Policy analysis of access to and reimbursement for nonpharmacologic therapies for cancer-related fatigue.

Cancer-related fatigue (CRF) is an important public health issue that involves millions of community-dwelling cancer survivors. CRF is the most debilitating patient reported symptom related to cancer therapies and exacts a significant economic and social toll. It adversely impacts patients' work, social relationships, and overall quality of life. CRF prevalence ranges from 30% to 90% during therapy and often persists months and years afterwards. This policy analysis examines the problem of lack of patient access to evidence-based nonpharmacologic CRF therapies. The authors use a five-step process described by Teitelbaum & Wilenski (2017) to address the problem statement, identify key stakeholders, explore problem landscape, describe two viable policy options, and make a recommendation. The two policy options considered were: (a) insurer reimbursements modeled after existing cardiac rehabilitation programs and (b) health care provider incentives that incorporate the oncology care model (OCM) quality measure. Advantages and disadvantages of both options are presented. Public health nurses are uniquely positioned in their communities to advocate for these changes to improve population health.

Breast Cancer Collaborative Registry informs understanding of factors predicting sleep quality.

SIGNIFICANCE: Poor sleep quality is a common and persistent problem reported by women with breast cancer (BC). Empirical evidence identifies many risk factors for self-reported sleep deficiency, but inconsistencies limit translation to practice. PURPOSE: To increase understanding of risk factors predicting self-reported poor sleep quality in women with BC who completed the Breast Cancer Collaborative Registry (BCCR) questionnaire. METHODS: This cross-sectional study recruited women with a first diagnosis of BC (n = 1302) at five sites in Nebraska and South Dakota. Women completed the BCCR that includes numerous variables as well as the Pittsburgh Sleep Quality Index (PSQI) and SF36v2 (n = 1260). Descriptive statistics and non-parametric correlations were used to determine associations and create predictive models of sleep quality with BCCR variables and SF36v2 subscales. RESULTS: Most women were white (93.7%) and married (71.5%); mean age was 60.1 (21-90) years. Poor sleep was self-reported by 53% of women. Seven variables were highly associated with sleep quality (p ≤ 0.001). The first model found younger age, lower physical activity, and higher fatigue were the strongest combined and independent variables predicting poor sleep quality (F = 23.0 (p < .001), R2 = 0.103). Participants self-reported lower health status on most SF36v2 subscales [Z = 44.9 (11.6) to 49.1 (10.1)]. A second model found that all subscales were predictors of poor sleep; vitality, mental health, bodily pain, and general health were the strongest predictors (F = 101.3 (p < .001), R2 = 0.26). CONCLUSIONS: Results confirm previously identified risk factors and reveal inconsistencies in other variables. Clinicians need to routinely screen for the identified risk factors of self-reported poor sleep quality.

Impact of Yoga on Inflammatory Biomarkers: A Systematic Review.

BACKGROUND: Many chronic conditions, including heart disease, cancer, and rheumatoid arthritis, are associated with underlying chronic inflammatory processes. Literature reviews have analyzed a variety of integrative therapies and their relationships with chronic inflammation. This systematic review is unique in reporting solely on yoga's relationship with inflammation. Its purpose was to synthesize current literature examining the impact of yoga interventions on inflammatory biomarkers in adults with chronic inflammatory-related disorders. METHOD: Searches of several electronic databases were conducted. Inclusion criteria were (a) English language, (b) sample age >18 years old, (c) yoga interventions involving postures with or without yoga breathing and/or meditation, and (d) measured inflammatory biomarkers. RESULTS: The final review included 15 primary studies. Of these, seven were rated as excellent and eight as average or fair. There was considerable variability in yoga types, components, frequency, session length, intervention duration, and intensity. The most common biomarkers measured were interleukin-6 ( n = 11), C-reactive protein ( n = 10), and tumor necrosis factor ( n = 8). Most studies reported positive effects on inflammatory biomarkers ( n = 11) from baseline to post yoga intervention. Analysis of the dose showed higher total dose (>1,000 min) resulted in greater improvements in inflammation. CONCLUSION: This review suggests that yoga can be a viable intervention to reduce inflammation across a multitude of chronic conditions. Future studies with detailed descriptions of yoga interventions, measurement of new and well-established inflammatory biomarkers, and larger sample sizes are warranted to advance the science and corroborate results.

Effects of Exercise on Sleep in Women with Breast Cancer: A Systematic Review.

Sleep deficiency is common and distressing for women with breast cancer throughout the care continuum. This article describes the scope and quality of evidence related to exercise interventions to improve sleep in women with breast cancer. Fifteen studies met the criteria and 12 were judged to be excellent quality. The most frequent intervention was walking, primarily during the time of chemotherapy. Eleven studies reported postintervention improvement in sleep deficiency. Most yoga, qigong, and dance intervention studies reported no differences between groups. Emerging evidence exists for the effectiveness of aerobic exercise to improve various sleep outcomes in women with breast cancer.

Preferences and actual chemotherapy decision-making in the greater plains collaborative breast cancer study.

INTRODUCTION: There is renewed interest in identifying breast cancer patients' participation in decision-making about adjuvant chemotherapy. There is a gap in the literature regarding the impact of these decisions on quality of life (QOL) and quality of care (QOC). Our aims were to determine similarities and differences in how patients diagnosed with breast cancer preferred to make decisions with providers about cancer treatment, to examine the patient's recall of her role when the decision was made about chemotherapy and to determine how preferred and actual roles, as well as congruence between them, relate to QOL and perceived QOC. MATERIAL AND METHODS: Greater Plains Collaborative clinical data research network of PCORnet conducted the 'Share Thoughts on Breast Cancer' survey among women 12-18 months post-diagnosis at eight sites in seven Midwestern United States. Patients recalled their preferred and actual treatment decision-making roles and three new shared decision-making (SDM) variables were created. Patients completed QOL and QOC measurements. Correlations and t-tests were used. RESULTS: Of 1235 returned surveys, 873 (full sample) and 329 (subsample who received chemotherapy) were used. About one-half of women in both the full (50.7%) and subsample (49.8%,) preferred SDM with providers about treatment decisions, but only 41.2% (full) and 42.6% (subsample) reported experiencing SDM. Significant differences were found between preferred versus actual roles in the full (p < .001) and subsample (p < .004). In the full sample, there were no relationships between five decision-making variables with QOL, but there was an association with QOC. The subsample's decision-making variables related to several QOL scales and QOC items, with a more patient-centered decision than originally preferred related to higher physical and social/family well-being, overall QOL and QOC. CONCLUSIONS: Patients benefit from providers' efforts to identify patient preferences, encourage an active role in SDM, and tailor decision making to their desired choice.