Hospice Utilization: Survey Findings
Survey Data Analysis
Barriers to Hospice Care Utilization: Survey Findings
Barriers to Hospice Care Utilization: Survey Findings
Hospice care has been shown to improve patient quality of life, reduce depression, prolong life (reviewed by McGorty and Bornstein, 2003), and reduce the costs associated with end of life (EOL) care (Temel et al., 2010). As McGorty and Bornstein (2003) point out, however, hospice care in the United Kingdom is more widely used than in the United States, with 60% of all U.K. cancer deaths occurring in Hospice care compared to only 42% in the U.S. The possible reasons for this disparity include patient-, physician/nurse practitioner (NP)-, and administrative-associated factors that result in hospice underutilization. Of primary concern are the barriers associated with physicians and NPs because they act as gatekeepers to hospice care.
esearchers have shown that only about 24% of physicians surveyed were familiar with hospice care, while the rest…...
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References
Christakis, Nicholas A. And Lamont, Elizabeth B. (2000). Extent and determinants of error in physicians' prognosis in terminally ill patients: Prospective cohort study. BMJ, 320, 469-473.
McGorty, E.K. And Bornstein, B.H. (2003). Barriers to physicians' decisions to discuss hospice: Insights gained from the United States hospice model. Journal of Evaluation in Clinical Practice, 9(3), 363-372.
McNeilly, D.P. And Hillary, K. (1997). The hospice decision: Psychological facilitators and barriers. Omega, 35, 193-197.
Temel, Jennifer S., Greer, Joseph A., Musikansky, Alona, Gallagher, Emily R., Admane, sonal, Jackson, Vicki A. et al. (2010). Early palliative care for patients with metastatic non-small-cell lung cancer. New England Journal of Medicine, 363, 733-742.
Business Intelligence and Data Analysis
Tableau Project
Dashboard
Health insurance coverage for people below 65 among states
Graphical features used
Descriptive and predictive analytics used
Population of Insured and Uninsured People aged 65 and below
The project evaluates the rates of insurance coverage for people aged 65 and below between 2010 and 2012 in all states in the United States. The report analyzes the data using several statistical tools such as descriptive statistics, predictive statistics, and linear treadline . The report identifies that the number of uninsured in this age category declines between 2010 and 2012. However, the number of insured in this age category increases between 2010 and 2012. Additionally, the rates of insured and uninsured vary between states. The twenty-five states recorded an increase in the number of uninsured between 2010 and 2012, and the rest recorded a decline in the number of uninsured.
Executive summary
Objective of this project is to evaluate the health insurance coverage…...
Tobacco control and stress reduction
Data interpretation is a critical component of the research process, one which is necessary to ensure that the data has program significance -- i.e., can provide useful guidelines for changes in policy or to add to the existing research -- and also to ensure that the data simply meets basic statistical criteria for validity. In the case of the smoking cessation program profiled in the text by McKenzie, Neiger, & Thackeray, . (2013), there are several obvious problems with the data -- only a limited number of the pooled workplaces (67%) actually completed the survey, 251 in total. 198 of the profiled workplaces (79%) had fewer than 51 employees. This means that the data may be incomplete regarding the full extent that such programs have been implemented (or the lack of extent to which they have been implemented) and most of the programs have a…...
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Reference
McKenzie, J.F., Neiger, B.L., & Thackeray, R. (2013). Planning, implementing, and evaluating health promotion programs (6th ed.). San Francisco, CA: Pearson.
data collection and analysis legitimize the goals and strategies educators create for change and improvement?
Given today's emphasis on standardized testing in the era of No Child Left Behind (NCLB), using data-driven analysis to legitimize various educational strategies is essential. "Daily life in districts and schools requires educators to effectively navigate a sea of data: diagnostic and norm-referenced standardized assessment data, reading assessment data, state and local assessment data, in combination with other data related to instructional programs and demographic, attendance, and dropout trends" (onka et al. 2008). Ideally, educators can use data such as student assessments to tailor the learning experience in a more effective fashion and incorporate formative assessments within the classroom to ensure that lesson plans are responsive and flexible to student needs. On a macro level, districts can use data tracking to see what types of teaching methods are effective or ineffective. Although teachers are always…...
