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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.

Objective: To examine glycemic variability within 1 month and 1 year following surgery among adult patients, with and without Type 2 Diabetes (T2D), treated for stage II-III colon cancer. Method: A retrospective analysis of electronic health record data was conducted. Glycemic variability (i.e., standard deviation [SD] and coefficient of variation [CV] of > 2 blood glucose measures) was assessed within 1 month and within 1 year following colon surgery. Chi-square (χ2), Fisher’s exact, and Mann-Whitney U tests were used for the analyses. Results: Among the sample of 165 patients with stage II–III colon cancer, those with T2D had higher glycemic variability compared to patients without T2D ( p < .001), with values within 1 month following surgery (SD = 44.69 mg/dL, CV = 27.4%) vs (SD = 20.55 mg/dL, CV = 17.53%); and within 1 year following surgery (SD = 45.04 mg/dL, CV = 29.04%) vs (SD = 21.36 mg/dL, CV = 18.6%). Associations were found between lower body mass index and higher glycemic variability (i.e., SD [r = −.413, p < .05] and CV [r = −.481, p < .01]) within 1 month following surgery in patients with T2D. Higher preoperative glucose was associated with higher glycemic variability (i.e., SD r = .448, p < .01) within 1 year in patients with T2D. Demographic and clinical characteristics were weakly associated with glycemic variability in patients without T2D. Conclusions: Patients with stage II–III colon cancer with T2D experienced higher glycemic variability within 1 month and within 1 year following surgery compared to those without T2D. Associations between glycemic variability and demographic and clinical characteristics differed by T2D status. Further research in prospective studies is warranted.