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Purpose: The aim of this study was at gaining insight into the participatory design approach of involving people with dementia in the development of the DecideGuide, an interactive web tool facilitating shared decision-making in their care networks.Method: An explanatory case study design was used when developing the DecideGuide. A secondary analysis focused on the data gathered from the participating people with dementia during the development stages: semi-structured interviews (n = 23), four focus group interviews (n = 18), usability tests (n = 3), and a field study (n = 4). Content analysis was applied to the data.Results: Four themes showed to be important regarding the participation experiences of involving people with dementia in research: valuable feedback on content and design of the DecideGuide, motivation to participate, perspectives of people with dementia and others about distress related to involvement, and time investment.Conclusions: People with dementia can give essential feedback and, therefore, their contribution is useful and valuable. Meaningful participation of people with dementia takes time that should be taken into account. It is important for people with dementia to be able to reciprocate the efforts others make and to feel of significance to others. Implications for Rehabilitation People with dementia can contribute meaningfully to the content and design and their perspective is essential for developing useful and user-friendly tools.Participating in research activities may contribute to social inclusion, empowerment, and quality of life of people with dementia. [ABSTRACT FROM AUTHOR]

Purpose: To identify factors in the early post-stroke period that have a predictive value for a poor outcome, defined as institutionalization or severe disability. Methods: MEDLINE, PSYCINFO, EMBASE and CINAHL were systematically searched for observational cohort studies in which adult and/or elderly stroke patients were assessed ≤1 month post-stroke and poor outcome was determined after a follow-up of ≥3 months. Results: Thirty three articles were selected from 4063 records, describing 27 independent cohort studies. There are rather consistent findings that greater age, a more severe stroke (measured through a clinical evaluation scale), the presence of urinary incontinence (with impaired awareness) and a larger stroke volume (measured through brain imaging techniques) predict poor stroke outcome. In contrast to clinical expectations, the prognostic value of ADL-dependency and impaired cognition remains unclear, and factors in the domains of emotional and communicative functioning rarely feature. Studies using a selected group of stroke patients tended to identify different predictors. Conclusions: The current evidence is insufficient for the development of a clinical prediction tool that is better than physicians' informal predictions. Future research should focus on the selection of optimal screening instruments in multiple domains of functioning, including the timing of assessment. We suggest developing prediction tools stratified by more homogeneous, clinically distinguished stroke subtypes. [ABSTRACT FROM AUTHOR]