Limitless A Memoir About Theater free essay sample

It was the finish of scene two, and I had been in the hair-and-cosmetics relax for as far back as thirty minutes. Presently, I was remaining at the entryway standing by to start my scene. We had been practicing for a considerable length of time. In spite of the fact that we had gone over the play an aggregate of multiple times that day, just currently did my heart endeavor to escape from my body, beating hysterically and sending waves of trembles through my body toward each path. It was dread, it was expectation, and when the entryway opened, it was no more. In those couple of steps from the entryway to the path between the crowd, I had become Jacob Marley of Charles Dickens’ celebrated A Christmas Carol. As I went for that spooky stroll down the path, the clatter of the chains folded over my body attracted everyone's eyes to me. Under some other conditions, I would have dropped the chains and ran as far as possible home, yet this was unique. We will compose a custom article test on Boundless: A Memoir About Theater or on the other hand any comparative subject explicitly for you Don't WasteYour Time Recruit WRITER Just 13.90/page I was no longer Lundyn; I was Jacob Marley there to caution Scrooge of his future. It was all only a down to earth joke until that second. I had apathetically tried out for the job of Ebenezer Scrooge and wound up being Jacob Marley. I went to each practice and adhered to all the directors’ guidelines, however none of it truly struck me until that second. It was frightening, to have the entryways open and have everyone's eyes on me. Be that as it may, it was astonishing to turn into an individual I was not and treasure the chance and second. I was Jacob Marley, and I told the audience’s consideration with each chain-shaking step I took. Before that second, I had consistently been that tranquil young lady who was totally fulfilled being caught in her own miniscule and bound air pocket of quietness. Presently, in addition to the fact that I desired the consideration, yet I likewise completely grasped it. It was an everlasting second that solitary the magnificence of nature can ever characterize. As I expressed the words I had practiced on many occasions, I conveyed them with exact style and freed them from my substance. Valuing this exact instant, I saw as the crowd coated at me with according to a bird of prey. Unphased by my underlying uneasiness, the second seemed unending. The second showed up in moderate movement, and I needed it to last. A surge of adrenaline furnished me with restored vitality, reducing my tension. I had felt unimaginably amazing, however no words can ever depict the superb inclination I encountered. In that exact instant, in spite of the fact that my character had been enveloped with chains, I had come to acknowledgment that I was totally over the top.

Muhammad Ali - Cassius Clay :: essays research papers

I consider a saint somebody that has done incredible things. A portion of the things that I consider incredible are, cultivated hard objectives, supported their own privileges, done things that would be difficult for me to do, and done things that are uncommon. Muhammad Ali-Cassius Clay is somebody that fills my norms of a saint. Muhammad Ali has achieved hard objectives by getting decorations in the Olympics. Muhammad Ali needed to go to bat for his privileges when he began to box. He has achieved things throughout his life that would be difficult for me to achieve. Muhammad Ali has done things that I believe are extremely glorious. The thing Muhammad Ali has done makes him a legend to me. From the outset Muhammad Ali had no intension of boxing. After his bicycle was taken, in the period of October 1954, when he was twelve, his entire life predetermination changed in a moment. After discovering that there was a cop in the storm cellar of a rec center, Ali went down in a loathsome perspective shouting a â€Å"state wide bicycle chase (http://www.planetpapers.com/jump.cgi?ID=182.html),† and said he was going to pummel the individual that sole his bicycle. The manner in which his life changed was that the cop inquired as to whether he realized how to battle and he said â€Å"no.† The police officer offered Ali exercises in how to box with the goal that he could look for on the bicycle hoodlum. This was the beginning stage in Muhammad Ali’s boxing profession. In the late fifties, Cassius Clay rules Golden Gloves And the AAU national boss. A fast battle at the Rome Olympics in 1960, Cassius Clay a young person thumps beats a Polish contender by the name of Zbigniew Pietrzykowski to a â€Å"bloody pulp.† Muhammad Ali brought home the gold. In 1962 Muhammad Ali expresses that he will take out Archie More in the forward round. His expectation worked out as expected. In 1964, Muhammad Ali became world overwhelming weight champing by beating Sonny Listen. Despite the fact that he didn't take him out, Sonny would not enter the seventh round creation Muhammad Ali best on the planet. Subsequent to taking out Zora Folley, he didn't battle for three and a half years. During this time he was defending his privileges during the Vietnam War. He stated, â€Å"I have no Quarrel with Viet Cong (www.usatoday.com).† He would not like to battle in light of the fact that the more soldiers we sent in, the more we lost.

Goodbye Free-Body Diagrams

Goodbye Free-Body Diagrams sketchbook, pencil, tape, drafting board, knife, T-Square, tracing paper, refill lead, glue, wood, drafting dots… Wooooooo â€" I arrived at my work space in the intro architecture studio to find this: This is simply a dream. One of the most exciting things about partaking in art-related anything is the sheer range of supplies you get to use! Although all of the above goodies are complementary with the class, I still need to go out and buy fome-cor this weekend. Not complaining…yet. I really hope expenditures for 4.111 materials will be manageable as I can no longer depend on the parental units for feeding this creative money-sucker habit of art-making. (OK a classmate just informed me that we could quite possibly be charged a lab fee but oh well, a sketchbook is a sketchbook!!! :P) The following is a crop of the syllabus we got for studio this semester. The purported “blizzard” that otherwise left 49 of the 50 US states covered somewhere in snow last week, forgot about dear Boston. But this past Tuesday brought an actual blizzard that killed our plans again. In the shot above, Professor Bill Hubbard describes our sad 4.111 week. So essentially, today was the first real session of studio, and we… practiced drawing a regular floor plan of our lecture space, just to get acquainted with representing a real 3D space on paper… practiced drawing a section plan with a little person inside, as to imagine a body inhabiting a space and learned about our first project: we’re given a long stretch of lake-front space and a single wall, as shown above, and essentially have to design an environment for one person’s perfect reading experience â€" taking into account sunlight and shadows, views, the estate close by, etc. One thing I realized during the 3-hour process was that I need to use the materials now! No more saving everything for later, long-lasting use! Architecture is about to take over my life, and it should Im beginning to experience the huge transition from taking mostly GIRs to classes in something you want to commit to. Commitment is scary, guys! (End/rambing) More pictures! :) Our workspaces! Equipped with drawing/cutting boards and T-squares! The knife with which I will do much damage. :P Sam 12, revelling in his new sketchbook. An overhead drawing demo during lecture. Lastly, Prof. Hubbard used drafting dots during a demo, and I thought it was the coolest thing ever. Who knew something made of some puny paper and plastic can be so perfect! They’re like Pez dispensers for drafting dots! Drafting dots, by the way, are used to mildly tape down tracing paper and the like. I have a feeling Ill be using lots of those. Hooray for second and last half of the week! ‚ò?

