Abstract Aim: To gain insight into the relationship between self-management abilities (taking initiatives, investment behaviour, variety, multifunctionality, self-efficacy, positive frame of mind) and physical, psychological and social frailty. Design: A cross-sectional study. Methods: 145 community-dwelling older people receiving home-care completed a questionnaire on sociodemographic factors, the Self-Management-Ability-Scale and the Tilburg Frailty Indicator. After determining correlations, sequential multiple linear regression analyses were executed. Results: All self-management abilities are negatively associated with physical frailty; five (except multifunctionality) are negatively associated with psychological frailty. Variety in resources and positive frame of mind are negatively associated with social frailty. Sociodemographic characteristics, chronic diseases and self-management abilities together significantly explain participants’physical (34.9%), psychological (21.4%) and social (43.9%) frailty. After controlling for sociodemographic characteristics and chronic diseases, the self-management abilities together significantly explain 11 per cent of psychological and 6.8 per cent of social frailty. Having a positive frame of mind significantly negatively influences social frailty.
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Background: The population ageing in most Western countries leads to a larger number of frail older people. These frail people are at an increased risk of negative health outcomes, such as functional decline, falls, institutionalisation and mortality. Many approaches are available for identifying frailty among older people. Researchers most often use Fried and colleagues’ description of the frailty phenotype. The authors describe five physical criteria. Other researchers prefer a combination of measurements in the social, psychological and/or physical domains. The aim of this study is to describe the levels of social, psychological and physical functioning according to Fried’s frailty stages using a large cohort of Dutch community-dwelling older people. Methods: There were 8,684 community-dwelling older people (65+) who participated in this cross-sectional study. Based on the five Fried frailty criteria (weight loss, exhaustion, low physical activity, slowness, weakness), the participants were divided into three stages: non-frail (score 0), pre-frail (score 1–2) and frail (score 3–5). These stages were related to scores in the social (social network type, informal care use, loneliness), psychological (psychological distress, mastery, self-management) and physical (chronic diseases, GARS IADL-disability, OECD disability) domains. Results: 63.2 % of the participants was non-frail, 28.1 % pre-frail and 8.7 % frail. When comparing the three stages of frailty, frail people appeared to be older, were more likely to be female, were more often unmarried or living alone, and had a lower level of education compared to their pre-frail and non-frail counterparts. The difference between the scores in the social, psychological and physical domains were statistically significant between the three frailty stages. The most preferable scores came from the non-frail group, and least preferable scores were from the frail group. For example use of informal care: non-frail 3.9 %, pre-frail 23.8 %, frail 60.6 %, and GARS IADL-disability mean scores: non-frail 9.2, pre-frail 13.0, frail 19.7. Conclusion: When older people were categorised according to the three frailty stages, as described by Fried and colleagues, there were statistically significant differences in the level of social, psychological and physical functioning between the non-frail, pre-frail and frail persons. Non-frail participants had consistently more preferable scores compared to the frail participants. This indicated that the Fried frailty criteria could help healthcare professionals identify and treat frail older people in an efficient way, and provide indications for problems in other domains.
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In solving systemic design challenges designers co-create with professionals from various fields. In the context of innovation in healthcare practices, this study investigates design abilities that healthcare professionals develop by participating in co-design projects. We conducted a mixed-methods research approach consisting of five retrospective interviews with healthcare researchers involved in co-design projects, and a multiple case study (three cases) on the collaboration between design researchers and healthcare professionals. The three cases all aimed at designing tools for healthcare innovation. The cases differ in the healthcare context and the professionals involved: Paediatric physical therapists in the treatment of babies (0-2 years), supervisors (e.g. in assisted living) of people with intellectual disabilities, and academic researchers in social sciences and design research developing e-health applications for elderly people with early stages of dementia. Literature states that healthcare professionals may be competent in specific abilities related to design, but they are not trained to mode-shift and to use two different ways of working for creativity. We found that the healthcare professionals involved in co-design projects developed design ability over time, and that the research setting was supportive. Based on design abilities that the five healthcare researchers explicated in the interviews as having adopted, we suggest eight mode-shift practices related to design, which we investigated in the cases. Findings of the case-study show that two mode-shift practices related to design and innovation are difficult to adopt for healthcare professionals: Generate and synthesize; and keeping track on overview and details. These two design abilities require more training and/or experience than the other six design abilities that ran smoothly in the cases, if healthcare professionals were facilitated in the process. Healthcare professionals specifically relate two of these practices to design: Collaboration and slow down – sprint. This study discusses these findings by referring to an analogy of kayaking on a wild water river: The collaboration aspect of switching between working in a group and by yourself, like a group of kayakers who collaborate in going down stream a river but peddle by themselves in their own boats; the slowdown and sprint aspect, like kayakers who oversee the river in turning waters and sprint in between, rather than go with the flow in a raft.
