OVARIAN CANCER and US: cancer control

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Showing posts with label cancer control. Show all posts
Showing posts with label cancer control. Show all posts

Tuesday, January 03, 2012

Quality control in ovarian cancer surgery



If the profession does not institute adequate internal regulation of the quality of ovarian cancer surgery, regulation is likely to be imposed by government.

Tuesday, August 17, 2010

Cancer Patients' Roles in Treatment Decisions: Do Characteristics of the Decision Influence Roles? JCO



Purpose
Patients with more active roles in decisions are more satisfied and may have better health outcomes. Younger and better educated patients have more active roles in decisions, but whether patients' roles in decisions differ by characteristics of the decision itself is unknown.

Conclusion
 Patients making decisions about treatments for which no evidence supports benefit and decisions about noncurative treatments reported more physician control, which suggests that patients may not want the responsibility of deciding on treatments that will not cure them. Better strategies for shared decision making may be needed when there is no evidence to support benefit of a treatment or when patients have terminal illnesses that cannot be cured.

Tuesday, April 13, 2010

Response: An opportunity to refine our understanding of "response shift" and to educate researchers on designing quality research studies




Journal Quality of Life Research
Issue Volume 19, Number 4 / May, 2010

Commentary
An opportunity to refine our understanding of “response shift” and to educate researchers on designing quality research studies: response to Ubel, Peeters, and Smith

Bryce B. Reeve1 Contact Information
(1) Outcomes Research Branch, Applied Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, EPN 4088, 6130 Executive Blvd., MSC 7344, Bethesda, MD 20892-7344, USA

Abstract
There is no advantage at this time to abandon the term “response shift” as suggested by Ubel et al. (Qual Life Res, 2010). The term is well known in the research field and has impacted the way we think about measuring quality of life (QOL) longitudinally. However, Ubel et al. (Qual Life Res, 2010) have provided the incentive to start an open dialogue on the subject with opportunities to refine the language of response shift and educate researchers. In this article, we identify opportunities in designing research studies to minimize or account for response shifts by considering the (1) selection of QOL concepts to measure, (2) questionnaires used to assess the QOL concepts, (3) design of the research study, (4) target population, and (5) analyses and reporting of results. Careful consideration of each of these issues will help us identify new methodologies and improved study designs that will move the QOL research field forward.