Argumentative Essay About Pranks - 1214 Words

Sasha :Years ago, the all famous prank was invented. Melina ;My favourite prank is - (sits down) Um why am I stuck to the chair Sasha this was not part of the script! (cuts to next scene) Sasha: okay that was funny, but when do online pranks really go too far? Melina : from weapons, and self defense being used against these pranks, and even the pranker themselves getting hurt during to process, Sasha: to abuse,laws that have been broken and straight up crimes being caused. M/S : we are here to tell you why online pranks are going way too far. TITLE PAGE: Reason 1: M ; self defense occurs when the body feels it is in danger, and in these examples, these victims had a right to use self defense. S: a few months ago around†¦show more content†¦M: In some very serious and dangerous pranks actors have bullied, been abusive (verbally, sexually, physically, and emotionally) toward whom the prank is being pulled on. S;Or the actors have been accused of child abuse as viewers reported to the parents pulling the â€Å"invisible ink prank† on their nine year old son. M: lets start off with the very popular youtuber, Sam pepper. S: Sam pepper is very well known for his pranks. M: He started to make these new â€Å"pranks† where he would go around handling women in ways that he definitely should not. S: he would then point to someone else, and say â€Å"oh it wasnt me, it was them!† M; it is absolutely disgusting that he covers up assault by saying it’s a prank. S; even then, the videos would get a huge amount of views, which meant more income, so he would do anything if it meant more money. M; the next scenario also involves Sam Pepper. Its starts off with sam, and his friend,(who is not in the prank lets call him Jim) driving through a dark alleyway. S: when the car â€Å"breaks down† they both hop out to try to fix the hood. M; when another man (who is in on the pranks let’s call him bob) runs up behind jim who is not in on the prank, and puts a black bag over his head and smuggles him to the ground. S; Sam and bob then pretended like bob was going to kill Sam, and made jim watch and suffer the pain of thinking he was going to lose his best friend Sam. M; here is a very quick audio clip, and evenShow MoreRelatedAnalysis of The Man with the Twisted Lip, The Adventure of the Speckled Band, and The Red Room2090 Words   |  9 PagesThe Adventure of the Speckled Band, and The Red Room The Victorian era was a time of great change; industrialisation, imperialism, scientific discovery. These changes reflect in the new topics of contemporary literature. In this essay I am going to look at the effect created by Arthur Conan Doyle and H G Wells in three short stories, analysing how this effect has added to the plot, setting and atmosphere. In order to fully understand the ideas behind these short storiesRead MoreIgbo Dictionary129408 Words   |  518 PagesEdition II and Native Agents of the C.M.S.’, and alphabetically arranged by the Hon. L.E. Portman and Miss Bird. A number of words are marked as being from Abá »  (Aboh), á »Å'ka (Awka), or other dialects. No date is given on the typescript, but it is dated à ¡bout the year 1906 in the preface to a companion work, a Dictionary of the Ibo language: English-Ibo (1923). This latter work was also largely the responsibility of Dennis, and it is listed under his name in bibliographies, although his name does not appear

My Favorite Place - Free Essay Example

Sample details Pages: 2 Words: 513 Downloads: 3 Date added: 2017/09/15 Category Advertising Essay Did you like this example? Campus life is full of new experiences and challenges, and is the time to add a new lifestyle and more responsibilities to your plate. It is a place where you get treated like adults and are here, by choice to further your education and to achieve your goals in life. We as adults have to take on responsibilities, and you choose to do them, it is really up to you. Don’t waste time! Our writers will create an original "My Favorite Place" essay for you Create order People who enroll in school should be ready for what campus life has to throw at them. The decision to continue your education in college is one that needs to be made with the understanding of reaching your lifes goals. The purpose of college is to educate yourself , so when making that decision, it is a priority to ones new lifestyle. To enter college without the desire to learn is really a waste of time. While in college, you have to be mature enough to manage things on your own. You have to be able to rely on your own self to get things done. Attending classes, completing homework, and studying, are some examples of being a responsible adult in college. Scheduling your life is a priority to campus life. A college student must find time in their busy schedules to study. A normal adult may have time to get everything done and still have time to spare. A college student on the other hand, is constantly on the go. College students have busy schedules that include working, studying and socializing. College can be stressful if students fail to balance life on campus and life outside of campus. Many students attend college while working part-time or even full-time jobs. After studying for a test or preparing for a presentation at work, students should be able to take time for enjoyable activities such as reading a book, going for walks, socializing with friends, seeing a movie, and other activities to relax their minds. Being a responsible adult, a student should know their limitations to having freedom. One example, if a student has to study for a test and their friends want to go out and party, that’s when the student should think of priorities. Teachers will not be on a students’ back, regarding homework. If you did your homework, good, if you didn’t, too bad. Keeping your grades up is a big commitment to starting school. Getting good grades also can get pretty hard for many students, especially if you have a family, or a full time or a part time job. Attendance is a plus. Attending class regularly helps students with classroom material, and they can earn attendance points. Students come to realize that campus life is not as easy as they might of hoped for. Many students seem to believe that college life is filled with parties and freedom. Once a student walks through the doors of a university, that’s when the real world begins, and it’s time for maturity to kick in. Campus life can be a tough challenge, but at the end, it does pay off.

What Influences Free Clinic Usage by the Uninsured Free Essays

string(73) " eliminating the need for hospitalization \(Corso Fertig, 2011\)\." What Influences Free Clinic Usage by the Uninsured? By Shelli Thomason A Paper Submitted to Dr. Dayna McDaniel Research Methods PA6601 Term 5, 2012 Troy University July 27, 2012 TABLE OF CONTENTS CHAPTER 1 Introduction †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. We will write a custom essay sample on What Influences Free Clinic Usage by the Uninsured or any similar topic only for you Order Now 4 Statement of the Problem†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 5 2. 1 Purpose †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 6 2. 2 Problem Statement†¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 6 2. 3 Research Questions†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 6 2. 4 Scope†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 1. Literature Review†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã ¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 9 Dependent variable†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 9 1st Independent variable†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 11 2nd Independent variable†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 13 3rd Independent variable†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 14 4th Independent variable†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 16 4Hypothesis†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦18 4. 1 H1: hypothesis one†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 18 4. 2 H2: hypothesis two†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 18 4. 3 H3: hypothesis three†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦18 4. H4: hypothesis four†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 18 Chapter II: Methodology Design†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦ 18 Population/Sample†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 20 Variables†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦21 Dependent Variable†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 21 Independent Variables†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦. †¦Ã¢â‚¬ ¦22 Data Collection†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦22 Measuring Instrument†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ †¦Ã¢â‚¬ ¦. 22 Materials†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 23 Delivery Method†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 24 Data Analysis†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. †¦ 24 Chapter III: Anticipated Findings†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 25 Chapter IV: Conclusion†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦25 Implications†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦26 Recommendations†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â ‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦26 References†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦28 – 30 Appendices Appendix A Schematic Model†¦. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ †¦.. 31 Appendix B Formula for Calculating Population Sample Size†¦. