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The Computer Vision Syndrome Essay Example for Free

The Computer Vision Syndrome Essay Near 150 million individuals sit before a PC screen every day. A large number of them go through over ...

Tuesday, February 18, 2020

Complexity of dual diagnosis treatment Case Study

Complexity of dual diagnosis treatment - Case Study Example osis: Because of an amalgamation of two diagnoses, it is often difficult to establish whether the problem is majorly due to substance abuse, mental illness, or both (Australian Drug Foundation, 2013). 3) Complex treatment: The treatment of dual diagnosis consists of multiple steps, namely, engagement of patient in a health care service, keeping him/her in service, intervention, and finally relapse preclusion and rehabilitation (Watson & Hawkings, 2002). Major issues with treatment are resistance to treatment/non-compliance, relapse of one illness leading to subsequent relapse of the other, and pharmaco-dynamics and pharmacokinetics of the prescribed medication and alcohol/drug affecting each other. Even normal dosages prescribed by the doctor can lead to adverse effects in such scenarios (Australian Drug Foundation, 2013). Lack of support from society and health care staff is also a problem (Graham, 2013).   Unfortunately, most regular health facilities are incapable of dealing with multi-problems like these. Health practitioners and nurses do not have the training or the expertise to recognize, investigate, and treat these disorders Stigma is a social construction that demarcates people on the basis of a certain property, and then isolates and humiliates them because of that demarcation (Bos et al, 2013). Stigma leads to inhumane behaviour towards the victim (Goffman, 1963). The phenomenon of stigmatization is very common in the field of psychiatry. Since time immemorial both mental ailment and substance abuse have individually been regarded worthy of contempt. Stigma is of many different forms and manifests itself in many ways. It can hinder delivery of proper treatment by health care staff, socially isolate a person, or stall him/her from disclosing his/her true problems (stigma article). All these effects result in delayed treatment when disease has become advanced or relapses, resulting in increased costs (Biernat & Dovidio, 2000) Since dual diagnosis is

Monday, February 3, 2020

Quantitative Data Analysis Essay Example | Topics and Well Written Essays - 3000 words

Quantitative Data Analysis - Essay Example Below the introduction, the report provides a brief overview of the data used, including a statement on the adequacy, and the implications of this factor. Using the Statistical Package for the Social Sciences (SPSS), the study further explored specific features of the data used, including highlights on frequencies and descriptive statistics. Two extra variables (â€Å"the total number of health conditions that a doctor ever told an ELSA respondent they have or have had† and â€Å"prevalence of disabilities that limit activities†) were developed in SPSS and used for further analysis of the variations in heart conditions and correlation between income health statuses. Multivariate regression of depression scores and severity of disability was then performed as the last bit of analysis. A summary of the health statuses of the older people in England was provided just before the list of references that preceded the appendix (comprising syntax files obtained through the SPSS ). The data used to compile this report was obtained from the English Longitudinal Study of Ageing (ELSA). ELSA is an interdisciplinary resource for data pertaining to health, economic wellbeing and quality of life as people in England age (The Institute for Fiscal Studies, 2011). The data collected usually represents persons aged 50 years and above. The Institute for Fiscal Studies explains that the sample from which the data is obtained is representative of the English population falling within the recommended age bracket. This implies that the organisation takes time to calculate a sample size that would be both financially viable to reach as well as one that is not too small to represent the qualities under investigation (Lavrakas, 2008). Additionally, the results obtained from the representative sample have the added advantage of increased ease of generalization to the entire population that it was obtained from.