Data Management and Medicine – Health System Example

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"Data Management and Medicine" is an outstanding example of a paper on the health system. Every research requires a thorough understanding of the subject matter based on analytical analysis offering a good amount of information in  terms of results and solutions (Dodge,   2003).     The research about obesity amongst Latino children aged 12-17 is based on the sharing of ideas and information through individual and group interaction. The information has been collected through  several  questions requiring logical analysis using statistical tools to identify the relationship between different variables. This  particular assignment  highlights the importance and role of data analysis  helping in identifying key issues along with offering key solutions and understanding over the subject matter.   Data Management  Data management is often defined as collecting  data and logically coding them to identify key results and conclusions (Beck, Michael,   1995).     Data collected from the study of the prevalence of obesity amongst the Latino children will be coded simply based on  similarity.

It also includes a thorough checking of data in terms of validity and reliability. This helps in identifying the missing values and  consistency of data and information. The final data will be organized systematically using excel.

This will help in identifying key data  that will be further analyzed using statistical tools. The program has  several  volunteers and few of them will be assigned to analyze these data along with coding, cleaning, and organizing them analytically and systemically. Thus, the data management will include  information collected from the Latino children through questionnaires and five people from the team of volunteers will be responsible for managing them. This will help in  assessing the reliability, validity, importance, relevance, and nature of data. It is important to identify the mode and nature of analysis and the next part discusses it in an illustrative manner (Day, Ronald  (2001).     This will also help in understanding the overall approach to the data analysis.   Data Analysis- Variables  To identify the prevalence and impact of obesity amongst Latino children, few variables have been identified.

These  variables  include  diet patterns, social culture, food habits, and awareness of obesity. These are independent variables  whereas obesity is a dependent variable dependent on all these variables.   This is going to be the multivariate analysis as there are  several  variables  associated with the study (Tabachnick, Fidell,   2007).   Statistics  The statistical study will be based on a descriptive analysis of the information collected through questionnaires as it will help in summarizing, organizing, and describing the character of the targeted group.   This will also include  identifying the relationship between the dependent and independent factors in a critical manner.     Interpretation of Data  The data will be interpreted using excel and solutions and findings will be  cross-checked with the expected findings and results.

Data interpretation will be undertaken by the assigned volunteers responsible for assessing the data based on the collected information.   Evaluation and Reporting  The evaluation report will contain  a descriptive study of the information along with highlighting the methodology and solutions in an informative manner.       Presentation of Data  The data analysis will be presented to every participant  in personnel.

The report will include graphs, charts, and a thorough analysis of variables.       Utilization of Report  The report will be offered with a view of creating an impact on the life of Latino children. It will also include guidance, feedback, and a wide array of information over the issue.

References

Dodge, Y. (2003) .The Oxford Dictionary of Statistical Terms, OUP

Day, Ronald (2001). Modern Invention of Information. Carbondale, IL. Southern Illinois University Press

Lewis-Beck, Michael S. (1995). Data Analysis: an Introduction, Sage Publications Inc

Tabachnick, B.G. & Fidell, L.S. (2007). Using Multivariate Statistics, Fifth Edition. Boston: Pearson Education, Inc. / Allyn and Bacon

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