Journal Article Research Critique

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Journal Article Research Critique by C. O’Neal MBA 532 UA – Quantitative Business Analysis Instructor:Dr. Ed Ohlson

Cheryl O’Neal 3/8/2008

Journal Article Research Critique by C. O’Neal

Introduction

Cancer patients experience a variety of symptoms that are associated with the disease process itself and with the treatment regimens used to control or eradicate the disease. The authors (Bender, Engberg, Donovan, Cohen, Houze, Rosenzweig, Mallory, Dunbar-Jacob, & Sereika, 2008) in their study, Symptom clusters in adults with chronic health problems and cancer as a comorbidity, have attempted to discover symptom clusters that have may have been nestled in the data retrieved in two previous studies
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This study did not identify the types of comorbid conditions that they concluded had influenced the symptom clusters. With the support of the studies already completed, it would be a logical step to look at retrospective studies including cohorts with and without cancer that also have other chronic health problems.

The Comorbidity Questionnaire was the tool used to gather the original data. According to Bender et al. (2008) this tool was modeled after the Charlson Comorbidity Index (CCI). The detail of this modified tool was not disclosed nor was this author able to retrieve a copy of the tool used. However, it should be noted that the tool was approved for studies from National Institutes of Health. The CCI on the other hand is a reliable and validated tool (Hall, Ramachandran, Narayan, Jani, & Vijayakumar, 2004). Therefore, it is impossible for this author to evaluate the tool that was used to collect the initial data but instead, inferences can be superimposed that would lead the reader to assume that if the CCI is a valid and reliable tool, then the modified tool should also be valid and reliable. However, it is never proper protocol to make that kind of assumption.

The statistical analysis was appropriate for a non-parametric study including the Kruskal-Wallis test, Chi-square, and Fisher exact test (Bender et al., 2008, p.E3). The data was
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