Discussion: Disease Analysis

Discussion: Disease Analysis
Discussion: Disease Analysis
Discussion: Disease Analysis
Week 5 Disease Analysis Paper For this assignment, you will select a disease of your choice and conduct a detailed analysis of that disease, exploring it from a balanced traditional and alternative health perspective. Begin by searching the Center for Disease Control (CDC) website Diseases and Conditions Index to choose a disease or condition of interest to you. Next, review the website for Healthy People 2020 for information related to the disease or the disease category (e.g., mental health for ADHD). In your paper, discuss the following: Prominent aspects of this disease Current data and statistics related to the disease Health disparities related to the disease Prevention strategies including complementary and alternative health therapies Contemporary research and clinical studies related to the disease An analysis of the pathophysiologic effects of stress related to the disease Evidence-based stress management interventions that might help with prevention or cure The paper should be between 3–4 pages. Incorporate at least three scholarly sources within the paper. Sources should be no more than three years old. Use proper APA format to cite and reference sources. Review the rubric for further information on how your assignment will be graded. Due: Sunday, 11:59 p.m. (Pacific time)
Uses of small area analysis
The methodology is often used in health services research to calculate the utilisation rate for a service in several geographic areas, such as counties, evaluate descriptive statistics, note differences in utilisation between counties, and attempt to seek explanations for these variations, such as service availability and doctors’ referral practice.1 Identification of areas of high utilisation help localise need and assist in the allocation of resources.
Small-area analysis provides the numerical data that allows researchers to consequently explore why, for example, utilisation rates of a service are much higher in one area than another. As well as greater need (for example higher levels of illness), other possible reasons for higher utilisation might include differences in illness behaviour, for example seeking medical help, diagnostic decisions of physicians or treatment decisions by physicians, as well as a greater availability of resources.
Other uses for small area data include:
Increasing knowledge – for example, understanding socioeconomic variations across geographic areas
Informing public policy
Supporting decision-making – for example, the need for additional clinical services
Defining small areas
There are no hard-and-fast rules for defining small areas, as Smith2 points out, and they may range from less than an acre to thousands of square miles, and from no inhabitants to many millions. However, a small area would typically be a region for which data such as healthcare usage are readily available, for example a county, city or postcode area.2
The General Household Survey reported data at the level of Standard Regions — nine in England plus Wales and Scotland. However, the UK Office for National Statistics (ONS) often publishes population estimates by age and sex at local authority and ward level.

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