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References
Bernhardt, V. (2003). No schools left behind ASCD, 66 (5): 26-30. Retrieved from:
Nursing Handoff Communication
The use of the mixed method approach for this study implies that data analysis should be effective in examining descriptive data obtained from participant observation, interviews, surveys, and focus groups. The data analysis plans for this research will incorporate identifying and utilizing appropriate methods for examining demographic variables and study variables. This will help in ensuring the researcher effectively analyzes descriptive data from the various data collection methods and study variables. Given the nature of the phenomenon under investigation, data analysis for demographic variables and of study variables is vital in order to generate accurate results or findings. When analyzing data, the researcher will utilize SPSS software and establish the alpha level for all statistical analyses at 0.05 (O'Connell, Macdonald & Kelly, 2008, p.5).
In relation to data analysis for demographic variables, the researcher will conduct descriptive statistical…...
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References
O'Connell, B., Macdonald, K. & Kelly, C. (2008, August). Nursing Handover: It's Time for a Change. Contemporary Nurse, 30(1), 2-11.
Self-reflection
For a successful completion of any program, data analysis and results dissemination is a crucial part of the processes. Data analysis is the processes of project reporting that involves inspection, cleansing, transformation, and modeling of the data collected with the aim of establishing information that is useful in suggesting the possible conclusions and in providing insights to support the decisions made (Ott & Longnecker, 2015). Dissemination on the other hand is the processes of getting out the findings of the project. This can be done through various platforms among them presentations and written report. Results dissemination is a critical process in program implementation for it creates a link between the researchers and the field.
Data analysis for me is a rather challenging process and often, I get entangled in the various processes. The method selected for data analysis will depend on the nature and the type of the research. There are…...
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References
McBride, N. (2016). Dissemination Phase of the Intervention Research Framework: Presentation and Dissemination of Results. In Intervention Research (pp. 149-164). Springer Singapore.Ott, R. L., & Longnecker, M. T. (2015). An introduction to statistical methods and data analysis. Nelson Education.Stage, F. K., & Manning, K. (Eds.). (2015). Research in the college context: Approaches and methods. Routledge.
Data is important in any study. It helps organize and strategize on the best way to lead a challenging mechanism for every player in the industry. No meaningful research can fail involve the use of data. In this case, data has to be done to help in the study mechanisms that can lead to the better execution of what is needed. This study showed the manner in which work can be distributed in a research progress, with the aim of making work well done. In essence, data collection must focus on all the endeavors of the management for the analysis to reflect the real issues being analyzed (Haining, 2011). It is also important to note that work is organizable when the studies are geared towards making sure there are mechanisms that surround and support the researcher. The main business at New-Hire is related to making sure that the…...
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References
Crump, E. (2010). Forecasting. Washington, D.C.: Transportation Research Board.
Gelman, A. (2009). Bayesian Data Analysis and Presentation (second ed.). Boca Raton, Fla.: Chapman & Hall/CRC
Haining, R. (2011). Spatial Data Analysis Theory and Practice. Cambridge, UK: Cambridge University Press
The present study involves the identification of a measure for determining the effectiveness of a group that was organized and is presently coordinated to work as a type of public relations firm for the Catholic Church in a role that effectively disseminates and negotiates information that passes to and from the Church to the political, social, economic, ethical, and religious workings on a global scale therefore making these workings complex and often tedious in nature. This section of this study, or the data analysis, is comprised of a qualitative analysis of the data obtained during the course of this study both through review of pertinent literature that is professional and academic as well as peer-reviewed in nature in combination with self-administered questionnaires/interviews. The questionnaires were mailed to twenty individuals in the Catholic Church however, only three of these individuals actually responded to the request for information.…...
