To systematically review the evidence regarding rehabilitation interventions targeting optimal physical or cognitive function in adults with a history of cancer and describe the breadth of evidence as well as strengths and limitations across a range of functional domains. PubMed, Cumulative Index to Nursing and Allied Health Plus, Scopus, Web of Science, and Embase. The time scope was January 2008 to April 2019. Prospective, controlled trials including single- and multiarm cohorts investigating rehabilitative interventions for cancer survivors at any point in the continuum of care were included, if studies included a primary functional outcome measure. Secondary data analyses and pilot/feasibility studies were excluded. Full-text review identified 362 studies for inclusion. Extraction was performed by coauthor teams and quality and bias assessed using the American Academy of Neurology (AAN) Classification of Evidence Scheme (class I-IV). Studies for which the functional primary endpoint achieved significance were categorized into 9 functional areas foundational to cancer rehabilitation: (1) quality of life (109 studies), (2) activities of daily living (61 studies), (3) fatigue (59 studies), (4) functional mobility (55 studies), (5) exercise behavior (37 studies), (6) cognition (20 studies), (7) communication (10 studies), (8) sexual function (6 studies), and (9) return to work (5 studies). Most studies were categorized as class III in quality/bias. Averaging results found within each of the functional domains, 71% of studies reported statistically significant results after cancer rehabilitation intervention(s) for at least 1 functional outcome. These findings provide evidence supporting the efficacy of rehabilitative interventions for individuals with a cancer history. The findings should be balanced with the understanding that many studies had moderate risk of bias and/or limitations in study quality by AAN criteria. These results may provide a foundation for future work to establish clinical practice guidelines for rehabilitative interventions across cancer disease types.

A major gap impeding development of new treatments for cancer-related fatigue is an inadequate understanding of the complex biological, clinical, demographic, and lifestyle mechanisms underlying fatigue. In this paper, we describe a new application of a comprehensive model for cancer-related fatigue: the predisposing, precipitating, and perpetuating (3P) factors model. This model framework outlined herein, which incorporates the emerging field of metabolomics, may help to frame a more in-depth analysis of the etiology of cancer-related fatigue as well as a broader and more personalized set of approaches to the clinical treatment of fatigue in oncology care. Included within this review paper is an in-depth description of the proposed biological mechanisms of cancer-related fatigue, as well as a presentation of the 3P model’s application to this phenomenon. We conclude that a clinical focus on organization risk stratification and treatment around the 3P model may be warranted, and future research may benefit from expanding the 3P model to understand fatigue not only in oncology, but also across a variety of chronic conditions.

Supportive care in oncology helps people cope with cancer and its psychological, physical, and emotional side effects. However, cancer survivors report dissatisfaction with supportive care and a need for more psychosocial and self-management services. Occupational therapy practitioners represent an integral part of the supportive care team because their scope of practice emphasizes function. Through a focus on function, practitioners address the full spectrum of physical and psychosocial care. Currently, conceptualizations of occupational therapy for cancer survivors often focus solely on physical interventions and, therefore, do not represent the unique involvement of the profession in supportive oncology care. We advocate for a focused framework for occupational therapy practitioners in oncology as experts in function and providers of both physical and psychosocial treatments. Barriers to a focus on function are identified, and strategies are suggested for expanding involvement for the profession in supportive oncology care.

Purpose: Determine correlations between health-related quality of life (HRQOL), supportive care need, and sociodemographic factors in low-income Latina breast cancer survivors. Methods: A descriptive, survey-based, cross-sectional study was completed with 102 low-income Latina breast cancer survivors at a major public safety net hospital. Correlation coefficients were calculated between number of unmet supportive care needs (per Supportive Care Needs Survey), HRQOL (per SF-36), and sociodemographic variables. Results: Unmet supportive care needs were correlated with lower HRQOL in all domains (r > −0.40; p < 0.0001). Lower income was significantly associated with lower HRQOL (r > 0.21; p < 0.05) and more supportive care needs (r = −0.22; p < 0.05). Multimorbidity was significantly associated with decreased HRQOL (r > −0.23; p < 0.05) and greater supportive care need (r = 0.19; p < 0.05). Conclusions: Identifying and addressing unmet supportive care needs may improve HRQOL in low-income Latina breast cancer survivors. Rehabilitation interventions that address barriers to accessing supportive care related to low SES and multimorbidity may also improve health outcomes in this population. The dual effect of multimorbidity on both quality of life and level of supportive care need in this population warrants further investigation.

OBJECTIVE. This qualitative study examined the experience of occupational engagement in low-income Latina breast cancer survivors and suggests the potential for occupational therapy practitioners to improve health outcomes in this vulnerable and underserved population. METHOD. Semistructured interviews were conducted with 9 participants. Inductive analysis was used to code for themes and patterns related to occupational engagement and quality of life (QOL). RESULTS. Lack of occupational engagement negatively affected QOL, but participation in occupations such as religious activity and caregiving promoted well-being. Financial concerns and communication barriers decreased QOL. CONCLUSION. Breast cancer can have a negative impact on occupational engagement in low-income Latina breast cancer survivors; however, some occupations may increase QOL. Socioeconomic status and cultural values influence occupational engagement and QOL. Occupational therapy practitioners can improve health outcomes in this population through awareness of relevant sociocultural factors and attention to appropriate patient communication.