In many learning spaces in higher professional education, students are required to do research. At the same time they, and many of their tutors, struggle with the doubt, the uncertainty and even the anxiety that often accompanies the research process. Research shows that uncertainty and safety (‘safe uncertainty’) play an important role in students’ experiences of the research process. In order to study this and to answer the question ‘how to cope with uncertainty during the research process?’, we have designed a tool called ‘research mapping’. In a workshop setting, research mapping visualizes first the research process and, secondly, the elements of safe uncertainty within. Subsequently, dialogue between the participants produces generalized insights in the research process and in the role of safe uncertainty in that process. Next to the benefits for students and tutors, also the learning space of doing research can be improved.
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This article discusses Deep Mapping in Geography teaching and learning by drawing on a case study of a summer school organised during the COVID-19 pandemic. Deep Mapping was used to foster deep learning among the students and teach them about a distant place and people. The exercise tasked the students to work on the creation of layered maps representing the fieldwork site, the city of Vancouver, Canada. Critical student reflections about the Deep Mapping process are used to address some of the benefits and challenges. The Deep Mapping exercise stimulated the students to critically engage with the diverse summer school materials, move beyond a superficial view of the city, maps and mapping, and reflect on their positionality. The method is promising in light of making deep engagement with other places more accessible to those who might not have or be inclined to access such international educational experience and also offers another opportunity for blended learning. In conclusion, we argue that Deep Mapping offers a timely and highly engaging approach to learn about a place and people from another part of the world – be it on location or at a distance.
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Depression is a highly prevalent and seriously impairing disorder. Evidence suggests that music therapy can decrease depression, though the music therapy that is offered is often not clearly described in studies. The purpose of this study was to develop an improvisational music therapy intervention based on insights from theory, evidence and clinical practice for young adults with depressive symptoms. The Intervention Mapping method was used and resulted in (1) a model to explain how emotion dysregulation may affect depressive symptoms using the Component Process Model (CPM) as a theoretical framework; (2) a model to clarify as to how improvisational music therapy may change depressive symptoms using synchronisation and emotional resonance; (3) a prototype Emotion-regulating Improvisational Music Therapy for Preventing Depressive symptoms (EIMT-PD); (4) a ten-session improvisational music therapy manual aimed at improving emotion regulation and reducing depressive symptoms; (5) a program implementation plan; and (6) a summary of a multiple baseline study protocol to evaluate the effectiveness and principles of EIMT-PD. EIMT-PD, using synchronisation and emotional resonance may be a promising music therapy to improve emotion regulation and, in line with our expectations, reduce depressive symptoms. More research is needed to assess its effectiveness and principles.
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While literature and practice acknowledge the potential of service innovation as well as digitally enabled innovation processes, the diverse innovation process literature lacks a process model which combines these two aspects. This systematic literature review aims at filling this gap by analysing innovation process theories and approaches with a specific focus on service and digital innovation. 25 conceptualisations of innovation processes were distilled and analysed in detail to present a ‘digital innovation process for services’ model which includes steps on three levels. Consequently, this literature review expands the current state-of-research and acts as the groundwork for further innovation research projects.
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The ageing of people with intellectual disabilities, with associated morbidity like dementia, calls for new types of care. Person-centered methods may support care staff in providing this, an example being Dementia Care Mapping (DCM). DCM has been shown to be feasible in ID-care. We examined the experiences of ID-professionals in using DCM. We performed a mixed-methods study, using quantitative data from care staff (N = 136) and qualitative data (focus-groups, individual interviews) from care staff, group home managers and DCM-in-intellectual disabilities mappers (N = 53). ageing, dementia, Dementia Care Mapping, intellectual disability, mixed-methods, personcentred care
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OBJECTIVE: To investigate the level of agreement of the behavioural mapping method with an accelerometer to measure physical activity of hospitalized patients. DESIGN: A prospective single-centre observational study. SETTING: A university medical centre in the Netherlands. SUBJECTS: Patients admitted to the hospital. MAIN MEASURES: Physical activity of participants was measured for one day from 9 AM to 4 PM with the behavioural mapping method and an accelerometer simultaneously. The level of agreement between the percentages spent lying, sitting and moving from both measures was evaluated using the Bland-Altman method and by calculating Intraclass Correlation Coefficients. RESULTS: In total, 30 patients were included. Mean (±SD) age was 63.0 (16.8) years and the majority of patients were men (n = 18). The mean percentage of time (SD) spent lying was 47.2 (23.3) and 49.7 (29.8); sitting 42.6 (20.5) and 40.0 (26.2); and active 10.2 (6.1) and 10.3 (8.3) according to the accelerometer and observations, respectively. The Intraclass Correlation Coefficient and mean difference (SD) between the two measures were 0.852 and -2.56 (19.33) for lying; 0.836 and 2.60 (17.72) for sitting; and 0.782 and -0.065 (6.23) for moving. The mean difference between the two measures is small (⩽2.6%) for all three physical activity levels. On patient level, the variation between both measures is large with differences above and below the mean of ⩾20% being common. CONCLUSION: The overall level of agreement between the behavioural mapping method and an accelerometer to identify the physical activity levels 'lying', 'sitting' and 'moving' of hospitalized patients is reasonable.