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 32 Appendix C Survey†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. †¦Ã¢â‚¬ ¦ †¦ 33 – 35 Appendix D Demographics†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦36 Appendix E Example of Multiple Regression results†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦37 Chapter 1 Introduction Many United States residents delay or do without necessary healthcare because they lack the resources or knowledge to access it. There are 46 million people in the nation who have no health care coverage, and by not giving necessary attention to medical concerns and conditions, poor health risks increase, along with untimely mortality (Darnell, 2010). A Kaiser Commission study from 2006 identifies there are 18,000 deaths yearly in the United States resulting from lack of health care coverage (Trask, 2011). Recent Census Bureau shows a slightly higher number of uninsured indicating there are 50 million uninsured, which would be the largest number on record, resulting from the national economic recession (Krisberg, 2010). According to Darnell (2010), there are 1007 free clinics in the nation, providing services during 3. 5 million clinic visits, by 1. 8 million uninsured patients, representing approximately 10% of uninsured adults of working age. The patients have no other health care alternatives to a free clinic due to a variety of factors including: no ability to pay, language barriers, lack of or inadequate medical insurance, homelessness, inaccessibility, and immigration or ethnicity issues. As private non-profit organizations, free-clinics are not recipients of federal funding, so many rely on state funding, local funding, and donations. Depaul (2010) notes that the National Association of Free Clinics estimated four million patients were seen in 2008, which doubled in 2009. It is also noted that free clinics have to turn away patients because they cannot meet the demands. In a white paper for the American College of Physicians, Gorman (2004) notes, those who do not receive annual exams and preventative screenings run the risk of a delayed diagnosis and subsequent treatment, resulting in premature mortality. Additionally, untreated chronic symptoms result in worsened conditions and costly emergency care, placing a financial burden on hospitals, families and ultimately on the community. Furthermore, workers who experience poor health have lower productivity which is costly to the economy. Therefore, free clinics are a crucial component in the consortium of health care options in the United States. Isaacs and Jellinek (2007), state that 80 % of patients who receive primary care at a physician’s office are either uninsured or have Medicaid. Although physicians may see uninsured patients in their offices and take on a few of them as charitable cases, this practice is declining given lower insurance and Medicaid reimbursements and increased operational expenses. The nation has what is referred to as a safety net system to provide health care services for residents who are uninsured. This system is comprised of hospital emergency rooms, publicly funded health centers, and free clinics. With costs of health care escalating, it is crucial to identify methods to effectively optimize these providers. It has been suggested that accessibility to free clinics, which may keep the uninsured from accessing the ER for non-emergent care, is one such method. Studies show uninsured persons utilizing a free clinic have fewer emergency room visits than those who do frequent the ER for their primary care, which renders cost savings (Trask, 2011). Statement of the Problem Purpose The purpose in this research is to make determinations as to what factors influence an uninsured person’s decision to access the services of a free clinic. In an effort to answer this question, factors will be recognized, through research, significant to a person making the decision to visit a free clinic for medical care. Uncovering these factors could assist in discouraging the misuse of other types of medical safety net provisions. One study shows if the group studied did not have use of a free clinic, 80% of the visits would have resulted in ER visits for non-emergency treatments (Corso Fertig, 2011). This information could also assist in identifying strategies to effectively address the health care needs of constituents and provide funding sources with knowledge to make educated decisions on the most effective use of funds. Problem Statement This project will pinpoint the most acute variables influencing an uninsured person to seek treatment at a free health clinic, allowing local government leaders and medical providers to have access to research so they may further understand areas in which to place their focus and funding. Furthermore, an ancillary reason for study is to show that by providing an uninsured person who is truly ill with a way to achieve wellness, they can become viable again, thus becoming a more productive worker, who may regain insurance and no longer need the free service, or any other type of medical care. If a person has a resource within which to address health concerns, that does not present them with barriers, they are likely to receive the necessary care needed, reducing further complications and costs, placing them in a position to become more sustainable. In one Healthcare Georgia study, evidence shows that free clinics can halt the escalation of health problems, reducing or eliminating the need for hospitalization (Corso Fertig, 2011). You read "What Influences Free Clinic Usage by the Uninsured" in category "Essay examples" Research questions This project will focus on four research questions that will aide in identifying specific factors that influence an uninsured person to use a free clinic (dependent variable). The primary question to be asked is â€Å"What factors influence an uninsured person to use a free clinic? Research questions inquiring about those influences (independent variables) are: 1) Does lack of alternative health care options influence an uninsured person to use a free clinic? 2) Does housing status influence an uninsured person to use a free clinic? 3) Does Hispanic ethnicity influence an uninsured person to use a free clinic? 4) Does age influence an uninsured person to use a free clinic? The independent var iables thought to influence the dependent variable are defined so there is a clear understanding of their meaning. Lack of other alternatives: Many users of free clinics may have no other options for health care than a free clinic. They may be employed, but cannot afford the health care premiums offered by their employer or the employer does not offer health coverage. 83 percent of the patients seen at free clinics come from a working household and may hold two or three part time jobs (DePaul, 2010). Federally funded community health centers, different from free clinics, are typically located in rural or inner-city areas and help serve a large number of patients in high-needs communities. In 2009, the Government Accountability Office indicated that even with 8000 community health centers, there were still 43 percent of underserved areas without access (Whelan, 2010). Housing Status: The definition of â€Å"homeless† is a broader scope than merely the population living on the streets and includes individuals in a widespread range of unstable housing scenarios. Homeless individuals do not only live under bridges or in a car, but may also reside in emergency shelters; foster homes; HUD’s terminology of â€Å"doubling up† with relatives or friends; or tenants who have been served an eviction notice. Unstable housing status is a high risk factor for health disparities, much like genetics or eating habits. On average, a homeless person has eight to nine coexisting health problems (Batra et al. , 2009). A study of 6,308 homeless Philadelphians determined the mortality rate among the homeless was 3. 5 times that of the city’s overall population. Earlier research has also noted the homeless have escalated rates of a vast array of health problems (Lewis, Andersen and Gelberg, 2003). Age: Different clinics have differing eligibility for the patients they serve. Many states have the option to offer an insurance plan covering children through the passage of the Children’s Health Insurance Program Reauthorization Act (Llano, 2011), then those over age 65 have Medicare. Therefore many clinics tend to turn their efforts toward those uninsured patients between the ages of 18-64. A 2004 study shows that overall general health significantly declines for those between age 50 and 60 if they are uninsured, underinsured or sporadically insured, compared to their counterparts who have adequate health coverage (Inguanzo and Kaplan, 2011). Hispanic Ethnicity: Llano (2011) states the greatest hindrance to health care for Hispanics is the language barrier. Providers of service have difficulty communicating with Spanish speaking patients if there is no interpreter available, which may cause compromised diagnoses, treatment options and specialty referrals. Census Bureau data reveals that in 2010, 38. 7 percent of uninsured American residents were Hispanic (Inguanzo Kaplan, 2011). Scope A survey will be completed, as part of this research. This project’s scope will investigate what influences an uninsured person’s visit to a free clinic. It will assist the free clinic administration in further developing strategic plans to make determinations on where their efforts should be focused. It may also contribute to local governments and other potential grantor’s decisions on making allocations. Free clinic usage is the primary focus, although the collective information may show related trends and concerns constructive to area healthcare providers and local governments. Each person surveyed will be treated equally. This study’s sample population will include patients of two free clinics: Community of Hope Health Clinic and Cahaba Valley Health Care Clinic in Shelby County, Alabama. The clinic only sees uninsured patients on Mondays from 8:30 am to 4:30 pm and Thursdays from 5:30 pm to 8:30 pm. They must show proof of residency in Shelby County. Literature Review Dependent variable: Free clinic usage by the uninsured As stated earlier, experts concur that there are over 1000 free clinics in the nation, providing services during 3. 