Culture Change in Aged-Care Facilities: A Café's Contribution to Transforming the Physical and Social Environment

Objective: To discuss the potential of a café on the premises of an aged-care facility as a vehicle for culture change. Method: Secondary analysis of primary qualitative data that explored the value of a café in an aged-care facility, compared with culture-change principles established from a literature review. Results: Secondary analysis established congruence between culture-change principles and the themes established in the primary qualitative data. A café, in one aged-care facility, has facilitated the following dimensions of culture change for residents: individualized care, facilitation of meaningful relationships, opportunities for participation in life roles, and creation of a sense of belonging. Conclusion: Culture change can be achieved through environmental innovations, such as a café, where food and dining maximize social opportunities and create a homelike environment that facilitates continuation of residents' identity.     

The misunderstood consequences of Shelley v. Kraemer

Shelley v. Kraemer (1948) was a landmark civil rights ruling, in which the Supreme Court held that private racial covenants could not be enforced by the state to evict black buyers of “restricted” homes. Fair housing scholars have generally dismissed or downplayed the practical effects of Shelley, since other forms of housing discrimination remained very powerful. Using spatial lag models and detailed geographic data on the location of covenants and patterns of intra-urban black migration, we compare the role of Shelley with other forces shaping mid-century neighborhood change. We find that Shelley precipitated white-to-black neighborhood transitions after 1948 and changed the nature of the dual housing market in important ways. We also show that increased black mobility produced a sharp increase in intra-black economic segregation during the 1950s and 1960s.     

New faces in new spaces in new places: Residential attainment among newly legalized immigrants in established,new, and minor destinations

Immigrants at the beginning of the twenty-first century are located in a more diverse set of metropolitan areas than at any point in U.S. history. Whether immigrants' residential prospects are helped or hindered in new versus established immigrant-receiving areas has been the subject of debate. Using multilevel models and data from the New Immigrant Survey (NIS), a nationally representative sample of newly legalized immigrants to the U.S., we move beyond aggregate-level analyses of residential segregation to specify the influence of destination type on individual-level immigrant residential outcomes. The findings indicate that immigrants in new and minor destinations are significantly more likely to live in tracts with relatively more non-Hispanic whites and relatively fewer immigrants and poor residents. These residential advantages persist net of individual-level controls but are largely accounted for by place-to-place differences in metropolitan composition and structure. Our exclusive focus on newly legalized immigrants means that our findings do not necessarily contradict the possibility of worse residential prospects in new areas of settlement, but rather qualifies it as not extending to the newly authorized population.     

Benefits and costs associated with mutual-help community-based recovery homes: The Oxford House model

We used data from a randomized controlled study of Oxford House (OH), a self-run, self-supporting recovery home, to conduct a cost-benefit analysis of the program. Following substance abuse treatment, individuals that were assigned to an OH condition (n = 68) were compared to individuals assigned to a usual care condition (n = 61). Economic cost measures were derived from length of stay at an Oxford House residence, and derived from self-reported measures of inpatient and outpatient treatment utilization. Economic benefit measures were derived from self-reported information on monthly income, days participating in illegal activities, binary responses of alcohol and drug use, and incarceration. Results suggest that OH compared quite favorably to usual care: the net benefit of an OH stay was estimated to be roughly $29,000 per person on average. Bootstrapped standard errors suggested that the net benefit was statistically significant. Costs were incrementally higher under OH, but the benefits in terms of reduced illegal activity, incarceration and substance use substantially outweighed the costs. The positive net benefit for Oxford House is primarily driven by a large difference in illegal activity between OH and usual care participants. Using sensitivity analyses, under more conservative assumptions we still arrived at a net benefit favorable to OH of $17,830 per person.     

Using agency data for evidence-based programming: a university-agency collaboration

Agencies providing residential treatment are encouraged, or even mandated, to collect outcomes data and to implement evidence based practices, yet little guidance has been provided on how to do so using agency administrative data that are collected on an ongoing basis. We examined data on Child and Adolescent Functional Assessment Scale (CAFAS) scores for 1608 admissions to a residential treatment center from 2002 through 2008. CAFAS scores were measured every 90 days, providing multiple CAFAS scores for each individual. Results demonstrated that on average residents improved in functioning over time. Sensitive to the evolving needs of residents who had been entering the program, the treatment center made significant program changes in 2006 to attempt to better serve residents through a broad array of specialized programming. Compared to the overall results, the analysis suggested that residents who entered the program since October 2006 appeared to have made larger improvements in their CAFAS scores. Results were derived by employing multilevel models appropriate for estimating growth trajectories with repeated measures data. Conversations with agency staff suggested that using administrative data, and advanced statistical models, were extremely helpful for organizational decision making and evidence-based programming.     

