During the past two decades the implementation and adoption of information technology has rapidly increased. As a consequence the way businesses operate has changed dramatically. For example, the amount of data has grown exponentially. Companies are looking for ways to use this data to add value to their business. This has implications for the manner in which (financial) governance needs to be organized. The main purpose of this study is to obtain insight in the changing role of controllers in order to add value to the business by means of data analytics. To answer the research question a literature study was performed to establish a theoretical foundation concerning data analytics and its potential use. Second, nineteen interviews were conducted with controllers, data scientists and academics in the financial domain. Thirdly, a focus group with experts was organized in which additional data were gathered. Based on the literature study and the participants responses it is clear that the challenge of the data explosion consist of converting data into information, knowledge and meaningful insights to support decision-making processes. Performing data analyses enables the controller to support rational decision making to complement the intuitive decision making by (senior) management. In this way, the controller has the opportunity to be in the lead of the information provision within an organization. However, controllers need to have more advanced data science and statistic competences to be able to provide management with effective analysis. Specifically, we found that an important skill regarding statistics is the visualization and communication of statistical analysis. This is needed for controllers in order to grow in their role as business partner..
This article describes a European project which was aimed at improving the situation of persons with psychiatric or learning disabilities with regard to social participation and citizenship. The project took place in three countries (Estonia, Hungary and the Netherlands) and four cities (Tallinn, Budapest, Amersfoort and Maastricht). The project included research and actions at the policy level, the organizational level and the practice level. At the policy level, the framework of the United Nations Convention on the Rights of Persons with Disabilities (United Nations, 2006) and the European Disability Strategy (European Commission, 2010) were used to look at national and local policies, at the reality of the lives of those with disabilities and at the support that professional services offer with regard to participation and inclusion. The project generated a number of insights, recommendations and methods by which to improve the quality of services and increase the number of opportunities for community engagement. In this article, we present some of the lessons learned from the meta-analysis. Although the circumstances in each country are quite different with regard to policy, culture and service systems, it is remarkable that people with disabilities face many of the same problems. The study shows that in all three countries, access to services could be improved. Barriers include bureaucratic procedures and a lack of services. The research identified that in every country and city there are considerable barriers regarding equal participation in the field of housing, work and leisure activities. In addition to financial barriers, there are the barriers of stigma and self-stigmatization. Marginalization keeps people in an unequal position and hinders their recovery and participation. In all countries, professionals need to develop a stronger focus on supporting the participation of their clients in public life and in the development of different roles pertaining to citizenship
In this thesis several studies are presented that have targeted decision making about case management plans in probation. In a case management plan probation officers describe the goals and interventions that should help offenders stop reoffending, and the specific measures necessary to reduce acute risks of recidivism and harm. Such a plan is embedded in a judicial framework, a sanction or advice about the sanction in which these interventions and measures should be executed. The topic of this thesis is the use of structured decision support, and the question is if this can improve decision making about case management plans in probation and subsequently improve the effectiveness of offender supervision. In this chapter we first sketch why structured decision making was introduced in the Dutch probation services. Next we describe the instrument for risk and needs assessment as well as the procedure to develop case management plans that are used by the Dutch probation services and that are investigated in this thesis. Then we describe the setting of the studies and the research questions, and we conclude with an overview of this thesis.