5 million clinic visits, by approximately 10% of uninsured adults of working age (Darnell, 2010; Gertz, Frank and Blixen, 2010; George Washington University Report to Congress, 2012). This equates to approximately 90% of uninsured adults who are not utilizing a free clinic for their medical needs. Gertz, Frank and Blixen (2010) go further to say that since 1980, when there were 30 million uninsured people, there has been a 50% increase to 45 million. From a statewide perspective, Rhode Island remains consistent with national levels, as uninsured working age adults under age 64 doubled between 2000 and 2005, citing the waning of employer health care coverage (Gerber, et al. , 2008). The yearly cost associated with uncompensated medical treatment for the uninsured in the nation was $56 million in 2008. Determinations were made to suggest that use of emergency rooms for non-emergent care, along with rising hospitalization which could have been prevented are on the rise and creating costly problems. Communities are seeking other solutions to provide health care to the uninsured, which might include free clinics, mobile clinics, and church and school sites to administer treatment (Fertig, A. , Corso, P. Balasubramaniam, D. , 2011). As stated earlier, free clinics are an important part of the United States health safety net, serving mainly the uninsured, working poor. Historically, given minimal resources and relying on volunteer health care providers, free clinics have focused on gap filling, temporary solutions to the population’s health problems. Implementing a new paradigm, free clinics are now making disease prevention and health promotion a top priority (Scariarti Williams, 2007). A nationwide cross-sectional study using a survey was conducted by Gertz, Frank and Blixen (2010) which they compared to the only other known published study of its kind by Nadkarni, et. al from 2005 to determine free clinic characteristics. Both studies revealed a mean of between 4,000 and 6,000 uninsured visits to the free clinics annually, and a third study agrees that most (67%) are located in the Southern region of the United States (Gertz, Frank Blixen, 2010; George Washington University Report to Congress, 2012). Additionally, 77% of the respondents of the Gertz, Frank and Blixen study (2010) indicated the level of care received at free clinics was superior to prior medical care received, and 24% indicated if there was no free clinic available, they would not seek care, mainly due to cost. A high number of free clinics seem to function as a fixed source of medical care for their patients. The majority of free clinics describe the service they provide to their patients as continuing, 20 percent indicate the care as recurrent, and 5 percent depicted the care as irregular, only seeing a patient once (George Washington University Report to Congress, 2012). In contrast, prior to the recent national economic recession, a study associated with the utilization of three Massachusetts free clinics was conducted to determine what factors influenced people to use the free clinics, when it appeared there were a variety of ample options for medical care irrespective of health care coverage or income level. Although the study unveiled the three free clinics saw patients who had insurance, 81% of the respondents were uninsured (Keis, DeGeus, Cashman Savageau, 2004). Lack of health care coverage, is the sixth-leading cause of death, equating to 18,000 deaths annually for adults between the ages of 25 and 64 (Groman, 2004). The uninsured person may encounter severe financial and wellness obstacles, limiting their ability to obtain medical care and many times become indebted and more ill, as a result. A study conducted by Becker (2001) found that not only did uninsured persons with chronic health conditions lack adequate health care; their illnesses were also inadequately managed. Other findings were that with deficiencies of education regarding their health, those persons who are uninsured lacked the information, understanding, and resources that would allow them to manage their illnesses more effectively. Many uninsured patients can pay more than double the cost if they are forced to use a hospital for their care, due to the inability for price leveraging that medical insurance providers can afford (Groman, 2004). 1st independent variable: Lack of other options The National Association of Free Clinics indicates they see patients they never thought would come to a free clinic, with 83% of free clinic patients come from working home, but cannot afford COBRA if they have lost a job and are now working several part time jobs. Patients have reported they would likely go the ER or not seek care if they did not have access to a free clinic (Depaul, 2010). Private practice doctors are the primary source of health care for the uninsured, mainly because, historically, they have been plentiful in numbers, with 720,000 providing care according to Isaacs Jellinek (2007). A second expert (Groman, R. 2004), agrees that free care by physicians is decreasing, which will greatly impact the medical safety net with growing numbers of uninsured. As stated earlier, the decline is largely the result of higher operating costs and inadequate Medicare reimbursement rates, prohibiting the doctors from being able to treat those who cannot pay (Isaacs Jellinek, 2007). Even though charity from practicing physicians plays a vital role in treating the uninsured, they are not stand-ins for health insurance. Because of revisions to financing and rganization of medical care systems, doctors indicate in a New York Academy of Medicine study, they are unable to provide the same class of care to the uninsured, as they provide to patients who have health care coverage (Groman, R. , 2004). A recent report to Congress indicates that free clinics overall see millions of uninsured persons who may not achieve any level of care elsewhere. One study highlighted in the report reveale d four main reason listed in order of percentage, people use a free clinic are: no health insurance (82%), referrals by others (59%), medications (38%), and no knowledge of where else to go (34%). The report also states that three quarters of free clinic patients do not have a regular method of care except the free clinic or the ER, suggesting free clinics fill voids, offering services not available (or easily reached) somewhere else (George Washington University Report to Congress, 2012). The Keis, et al. (2004) study is in accord with the report to Congress in that one-third of survey respondent gave their reason for using a free clinic as not knowing where else to go to receive medical attention. Another one-third cited lack of transportation, long wait times, finding child care or inability to leave work as the primary reasons they could not use other types of medical providers and instead sought treatment at a free clinic. As already learned, access to local safety net providers has limits to readiness in other ways as well. For example, in Jeffrey Trask’s unpublished dissertation (2011), he cites and agrees with the Keis study stating that other than the emergency room, many safety net providers aren’t open in the evenings or are scarce, so due to the need to work, a patient’s only option may be a free clinic open in the evenings. Likewise, clients of free clinics forego after care or specialty care only a hospital can offer due to costs. Trask (2011) gives the example, when an uninsured person using a free clinic needs additional services outside the free clinic’s scope of care, sometimes old or bad debt is a major obstacle to receiving necessary treatment. Finally, options are limited for people who are not legally residing in the country. A collective characteristic of a free clinic is capacity to treat any patient without documentation regarding immigration status (Keis 2004). In a 2010 national survey, a census, the first of its kind in 40 years, 764 clinics were deemed eligible out of 1188 surveys mailed. A finding from the study uncovered that free clinics are a more important aspect of the national safety net, especially in the area of ambulatory care that originally thought. However, only 188 of the clinics surveyed offered all-inclusive services, and the survey concluded that a free clinic is not a replacement for comprehensive primary care (Darnell, 2010). 2nd independent variable: Hispanic ethnicity Hispanic persons comprise approximately 16 percent of the population in the U. S. but make up 25 percent of free clinic patients. Experts agree that unbalanced degree of Hispanic patients in free clinics indicates higher rates of lack of health care coverage among this group (George Washington University Report to Congress, 2012; Isaacs Jellinek, 2007), with the latter authors citing an example from a Racine, Wisconsin clinic who had a one percent Hispanic patient base in late 1980s and a 50 percent Hispanic patients in 2006. Results were compared from two student-run free clinic studies on clinic characteristics and concurred that most of the patients were minorities. One study of 59 clinics reported that 31% of the patients seen were Hispanic, while the other study of 39 clinics revealed 53% of patients were Hispanic. The student run clinics demographic is quite different from non-student run clinic who report a client base of mainly non-Hispanic people (Gertz, Frank Blixen, 2010). Studies indicate that Hispanic persons are more likely than non-Hispanics to fail to complete the Medicaid application and miss important dates for submitting required documentation. Furthermore, 43 percent of Hispanics who speak Spanish had communication problems with physicians compared to 16 percent of Caucasians; and non-English speakers had more difficulty in comprehending doctor orders (Llano, 2011). Because of non-existent health insurance and consequently no immunizations, a considerable outbreak of rubella plagued a Hispanic community in New York in the late 90s. The outbreak spread to adjacent communities and those with insurance were just as affected. In communities with high numbers of uninsured residents, it becomes more ifficult to provide disease control, and medical personnel have fewer opportunities to identify early onset of outbreaks, hampering containment efforts (Groman, 2004). In a report examining the unmet medical needs of the nation’s Latino population conducted by the American College of Physicians and the American Society of Internal Medicine, it was discovered that uninsured women had twice the likelihood as their non-Latino pee rs to be diagnosed with breast cancer in the later stages and uninsured Latino men were four times as likely to receive a prostate cancer diagnosis compared to non-Latino men. It is suggested that Hispanic and Latino immigrants are very unlikely to have the ability to access health care services due to governmental restrictions of the Personal Responsibility and Work Opportunity Reconciliation Act of 1996, and fear that their citizenship opportunities will be compromised by attempting to secure public aid assistance (Inguanzo and Kaplan, 2011). 