Quality of life serves a reference against which you can measure the various domains of your own life or that of other individuals, and that can change over time. This definition of the World Health Organization encompasses many elements of daily living, including features of the individual and the environment around us, which can either be the social environment, the built environment, or other environmental aspects. This is one of the rationales for the special issue on “Quality of Life: The Interplay between Human Behaviour, Technology and the Environment”. This special issue is a joint project by the Centre of Expertise Health Innovation of the Hague University of Applied Sciences in The Netherlands. The main focus of this Special Issue is how optimising the interplay between people, the environment, and technology can enhance people’s quality of life. The focus of the contributions in this special issue is on the person or end‐user and his or her environment, both the physical, social, and digital environment, and on the interaction between (1) people, (2) health, care, and systems, and (3) technology. Recent advances in technology offer a wide range of solutions that support a healthy lifestyle, good quality of life, and effective and efficient healthcare processes, for a large number of end‐users, both patients/clients from minus 9 months until 100+ years of age, as well as practitioners/physicians. The design of new services and products is at the roots of serving the quality of life of people. Original article at MDPI; DOI: https://doi.org/10.3390/ijerph16245106 (Editorial of Special Issue with the same title: "Quality of Life: The Interplay between Human Behaviour, Technology and the Environment")
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Given the growing number of older people, society as a whole should ideally provide a higher quality of life (QoL) for its ageing citizens through the concept of personalised ageing. Information and communication technologies (ICT) are subject to constant and rapid development, and can contribute to the goal of an improved QoL for older adults. In order to utilise future ICT solutions as a part of an age-friendly smart environment that helps achieve personalised ageing with an increased QoL, one must first determine whether the existing ICT solutions are satisfying the needs of older people. In order to accomplish that, this study contributes in three ways. First, it proposes a framework for the QoL of older adults, in order to provide a systematic review of the state-of-the-art literature and patents in this field. The second contribution is the finding that selected ICT solutions covered by articles and patents are intended for older adults and are validated by them. The third contribution of the study are the six recommendations that are derived from the review of the literature and the patents which would help move the agenda concerning the QoL of older people and personalised ageing with the use of ICT solutions forward. Original article at MDPI; DOI: http://dx.doi.org/10.3390/ijerph17082940 (This article belongs to the Special Issue Feature Papers "Age-Friendly Cities & Communities: State of the Art and Future Perspectives")
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OBJECTIVE: to gain insight into what older adults after hip fracture perceive as most beneficial to their recovery to everyday life.DESIGN: qualitative research approach.SETTING: six skilled nursing facilities.PARTICIPANTS: 19 older community dwelling older adults (aged 65-94), who had recently received geriatric rehabilitation after hip fracture.METHODS: semi-structured interviews were conducted with 19 older adults after hip fracture. Coding techniques based on constructivist grounded theory were applied.RESULTS: four categories were derived from the data: 'restrictions for everyday life', 'recovery process', 'resources for recovery' and 'performing everyday activities'. Physical and psychological restrictions are consequences of hip fracture that older adults have struggled to address during recovery. Three different resources were found to be beneficial for recovery; 'supporting and coaching', 'myself' and 'technological support'. These resources influenced the recovery process. Having successful experiences during recovery led to doing everyday activities in the same manner as before; unsuccessful experiences led to ceasing certain activities altogether.CONCLUSION: participants highlight their own role ('myself') as essential for recovery. Additionally, coaching provides emotional support, which boosts self-confidence in performing everyday activities. Furthermore, technology can encourage older adults to become more active and being engaged in the recovery process. The findings suggest that more attention should be paid to follow-up interventions after discharge from inpatient rehabilitation to support older adults in finding new routines in their everyday activities.A conceptual model is presented and provides an understanding of the participants' experiences and perspectives concerning their process of recovery after hip fracture to everyday life.
In order to stay competitive and respond to the increasing demand for steady and predictable aircraft turnaround times, process optimization has been identified by Maintenance, Repair and Overhaul (MRO) SMEs in the aviation industry as their key element for innovation. Indeed, MRO SMEs have always been looking for options to organize their work as efficient as possible, which often resulted in applying lean business organization solutions. However, their aircraft maintenance processes stay characterized by unpredictable process times and material requirements. Lean business methodologies are unable to change this fact. This problem is often compensated by large buffers in terms of time, personnel and parts, leading to a relatively expensive and inefficient process. To tackle this problem of unpredictability, MRO SMEs want to explore the possibilities of data mining: the exploration and analysis of large quantities of their own historical maintenance data, with the meaning of discovering useful knowledge from seemingly unrelated data. Ideally, it will help predict failures in the maintenance process and thus better anticipate repair times and material requirements. With this, MRO SMEs face two challenges. First, the data they have available is often fragmented and non-transparent, while standardized data availability is a basic requirement for successful data analysis. Second, it is difficult to find meaningful patterns within these data sets because no operative system for data mining exists in the industry. This RAAK MKB project is initiated by the Aviation Academy of the Amsterdam University of Applied Sciences (Hogeschool van Amsterdan, hereinafter: HvA), in direct cooperation with the industry, to help MRO SMEs improve their maintenance process. Its main aim is to develop new knowledge of - and a method for - data mining. To do so, the current state of data presence within MRO SMEs is explored, mapped, categorized, cleaned and prepared. This will result in readable data sets that have predictive value for key elements of the maintenance process. Secondly, analysis principles are developed to interpret this data. These principles are translated into an easy-to-use data mining (IT)tool, helping MRO SMEs to predict their maintenance requirements in terms of costs and time, allowing them to adapt their maintenance process accordingly. In several case studies these products are tested and further improved. This is a resubmission of an earlier proposal dated October 2015 (3rd round) entitled ‘Data mining for MRO process optimization’ (number 2015-03-23M). We believe the merits of the proposal are substantial, and sufficient to be awarded a grant. The text of this submission is essentially unchanged from the previous proposal. Where text has been added – for clarification – this has been marked in yellow. Almost all of these new text parts are taken from our rebuttal (hoor en wederhoor), submitted in January 2016.
