Background: The aging population is increasingly faced with daily life limitations, threatening their Functional Independence (FI). These limitations extend different life domains and require a broad range of community-care professionals to be addressed. The Decision Support Tool for Functional Independence (DST-FI) facilitates community-care professionals in providing uncontradictory recommendations regarding the maintenance of FI in community-dwelling older people. The current study aims to determine the validity and reliability of the DST-FI. Methods: Sixty community-care professionals completed a twofold assessment. To assess construct validity, participants were asked to assign predefined recommendations to fifty cases of older people to maintain their level of FI. Hypotheses were tested regarding the expected recommendations per case. Content validity was assessed by questions on relevance, comprehensiveness, and comprehensibility of the current set of recommendations. Twelve participants repeated the assessment after two weeks to enable both within- and between rater reliability properties, expressed by an Intraclass Correlation Coefficient. Results: Seven out of eight predefined hypotheses confirmed expectations, indicating high construct validity. As the recommendations were indicated 'relevant' and 'complete', content validity was high as well. Agreement between raters was poor to moderate while agreement within raters was moderate to excellent, resulting in moderate overall reliability. Conclusion: The DST-FI suggests high validity and moderate reliability properties when used in a population of community-dwelling older people. The tool could facilitate community-care professionals in their task to preserve FI in older people. Future research should focus on psychometric properties like feasibility, acceptability, and developing and piloting strategies for implementation in community-care.
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As the population ages, the proportion of frail older people is also increasing. While attention to frailty experiences has increased, how these account to a comprehensive understanding of frailty and its impact on behavior and functioning remains understudied. Therefore, in this study, we aimed to understand how frailty is experienced, and how frailty and frailty experiences affect behavior and functioning from the perspectives of Dutch community-dwelling older people. In this phenomenological qualitative study, we conducted semi-structured interviews with 36 community-dwelling older people (≥65 years). The ‘Tilburg Frailty Indicator’ was administered to measure frailty, 15 of the participants were considered frail. Thematic analysis revealed the following themes and subthemes: 1) frailty experiences: situation related, initiated internally, initiated externally, and being and feeling frail; 2) coping: cognitive efforts, behavioral efforts, and emotional aspects. The distinction between being frail and feeling frail was, among other things, reflected in the temporality of frailty experiences, such as short periods of moments in time experiencing frailty. Personal factors and contexts strongly influence an individual's experiences and multiple coping strategies were discovered, with mindset shaping individual coping strategies. We recommend a personalized approach in which the experiences and capabilities of older people are considered to support them in maintaining or enhancing their well-being.
Machine learning models have proven to be reliable methods in classification tasks. However, little research has been done on classifying dwelling characteristics based on smart meter & weather data before. Gaining insights into dwelling characteristics can be helpful to create/improve the policies for creating new dwellings at NZEB standard. This paper compares the different machine learning algorithms and the methods used to correctly implement the models. These methods include the data pre-processing, model validation and evaluation. Smart meter data was provided by Groene Mient, which was used to train several machine learning algorithms. The models that were generated by the algorithms were compared on their performance. The results showed that Recurrent Neural Network (RNN) 2performed the best with 96% of accuracy. Cross Validation was used to validate the models, where 80% of the data was used for training purposes and 20% was used for testing purposes. Evaluation metrices were used to produce classification reports, which can indicate which of the models work the best for this specific problem. The models were programmed in Python.
The main objective is to write a scientific paper in a peer-reviewed Open Access journal on the results of our feasibility study on increasing physical activity in home dwelling adults with chronic stroke. We feel this is important as this article aims to close a gap in the existing literature on behavioral interventions in physical therapy practice. Though our main target audience are other researchers, we feel clinical practice and current education on patients with stroke will benefit as well.
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.