Residential mobility and the spatial dispersion of personal networks: Effects on social support

Using a representative national sample of personal networks, this article explores how the spatial dispersion of networks, residential mobility and social support are linked. Three issues will be addressed here. Firstly, how is the spatial dispersion of personal networks related to individuals’ social characteristics, network composition and residential mobility? Secondly, how do the spatial dispersion of networks, residential mobility and their combined effect influence the number and (thirdly) the structure of emotional support ties? Results showed that the extent of the support was affected neither by the geographical distribution of the networks nor by residential mobility. Living far from one's birthplace, however, exerted two distinct, and opposite effects on the support network structure. On the one hand, mobility led to high spatial dispersion of personal contacts, which in turn favored a sparsely knit network centered around the mobile individual. On the other hand, by controlling for the effect of distance between the contacts, we found that individuals that cited long-distance ties tended to be part of more transitive support networks than those that cited local ties. We interpreted the latter effect as evidence that transitive ties may survive greater spatial distances than intransitive ones. These findings are discussed in view of spatial mobility and social network research.     

中国城市“居住分异”模式的问题与对策

当前,我国城市化进程逐渐加快,导致城市发展出现一系列城市病问题,城市居住区呈现出越来越明显的"居住分异"现象,整个城市形成一种居住空间分化甚至相互隔离的状况,给社会健康发展带来一系列负面影响。混合居住是目前解决居住分异的一种重要途径。混合居住模式以消除居民的社会差异为住宅建设的社会意义和目标,是解决不同社会阶层隔离、促进不同居民交往的有效方法,有利于营造和谐的居住模式。     

Demography and housing demand—what can we learn from residential construction data?

There are obvious reasons why residential construction should depend on the population’s age structure. We estimate this relation on Swedish time series data and Organization for Economic Cooperation and Development panel data. Large groups of young adults are associated with higher rates of residential construction, but there is also a significant negative effect from those above 75. Age effects on residential investment are robust and forecast well out-of-sample in contrast to the corresponding house price results. This may explain why the debate around house prices and demography has been rather inconclusive. Rapidly aging populations in the industrialized world makes the future look bleak for the construction industry.

Family Therapy for Kids Without Families: Working Systemically With Children and Young People in Residential Care

A significant proportion (4%, Australian Institute of Health and Welfare, 2008) of children and young people in Australia live in some form of residential care, usually in small group‐homes staffed by residential care workers in shifts. However, as Hawkins‐Rodgers (2007) points out, these placements are often not resourced to heal the effects of trauma and multiple attachment disruptions in their residents. The lack of an archetypal ‘family’ has led in the past to family therapists considering that there is little work to be done with such clients. This leaves such placements to be supported most frequently by clinicians who specialise in behaviour management and other linearly founded models of practice. The Alternate Care Clinic (ACC) is the first mental health service in New South Wales dedicated entirely to children and young people in out of home care with a high level of complex needs. This article examines the systemic therapeutic model the clinic has developed in the last two years. In particular, the article seeks to explore the importance of ‘meaning making’ in a diffuse parental system, particularly with regards to the term ‘family’. The complexities of working in this area and possible ways forward are illustrated with a closely worked case study.     

An oracle-based algorithm for robust planning of production routing problems in closed-loop supply chains of beverage glass bottles

The demand for glass bottles is exhibiting an upward trend over time. The manufacturing of glass bottles is costlier in terms of time and resources and is associated with a higher level of heat generation and environmental pollution compared to recycling processes. In response to the aforementioned challenges, companies that use glass bottles need to implement strategies to manage their reverse supply chains in conjunction with their traditional supply chains, as the economic and environmental benefits of returned products are unquestionable. Closed-loop supply chains (CLSCs) integrate forward and reverse flows of products and information. This integration helps companies to have a broader view of the whole chain. Despite these advantages, managing CLSCs can be challenging as they are exposed to many uncertainties regarding supply and demand processes, travel times, and quantity/quality of returned products.In this study, we consider the production planning, inventory management, and vehicle routing decisions of a CLSC of beverage glass bottles. We propose an MILP model and rely on a multi-stage adjustable robust optimization (ARO) formulation to deal with the randomness in both the demand for filled bottles and the requests for pickups of empty bottles. We develop an exact oracle-based algorithm to solve the ARO problem and propose a heuristic search algorithm to reduce the solution time. Our numerical experiments not only show the incompetency of the customary method, namely the affine decision rule approach, but also illustrate how our algorithms can solve the small-size problems and significantly improve the quality of the obtained solution for large problems. Furthermore, our numerical results show that robust plans tend to be sparse, meaning the routes are chosen so that empty bottles are transported to production sites in such a way that fewer new bottles need to be ordered. Thus, robust planning makes the CLSCs more environmentally friendly.