3rd independent variable: Homelessness According to Wilson (2009), there are close to 800,000 homeless people in the nation, many of which have multiple disorders to include asthma, nutritional deficiencies, skin infections, wounds, and diabetes, to name a few. Wilson’s and O’Connell’s research goes on to say that the homeless person’s ailments which are largely left untreated and worsen, lead to devastating illness. The mortality rate is excessively high in the homeless populace. O’Connell (2005) agrees with Wilson’s conclusions with regard to high mortality rates, and that homeless people are three to four times more likely to die than the general population. The risk is greatly increased in those homeless persons between the ages of 18 and 54, and that younger homeless women are four to 31 times more likely to die than their housed counterparts. Life expectancy in the general population is 78 years of age, and falls to between 42 and 52 years of age for the homeless population (O’Connell, 2005). Approximately 9 to 15% of the US population becomes homeless during their lifetime. Those who are truly without a place to stay and are considered literally homeless may be included in this figure, although the homeless are transient and in and out of shelters. Additionally, this figure may include those who HUD calls â€Å"doubled up† or â€Å"couch-homeless†. Other developed countries have a lower rate of this ategory of homelessness than the United States (Hoback and Anderson, n. d. ). For the U. S. overall in 2000, the estimate is 1. 65% of the population is â€Å"couch-homeless† (Census Bureau, 2000). One study highlights the Columbia-Harlem Homeless Medical Partnership (CHHMP), a free clinic run by students, that targets Manhattan’s homeless, providing medical students with a service learning opportunity and simultaneously, providing a medical home for homeless patients. Free student-run clinics are an integral piece of the medical safety net. In these learning settings, the requirements of medical students and in-need patients transect with the outcome of quality medical care. The disordered lifestyle of the homeless patient requires outreach to this population and a need for relationship building. This type of need is not feasible in the medical school setting but can be met at a student-run free clinic. Students are able to deal with the human side of public health disparity and learn more about other services and make referrals that can assist the whole patient, such as housing, health screenings, mental health providers, etc. (Batra, et al. , 2009). In congruency with the independent variable of other options stated earlier, an interview study of 2578 homeless and sporadically housed persons indicated that housing instability, abuse, multiple arrests, physical and mental conditions, as well as substance abuse were contributing forces to causing heightened usage of emergency rooms with a trial study group revealing on average seven visits per year. Galwankar (2004) and Whitbeck (2009) both conducted studies which emphasized the need to decrease emergency room use among the homeless populations, by focusing on identified risk factors from a public health standpoint (Galwankar, 2004). A large percentage of the homeless use hospital emergency departments for their primary care, even though it is not the most effective method of medical care for them, as it cannot provide continuity. Additionally, for hospitals and governments it is not cost effective (Whitbeck, 2009). Independent variable: Age Eighty percent of free clinic patients are between the ages of 18-64; with 12% being children and elderly being eight percent (George Washington University Report to Congress, 2012). Two pieces of literature agree with he statistic that one in every six people ages 51 to 61 partaking in the National Academies Health and Retirement Survey who were at the start of the survey, uninsured, developed a new finding of stroke, cancer or heart disease, over the next six year period (Institute of Medicine, 2012; Inguanzo Kaplan, 2011). In agreement with an IOM report cited, a national trend study from 2007, looking at 10,088 uninsured older working age adults, found that this group is less likely to receive regular preventative screenings for breast cancer, prostate cancer and cholesterol that those with insurance in the same age group. Additionally, women who are uninsured or are on Medicaid have a more advanced stage of breast cancer at first diagnosis and lower survival rate than their counterparts who have private health coverage (Gerber, et al. , 2008). In a 2009 Kaiser report, 30 percent of people between the ages of 19 and 29, are uninsured, the highest proportion of any age group. Though the majority of these young adults are working, they experience lower pay scales, and often find health coverage too expensive for their budget. Most people in this age group reported they were in good health, but 10 percent indicated they were in poor or fair health; twice as many as those with medical insurance (Weaver, 2010). Now, in 2012, many of this age group, because of provisions under the Affordable Care Act, will now be able to remain a dependent on their parent’s insurance policy until age 26, thus likely reducing the high percentage of uninsured in this age group (The White House, 2010). The number of children nationwide with no healthcare coverage is on the rise, but the impact from being uninsured on a child’s health has not been heavily explored. According to a Journal of Public Health article, in 2006 over one million children became uninsured, raising the total to 9. 4 million, or 12. 1% of all children in the United States. The spike in numbers can be credited to decreases in employer health coverage without corresponding growths in support provided by Medicaid or the State Children’s Health Insurance Program (SCHIP) (Abdullah, 2010). One study analyzed information from more than 23 million children, under age 18, in the United States, using two large patient databases, to evaluate the effect of health care coverage status on pediatric hospital stays. The study resulted in findings that the rate of death for children who were uninsured was over 37 percent of the deaths studied (Abdullah, 2010). Hypotheses H1: The fewer options for medical treatment will influence an uninsured person to use a free clinic for health care. The more alternative options for medical treatment will influence less free clinic usage by an uninsured person. Other options is an independent variable that has a direct relationship with the dependent variable of free clinic usage by the uninsured. H2: Hispanic ethnicity will influence an uninsured person to use a free clinic for their medical care needs. Hispanic ethnicity will not influence an uninsured person to use a free clinic for their medical care needs. Hispanic ethnicity is an independent variable that has a direct relationship with the dependent variable of free clinic usage by the uninsured. H3: Homelessness will influence a person to visit a free clinic. Homelessness will not influence a person to visit a free clinic. Homelessness is an independent variable that has a direct relationship with the dependent variable of free clinic usage by the uninsured. H4: Age is a factor that influences free clinic usage by the uninsured. Age does not influence free clinic usage by the uninsured. Age is an independent variable that has an inverse relationship with the dependent variable of free clinic usage by the uninsured. Chapter II: Methodology Design This study will concentrate on one central research question: What impacts do availability of other medical care options, Hispanic ethnicity, homelessness and age have on the usage of a free clinic by people who are uninsured? These questions will pose the following hypotheses: H1: The fewer options for medical treatment will influence an uninsured person to use a free clinic for health care. The more alternative options for medical treatment will influence less free clinic usage by an uninsured person. Access to other options is an independent variable that has a direct relationship with the dependent variable of free clinic usage by the uninsured. H2: Hispanic ethnicity will influence an uninsured person to use a free clinic for their medical care needs. Hispanic ethnicity will not influence an uninsured person to use a free clinic for their medical care needs. Hispanic ethnicity is an independent variable that has a direct relationship with the dependent variable of free clinic usage by the uninsured. H3: Homelessness will influence a person to visit a free clinic. Homelessness will not influence a person to visit a free clinic. Homelessness is an independent variable that has a direct relationship with the dependent