Older people's experiences of community life: patterns of neighbouring in three urban areas

This paper examines changes to the community life of older people living in three urban areas of England: Bethnal Green, Wolverhampton and Woodford. All three were the subject of classic community studies in the 1940s and 1950s, these providing rich material about the lives of groups such as elderly people. Using this earlier research as a baseline, the paper presents data on how the experience of living in urban neighbourhoods has changed for older people in the intervening years. The article reviews the relationship between elderly people and their neighbours, drawing on quantitative as well as qualitative data. In conclusion, the paper identifies a number of general arguments pointing to the value of a community and locality perspective for understanding the impact of social changes on later life.     

On a Correction of the Scale MLE for a Two-Parameter Exponential Distribution Under Progressive Type-I Censoring

In this article, we present a corrected version of the maximum likelihood estimator (MLE) of the scale parameter with progressively Type-I censored data from a two-parameter exponential distribution. Furthermore, we propose a bias correction of both the location and scale MLE. The properties of the estimates are analyzed by a simulation study which also illustrates the effect of the correction. Moreover, the presented estimators are applied to two data sets. Finally, it is shown that the correction of the scale estimator is also necessary for other distributions with a finite left endpoint of support (e.g., three-parameter Weibull distributions).     

Joint model-based clustering of nonlinear longitudinal trajectories and associated time-to-event data analysis,linked by latent class membership: with application to AIDS clinical studies

Longitudinal and time-to-event data are often observed together. Finite mixture models are currently used to analyze nonlinear heterogeneous longitudinal data, which, by releasing the homogeneity restriction of nonlinear mixed-effects (NLME) models, can cluster individuals into one of the pre-specified classes with class membership probabilities. This clustering may have clinical significance, and be associated with clinically important time-to-event data. This article develops a joint modeling approach to a finite mixture of NLME models for longitudinal data and proportional hazard Cox model for time-to-event data, linked by individual latent class indicators, under a Bayesian framework. The proposed joint models and method are applied to a real AIDS clinical trial data set, followed by simulation studies to assess the performance of the proposed joint model and a naive two-step model, in which finite mixture model and Cox model are fitted separately.     

German family policy at the crossroads: analysing the impact of parental leave reform through simulation

Comparative studies of welfare reforms encounter two problems. First, the counterfactual problem is that in the real world schemes and their reforms do not coexist simultaneously and are hard to compare. Second, the contextual problem derives from the absence of comparable measures for change. Microsimulation helps to overcome these problems. It compares policy options – actual reforms or reform plans – simultaneously and provides a comparable measure: the disposable income of model families. This article uses a type–case approach to investigate recent reforms of the German parental leave benefit. Simulation makes those reforms comparable over time and across countries. Results show that the profile of the German scheme is changing from 'general family' towards 'dual-earner' support. Furthermore, the recent reforms make the German scheme converge towards the Swedish leave scheme. The recent reforms introduce a new concept of fairness and a focus on gender equality to German family policies.     

Rural child welfare practice from an organization-in-environment perspective

An "organization-in-environment" perspective can help researchers understand how rurality influences child welfare practice. Drawing from theoretical perspectives on environment and organizations, researchers find rural/urban differences in practice at the level of the organization, which is the immediate environment of child welfare practice, and also in the relationship between organization and environment. Results challenge previous findings of few differences between rural and urban practice and offer particular implications for rural child welfare practice.     

Mental illness,partial hospitalization,and the family

Summary When illness is socially defined, the task of therapy is to enable the patient to move from a sick role to one of maximal social functioning. In a day hospital setting, methods are explored to involve a patient with his family both directly and indirectly. Thus the patient is supported both in the treatment milieu and when he is at home. Not only the patient, but the family, is vulnerable at this time and each must be helped to make parallel and complementary shifts in interpersonal behavior. To view the family solely as a resource for the support of the ill member and his treatment is to fail to accept the need of the family as a whole for reorganization and strengthening.     

The emerging self in conceptualizing and treating mental illness

1. The course of severe mental illnesses is more heterogeneous than previously thought and is influenced by many complex, interacting factors. 2. The experience of self and capacity to cope of people with mental illnesses contribute to the recovery process. 3. Changes in traditional treatment models and a focus on broader societal interventions are needed to facilitate recovery. 4. Psychiatric nurses play an important role in these new developments as evident, for example, in the 3R Program (relapse, recovery, and rehabilitation).