Physical rehabilitation programs revolve around the repetitive execution of exercises since it has been proven to lead to better rehabilitation results. Although beginning the motor (re)learning process early is paramount to obtain good recovery outcomes, patients do not normally see/experience any short-term improvement, which has a toll on their motivation. Therefore, patients find it difficult to stay engaged in seemingly mundane exercises, not only in terms of adhering to the rehabilitation program, but also in terms of proper execution of the movements. One way in which this motivation problem has been tackled is to employ games in the rehabilitation process. These games are designed to reward patients for performing the exercises correctly or regularly. The rewards can take many forms, for instance providing an experience that is engaging (fun), one that is aesthetically pleasing (appealing visual and aural feedback), or one that employs gamification elements such as points, badges, or achievements. However, even though some of these serious game systems are designed together with physiotherapists and with the patients’ needs in mind, many of them end up not being used consistently during physical rehabilitation past the first few sessions (i.e. novelty effect). Thus, in this project, we aim to 1) Identify, by means of literature reviews, focus groups, and interviews with the involved stakeholders, why this is happening, 2) Develop a set of guidelines for the successful deployment of serious games for rehabilitation, and 3) Develop an initial implementation process and ideas for potential serious games. In a follow-up application, we intend to build on this knowledge and apply it in the design of a (set of) serious game for rehabilitation to be deployed at one of the partners centers and conduct a longitudinal evaluation to measure the success of the application of the deployment guidelines.
Dutch society faces major future challenges putting populations’ health and wellbeing at risk. An ageing population, increase of chronic diseases, multimorbidity and loneliness lead to more complex healthcare demands and needs and costs are increasing rapidly. Urban areas like Amsterdam have to meet specific challenges of a growing and super divers population often with a migration background. The bachelor programs and the relating research groups of social work and occupational therapy at the Amsterdam University of Applied Sciences innovate their curricula and practice-oriented research by multidisciplinary and cross-domain approaches. Their Centres of Expertise foster interprofessional research and educational innovation on the topics of healthy ageing, participation, daily occupations, positive health, proximity, community connectedness and urban innovation in a social context. By focusing on senior citizens’ lives and by organizing care in peoples own living environment. Together with their networks, this project aims to develop an innovative health promotion program and contribute to the government missions to promote a healthy and inclusive society. Collaboration with stakeholders in practice based on their urgent needs has priority in the context of increasing responsibilities of local governments and communities. Moreover, the government has recently defined social base as being the combination of citizen initiatives, volunteer organizations , caregivers support, professional organizations and support of vulnerable groups. Kraktie Foundations is a community based ethno-cultural organization in south east Amsterdam that seeks to research and expand their informal services to connect with and build with professional care organizations. Their aim coincides with this project proposal: promoting health and wellbeing of senior citizens by combining intervention, participatory research and educational perspectives from social work, occupational therapy and hidden voluntary social work. With a boundary crossing innovation of participatory health research, education and Kraktie’s work in the community we co-create, change and innovate towards sustainable interventions with impact.
Low back pain is the leading cause of disability worldwide and a significant contributor to work incapacity. Although effective therapeutic options are scarce, exercises supervised by a physiotherapist have shown to be effective. However, the effects found in research studies tend to be small, likely due to the heterogeneous nature of patients' complaints and movement limitations. Personalized treatment is necessary as a 'one-size-fits-all' approach is not sufficient. High-tech solutions consisting of motions sensors supported by artificial intelligence will facilitate physiotherapists to achieve this goal. To date, physiotherapists use questionnaires and physical examinations, which provide subjective results and therefore limited support for treatment decisions. Objective measurement data obtained by motion sensors can help to determine abnormal movement patterns. This information may be crucial in evaluating the prognosis and designing the physiotherapy treatment plan. The proposed study is a small cohort study (n=30) that involves low back pain patients visiting a physiotherapist and performing simple movement tasks such as walking and repeated forward bending. The movements will be recorded using sensors that estimate orientation from accelerations, angular velocities and magnetometer data. Participants complete questionnaires about their pain and functioning before and after treatment. Artificial analysis techniques will be used to link the sensor and questionnaire data to identify clinically relevant subgroups based on movement patterns, and to determine if there are differences in prognosis between these subgroups that serve as a starting point of personalized treatments. This pilot study aims to investigate the potential benefits of using motion sensors to personalize the treatment of low back pain. It serves as a foundation for future research into the use of motion sensors in the treatment of low back pain and other musculoskeletal or neurological movement disorders.
