge. Each participating organization represents a particular stakeholder group, while all share a common interest in the research subject matter.</p> <p>Results</p> <p>Each national organization considers the value of the research knowledge in the context of their organization's mission and the interests of their members. All are interested in collaborating with researchers to share relevant findings, while they vary along the following dimensions of knowledge engagement: create, identify, translate, adapt, communicate, use, promote, absorptive capacity, and recommendations for facilitation.</p> <p>Conclusions</p> <p>The principles of knowledge translation suggest that investigators can increase use by tailoring the format and context of their findings to the absorptive capacity of nonscholars. Greater absorption should result in higher levels of knowledge awareness, interest, and use, which can then be documented. National organizations and their members, in turn, can strive to optimize their absorptive capacities regarding the state of the sciences. This combination will ensure the highest possible return on public investment in research activities. This knowledge-value mapping study concludes that national organizations are appropriate channels for communicating research findings and for meeting statutory requirements and general expectations for generating and documenting knowledge use.</p
Translating three states of knowledge--discovery, invention, and innovation
<p>Abstract</p> <p>Background</p> <p>Knowledge Translation (KT) has historically focused on the proper use of knowledge in healthcare delivery. A knowledge base has been created through empirical research and resides in scholarly literature. Some knowledge is amenable to direct application by stakeholders who are engaged during or after the research process, as shown by the Knowledge to Action (KTA) model. Other knowledge requires multiple transformations before achieving utility for end users. For example, conceptual knowledge generated through science or engineering may become embodied as a technology-based invention through development methods. The invention may then be integrated within an innovative device or service through production methods. To what extent is KT relevant to these transformations? How might the KTA model accommodate these additional development and production activities while preserving the KT concepts?</p> <p>Discussion</p> <p>Stakeholders adopt and use knowledge that has perceived utility, such as a solution to a problem. Achieving a technology-based solution involves three methods that generate knowledge in three states, analogous to the three classic states of matter. Research activity generates discoveries that are intangible and highly malleable like a gas; development activity transforms discoveries into inventions that are moderately tangible yet still malleable like a liquid; and production activity transforms inventions into innovations that are tangible and immutable like a solid. The paper demonstrates how the KTA model can accommodate all three types of activity and address all three states of knowledge. Linking the three activities in one model also illustrates the importance of engaging the relevant stakeholders prior to initiating any knowledge-related activities.</p> <p>Summary</p> <p>Science and engineering focused on technology-based devices or services change the state of knowledge through three successive activities. Achieving knowledge implementation requires methods that accommodate these three activities and knowledge states. Accomplishing beneficial societal impacts from technology-based knowledge involves the successful progression through all three activities, and the effective communication of each successive knowledge state to the relevant stakeholders. The KTA model appears suitable for structuring and linking these processes.</p
How should we assess knowledge translation in research organizations; designing a knowledge translation self-assessment tool for research institutes (SATORI)
<p>Abstract</p> <p>Background</p> <p>The knowledge translation self-assessment tool for research institutes (SATORI) was designed to assess the status of knowledge translation in research institutes. The objective was, to identify the weaknesses and strengths of knowledge translation in research centres and faculties associated with Tehran University of Medical Sciences (TUMS).</p> <p>Methods</p> <p>The tool, consisting of 50 statements in four main domains, was used in 20 TUMS-affiliated research centres and departments after its reliability was established. It was completed in a group discussion by the members of the research council, researchers and research users' representatives from each centre and/or department.</p> <p>Results</p> <p>The mean score obtained in the four domains of 'The question of research', 'Knowledge production', 'Knowledge transfer' and 'Promoting the use of evidence' were 2.26, 2.92, 2 and 1.89 (out of 5) respectively.</p> <p>Nine out of 12 interventional priorities with the lowest quartile score were related to knowledge transfer resources and strategies, whereas eight of them were in the highest quartile and related to 'The question of research' and 'Knowledge production'.</p> <p>Conclusions</p> <p>The self-assessment tool identifies the gaps in capacity and infrastructure of knowledge translation support within research organizations. Assessment of research institutes using SATORI pointed out that strengthening knowledge translation through provision of financial support for knowledge translation activities, creating supportive and facilitating infrastructures, and facilitating interactions between researchers and target audiences to exchange questions and research findings are among the priorities of research centres and/or departments.</p
What is and isnāt working: Factors involved in sustaining community-based health and participation initiatives for people aging with intellectual and developmental disabilities
As people with intellectual and developmental disabilities (I/DD) age it is important that I/DD agencies are prepared to support healthy aging in homes and in communities. This study explored supports and barriers to sustaining community-based health and participation initiatives (CBHPI) for people aging with I/DD living in group homes managed by agencies. The study utilized interviews and photovoice with 70 participantsā35 individuals with I/DD and 35 management/direct support agency staff. Data were analyzed through content analysis and triangulation of data where five themes emerged: Agency values and policies related to healthy aging; resources and staff competencies; communication between management and staff; community/university partnerships; peer relations. Findings show that I/DD agencies and people with I/DD value CBHPI, but they find them difficult to sustain due to limited resources and lack of training specific to aging with I/DD
Experiences of handwriting and using a computerized ATD in school: Adolescents with Asperger's syndrome
Institutional capacity for health systems research in East and Central African schools of public health: knowledge translation and effective communication
BACKGROUND: Local health systems research (HSR) provides policymakers and practitioners with contextual, evidence-based solutions to health problems. However, producers and users of HSR rarely understand the complexities of the context within which each operates, leading to the āknowādoā gap. Universities are well placed to conduct knowledge translation (KT) integrating research production with uptake. The HEALTH Alliance Africa Hub, a consortium of seven schools of public health (SPHs) in East and Central Africa, was formed to build capacity in HSR. This paper presents information on the capacity of the various SPHs to conduct KT activities.