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Allen asks if it is possible that the Catholic Voices have "stumbled across a model for adult faith formation" and the interviewee responds by stating "Whatever we do about the speakers and media training, we want to create some kind of forum, almost an academy, for Catholic public intellectuals. The relationships we've formed with the experts have been enormously helpful. They've been delighted, because the idea has so appealed to people. I think what the pope has been saying in these days, in these speeches, underscores the need for something like this. There's been a constant summons to the lay faithful to take their place in the public square. That's the great theme of this visit, to combat aggressive secularism and so on. How do we obey the pope's call through Catholic Voices? It is really about reviving the art of apologetics." (Allen, 2010)
Success of Catholic Voices
When asked how the interviewee believes that the initiative is proceeding he answers by stating that it is going "…fantastically. I knew the incredibly negative coverage before he arrived was actually doing us a favor. I knew that the pope would defy people's expectations, because he always does that. But I've been amazed by how successful it has been. One the newspaper editorials today said, "British people are listening with curiosity and respect." Before the trip began, I said I would judge its success by one criterion only -- did people listen? I think they are listening. There are obviously people who are going to listen and then disagree, but I think he's struck a chord. Now, this visit comes at a very propitious time politically. When this visit was first announced by the previous government, the common agenda between the government and the Holy See was all about international development and poverty. It's been fascinating to see how the new government has reframed the visit, keeping that but adding the contributions of faith to building community. It's David Cameron's "Big Society" agenda, which really comes from Philip Blond, the author of Red Tory, who is a disciple of John Milbank. I recently saw them both in Rimini [the annual gathering of the Communion and Liberation movement in Italy]. Blond told the audience that his ideas had been formed by coming to Rimini over the last four years. Of course, Rimini is Catholic civil society in action and on display, it's really impressive. So, there you have Cameron's chief advisor, who's created the idea of the "Big Society," getting it from the Catholic social teaching and subsidiary on
Important measures in data summarization include measures of central tendency (i.e. "averages" or the mean, median, and/or mode) and measures of dispersion or variability -- the range of the data and the standard deviation of the points within the data set (Shaughnessy et al. 2006). These statistical staring points can be used to derive a wealth of information form the data, including correlations to other related studies/data sets, reliability and consistency of the data set at hand, and other summary statistics that provide the necessary measures to begin to understand the implications of a given data set (Shaughnessy et al. 2006). These basic figures must be known before any statistical analysis can occur.
ffect size is also a very important measure in the summary of a data set (Shaughnessy et al. 2006). Rather than simply showing a correlation between various features of a data set, effect size measures determine the…...
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Effect size is also a very important measure in the summary of a data set (Shaughnessy et al. 2006). Rather than simply showing a correlation between various features of a data set, effect size measures determine the strength of such relationships; some things that appear to be correlative might have effect sizes that are quite small, suggesting perhaps a different causal agent common to the two phenomenon, or leading to questions requiring firther research (Shaughnessy et al. 2006). In this way, even when data analysis points away from desired conclusions, a carefully conducted research project with proper data analysis will never be entirely fruitless. Summary provides the clear and concise results of an experiment as represented through the data, and is therefore quite essential to the overall process of data analysis.
Confirming What the Data Reveals
The final stage in data analysis is confirming what the summary and individual data points do, in fact, reveal (Shaughnessy et al. 2006). Confidence intervals, such as the difference between two means, can be used in this stage of data analysis in order to confirm that the research was conducted objectively and that the data remains free from any contamination or bias in analysis (Shaughnessy et al. 2006). It is vitally important not to draw conclusions before this stage; even though certain relationships between the data points might be perceptible, determining these things to early in the process can lead to unintentional bias later on (Shaughnessy et al. 2006). Only after all of the necessary summary points of a data set have been calculated and displayed can the true import of a data set be determined, and even then it is important to proceed with skepticism and scientific caution (Shaughnessy et al. 2006). Confirming the meaning of data is the final step in analysis, but it is only the beginning of applying research findings.
Rogers (2010) chapter on qualitative analysis described many useful and practical methods to help use this tool effectively and efficiently. The purpose of this essay is to examine this book chapter and address the important and key issues that are presented in the literature. This essay will also provide practical examples of the information presented in this argument from federal agencies to help contextualize the information and to demonstrate the practicality of its methods at a governmental level.
Rogers proposed a complex systematic framework for analyzing qualitative data for evaluation in this chapter. He created the mnemonic PPOIISED to help guide this process. He stated that this mnemonic " is intended to remind users of three different meanings of the word poised in that good qualitative data analysis finds an appropriate balance between compteting imperatives, uses strategies that are focused on action, and has a sense of assurance based on a…...