variable of free clinic usage by the uninsured. H4: Age is a factor that influences free clinic usage by the uninsured. Age does not influence free clinic usage by the uninsured. Age is an independent variable that has an inverse relationship with the dependent variable of free clinic usage by the uninsured. A schematic model illustrates the correlation between these variables. The model can be reviewed in Appendix A. The research question and problem will be answered by using a survey design study conducted by a convenience sample over a six week period. The reason behind using a cross-sectional design is that data on all variables of interest can be collected at the same time and is an efficient method for a large group (O’Sullivan, Rassel Berner, 2008). The three page survey, written at a fifth grade level, in English and in Spanish, will make inquiries and gather information about the independent variables, and about the dependent variable. Attempts will be made to approach every patient signed in at the clinics during the study period. Internal and external validity, then, are important to maintain when surveying a sample population and asking questions on sensitive issues. The goal is to ensure that the independent variables of interest indeed caused changes to the dependent variable and not something else; along with certifying the outcomes are general of the population and can be reproduced in any location. The development and reliability of the research questions are integral to maintaining internal validity within the study. Cognitive pretesting of 10 patients will be performed before beginning the study to ensure the questions are commonly understood and to confirm that the survey questions are capturing the intended outcomes. Additionally, in order to ensure external validity, the results of the study can be implemented by other governments and non-profit agencies. Population/Sample The population for this study is patients visiting two free clinics in Shelby County, Alabama, ages 19-64. This limits the population to a specific age range of persons in the county, as it has been determined that those outside this age range are eligible for coverage through government offered insurance programs, even if they have not applied for it. A Shelby County Development Services Department Profile indicates from 2010 Census data; the population for Shelby County, Alabama is 195,084 residents. Of those approximately 7% are uninsured, equating to around 10,000 uninsured residents. County demographics reveal an almost even division of males (49. 3%) to females (50. 7%). 83. 6% of the population is white, 10. 6% is Black/African American and 1. 5% is Asian (See Appendix D). An anomaly in demographics is observed in ethnicity, specifically Hispanic/Latino residents who are documented at 4. % (8,389) of the total population with an additional 4. 2% who ‘speak non-English language at home’ and 1. 6% who ‘speak English less than ‘very well. ’ If the results of a University of Alabama at Birmingham study are applied to undocumented Hispanics in Shelby County, the total would be more accurately reported at 37,314 (Patino, 2002). Given the fact that both clinics have eligibility requirement for the pa tients they see, the sampling frame will include only people ages 19-64, who have no insurance and who reside in Shelby County or indicate they are homeless. The sample will consist of those who randomly visit the clinic, and are signed in on a first come, first served basis and are waiting to receive treatment at the clinics during the study period, representative of the near 2000 patients who actually received treatment in 2011. This total number of patients is captured from clinic data gathered and reported by the clinics. The sample will be chosen through convenience sampling methods. This method was chosen for its ease of execution and cost effectiveness, although it has a higher risk of bias. The sample size was chosen using a formula that calculated a 95 percent confidence level that the sample size will accurately represent the total population of patients. The sample size will be 563 patients. See Appendix B. Variables Dependent Variable For this study, a free clinic is operationally defined as being a privately run non-profit agency not receiving any federal funding, that offers general medical services, medication and dental care to individuals who have no health care coverage. Volunteer, licensed medical providers administer the care at minimal or no cost (Darnell, 2010). The dependent variable is measured using nominal scales, with letters of the alphabet used as labels instead of numerals. Questions in the survey that address the dependent variable specifically are Question 4 and Questions 9-13 (see Appendix C). Independent Variables The first independent variable: lack of other options, can be conceptually defined as locations where the uninsured might seek medical treatment, other than a free clinic. To measure this variable, use of other options will be measured using a series of questions asking questions related to medical care history. Since the survey will be given to uninsured patients who may not have a high level of education, literacy, or understanding of terminology, the operational definition for the second independent variable of housing status in the survey will measure living arrangements. This will be accomplished by measuring the frequency of responses using nominal scales. The third independent variable, ethnicity, especially Hispanic ethnicity, has been defined as being of Hispanic origin. Per the US Census Bureau, persons of Hispanic origin are determined on the basis of question that asked for self-identification of the person’s origin or descent. Persons of Hispanic origin, in particular, are those who indicated that their origin was Mexican-American, Chicano, Mexican, Mexicano, Puerto Rican, Cuban, Central or South American, or other Hispanic (U. S. Census Bureau). The fourth and final independent variable, used in this model is age, and is intended to measure which age groups of working age adults visit a free clinic most often; and if age is a factor for visiting the clinic. In the study, variable is operationally defined as working age adults between the ages of 19-64. Free clinics trends have shown most patients are non-elderly adults (Darnell, 2010). This will be accomplished by measuring the frequency of responses using nominal scales. Data Collection Measuring Instrument The use of free clinics by the uninsured between ages of 19-64 and the relationships of the factors that influence usage, will be gauged by using a survey comprised of 20 questions (Appendix C), consisting of issues related to accessibility, reasons for use, medical insurance status, health status, employment status, housing status, current diagnoses, and general demographic information. These questions include both ordinal and nominal scales. Two questions will provide an open-ended answer option where space will be provided to write in an answer. Some questions for the survey were extracted from previously tested and validated instruments, such as the National Health Interview Survey. The survey will be translated into Spanish, and for those who need assistance, an already on-site Spanish interpreter will assist in the introduction of the study as well as offer explanation for completion of the survey. The survey should take no longer than 10 minutes to complete. Materials The materials and expense necessary to execute the survey are marginal. Copies required for each respondent total 4 pages (one page is the introduction and confidentiality notice and three pages for the survey) each totaling 2252 multiplied by $. 05 equals approximately $112. 60. Office supplies including three dozen writing pens and a stapler and staples will also be purchased for around $25. 00. Additionally, incentives in the form of refreshments are an additional cost. Bottled water and healthy snacks such as granola bars, pretzels or crackers will be purchased in volume to reduce costs. 25 cases of water totals $180. 00 and snacks will be approximately $150. 00. Therefore the total cost to administer the survey with incentive is approximately $467. 60. The study will be given during clinic operating hours where clinic volunteers will be recruited to administer the introduction and surveys providing additional cost savings. Delivery Method In order to allow every patient in the convenience sample the same opportunity to participate in the survey, upon their arrival and egistration, a clinic caseworker will share with them a scripted introduction explaining the purpose for the survey and assure them it is voluntary and it will in no way cause them any risk and will in no way compromise their clinic visit nor treatment. The introduction will also discuss confidentiality. These measures will help to ensure internal validity since the orientation may p rovide a level of comfort for the respondent who in turn may be inclined to answer the questions more honestly. The survey will be administered to the patients during regular clinic hours on Mondays between 8:30 am and 4:30 pm and Thursdays between 5:30 pm and 8:30 pm, while they wait to be seen. To improve response rates, healthy refreshments will be provided to participants. Patients who have been waiting to register for hours, to be one of 30 patients seen during a given clinic, have likely not eaten and may welcome refreshment as incentive to participate in the study. Dr. Eleanor Singer, a population studies professor and researcher at Columbia University summarized the evidence on incentives from the standpoint of the survey literature in the use of incentives in her 2002 book. She uncovered that incentives improve response rates across all approaches. The effect has proven to be undeviating, larger incentives have superior effects on response rates. Those patients who are first in line to see a medical provider will have equal opportunity to participate in the