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Essay / Research Paper Abstract
This 10 page paper takes Barbara Andersen's article on biobehavioral outcomes in cancer patients as a starting point, identifies some of her suggestions for new methods, and then discusses two articles that use these methods in analyses of patients. Bibliography lists 2 sources.
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10 pages (~225 words per page)
File: D0_HVCancer.rtf
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Andersens article on biobehavioral outcomes in cancer patients as a starting point, identifies some of her suggestions for new methods, and then discusses two articles that use these methods in
analyses of patients. Summary of Andersens Suggested New Models Barbara Andersens article entitled "Biobehavioral Outcomes Following Psychological Interventions for Cancer Patients" is not cheerful reading. In it,
she reviews a number of studies done to examine the effect on cancer patients of psychological intervention, obviously hoping to report that the interventions had significantly increased survival rates, quality
of life, or both, but the findings are not particularly hopeful. Part of the problem may be with the studies themselves, since there doesnt appear to be enough manpower
or capital to conduct them in a meaningful way; in particular, the numbers of patients used in each of the studies seems very small (less than 100 in most cases).
This is not, as I understand it, statistically significant. Andersen suggests models for new studies that might provide better results. Andersen says that "intervention studies face considerable manpower,
logistic, collaborative, and funding challenges. This review suggests that when under-piloted, -manned, - organized, or -powered, there are methodologic and/or statistical problems, not the least of which is accrual
and retention" (Andersen, 2002, p. 603). This then should be the first priority: to design a study that will accrue and retain a large enough patient sample
to give results that can be replicated and validated. "Appropriate description and data must be provided for both" [accrual and retention]. Furthermore, any such study, regardless of its
range, must be "accompanied by a rigorous statistical analysis (and not one limited by low power due to small sample size) to rule out biases that might be correlated with
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