SPC Proposal: Annotated Bibliography

  1. Benneyan, James C. “Use and Interpretation of Statistical Quality Control Charts.” Methodology Matters 10.1 (1998): 69-73. Google Scholar. Web. 5 Aug. 2014. <http://intqhc.oxfordjournals.org/content/10/1/69.full.pdf+html>. Dr. James Benneyan, the director of the Healthcare System Engineering Institute, is a leading figure within systems engineering within Healthcare. This article covers several examples of control charts while some of the ”common pitfalls to avoid.” He relies on the “philosophies of the late quality pioneer, Dr W. E. Deming.” The article explains some of the possible areas that healthcare providers might make mistakes in. Possible areas where HCPs might fail show areas where expertise in the uses of SPC charts will improve the results received.  He provides cautionary information on where oversimplification and misunderstandings can significantly decrease the accuracy of the analysis. His works are well supported with references from several articles from several respected authorities and institutions as well as other works of his own.  As he is a leader in his field, his citations of his own works don’t weaken his argument as someone without such an authority would.
  1. Woodall, William H. “The Use of Control Charts in Health-Care and Public-Health Surveillance.” Journal of Quality Technology 38.2 (2006): 89-104. Google Scholar. Web. 5 Aug. 2014. <http://rube.asq.org/pub/jqt/past/vol38_issue2/jqt3802woodall.pdf>. Dr. William Woodall is professor at Virginia Polytechnic Institute and State University with a Ph.D. in Statistics with several awards for statistics. His work multiple references including ones from Dr. James Benneyan, another authority I have utilized. The article is mean as an introduction to “industrial practitioners.” It also introduces the “The advantages and disadvantages of the charting methods proposed in the health-care and public-health areas.” He examines some of the issues ranging from general to performative issues while examining common methods applied to healthcare in statistics.
  2. Brooks, Marie A. “Statistical Process Control and Control Charts: An Application for Statistics Classes” The Mathematics Teacher 80.6 (1987): 480-486, 474 JSTOR. Web. 5 Aug. 2014. <http://www.jstor.org/stable/pdfplus/27965444.pdf?acceptTC=true>. To provide an understanding of the statistics process control charts, I will use Marie Brooks’s article to provide a basis for the patterns that the process control charts can exhibit which will allow me to introduce the basis for an understanding within HCPs with lesser training.
  3. Caulcutt, Roland “The Rights and Wrongs of Control Charts” Journal of the Royal Statistical Society. Series C (Applied Statistics) 44.3 (1995): 279-288 JSTOR. Web. 5 Aug. 2014. <http://www.jstor.org/stable/pdfplus/2986037.pdf>. This article moves away from healthcare and addresses the rights and wrongs of control charts. It states that often manufacturing managers have the necessary understanding of statistical and probabilistic concepts to utilize the SPC charts as a tool. By using his step by step guide, I can create a guide to picking charts for situations and data and what those analysis show. Caulcutt supports his claims with several citations and thanked a Dr T. P. Davis, Chairman of the Business and Industrial Section of the Royal Statistical Society. His claims seem to be  heavily supported by strong authorities in highly regarded institutions. I will use this validation to support my use of his step by step guide to build my own.
  4. Humble, Charles “Caveats regarding the Use of Control Charts” Infection Control and Hospital Epidemiology 19.11 (1998): 865-865 JSTOR. Web. 5 Aug. 2014. <http://www.jstor.org/stable/pdfplus/30141569.pdf>. This paper provides a strong comparative analysis between the application of SPC within healthcare and industry. This analysis can help industrial engineers moving into the healthcare industry through the transition. The differences between utilizing SPC charts in healthcare and other industries will become apparent improving the application analysis of the processes
  5. Woodall, Williams and Mahmoud, Mahmoud “The Inertial Properties of Control Charts” Technometrics 47.4 (2005): 425-436 JSTOR. Web. 5 Aug. 2014 <http://www.jstor.org/stable/pdfplus/25471067.pdf>. This article will cover the basic theory for the use of statistical process control within hospital epidemiology. The paper goes into several advance topics of multivariate control charts such as a CUSUM chart, an EWMA chart, and MEWMA chart. While these topics are extremely advanced, they are locations where healthcare providers may misapply the concepts leading to mistaken conclusions. The paper is heavily supported with citations that will provide strength to the higher levels of discourse for the proposed ideals.
  6. Sellick, John “The Use of Statistical Process Control Charts in Hospital Epidemiology” Infection Control and Hospital Epidemiology 14.11 (1993): 649-656 JSTOR. Web. 5 Aug. 2014. <http://www.jstor.org/stable/pdfplus/30149749.pdf>. In this article, Sellick examines the theory and application of SPC to hospital epidemiology which is the study of the diseases specifically the incidence, distribution, and control of disease. His article covers the c chart, u chart, and p chart within examples of their applications within epidemiology. The research also covers several caveats that may occur within the application of statistical process control. His research is well supported by citations and a series of case studies conducted at Buffalo General Hospital. This paper will also provide additional specific examples of the applications of each type of chart.

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