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Citizens regularly search the Web to make informed decisions on daily life questions, like online purchases, but how they reason with the results is unknown. This reasoning involves engaging with data in ways that require statistical literacy, which is crucial for navigating contemporary data. However, many adults struggle to critically evaluate and interpret such data and make data-informed decisions. Existing literature provides limited insight into how citizens engage with web-sourced information. We investigated: How do adults reason statistically with web-search results to answer daily life questions? In this case study, we observed and interviewed three vocationally educated adults searching for products or mortgages. Unlike data producers, consumers handle pre-existing, often ambiguous data with unclear populations and no single dataset. Participants encountered unstructured (web links) and structured data (prices). We analysed their reasoning and the process of preparing data, which is part of data-ing. Key data-ing actions included judging relevance and trustworthiness of the data and using proxy variables when relevant data were missing (e.g., price for product quality). Participants’ statistical reasoning was mainly informal. For example, they reasoned about association but did not calculate a measure of it, nor assess underlying distributions. This study theoretically contributes to understanding data-ing and why contemporary data may necessitate updating the investigative cycle. As current education focuses mainly on producers’ tasks, we advocate including consumers’ tasks by using authentic contexts (e.g., music, environment, deferred payment) to promote data exploration, informal statistical reasoning, and critical web-search skills—including selecting and filtering information, identifying bias, and evaluating sources.
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OBJECTIVES: To investigate the course of depressive symptoms, and basic and instrumental activities of daily living (collectively described as, (I)ADL functioning) from acute admission until one year post-discharge, the longitudinal association between depressive symptoms and (I)ADL functioning, and to disaggregate between- and within-person effects to examine whether changes in depressive symptoms are associated with changes in (I)ADL functioning.METHODS: Prospective multicenter cohort of acutely hospitalized patients aged ≥70. Data gathered over a one-year period were assessed using validated measures of depressive symptoms (GDS-15) and physical functioning (Katz-ADL index). A Poisson mixed model analysis was used to examine the association between the courses and a hybrid model was used to disentangle between- and within-subject effects.RESULTS: The analytic sample included 398 patients (mean age = 79.6 years, SD = 6.6). Results showed an improvement in depressive symptoms and physical functions over time, whereby changes in depressive symptoms were significantly associated with the course of ADL function (rate ratio (RR) = 0.91, p < .001) and IADL function (RR = 0.94, p < .001), even after adjustment for confounding variables. Finally, both between- and within-person effects of depressive symptoms were significantly associated with the course of ADL function (between-person: RR = 0.85, p < .001; within-person: RR = 0.94, p < .001) and IADL function (between-person: RR = 0.87, p < .001; within-person: RR = 0.97, p < .001).CONCLUSION: The course of depressive symptoms and physical functions improved over time, whereby changes in depressive symptoms were significantly associated with changes in physical functions, both at group and individual level. These changes in (I)ADL functioning lie mostly above the estimated minimally important change for both scales, implying clinically relevant changes.
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This paper reports on an experiment comparing students’ results on image-rich numeracy problems and on equivalent word problems. Given the well reported problematic nature of word problems, the hypothesis is that students score better on image-rich numeracy problems than on comparable word problems. To test the hypothesis a randomized controlled trial was conducted with 31,842 students from primary, secondary, and vocational education. The trial consisted of 21 numeracy problems in two versions: word problems and image-rich problems. The hypothesis was confirmed for the problems used in this experiment. With the insights gained we intend to improve the assessment of students’ abilities in solving quantitative problems from daily life. Numeracy, word problem, image-rich problem, randomized controlled trial, assessment
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Objective:This study investigated whether visual function is associated with cognitive activity engagement and mild cognitive impairment in middle-aged and elderly individuals. Method:This cross-sectional study was conducted on 120 individuals aged 50–89. The Florida Cognitive Activity Scale (FCAS) was used to assess cognitive activity engagement. Visual function was assessed by near visual acuity(nVA) and contrast sensitivity (CS), and both combined to obtain a visual function (VF) compound score. Multi-variable linear regression models, adjusted for confounders, were used to assess the association between the determinants and FCAS. Results:After confounder adjustment, nVA was not associated with overall cognitive activity engagement. CS was significantly associated with the FCAS“Higher Cognitive Abilities”subscale score (BHC= 5.5 [95% CI 1.3; 9.7]).Adjustment for nVA attenuated the association between CS and engagement in tasks of Higher Cognitive Abilities(BHC= 4.7 [95% CI 0.1; 9.3]).In retired individuals(N= 87), theVF compound score was associated with a lower Cognitive Activity Scale score(BCA=−1.2 [95% CI−2.3;−0.1]), lower Higher Cognitive Abilities score(BHC=−0.7 [95% CI−1.3;−0.1])and lower Frequent Cognitive Abilities score (BFA=−0.5 [95% CI−0.9;−0.1]). Conclusion:CS, but not nVA, plays a role in engagement in tasks associated with Higher Cognitive Abilities in middle-aged and elderly individuals. In retired individuals, the VF compound score is associated with lower Cognitive Activity score, lower Higher Cognitive Abilities score and lower Frequent Cognitive Abilities score.
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