Johnson, B. et al. (2010). Structured Qualitative Research: Organizaing Mountains of Words for Data Analysis, both Qualitative and Quantitative. National Development and Research Institutes, New York June 2010. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/20222777
Rogers, P., & Goodrick, D. (2010). Qualitative data analysis. In Wholly (Ed.), Handbook of Practical Program Evaluation (3rd ed., pp. 429-453).
Leadership Effectiveness Inventory Data
Reliability Analysis
After collecting data from the Nordic questionnaires, a reliability test was carried out to ascertain whether the nine scales used could predict overall satisfaction with the manager as a leader. The analysis found the scales reliable and moreover, it was apparent that reducing the questions in the questionnaires could not compromise data reliability. In addition, communication, planning/execution and teamwork were proved to be the best predictors of satisfaction from the analysis.
For this study, data used were answers to 75 questions asked to 472 respondents regarding managerial behavior within the organization. Data sources are shown in Table 1 below.
Source of Data
N
Self
Direct Reports
Peers
Supervisors
In Table 2, descriptive statistics were recorded on individual items with descending means and respective standard deviations.
Mean
Standard
analyzing table 2 above, it is clear that three variables had means of more than 4; satisfied. These variables include Q69, Q3, and Q5 as well. In addition, there were…...
Improper Data Analysis Led to the Fall of Enron
The downfall of the Enron Corporation in 2001 had far reaching effects that are still felt to this day. Employees, shareholders, auditors, executives, the public and many other stakeholders are still dealing with the impact of the fallout that came from the misconduct of the debt ridden company. hareholders lost billions of dollars when the stock price plummeted. The accounting firm Arthur Anderson LLP was found guilty of obstruction of justice and is no longer able to practice as Certified Public Accountants in the United tates. The lessons learned from how Enron and its accountants misused information has profound ethical and business implications for any student of data analysis in whatever field.
From a misuse of data perspective, the best place to begin with the Enron scandal is with its auditing firm, Arthur Andersen. While earning millions of dollars, this firm performed…...
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Sources:
McLean, B. And Elkind, P. 2003. Smartest Guys in the Room. Portfolio Hardcover: New York.
Nagy, A. 2005. Mandatory audit firm turnover, financial reporting quality, and client bargaining power: The case of Arthur Andersen. Accounting Horizons. 19:51.
Inductive and Deductive Analysis: Differences
Thick Description in Text Analysis
The concept of thick description, advanced by Gilbert yle and popularized in the fields of sociology and anthropology by Clifford Geertz, is used to characterize the process of putting particular emphasis on the contextual details surrounding a phenomenon when conducting qualitative research. A thick description of the phenomenon takes into account the experiential and contextual understandings of those behaviors that render a phenomenon meaningful. It involves looking at the rich details surrounding a phenomenon, and sorting out the complex details, including self-feelings, emotions, and social relationships, such that "the voices, feelings, actions, and meanings of interacting individuals are heard" (Denzin, as cited in Ponterotto, 2006, p. 540). The narration below presents a thick description of the experiences of a nurse out to improve her facility's performance in the provision of end of life care, particularly in the area of pain management (adopted…...
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References
Altinay, L. & Paraskevas, A. (2009). Planning Research in Hospitality and Tourism. Oxford: Routledge.
Ponterotto, J.G. (2006). Brief Note on the Origins, Evolution and Meaning of the Qualitative Research Concept 'Thick Description'. The Qualitative Report, 11(3), 538-549.
The National Academic Press. (2001). Appendix A: Example of Thin and Thick Description for Qualitative Analysis. The National Academic Press. Retrieved 7 August 2014 from http://www.nap.edu/openbook.php?record_id=10096&page=65
Vogt, P., Gardner, D.C., Haeffele, L.M. & Vogt, E.R. (2014). Selecting the Right Analyses for Your Data: Quantitative, Qualitative and Mixed Methods. New York: Guilford
grades of students' team taught and student not team taught in the MAE504 course at taking Trident University. In the quantitative research, carrying out a statistical analysis to answer the research question can be challenging for many students. The study discusses different statistical tools that can be used to analyze the data to compare the variable team taught students and variable non-team students. The discussion will assist students in the education department on the research design and statistical tool to use for the quantitative research.