incentive and the study upon completion of their visit. Data Analysis Once the surveys are collected the data will first be cleaned. It is very important that the data collected from the surveys be able to be interpreted properly in order to accurately measure the relationships between the dependent and independent variables. Each question on the survey will be coded with a value prior to being administered. Data will be entered into a SDSS program and a multiple aggression analysis will be performed. From this analysis it will be possible to find the correlating relationships between each individual independent variable and the dependent variable to show significance. Ultimately the computer program will show which factors strongly influence free clinic usage, which ones are less influential and which factors together may increase the relationship further. See the example in Appendix E. Chapter III: Anticipated Findings The literature that has been reviewed in relation to the variables in this study, along with the suggested approaches, in tandem offers backing to the outcomes that are expected of this study. It is anticipated that there will be a relationship between use of a free clinic by the uninsured and each of the four independent variables provided: lack of other options for health care, age, Hispanic ethnicity and homelessness. The expectation is that the computer software used in analyzing the findings will show relationships between the variables, contradicting the null hypotheses. A multiple aggression analysis would be used to show these relationships by entering the data into a computer program designed to perform the computations and ends up showing a prototype of realism (Simon, 2003). Each of the four independent variables, are believed to have direct relationships with the dependent variable. Ultimately, it is anticipated that each of the four corresponding hypotheses will be conclusive. Chapter IV: Conclusion Studies provide support for the need to address reasoning behind free clinic usage by the uninsured population. The literature review has assisted in understanding each variable’s definition, emphasizing the ideas and findings of other scholarly studies, and establishing the integrity of the links between each independent variable and the dependent variable. As an example, the Kaiser report assists with understanding of the independent variable of age being a factor in why uninsured use a free clinic for their health care needs. It showed that younger working age adults in a certain age range were the group who are most often uninsured, and that this age group is forced to use free health care or have none at all, ultimately having medical conditions worsen, thus costing hospitals and tax payers more in the end. There is currently a staggering estimated $70 billion in uncompensated medical care from 2008 alone by uninsured patients (US Dept. f Health and Human Services, 2011). Therefore it is imperative that those with no medical insurance have access to some form of free or affordable health care in their community, with free clinics being an important piece of the equation. Implications The findings of this research are expected to be beneficial to the Shelby County local government, health and human service non-profit agencies and the medical system as the study will be proving assumed information, along with providing ancillary supportive data about the health care needs and gaps to serve uninsured residents of Shelby County, Alabama. In knowing information about what factors contribute to the free clinic usage among the uninsured, the community collaborative can propose modifications, improvements and additions for programming that may assist in lessening the burden, and ultimately solving the problem. While the outcomes from the study may not be exact to national trends, they should be very reflective and allow for reproduction of successful interventions. Recommendations The provided research will give evidence on four factors that contribute to the use of free clinics for medical treatment by the uninsured population of Shelby County, Alabama thus allowing for a community collaborative to be formed from local government, health care providers, faith based community, caseworkers, immigration and homelessness advocates, university department heads and others. Therefore, it is strongly suggested that this study be performed in order to gather this necessary information to determine if a more detailed needs assessment should be conducted. While there are additional independent variables that may contribute to the usage of a free clinic, only four have been highlighted for this study. Others additional factors should be investigated to identify other challenges that strain the health care system, ultimately contributing to the occurrence of free clinic use. REFERENCES Abdullah, F. et al. , (2009). Analysis of 23 million US hospitalizations: uninsured children have higher all-cause in-hospital mortality. Journal of Public Health, 32 (2), 236–244. doi:10. 093/pubmed/fdp099 Batra, P. , Chertok, J. , Fisher, C. , Manseau, M. , Manuelli, V. , Spears, J. (2009). The Columbia-Harlem homeless medical partnership: A new model for learning in the service of those in medical need. Journal of Urban Health: Bulletin of the New York Academy of Medicine, 86 (5). doi:10. 1007/s11524-009-9386-z Becker, G. , (2001). Effects of being uninsured on ethnic minorities’ management of chronic illness. West Journal of Medicine, 1 75(1), 19–23. Corso, P. Fertig, A. , (2011). ROI and free clinics in Georgia. HealthVoices, University of Georgia College of Public Health, Healthcare Georgia Foundation, Publication 51. Darnell, J. S. (2010). Free clinics in the United States: A nationwide survey. ARCH Intern Medicine, 170 (11), 946-956. Depaul, J. (2010). Free clinics: America’s best-kept secret. The Fiscal Times. Retrieved from: http://www. thefiscaltimes. com/Articles/2010/05/03/Free-Clinics-Lifeline-for-America. aspx#page1 Fertig, A. , Corso, P. , Balasubramaniam, D. (2011). Benefits and costs of a free community-based primary care clinic. Retrieved from: http://hogwarts. spia. uga. edu/~afertig/policy1/FreeClinic_JHHSArevision_singlespace1. pdf Galwankar, S. , (2004). Role of homeless and uninsured patients in overcrowded emergency departments. Retrieved from: http://www. bmj. com/rapid-response/2011/10/30/role-homeless-and-uninsured-patients-overcrowded-emergency-departments George Washington University, Department of Health Policy, School of Public Health and Health Services (2012). Quality incentives for federally qualified health centers, rural health clinics and free clinics: A report to Congress. Washington, DC. Gerber, R. et al. , (2008). A place to be healthy: Blueprint for a new free clinic for the medically uninsured of Rhode Island. Medicine Health/Rhode Island, 91(4), 105-108. Gertz, A. , Frank,S. Blixen, C. (2011). A survey of patients and providers at free clinics across the United States. Journal of Community Health, 36, 83-93. doi: 10. 1007/s 10900-010-9286-x Groman, R. , (2004). American College of Physicians white paper on the cost of lack of health insurance [White Paper]. Retrieved from: http://www. acponline. rg/advocacy/where_we_stand/access/cost. pdf Hoback, A. Anderson, S. (n. d. ). Proposed method for estimating local population of precariously housed. Retrieved from: http://www. nationalhomeless. org/publications/precariouslyhoused/index. html Inguanzo, M. Kaplan, M. , (2011). The social implications of health care reform: reducing access barriers to health care services for uninsured Hispanic and Latino Americans in the United States, Harvard Journal of Hispanic Policy, 23, 83. Institute of Medicine (2003). Hidden costs, values lost: Uninsurance in America. The National Academies Press. Washington, D. C. Retrieved from: http://www. nap. edu/catalog. php? record_id=10719 Isaacs, S. L. Jellinek, P, (2007). Is there a (volunteer) doctor in the house? Free clinics and volunteer physician referral networks in the United States. Health Affairs, 26 (3), 871-876. doi: 10. 1377/hlthaff. 23. 3. 871 Keis, R. M. , DeGeus, L. G. , Cashman, S. , Savageau, J. (2004). Characteristics of patients at three free clinics. Journal of Health Care for the Poor and Underserved, 15 (4), 603-617. Krisberg, K. , (2010). Jump in uninsured signals need to implement health reform: Economy takes a toll on health coverage. The Nation’s Health, 40 (9), Retrieved from: http://go. galegroup. com. libproxy. troy. edu/ps/i. do? id=GALE%7CA241780634v= 2. 1u=troy25957it=rp=AONEsw=w Lewis, J. H. , Andersen, R. M. Gelberg, L. , (November 2003). Health care for homeless women: Unmet needs and barriers to care. Journal of General Internal Medicine, 18, 921-928. Llano, R. , (2011). Immigrants and barriers to healthcare: Comparing policies in the United States and the United Kingdom. Stanford Journal of Public Health, Retrieved from: http://www. stanford. edu/group/sjph/cgi-bin/sjphsite/2011/06/immigrants-and-barriers-to-healthcare-comparing-policies-in-the-united-states-and-the-united-kingdom/ O’Connell, J. , (2005). Premature mortality in homeless populations: A review of the literature. National Health Care for the Homeless Council, Inc. , Nashville. Patino, F. , (2002). Material and child health services utilization by Hispanics in Alabama (doctoral dissertation). Birmingham, AL: The University of Alabama School of Public Health. Scariarti, P. Williams, C. , (2007). The utility of a health risk assessment in providing care for a rural free clinic population. Osteopathic Medicine Primary Care, 1(8). doi: 10. 