Ageing of the population in European cities creates fundamental challenges with regard to employment, pensions, health care and other age-related services. Many older people want to live independent lives as long as possible. This aspiration is currently strongly supported by many local governments. A precondition for 'ageing in place' is that older people perceive their neighbourhoods as familiar and safe places. In the Netherlands, many neighbourhoods with an ageing population have been subject to urban restructuring policies. An important question is to what extent such policies affect the housing situation, socioeconomic position and social support networks of older people, as these factors strongly assist their ability to 'age in place'. The paper answers this question through an exploratory analysis of a small but unique panel data set from Hoogvliet, a large urban restructuring area in the city of Rotterdam. The partly counter-intuitive results show that restructuring has enabled 'ageing in place'. Compared to stayers, movers within Hoogvliet often report improved housing quality and positive neighbourhood change. The exploratory analyses did not provide evidence of decreased social support or increased loneliness through restructuring-induced disruptions of social ties. Various 'buffer measures' have been effective in preventing negative restructuring impacts on older residents.
Exploratory analyses are an important first step in psychological research, particularly in problem-based research where various variables are often included from multiple theoretical perspectives not studied together in combination before. Notably, exploratory analyses aim to give first insights into how items and variables included in a study relate to each other. Typically, exploratory analyses involve computing bivariate correlations between items and variables and presenting them in a table. While this is suitable for relatively small data sets, such tables can easily become overwhelming when datasets contain a broad set of variables from multiple theories. We propose the Gaussian graphical model as a novel exploratory analyses tool and present a systematic roadmap to apply this model to explore relationships between items and variables in environmental psychology research. We demonstrate the use and value of the Gaussian graphical model to study relationships between a broad set of items and variables that are expected to explain the effectiveness of community energy initiatives in promoting sustainable energy behaviors.
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Abstract Primary healthcare professionals face an increasing number of geriatrics patients, and patient care often involves different disciplines. eHealth offers opportunities to support interprofessional collaboration (IPC). This exploratory study aimed to gain insight in 1) IPC in community-based rehabilitation, 2) facilitators and barriers for technology-based IPC and 3) technological IPC solutions envisioned by the primary healthcare professionals An focus group with six primary healthcare professionals and a design thinking session with four participants were conducted. Data analysis was based upon an IPC model. Results indicate that facilitators and barriers for IPC can be clustered in three categories: human, organization and technology, and provide some requirements to develop suitable IPC technological solutions Primary healthcare professionals recognise the urgency of working collaboratively. Current barriers are understanding each other’s professional vocabulary, engaging the older adults, and using technology within the patient’s environment. Further research is needed to integrate IPC components in a technological solution