Approach in Quantitative esearch
The following steps are to be followed when carrying out the quantitative research:
Identification of research problem
eview of the past studies
Specify the research purpose
Develop the research questions
Collect data
Data analysis and interpret Data
Present the research findings
esearch Question
The first approach to tackling quantitative research is to define the research question, which will assist the researcher to collect data to investigate the relationship between two or…...
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Resources Projects. Statistical Services Centre, The University of Reading
Wilson, I.M. (2000). Sampling and Qualitative Research. Theme Paper for DFID project on -Integrating qualitative and quantitative approaches in socio-economic survey work.
DATA ANALYSIS Problem 1Answer the question: Does practice time make a difference? Support your answer with your findings.The ANOVA single factor test was used to determine whether there was a difference in the swimming time by practice time. ANOVA was calculated using the following steps:i) Present the data in three columns by practice time as shown:less than 15 (1)15-25 (2)greater than 25(3)58.764.46855.355.865.961.858.754.749.554.753.664.552.758.76167.858.765.761.665.751.458.766.553.654.656.75951.555.454.751.561.454.856.957.2ii) State the null and alternative hypothesesHo: all means are equalHA: all means are not equaliii) Run a single-factor ANOVA using the data analysis tool on Excel. The results are presented below:Anova: Single FactorSUMMARYGroupsCountSumAverageVarianceColumn 110580.558.0529.87833Column 213753.557.9615422.68423Column 313767.459.0307731.07897ANOVASource of VariationSSdfMSFP-valueF critBetween Groups8.86876068424.434380.1600920.8527233.284918Within Groups914.06346153327.69889Total922.932222235Implication: The F statistic (0.16) is less than the F critical (3.29). Further, the F-statistic is yields a p-value of 0.853, which is greater than p?0.05, implying that the differences in means is not significant at the .05 level of significance and hence, we accept the null hypothesis.…...
Below is an example essay to help give you ideas when writing your own paper.
Title: Bridging the Skills Gap in the South African Supply Chain Industry
Introduction:
In today's rapidly evolving global economy, the supply chain industry plays a vital role in ensuring the efficient flow of goods and services. However, South Africa's supply chain sector faces a significant skills gap, hindering its growth and competitiveness. To address this challenge, it is essential to identify and cultivate generic, transferable, core, or key attributes that can bridge this gap effectively. This essay will discuss the different forms of such attributes....
Sure! I can certainly help you with creating a research proposal and outline for your college paper on educational reform. Here is an example of how you can structure your proposal and outline, including proper spacing:
Research Proposal:
Title: Examining the Effectiveness of Educational Reform Initiatives in Enhancing Student Achievement
I. Introduction A. Background and Context B. Problem Statement C. Research Questions D. Significance of the Study
II. Literature Review A. Overview of Educational Reform B. Key Concepts and Theories C. Previous Studies and Findings
III. Methodology A. Research Design B. Data Collection Methods C. Sample Selection D. Data Analysis Techniques
Sure! Here is a sample research proposal and outline for a college paper on educational reform:
Research Proposal: Exploring the Impact of Educational Reform on Student Achievement and Equity
I. Introduction A. Background of the study 1. Briefly discuss the current state of the education system 2. Highlight the need for educational reform B. Problem statement 1. Identify the key problems within the system that require reform 2. Discuss the negative consequences of these problems on student achievement and equity C. Research question - How does educational reform impact student achievement and promote equity in the education system? D. Objectives 1. Investigate....
Sure! Here is a suggested topic for an IBDP Extended Essay in Physics:
Title: Investigating the Efficiency of Renewable Energy Sources: Comparing Solar Panels and Wind Turbines
Abstract: This extended essay aims to investigate the efficiency of two prominent renewable energy sources, namely solar panels and wind turbines. The project will involve a comprehensive analysis of the factors influencing the efficiency of each energy source, including geographical location, weather conditions, and technological advancements. Data will be collected through simulations, experiments, and case studies of existing installations. The findings will contribute to understanding the potential of solar panels and wind turbines as reliable....
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