The illness experience of persons with Parkinson's Disease

Background. Parkinson's disease is a chronic, progressive, age-related, neurodegenerative disorder with no known cause or promising cure. While substantial information is known about the pathophysiology of Parkinson's disease, little is known about the illness experience of persons living with the disease. The purpose of this study was to understand how persons with Parkinson's disease construct their illness experience and manage living with their illness on a daily basis. ^ Method. A qualitative study with an ethnographic approach employed the strategies of participant observations and fieldwork. Field data were generated from a two year exposure to two Parkinson's disease support groups in east Texas. Open-ended semi-structured interviews with seven men and seven women with Parkinson's disease were also conducted. These data were combined and analyzed using thematic analysis. ^ Findings. The illness experience is described through the metaphor "Sailing the Sea in The Eye of the Storm." This metaphor served as the overarching theme that covered the two interacting content themes of the voyage of Daily Negotiations in the Midst of Uncertainty and Reconstruction of the Self with Parkinson's Disease. Daily negotiations incorporated navigating daily activities with the uncertainty of both the progression and daily vicissitudes of the disease. Participants described their symptoms as progressive imprisonment that interfered with daily activities. The progressive nature of the disease required the participants to reconstruct their perceptions of themselves. Reconstructing the self involved the paradoxical balancing of preserving the self while simultaneously releasing aspects of the former self to reconstruct the self with Parkinson's disease. This process was reflected in four exemplars: I Know Me." "It's Still Me," "See Me." and "Remember Me." ^ Conclusions. This qualitative study illuminated the struggle of persons in dealing with the uncertainties and fluctuations of Parkinson's disease and the process of reconstructing their perceptions of themselves. The meaning and reconstruction of the illness experience expressed by participants will inform understanding beyond the disease itself to the illness experience that these participants must deal with on a daily basis. ^

A categorical data analysis approach to estimation of demographic characteristics for Texas county populations

The need for timely population data for health planning and Indicators of need has Increased the demand for population estimates. The data required to produce estimates is difficult to obtain and the process is time consuming. Estimation methods that require less effort and fewer data are needed. The structure preserving estimator (SPREE) is a promising technique not previously used to estimate county population characteristics. This study first uses traditional regression estimation techniques to produce estimates of county population totals. Then the structure preserving estimator, using the results produced in the first phase as constraints, is evaluated.^ Regression methods are among the most frequently used demographic methods for estimating populations. These methods use symptomatic indicators to predict population change. This research evaluates three regression methods to determine which will produce the best estimates based on the 1970 to 1980 indicators of population change. Strategies for stratifying data to improve the ability of the methods to predict change were tested. Difference-correlation using PMSA strata produced the equation which fit the data the best. Regression diagnostics were used to evaluate the residuals.^ The second phase of this study is to evaluate use of the structure preserving estimator in making estimates of population characteristics. The SPREE estimation approach uses existing data (the association structure) to establish the relationship between the variable of interest and the associated variable(s) at the county level. Marginals at the state level (the allocation structure) supply the current relationship between the variables. The full allocation structure model uses current estimates of county population totals to limit the magnitude of county estimates. The limited full allocation structure model has no constraints on county size. The 1970 county census age - gender population provides the association structure, the allocation structure is the 1980 state age - gender distribution.^ The full allocation model produces good estimates of the 1980 county age - gender populations. An unanticipated finding of this research is that the limited full allocation model produces estimates of county population totals that are superior to those produced by the regression methods. The full allocation model is used to produce estimates of 1986 county population characteristics. ^

Metropolitan Observatory for Street Children and Youngsters: A Chilean Experience of an Innovative Model

In Chile, street children and youngsters' situations have changed significantly over the last decades. The Metropolitan Observatory is an innovative organization that makes it possible to follow this velnerable group. The Observatory is becoming a pioneering actor in the subject, thanks to the participative work and agreed consensus of different institutions involved. The aim of this paper is to introduce the innovative cross-sectoral work done by the Metropolitan Observatory for street children and youth.