With recent improvements in the early detection, diagnosis, and treatment of cancer, people with cancer are living longer, and their cancer may be managed as a chronic illness. Cancer as a chronic illness places new demands on patients and families to manage their own care, and it challenges old paradigms that oncology's work is done after treatment. As a chronic illness, however, cancer care occurs on a continuum that stretches from prevention to the end of life, with early detection, diagnosis, treatment, and survivorship in between. In this article, self-management interventions that enable patients and families to participate in managing their care along this continuum are reviewed. Randomized controlled trials of self-management interventions with cancer patients and families in the treatment, survivorship, and end-of-life phases of the cancer care continuum are reviewed, and the Chronic Care Model is presented as a model of care that oncology practices can use to enable and empower patients and families to engage in self-management. It is concluded that the need for a common language with which to speak about self-management and a common set of self-management actions for cancer care notwithstanding, oncology practices can now build strong relationships with their patients and formulate mutually agreed upon care plans that enable and empower patients to care for themselves in the way they prefer. CA Cancer J Clin 2011;61:50-62.

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Purpose Self-management is a dynamic process in which individuals actively manage a chronic illness. Self-management models are limited in their specification of the processes of self-management. The purpose of this article is to delineate processes of self-management in order to help direct interventions and improve health outcomes for individuals with a chronic illness. Design Qualitative metasynthesis techniques were used to analyze 101 studies published between January 2000 and April 2011 that described processes of self-management in chronic illness. Methods Self-management processes were extracted from each article and were coded. Similar codes were clustered into categories. The analysis continued until a final categorization was reached. Findings Three categories of self-management processes were identified: focusing on illness needs; activating resources; and living with a chronic illness. Tasks and skills were delineated for each category. Conclusions This metasynthesis expands on current descriptions of self-management processes by specifying a more complete spectrum of self-management processes. Clinical Relevance Healthcare providers can best facilitate self-management by coordinating self-management activities, by recognizing that different self-management processes vary in importance to patients over time, and by having ongoing communication with patients and providers to create appropriate self-management plans.

Recommendations for practice include development of standardized guidelines that address caregiver assessment, education, and resources; identification of "caregiver champions" in practice settings; provision of referrals to established support organizations for caregivers (eg, Cancer Support Community, Cancer Care); and collaboration among caregiving, professional, and cancer-related organizations to advocate policy and practice changes for family caregivers.

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Increased financial burden asa result of cancer care costs is the strongest independent predictor of poor quality of life among cancer survivors.

Purpose Although patient-reported cancer symptoms and quality-of-life issues (SQLIs) have been promoted as essential to a comprehensive assessment, efficient and efficacious methods have not been widely tested in clinical settings. The purpose of this trial was to determine the effect of the Electronic Self-Report Assessment–Cancer (ESRA-C) on the likelihood of SQLIs discussed between clinicians and patients with cancer in ambulatory clinic visits. Secondary objectives included comparison of visit duration between groups and usefulness of the ESRA-C as reported by clinicians. Patients and Methods This randomized controlled trial was conducted in 660 patients with various cancer diagnoses and stages at two institutions of a comprehensive cancer center. Patient-reported SQLIs were automatically displayed on a graphical summary and provided to the clinical team before an on-treatment visit (n = 327); in the control group, no summary was provided (n = 333). SQLIs were scored for level of severity or distress. One on-treatment clinic visit was audio recorded for each participant and then scored for discussion of each SQLI. We hypothesized that problematic SQLIs would be discussed more often when the intervention was delivered to the clinicians. Results The likelihood of SQLIs being discussed differed by randomized group and depended on whether an SQLI was first reported as problematic (P = .032). Clinic visits were similar with regard to duration between groups, and clinicians reported the summary as useful. Conclusion The ESRA-C is the first electronic self-report application to increase discussion of SQLIs in a US randomized clinical trial.

Fatigue is the most prevalent and debilitating symptom experienced by breast cancer patients receiving adjuvant chemotherapy or radiation therapy and few evidence-based treatments are available to manage this distressing side-effect. The purpose of this multi-institutional randomized controlled trial was to determine the effects of exercise on fatigue levels during treatment for breast cancer. Sedentary women (N=119) with Stage 0-III breast cancer receiving outpatient adjuvant chemotherapy or radiation therapy were randomized to a home-based moderate-intensity walking exercise program or to usual care for the duration of their cancer treatment. Of participants randomized to exercise, 72% adhered to the exercise prescription; 61% of the usual care group adhered. The intention-to-treat analysis revealed no group differences in part because of a dilution of treatment effect as 39% of the usual care group exercised and 28% of the exercise group did not. When exercise participation was considered using the data analysis method of instrumental variables with principal stratification, a clinically important and statistically significant (p=0.03) effect of exercise on pretest-to-posttest change in fatigue levels was demonstrated. Adherence to a home-based moderate-intensity walking exercise program may effectively mitigate the high levels of fatigue prevalent during cancer treatment.