784 resultados para Art and mental illness.


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There are nearly 200,000 licensed practicing nurses in the state of Texas, representing one-tenth of the nations' workforce. The prevalence of substance abuse among nurses is estimated to range between six and 20 percent in this professional group.^ Since March 1987, the Texas Peer Assistance Program for Nurses (TPAPN) has offered intervention, education, support and monitoring to nurses in Texas whose practice has become impaired due to substance abuse and/or mental illness. Since then approximately 44 percent of nurses who voluntarily signed participation agreements successfully completed the program; fifty-six percent have not. One determinant of completion for those nurses identified as chemically dependent is abstinence from mood altering substances. Other helping professions report higher rates of abstinence two years following treatment.^ The purpose of this study was to investigate the relationship between relapse, demographics, treatment variables, work setting, "stress" indicators and support factors for nurses who participated in TPAPN. A questionnaire was mailed to 1000 randomly selected nurses who had signed agreements since 1987 and were no longer active in the program. More than 41% of the questionnaires were returned undeliverable.^ Recipients of the questionnaire were known only to TPAPN, never to the investigator. All information was received anonymously except when the participant chose to sign the questionnaire. A cover letter explaining the study and inviting participation was enclosed. Completion and return of the questionnaire was considered consent to participate.^ Findings demonstrated a significant relationship between relapse and opiates as the drug of choice for past participants in the Texas Peer Assistance Program for Nurses. Significant associations were found among factors such as control at work, support, physical complaints, job security, self-esteem and employment in this sample. Respondents shared copious written comments about their experiences in TPAPN. These data were analyzed using qualitative methods and compared with similar studies of recovering nurses. Further research with nurses whose practice has been affected by abuse of chemical and mental illness is warranted. ^

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Limited research has been conducted evaluating programs that are designed to improve the outcomes of homeless adults with mental disorders and comorbid alcohol, drug and mental disorders. This study conducted such an evaluation in a community-based day treatment setting with clients of the Harris County Mental Health and Mental Retardation Authority's Bristow Clinic. The study population included all clients who received treatment at the clinic for a minimum of six months between January 1, 1995 and August 31, 1996. An electronic database was used to identify clients and to track their program involvement. A profile was developed of the study participants and their level of program involvement included an examination of the amount of time spent in clinical, social and other interventions, the type of interventions encountered and the number of interventions encountered. Results were analyzed to determine whether social, demographic and mental history affected levels of program involvement and the effects of the levels of program involvement on housing status and psychiatric functioning status.^ A total of 101 clients met the inclusion criteria. Of the 101 clients, 96 had a mental disorder, and five had comorbidity. Due to the limited numbers of participants with comorbidity, only those with mental disorders were included in the analysis. The study found the Bristow Clinic population to be primarily single, Black, male, between the ages of 31 and 40 years, and with a gross family income of less than $4,000. There were more persons residing on the streets at entry and at six months following treatment than in any other residential setting. The most prevalent psychiatric diagnoses were depressive disorders and schizophrenia. The Global Assessment of Functioning (GAF) scale which was used to determine the degree of psychiatric functioning revealed a modal GAF score of 31--40 at entry and following six months in treatment. The study found that the majority of clients spent less than 17 hours in treatment, had less than 51 encounters and had clinical, social, and other encounters. In regard to social and demographic factors and levels of program involvement, there were statistically significant associations between gender and ethnicity and the types of interventions encountered as well as the number of interventions encountered. There was also a statistically significant difference between the amount of time spent in clinical interventions and gender. Relative to outcomes measured, the study found female gender to be the only background variable that was significantly associated with improved housing status and the female gender and previous MHMRA involvement to be statistically associated with improvement in GAF score. The total time in other (not clinical or social) interventions and the total number of encounters with other interventions were also significantly associated with improvement in housing outcome. The analysis of previous services and levels of program involvement revealed significant associations between time spent in social and clinical interventions and previous hospitalizations and previous MHMRA involvement.^ Major limitations of this study include the small sample size which may have resulted in very little power to detect differences and the lack of generalizability of findings due to site locations used in the study. Despite these limitations, the study makes an important contribution to the literature by documenting the levels of program involvement and the social and demographic factors necessary to produce outcomes of improved housing status and psychiatric functioning status. ^

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Vestibular cognition has recently gained attention. Despite numerous experimental and clinical demonstrations, it is not yet clear what vestibular cognition really is. For future research in vestibular cognition, adopting a computational approach will make it easier to explore the underlying mech- anisms. Indeed, most modeling approaches in vestibular science include a top-down or a priori component. We review recent Bayesian optimal observer models, and discuss in detail the conceptual value of prior assumptions, likelihood and posterior estimates for research in vestibular cognition. We then consider forward models in vestibular processing, which are required in order to distinguish between sensory input that is induced by active self-motion, and sensory input that is due to passive self-motion. We suggest that forward models are used not only in the service of estimating sensory states but they can also be drawn upon in an offline mode (e.g., spatial perspective transformations), in which interaction with sensory input is not desired. A computational approach to vestibular cogni- tion will help to discover connections across studies, and it will provide a more coherent framework for investigating vestibular cognition.