1186/1750-4732-1-8 Simon, G. , (2003). Multiple regression basics. Retrieved from: http://people. stern. nyu. edu/wgreene/Statistics/MultipleRegressionBasicsCollection. pdf Singer, E. , (2002). The use of incentives to reduce nonresponse in household surveys. Survey Nonresponse, John Wiley Sons, Inc. , New York, 163-177. Trask, J. , (2011). The relationship between primary care access to free clinics and emergency room usage (Unpublished doctoral dissertation). Graduate College of the University of Illinois at Urbana-Champaign. United States Census Bureau (2001). Households and families 2000, Census 2000 brief. US Department of Commerce. United States Census Bureau. Hispanic population of the United States. Retrieved from http://www. census. gov/population/www/socdemo/hispanic/ho00def. html U. S. Department of Health and Human Services (2011). ASPE Research Brief: The value of health insurance: Few of the uninsured have adequate resources to pay potential hospital bills. Weaver, C. , (2010). How health overhaul would affect the uninsured. Kaiser Health News. Retrieved from: http://www. kaiserhealthnews. org/stories/2009/september/21/uninsured-explainer-npr. aspx Whelan, E. M, (2010). The importance of community health centers: Engines of economic activity and job creation. Center for American Progress. Whitbeck, L. (2009). Mental health and emerging adulthood among homeless young people. Psychology Press, Taylor Francis Group, New York. White House, (2010). Department of Health and Human Services. Retrieved from: http://www. whitehouse. ov/blog/2010/05/10/a-long-overdue-change-help-young-adults-get-coverage [pic] [pic] |Appendix B | | |Required Sample Size†  | | | | | | | | | | | | |   |0. 05 |0. 035 |0. 025 |0. 01 |   |0. 05 |0. 035 |0. 25 | |   | |10 |   |10 |10 |10 |10 |   |10 |10 |10 | | | |20 |   |19 |20 |20 |20 |   |19 |20 |20 | | | |30 |   |28 |29 |29 |30 |   |29 |29 |30 | | | |50 |   |44 |47 |48 |50 |   |47 |48 |49 | | | |75 |   | 63 |69 |72 |74 |   |67 |71 |73 | | | |100 |   |80 |89 |94 |99 |   |87 |93 |96 | | | |150 |   |108 |126 |137 |148 |   |122 |135 |142 | | | |200 |   |132 |160 |177 |196 |   |154 |174 |186 | | | |250 |   |152 |190 |215 |244 |   |182 |211 |229 | | | |300 |   |169 |217 |251 |291 |   |207 |246 |270 | | | |400 |   |196 |265 |318 |384 |   |250 |309 |348 | | | |500 |   |217 |306 |377 |475 |   |285 |365 |421 | | | |600 |   |234 |340 |432 |565 |   |315 |416 |490 | | | |700 |   |248 |370 |481 |653 |   |341 |462 |554 | | | |800 |   |260 |396 |526 |739 |   |363 |503 |615 | | | |900 |   |269 |419 |568 |823 |   |382 |541 |672 | | | |1,000 |   |278 |440 |606 |906 |   |399 |575 |727 | | | |1,200 |   |291 |474 |674 |1067 |   |427 |636 |827 | | | |1,500 |   |306 |515 |759 |1297 |   |460 |712 |959 | | | |2,000 |   |322 |563 |869 |1655 |   |498 |808 |1141 | | | |2,500 |   |333 |597 |952 |1984 |   |524 |879 |1288 | | | |3,500 |   |346 |64 1 |1068 |2565 |   |558 |977 |1510 | | | |5,000 |   |357 |678 |1176 |3288 |   |586 |1066 |1734 | | | |7,500 |   |365 |710 |1275 |4211 |   |610 |1147 |1960 | | | |10,000 |   |370 |727 |1332 |4899 |   |622 |1193 |2098 | | | |25,000 |   |378 |760 |1448 |6939 |   |646 |1285 |2399 | | | |50,000 |   |381 |772 |1491 |8056 |   |655 |1318 |2520 | | | |75,000 |   |382 |776 |1506 |8514 |   |658 |1330 |2563 | | | |100,000 |   |383 |778 |1513 |8762 |   |659 |1336 |2585 | | | |250,000 |   |384 |782 |1527 |9248 |   |662 |1347 |2626 | | | |500,000 |   |384 |783 |1532 |9423 |   |663 |1350 |2640 | | | | Appendix C Health Care Survey Questionnaire Circle your answer: 1. What is your age? a. 19-24 b. 25-34 c. 35-44 d. 45-54 e. 44-64 2. What would you classify your ethnicity? a. Caucasian or white b. African American or black c. Hispanic/Latino d. Asian e. Other________________ 3. What is your employment status? a. Full time employee b. Part time employee c. Self employed d. Unemployed – looking for work e. Unemployed f. Retired 4. Reason for no health care coverage/insurance? a. Employer does not offer b. Don’t work enough hours c. Became unemployed and lost coverage d. Cannot afford 5. What is your highest level of completed education? a. Did not complete High school/did not obtain GED b. High School Diploma / GED c. Technical/Trade school d. Some college e. College degree f. Graduate degree g. Doctoral degree 6. What is your housing status? a. Own home b. Rent home/apartment c. Live with family/friends d. Reside at shelter/transitional housing e. Not housed 7. What language do you speak most often at home? a. English b. Spanish c. Other__________________ 8. Are there children living in your household ages 18 and younger? a. Yes b. No 9. When was the last time you received medical care before today’s visit? a. Within last week b. Within last month c. Within last three months d. Within last six months e. Within last year f. Longer than one year 10. Where did you last receive medical treatment before today’s visit? a. Doctor office b. Hospital ER c. Public health department d. Free Clinic 11. Which best describes the reason you chose the location for your last medical treatment? a. Location b. Hours of operation c. Recommended by family/friend d. Did not know where to go 12. Did you have medical insurance the last time you received medical treatment? a. Yes b. No c. I don’t know 13. How would you rate your satisfaction level of your most recent medical treatment? a. Very satisfied b. Somewhat satisfied c. Somewhat dissatisfied d. Not satisfied 14. How would you describe your health? a. Excellent b. Good c. Fair d. Poor 15. Are you experiencing an ongoing health problem? a. Yes b. No c. I don’t know 16. Have you had a diagnosis for your health problem? a. Yes b. No c. I don’t know 17. Are you taking prescription medications? a. Yes b. No 18. If you are taking prescription medications, is a needed refill the reason for your visit today? a. Yes b. No c. Not applicable 19. How are you able to afford your medications? a. Medication assistance b. Lower cost generics c. Samples d. Self-pay full price e. I cannot afford them 20. Please discuss any other issues you are having where assistance may be needed, so referrals may be offered. 21. Please describe in detail what you hope to receive from your visit today. Appendix D [pic] Shelby County Development Services Profile Appendix E – Example of a Multiple Regression results chart [pic] [pic] How to cite What Influences Free Clinic Usage by the Uninsured, Essay examples

The Great Gatsby Essays (703 words) - The Great Gatsby,

The Great Gatsby In the book the Great Gatsby, none but a few people had the idealistic ?American Dream?. To some characters it seems the ?American Dream, ?has replaced by materialism and greed. What does the American Dream mean? What does it stand for? If a person has achieved their American Dream how should they go about living? The American Dream is the vision to be successful and to provide from and family the best way you can. Their dream is to also have money. In the book the Great Gatsby there are many characters with money. Someone who assume they have really accomplished their mission to have the American Dream. Confused with the tremendous mansions, jewelry, fancy cars and clothes, however they have yet to discover the feeling of the American Dream. These characters are reluctant to live their lives on a positive note. Therefore, they peruse lives of materialism and greed. The characters such ass Tom and Daisy Buchanhan, Gatsby and Myrtle Wilson have all misplaced the American Dream with materialism and greed. Tom Buchanhan has replaced the American Dream with materialism and greed in many ways. He works for nothing he has and plays all day. Another thing he does which takes up much of his time is have an affair. Never the less he has his wife Daisy sitting in his huge mansion alone with his daughter which he barley sees regularly. He has an Affair with a woman named Myrtle Wilson. A woman who has no feeling for anybody but herself and cares about living the highlife rather than living he own life. She lives to have Tom shower her with gifts and take her as her number one priority. Jay Gatsby's obsession with materialism and greed is somewhat different from others in the novel. Gatsby had an overwhelming love for Daisy, Tom Buchanhan's wife. He felt so in love that his greediness of mind overwhelmed his actions. He began buying jewelry, furniture, clothes, automobiles and mansions to buy her love. All to impress his long lost love of 5 years. Daisy is a lightheaded, non-chalant woman. She too was obsessed with material items. Her life was based on money. As Nick Carraway, the narrator of the story implied, ?Her voice is full of money?. She herself wouldn't marry the man she loved because he was poor. For example in the novel when Daisy introduced her daughter to Gatsby, she asked, ?Don't you think they are pretty Why would she ask her daughter such an materialistic question. If the same people were in her house and were all less fortunate, would she still have asked that question? If Gatby weren't rich, would she still love him as much as she does now, since he has money? When Gatsby proposed to Daisy that her to leave Tom, she wasn't thinking about her daughter and how she would feel and how Tom would react. All she could think about was herself and how glorious it would be to live with a man with that much power and money. All of the Characters in the novel live in an illusion that their lives are in a correct path and that what they have is good. Basically to all in the novel the high life is life, without it you're nothing and your not important. The problem with the characters is that they want more. They see nothing wrong with wanting to achieve more. There is nothing wrong with wanting more. That is what the American Dream stands for wanting the best. But there becomes a limit when the wanting turns to greed. When people want and take things we don't need just to have it. All of the characters mentioned in the novel have obsessions with wanting the best in life. If the characters in the novel took more precautions with their money and what they want. If the characters in the story stuck to the real idealistic modem of the American Dream, the outcomes of their lives wouldn't have been so diverse and tragic. Therefore, if Tom and Daisy Buchanhan, Gatby and Mytle Wilson followed there dreams postivly they might have lived happier and maybe in harmony. American History Essays