METHODS: In 2011, each member of the Africa Hub undertook an institutional HSR capacity assessment using a context-adapted and modified self-assessment tool. KT capacity was measured by several indicators including the presence of a KT strategy, an organizational structure to support KT activities, KT skills, and institutional links with stakeholders and media. Respondents rated their opinions on the various indicators using a 5-point Likert scale. Averages across all respondents for each school were calculated. Thereafter, each school held a results validation workshop.
RESULTS: A total of 123 respondents from all seven SPHs participated. Only one school had a clear KT strategy; more commonly, research was disseminated at scientific conferences and workshops. While most respondents perceived their SPH as having strong institutional ties with organizations interested in HSR as well as strong institutional leadership, the organizational structures required to support KT activities were absent. Furthermore, individual researchers indicated that they had little time or skills to conduct KT. Additionally, institutional and individual links with policymakers and media were reported as weak.
CONCLUSIONS: Few SPHs in Africa have a clear KT strategy. Strengthening the weak KT capacity of the SPHs requires working with institutional leadership to develop KT strategies designed to guide organizational structure and development of networks with both the media and policymakers to improve research uptake.DFI
Knowledge translation within a population health study: how do you do it?
BACKGROUND Despite the considerable and growing body of knowledge translation (KT) literature, there are few methodologies sufficiently detailed to guide an integrated KT research approach for a population health study. This paper argues for a clearly articulated collaborative KT approach to be embedded within the research design from the outset. DISCUSSION Population health studies are complex in their own right, and strategies to engage the local community in adopting new interventions are often fraught with considerable challenges. In order to maximise the impact of population health research, more explicit KT strategies need to be developed from the outset. We present four propositions, arising from our work in developing a KT framework for a population health study. These cover the need for an explicit theory-informed conceptual framework; formalizing collaborative approaches within the design; making explicit the roles of both the stakeholders and the researchers; and clarifying what counts as evidence. From our deliberations on these propositions, our own co-creating (co-KT) Framework emerged in which KT is defined as both a theoretical and practical framework for actioning the intent of researchers and communities to co-create, refine, implement and evaluate the impact of new knowledge that is sensitive to the context (values, norms and tacit knowledge) where it is generated and used. The co-KT Framework has five steps. These include initial contact and framing the issue; refining and testing knowledge; interpreting, contextualising and adapting knowledge to the local context; implementing and evaluating; and finally, the embedding and translating of new knowledge into practice. SUMMARY Although descriptions of how to incorporate KT into research designs are increasing, current theoretical and operational frameworks do not generally span a holistic process from knowledge co-creation to knowledge application and implementation within one project. Population health studies may have greater health impact when KT is incorporated early and explicitly into the research design. This, we argue, will require that particular attention be paid to collaborative approaches, stakeholder identification and engagement, the nature and sources of evidence used, and the role of the research team working with the local study community.Alison Kitson, Kathryn Powell, Elizabeth Hoon, Jonathan Newbury, Anne Wilson, Justin Beilb
Evidence-based practice in everyday clinical practice: Strategies for change in a tertiary occupational therapy department
Evidence-based practice is an approach that has gained recognition for facilitating the transfer of evidence into quality clinical practice. While occupational therapy clinicians have a professional responsibility to ensure that their practice is effective, managers also have a responsibility to implement structures and systems that will support therapists in doing so. A review of the literature demonstrated limited evidence of specific organisational models of practice to facilitate the transfer of knowledge into occupational therapy practice. This paper outlines the steps undertaken by occupational therapists in a large tertiary teaching hospital to develop and implement a model of research utilisation. The resulting Research and Evidence in Practice model and the enabling strategies for its implementation are presented. A challenge for the future is to conduct a formal evaluation of the model