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Patients with cardiovascular risk factors can reduce their risk of cardiovascular disease by increasing their physical activity and their physical fitness. According to the guidelines for cardiovascular risk management, health professionals should encourage their patients to engage in physical activity. In this paper, we provide insight regarding the systematic development of a Web-based intervention for both health professionals and patients with cardiovascular risk factors using the development method Intervention Mapping. The different steps of Intervention Mapping are described to open up the “black box” of Web-based intervention development and to support future Web-based intervention development.
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Research conducted by Universities of Applied Sciences (UASs) is frequently driven by professional practice where researchers are challenged with finding solutions to real-life problems. These real-life solutions are significantly enhanced by the participation of stakeholders. Through this inclusion and the resulting interactions, activities, and knowledge transfer, between the stakeholder and research(ers), impacts occur at a micro level. Micro impacts are the normal impacts that occur during the research process through interactions between researchers and stakeholders, that facilitate an unexpected and unplanned effect, be it positive or negative (Lykke et al. 2023, Mapping Research Activities and Societal Impact by Taxonomy of Indicators: Uniformity and Diversity across Academic Fields, Journal of Documentation, 79: 1049–70). Contribution analysis has been recognized as a viable method for evaluating micro impacts. One recognized contribution analysis framework is Kok and Schuit’s (2012, Contribution Mapping: A Method for Mapping the Contribution of Research to Enhance Its Impact, Health Research Policy and Systems, 10: 21) Contribution Mapping. It is also one of the frameworks acknowledged as conforming to several of the recommendations for evaluating UAS research impact. However, to do justice to the nature of Practice Oriented research, a new framework is needed. The purpose of this article is to test how Contribution Mapping works in real-life to answer the question: What can we learn from Contribution Mapping as an impact evaluation tool for a future UAS specific research impact evaluation framework? This article will examine the specificity of UAS research, the relevance of Contribution Mapping for evaluating UAS research, and the theoretical and practical implications of Contribution Mapping. Through inductive analysis conducted on information gleaned from interviews and focus groups, observations, challenges, and limitations are identified, and modifications suggested to take into consideration for a new framework.
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Deze rapportage maakt deel uit van zes rapportages die zijn opgeleverd in het WHeelchair ExercisE and Lifestyle Study (WHEELS) project. In deze rapportages worden de resultaten gepresenteerd van de Intervention Mapping (IM) stappen 1 t/m 6 in het ontwikkelen van een leefstijlapp voor rolstoelgebruikers met een dwarslaesie of beenamputatie. Deze rapportage betreft de uitwerking van IM-stap 3 waarin gedragsveranderingsmethodieken en praktische strategieën zijn geselecteerd om de veranderdoelen (beoogde veranderingen in het beweeg-, voedings- en ontspangedrag) te behalen.
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Objective: Self-management is a core theme within chronic care and several evidence-based interventions (EBIs) exist to promote self-management ability. However, these interventions cannot be adapted in a mere copy-paste manner. The current study describes and demonstrates a planned approach in adapting EBI’s in order to promote self-management in community-dwelling people with chronic conditions. Methods: We used Intervention Mapping (IM) to increase the intervention’s fit with a new context. IM helps researchers to take decisions about whether and what to adapt, while maintaining the working ingredients of existing EBI’s. Results: We present a case study in which we used IM to adapt EBI’s to the Flemish primary care context to promote self-management in people with one or more chronic disease. We present the reader with a contextual analysis, intervention aims, and content, sequence and scope of the resulting intervention. Conclusion: IM provides an excellent framework in providing detailed guidance on intervention adaption to a new context, while preserving the essential working ingredients of EBI’s. Practice Implications: The case study is exemplary for public health researchers and practitioners as a planned approach to seek and find EBI’s, and to make adaptations.
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